bigspark

<html><head></head><body>We're seeking a Software Engineer to design, architect, and deliver enterprise-grade, cloud-native applications using Python, and modern frameworks. You'll work in a remote-first environment with occasional client site visits, leading technical delivery, shaping architecture decisions, and mentoring engineers to deliver scalable, secure, and high-quality solutions that meet both client and business needs. What You'll Do<ul><li>Design, and build scalable, high-performance applications using microservices, event-driven, and serverless patterns.</li><li>Implement DevSecOps best practices, including CI/CD pipelines, automated testing, and infrastructure-as-code.</li><li>Ensure application observability (logging, tracing, metrics) from design through production.</li></ul> What You'll Bring<ul><li>Strong python development</li><li>Designing and developing Microservices solutions (Python)</li><li>Hands-on exp building and integrating REST APIs/API Integration (Python)</li><li>Deploying &amp; running applications on AWS</li></ul>Good to have:<ul><li>Experience in langraph</li><li>LLM/RAG knowledge</li></ul></body></html>

We're seeking a Software Engineer to design, architect, and deliver enterprise-grade, cloud-native applications using Python, and modern frameworks. You'll work in a remote-first environment with occasional client site visits, leading technical delivery, shaping architecture decisions, and mentoring engineers to deliver scalable, secure, and high-quality solutions that meet both client and business needs.

What You'll Do

Design, and build scalable, high-performance applications using microservices, event-driven, and serverless patterns.
Implement DevSecOps best practices, including CI/CD pipelines, automated testing, and infrastructure-as-code.
Ensure application observability (logging, tracing, metrics) from design through production.

What You'll Bring

Strong python development
Designing and developing Microservices solutions (Python)
Hands-on exp building and integrating REST APIs/API Integration (Python)
Deploying & running applications on AWS

Good to have:

Experience in langraph
LLM/RAG knowledge

Software Engineer

Northflank

<html><head></head><body>Northflank is a cutting-edge cloud platform enabling developers to build and ship highly scalable, full-stack applications faster than ever before. We are a venture-backed company, and our platform is used by tens of thousands of developers worldwide in production.&nbsp;We are currently looking for a backend software engineer to join our team of passionate, dedicated professionals. As a backend software engineer at Northflank, you will play a crucial role in building core technology and contributing to the platform’s stability, performance, and product roadmap.This position is remote.Timezone: Working hours aligned with UTC ± 2 hoursKey Responsibilities:<ul><li>Design and implement scalable backend systems and APIs</li><li>Optimize database performance and data structures</li><li>Develop and maintain microservices architecture</li><li>Ensure high availability and fault tolerance of our systems</li><li>Collaborate with front-end developers and DevOps teams</li><li>Participate in code reviews and technical discussions</li></ul>Requirements:<ul><li>3+ years of experience in backend development</li><li>Proficiency in languages such as Go, Python, or Node.js</li><li>Strong knowledge of databases (SQL and NoSQL)</li><li>Understanding of RESTful APIs and microservices architecture</li><li>Excellent problem-solving and communication skills</li></ul>Preferred Qualifications:<ul><li>Experience with distributed systems and message queues</li><li>Experience with cloud platforms (AWS, GCP, or Azure)</li><li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li><li>Knowledge of CI/CD practices and tools</li><li>Contributions to open-source projects</li></ul>We offer a competitive salary, equity, and benefits package, and the opportunity to be part of a fast-growing startup at the forefront of the cloud-native revolution.If you are passionate about infrastructure software and want to join a dynamic team, we’d love to hear from you!CompensationThe compensation for this role will depend on a number of factors including but not limited to: skill set, experience, training, and location. The salary range is between £45k-£100k.Diversity StatementAt Northflank, we are committed to fostering a culture where every individual feels valued, respected, and supported, regardless of their background or identity. We are dedicated to providing equal treatment and opportunity throughout hiring, selection, and employment regardless of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other legally protected category. Northflank is an equal opportunity employer.</body></html>

Northflank is a cutting-edge cloud platform enabling developers to build and ship highly scalable, full-stack applications faster than ever before. We are a venture-backed company, and our platform is used...

Backend Software Engineer

Nagarro

<html><head></head><body><div class="job_listing-description job-overview col-md-10 col-sm-12">
 <h2 class="widget-title widget-title--job_listing-top job-overview-title">Overview</h2>
 REQUIREMENTS:
<ul>
<li>Total experience 11+ years.</li>
<li>Should have 10+ years of experience in software engineering, with strong depth in Python and modern frontend frameworks (React).</li>
<li>Should have proven experience architecting and delivering production-grade Generative AI applications at scale.</li>
<li>Design solutions and implement ML, generative AI and agentic AI models and algorithms, utilizing state-of-the-art algorithms.</li>
<li>Should be able to drive backend deployment, security reviews, and QA pipelines, coordinate integration of RAG APIs and vector DB pipelines&nbsp;&nbsp;</li>
<li>Should be able to work on integrating cloud with AI algorithms and On premises AI algorithms.</li>
<li>Optimize existing AI models for improved performance, scalability, and efficiency.&nbsp;</li>
<li>Should be able to develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation.</li>
<li>Should be able to drive the team to build AI products and solutions, working in an agile methodology&nbsp;&nbsp; Manage delivery across pods building scalable AI and API services</li>
<li>Should have deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design.</li>
<li>Should have experience in Datarobot for architecting and building GenAI Solutions,&nbsp;RAG Agents and Deployment&nbsp;&nbsp;</li>
<li>Must have experience defining technical strategy and influencing architecture across teams or pods.</li>
<li>Should have hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.</li>
<li>Should have strong grasp of security, privacy, and governance considerations for enterprise AI.</li>
<li>Must have ability to translate ambiguous business problems into durable technical architectures.</li>
<li>Should have excellent communication skills, with the ability to influence senior stakeholders and technical leadership.</li>
</ul>
RESPONSIBILITIES:
<ul>
<li>Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.</li>
<li>Design scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.</li>
<li>Promote use of code quality agents and modern CI/CD practices.</li>
<li>Collaborate with the Product Manager/Architect to define deliverables and technical strategy.&nbsp;</li>
<li>Drive the integration of AI/ML capabilities into products using market trending libraries.&nbsp;&nbsp;</li>
<li>Define frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards.</li>
<li>&nbsp;Lead the design and implementation of complex GenAI workflows that combine LLMs, tools, APIs, structured data, and user context.</li>
<li>Troubleshoot and resolve issues related to AI models and implementations.&nbsp;&nbsp; Create and maintain documentation for AI models and their applications.&nbsp;&nbsp;</li>
<li>Establish engineering standards and best practices for prompt design, model integration, evaluation, and observability.</li>
<li>Drive GenAI platformisation building reusable components, SDKs, and frameworks used across multiple teams or products.</li>
<li>Partner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.</li>
<li>Review critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar.</li>
<li>Lead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required.</li>
<li>Ensure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices.</li>
<li>&nbsp;Use AI-assisted development tools (e.g., Copilot, Claude Code) to accelerate delivery while maintaining production-grade quality.</li>
<li>Mapping decisions with requirements and be able to translate the same to developers.</li>
<li>Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.</li>
<li>Defining guidelines and benchmarks for NFR considerations during project implementation</li>
<li>Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers</li>
<li>Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.</li>
<li>Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it</li>
<li>Understanding and relating technology integration scenarios and applying these learnings in projects</li>
<li>Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.</li>
<li>Carrying out POCs to make sure that suggested design/technologies meet the requirements.</li>
</ul>
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Tagged as: agile, AI, LLM, machine learning, Python, RAG, React, senior
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			</div>
 </div></body></html>

Overview
REQUIREMENTS:
Total experience 11+ years.
Should have 10+ years of experience in software engineering, with strong depth in Python and modern frontend frameworks (React).
Should have proven experience architecting and delivering production-grade Generative AI applications at scale.
Design solutions and implement ML, generative AI and agentic AI models and algorithms, utilizing state-of-the-art algorithms.
Should be able to drive backend deployment, security reviews, and QA pipelines, coordinate integration of RAG APIs and vector DB pipelines&nbsp;&nbsp;
Should be able to work on integrating cloud with AI algorithms and On premises AI algorithms.
Optimize existing AI models for improved performance, scalability, and efficiency.&nbsp;
Should be able to develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation.
Should be able to drive the team to build AI products and solutions, working in an agile methodology&nbsp;&nbsp; Manage delivery across pods building scalable AI and API services
Should have deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design.
Should have experience in Datarobot for architecting and building GenAI Solutions,&nbsp;RAG Agents and Deployment&nbsp;&nbsp;
Must have experience defining technical strategy and influencing architecture across teams or pods.
Should have hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems.
Should have strong grasp of security, privacy, and governance considerations for enterprise AI.
Must have ability to translate ambiguous business problems into durable technical architectures.
Should have excellent communication skills, with the ability to influence senior stakeholders and technical leadership.
RESPONSIBILITIES:
Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Design scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.
Promote use of code quality agents and modern CI/CD practices.
Collaborate with the Product Manager/Architect to define deliverables and technical strategy.&nbsp;
Drive the integration of AI/ML capabilities into products using market trending libraries.&nbsp;&nbsp;
Define frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards.
&nbsp;Lead the design and implementation of complex GenAI workflows that combine LLMs, tools, APIs, structured data, and user context.
Troubleshoot and resolve issues related to AI models and implementations.&nbsp;&nbsp; Create and maintain documentation for AI models and their applications.&nbsp;&nbsp;
Establish engineering standards and best practices for prompt design, model integration, evaluation, and observability.
Drive GenAI platformisation building reusable components, SDKs, and frameworks used across multiple teams or products.
Partner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.
Review critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar.
Lead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required.
Ensure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices.
&nbsp;Use AI-assisted development tools (e.g., Copilot, Claude Code) to accelerate delivery while maintaining production-grade quality.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the client’s requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
Understanding and relating technology integration scenarios and applying these learnings in projects
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
Tagged as: agile, AI, LLM, machine learning, Python, RAG, React, senior
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Principal Engineer, Python fullstack (React+Genai)

Accesa

<html><head></head><body><div class="job_listing-description job-overview col-md-10 col-sm-12">
 <h2 class="widget-title widget-title--job_listing-top job-overview-title">Overview</h2>
 We are hiring for a major customer in the agricultural industry and looking for a Mid-level Backend Engineer with solid Python experience to build and maintain production-grade backend services. In this role, you will work on backend systems, data processing flows, API integrations, and cloud-based services, collaborating closely with mobile, DevOps, Product, and other engineering teams. The role also involves occasional contributions to the customer’s Flutter mobile application (up to approximately 20% of the time), so hands-on Flutter experience is required.
You will be expected to deliver reliable, well-maintained features with a focus on quality, performance, and observability, taking increasing ownership of backend functionality as you grow within the project.
Responsibilities&nbsp;&nbsp;
<ul>
<li>Develop and maintain production-grade backend services using Python as the primary programming language.</li>
<li>Implement and integrate REST APIs for internal and external consumers.</li>
<li>Work with AWS cloud services, including compute, storage, and common cloud patterns, following established architecture guidelines.</li>
<li>Contribute to data processing flows, including batch, streaming, or near real-time pipelines.</li>
<li>Integrate backend services with external systems, third-party APIs, and AI inference services.</li>
<li>Work with relational and/or NoSQL databases, depending on system requirements.</li>
<li>Contribute to features in the Flutter mobile application when needed (up to ~20% of the time), collaborating with the mobile team.</li>
<li>Use CI/CD pipelines for deployments, versioning, and environment management, in collaboration with DevOps teams.</li>
<li>Apply logging, monitoring, and observability practices to support production systems.</li>
<li>Debug and resolve production issues, escalating and collaborating with senior engineers on complex cross-service problems.</li>
<li>Write clean, maintainable, and well-tested code, with attention to performance and reliability.</li>
<li>Collaborate with mobile, Product, DevOps, and other engineering teams to deliver high-quality solutions.</li>
<li>Participate in agile ceremonies and contribute to planning and estimation.</li>
<li>Flag risks, blockers, and technical dependencies early.</li>
</ul>
Must Have
<ul>
<li>Professional experience as a Backend Engineer, with solid hands-on experience in Python.</li>
<li>Experience contributing to production-grade backend services.</li>
<li>Good understanding of REST API implementation and integration.</li>
<li>Practical experience with Flutter and mobile app development, with the willingness to contribute to mobile features on a part-time basis (~20%).</li>
<li>Practical experience with AWS cloud services.</li>
<li>Experience working with relational and/or NoSQL databases.</li>
<li>Understanding of data processing concepts, such as incoming data streams, batch processing, or near real-time flows.</li>
<li>Familiarity with CI/CD pipelines, deployment processes, and versioning.</li>
<li>Familiarity with logging, monitoring, and observability tools for debugging production systems.</li>
<li>Good problem-solving and debugging skills.</li>
<li>Good communication skills and the ability to collaborate with cross-functional teams.</li>
<li>Accountability for the quality of delivered features and openness to feedback.</li>
<li>Attention to code quality, performance, and maintainability.</li>
<li>Comfortable working in agile teams and adapting to changing priorities.</li>
<li>Regular use of AI tools to improve productivity, automate or reduce repetitive work, support decision-making, and deliver higher-quality outcomes.</li>
<li>Ability to use AI tools responsibly by structuring effective prompts, critically validating outputs, understanding limitations, and taking ownership of the final result.</li>
</ul>
Nice to Have
<ul>
<li>Experience with event-driven architectures, queues, messaging systems, or asynchronous processing.</li>
<li>Experience integrating with AI inference services or machine learning-related APIs.</li>
<li>Experience publishing or maintaining mobile apps (iOS/Android release processes).</li>
<li>Familiarity with infrastructure-as-code, containerization, or orchestration tools.</li>
<li>Basic understanding of or exposure to Go.</li>
<li>Experience in systems where reliability, observability, and production support are important.</li>
</ul>
As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.
At Accesa you can
Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.
<ul>
<li>Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.</li>
<li>Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.</li>
<li>Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance.</li>
<li>Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.</li>
</ul>
Tagged as: agile, AI, AWS, Backend, CI/CD, DevOps, flutter, mid-level, Python, REST API
 	<div class="job_application application">
		
		
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			</div>
 </div></body></html>

Overview
We are hiring for a major customer in the agricultural industry and looking for a Mid-level Backend Engineer with solid Python experience to build and maintain production-grade backend services. In this role, you will work on backend systems, data processing flows, API integrations, and cloud-based services, collaborating closely with mobile, DevOps, Product, and other engineering teams. The role also involves occasional contributions to the customer’s Flutter mobile application (up to approximately 20% of the time), so hands-on Flutter experience is required.
You will be expected to deliver reliable, well-maintained features with a focus on quality, performance, and observability, taking increasing ownership of backend functionality as you grow within the project.
Responsibilities&nbsp;&nbsp;
Develop and maintain production-grade backend services using Python as the primary programming language.
Implement and integrate REST APIs for internal and external consumers.
Work with AWS cloud services, including compute, storage, and common cloud patterns, following established architecture guidelines.
Contribute to data processing flows, including batch, streaming, or near real-time pipelines.
Integrate backend services with external systems, third-party APIs, and AI inference services.
Work with relational and/or NoSQL databases, depending on system requirements.
Contribute to features in the Flutter mobile application when needed (up to ~20% of the time), collaborating with the mobile team.
Use CI/CD pipelines for deployments, versioning, and environment management, in collaboration with DevOps teams.
Apply logging, monitoring, and observability practices to support production systems.
Debug and resolve production issues, escalating and collaborating with senior engineers on complex cross-service problems.
Write clean, maintainable, and well-tested code, with attention to performance and reliability.
Collaborate with mobile, Product, DevOps, and other engineering teams to deliver high-quality solutions.
Participate in agile ceremonies and contribute to planning and estimation.
Flag risks, blockers, and technical dependencies early.
Must Have
Professional experience as a Backend Engineer, with solid hands-on experience in Python.
Experience contributing to production-grade backend services.
Good understanding of REST API implementation and integration.
Practical experience with Flutter and mobile app development, with the willingness to contribute to mobile features on a part-time basis (~20%).
Practical experience with AWS cloud services.
Experience working with relational and/or NoSQL databases.
Understanding of data processing concepts, such as incoming data streams, batch processing, or near real-time flows.
Familiarity with CI/CD pipelines, deployment processes, and versioning.
Familiarity with logging, monitoring, and observability tools for debugging production systems.
Good problem-solving and debugging skills.
Good communication skills and the ability to collaborate with cross-functional teams.
Accountability for the quality of delivered features and openness to feedback.
Attention to code quality, performance, and maintainability.
Comfortable working in agile teams and adapting to changing priorities.
Regular use of AI tools to improve productivity, automate or reduce repetitive work, support decision-making, and deliver higher-quality outcomes.
Ability to use AI tools responsibly by structuring effective prompts, critically validating outputs, understanding limitations, and taking ownership of the final result.
Nice to Have
Experience with event-driven architectures, queues, messaging systems, or asynchronous processing.
Experience integrating with AI inference services or machine learning-related APIs.
Experience publishing or maintaining mobile apps (iOS/Android release processes).
Familiarity with infrastructure-as-code, containerization, or orchestration tools.
Basic understanding of or exposure to Go.
Experience in systems where reliability, observability, and production support are important.
As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.
At Accesa you can
Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.
Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.
Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.
Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance.
Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.
Tagged as: agile, AI, AWS, Backend, CI/CD, DevOps, flutter, mid-level, Python, REST API
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Python Software Engineer

Grafana Labs

<html><head></head><body>Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.The Internal Engineering Platform (IEP) delivered by the Foundations group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads.We are hiring an engineer as part of the creation of a new Foundation's "Metal" squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering.You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best.You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision.As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too.You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn.You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell.You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users.<ul><li>Datacenter experience.</li><li>Participation in an on-call rotation.</li></ul> What You'll Be Doing:<ul><li>Management of our physical "Metal" environment from bare metal to kubernetes.</li><li>Management of cluster networking components: load balancing, NAT, DNS, CNIs, cross-cluster communication, Routing protocols, Architecture.</li><li>Management of scheduling and autoscaling.</li><li>Maintaining Crossplane compositions and Terraform modules for CSP resources common to our users. As well the management of versioning and compatibility for Crossplane and Terraform core as well as providers.</li><li>Work with our users (Grafana Cloud application teams) to help understand their needs and ensure we're investing in the right capabilities.</li></ul> Bonus Points For:<ul><li>Experience with Cluster-API, Tinkerbell, Talos and/or Ceph</li><li>You've worked in or on open source, or other community-based projects previously. At Grafana Labs, "OSS is in our DNA".</li><li>Experience with a few CSPs. We run Grafana Cloud on AWS, GCP, and Azure using each's managed Kubernetes service - EKS, GKE, AKS.</li><li>Experience operating and managing workloads on Kubernetes. We use Tanka for configuration management with Jsonnet.</li><li>Familiarity with Kubernetes scheduling and projects like Karpenter.</li><li>Terraform and/or Crossplane experience. We have mixed usage - each has its strengths.</li><li>Enjoys programming in Go! We love building our own tools, utilities, exporters, etc. that suit our needs and otherwise don't exist (and open sourcing them).</li><li>Maybe there's something missing in this job description that you think you might bring to our table? Feel free to let us know!</li></ul></body></html>

Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.
The Internal Engineering Platform (IEP) delivered by the Foundations group provides application engineers with the tools, systems and Kubernetes clusters they need to build, deploy and run their workloads.
We are hiring an engineer as part of the creation of a new Foundation's "Metal" squad. This squad will be responsible for building and provisioning resources including storage, networking and Kubernetes clusters in new environments, starting with our own physical hardware. They will provide a Kubernetes control plane and underlying resources, outside public Cloud, to the rest of Engineering.
You enjoy working with engineers, as well as with the management structures that are there to support you and enable you and your team to do your very best.
You are comfortable working in a remote-first company; communication is key. For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus, you can contribute to a discussion but then commit to the team decision.
As such, being such a highly distributed company, means we would love someone who is keen on working with distributed systems, too.
You are eager to learn and grow. There is a lot of room for growth and development, and the team has quite a lot of knowledge to share for those who are wanting to learn.
You approach development holistically. The team owns the full life cycle of our code; from writing design docs, to looking at developer feedback, and integration testing. We appreciate engineers who enjoy looking at the big picture, and also notice the details of the brush strokes. The Platform team mainly works with Go, Python, and Shell.
You have experience with operating your code. Since a lot of operators and developers use our software, having some grounding in both of these spaces really helps us with building better platforms for our users.

Datacenter experience.
Participation in an on-call rotation.

What You'll Be Doing:

Management of our physical "Metal" environment from bare metal to kubernetes.
Management of cluster networking components: load balancing, NAT, DNS, CNIs, cross-cluster communication, Routing protocols, Architecture.
Management of scheduling and autoscaling.
Maintaining Crossplane compositions and Terraform modules for CSP resources common to our users. As well the management of versioning and compatibility for Crossplane and Terraform core as well as providers.
Work with our users (Grafana Cloud application teams) to help understand their needs and ensure we're investing in the right capabilities.

Bonus Points For:

Experience with Cluster-API, Tinkerbell, Talos and/or Ceph
You've worked in or on open source, or other community-based projects previously. At Grafana Labs, "OSS is in our DNA".
Experience with a few CSPs. We run Grafana Cloud on AWS, GCP, and Azure using each's managed Kubernetes service - EKS, GKE, AKS.
Experience operating and managing workloads on Kubernetes. We use Tanka for configuration management with Jsonnet.
Familiarity with Kubernetes scheduling and projects like Karpenter.
Terraform and/or Crossplane experience. We have mixed usage - each has its strengths.
Enjoys programming in Go! We love building our own tools, utilities, exporters, etc. that suit our needs and otherwise don't exist (and open sourcing them).
Maybe there's something missing in this job description that you think you might bring to our table? Feel free to let us know!

Lemon.io

<html><head></head><body>Are you a talented Senior AI Engineer/Architect looking for a remote job that lets you show your skills and get decent compensation? Look no further than <a href="https://lemon.io/for-developers/?utm_source=workingnomads&amp;utm_medium=job_ad&amp;utm_campaign=supply_en_ai_engineer_aug_2026_job_ad" rel="nofollow" target="_blank">Lemon.io</a> — the marketplace that connects you with hand-picked startups in the US and Europe.
What we offer:
<ul>
<li>The rate depends on your skills and experience. We've already paid out over $11M to our engineers.</li>
<li>No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best.</li>
<li>We'll manually find the best project for you according to your skills and preferences.</li>
<li>Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours.</li>
<li>We respect your seniority so you can expect no micromanagement or screen trackers.</li>
<li>Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah?</li>
<li>We will support you from the time you submit the application throughout all cooperation stages.</li>
<li>Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do.</li>
<li>Through our community, we will connect you with the best developers from more than 75 countries.</li>
</ul>
We have several AI-related roles; here are some of them.
Requirements - AI Engineer:
<ul>
<li>3+ years of commercial experience applying AI to practical technology solutions</li>
<li>A solid understanding of Python is a must; experience with other programming languages commonly used in AI is a plus</li>
<li>Experience with Vector Databases, Pinecone or Weaviate is required</li>
<li>2+ years of experience with LangChain is mandatory</li>
<li>2+ years of experience with large language models (LLMs) or vLLMs is mandatory</li>
<li>2+ years of experience with RAG or OpenAI is required</li>
</ul>
Requirements - AI Agent Architect:
<ul>
<li>3+ years of experience with Python</li>
<li>3+ years of experience with LLM</li>
<li>Experience with Multi-agent systems architecture, AI agent orchestration, AI telemetry is a must.</li>
</ul>
Requirements - AI Automation Architect:
<ul>
<li>1+ year of experience with Workflow Automation and Webhooks</li>
<li>3+ years with SQL is a must</li>
<li>Familiarity with AI API integration and Claude Cowork is a must</li>
<li>Knowledge of Make.com/n8n/Zapier</li>
</ul>
&nbsp;
<ul>
<li>Strong technical skills: as a Senior AI Engineer/Architect, you are expected to be able to create projects from scratch and have a deep understanding of application architecture.</li>
<li>Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls.</li>
<li>Strong self-organizational skills — ability to work full-time remotely with no supervision.</li>
<li>Reliability — we want to trust you and expect that you won’t let us and the client down.</li>
<li>Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly.</li>
</ul>
Sounds good for you? Apply now and join the <a href="https://lemon.io/for-developers/?utm_source=workingnomads&amp;utm_medium=job_ad&amp;utm_campaign=supply_en_ai_engineer_aug_2026_job_ad" rel="nofollow" target="_blank">Lemon.io</a> community!
NOT YOUR TECH STACK?
We have a variety of projects, so if you have 4+ years of commercial software development experience and are proficient in Site Reliability Engineering, Platform Engineering, React &amp; Python, React &amp; Golang, Golang, React &amp; Java, React &amp; Ruby, Ruby, PHP &amp; Vue, Vue &amp; Node.js, React &amp; .NET, Android &amp; iOS, iOS &amp; Swift, Flutter &amp; Dart, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular &amp; Node.js, Vue &amp; .NET, Python &amp; Vue, DevOps, MLOps, Data Science, Angular &amp; PHP, Angular &amp; .NET, Symfony &amp; React, Symfony &amp; Vue, Symfony &amp; Angular, Python, Symfony &amp; JavaScript &amp; Next.js &amp; TypeScript, Data Analysis, React &amp; PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native &amp; Node, React Native &amp; React, React Native &amp; Ruby, React Native &amp; Python, WordPress, Android, Data Annotation, Angular, Python &amp; Node, React &amp; Node.js, Java &amp; Spring, Svelte &amp; Python, Svelte &amp; Node.js, Svelte &amp; TypeScript, Rust, Shopify &amp; JavaScript, Vue &amp; Nuxt, PHP &amp; Laravel, UI/UX Design, Animation, Graphic Design, React &amp; Node &amp; React Native, .NET &amp; C#, Electron, Scala, C++, Unreal Engine &amp; C++, Python &amp; LLM, Unity, or Machine Learning Engineering, we would be happy to connect with you and match you with a project that fits your experience.
We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa).
&nbsp;</body></html>

Are you a talented Senior AI Engineer/Architect looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe.
What we offer:
The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best.
We'll ma

Senior AI Engineer

Binance

<html><head></head><body>Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.Our mission is to accelerate cryptocurrency adoption and increase the freedom of money. If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you. <h2>Responsibilities</h2><ul> <li>Development and implementation Backend service for the AI Chatbot products.</li> <li>Build large scale software system, which can impact daily life of millions of customers.</li> <li>Explore and integrate the LLM applications to improve chatbot performance and user experience.</li> <li>Underlying infra/arch upgrade performance tuning, online incidents troubleshooting, and system refactoring.</li> <li>Write high-quality, clean, and maintainable code using engineering best practices guide junior engineers’ daily work and do knowledge share, etc.</li> </ul><h2>Requirements</h2><ul> <li>Bachelor’s/Master’s degree in computer science, engineering, or equivalent industry experience.</li> <li>Over 8 years of professional experience in a related field.</li> <li>Core Java programming skills and willingness to do hands on coding are a must.</li> <li>Knowledge and experience with Python and familiar with collaborating with algorithm engineers.</li> <li>Capable to cope with stress, and quickly learn new knowledge.</li> <li>Good cross-team communication skills.</li> <li>Familiarity with design patterns and system design required to solve common software programming challenges.</li> <li>Knowledge and experience with Chatbot &amp; Custom service Bot is considered as a plus.</li> <li>Knowledge and experience with LLM usage is considered as a plus.</li> <li>Knowledge and experience with data job like Flink/Spark are considered as a plus.</li> </ul>Working at Binance• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless• Tackle fast-paced, challenging and unique projects• Work in a truly global organization, with international teams and a flat organizational structure• Competitive salary and benefits• Flexible working hours, remote-first, and casual work attire Learn more about how Binancians embody the organization’s&nbsp;<a href="https://www.binance.com/en/blog/ecosystem/what-exactly-is-binances-culture-5487396240897265423" rel="nofollow ugc noopener" target="_blank">core values</a>, creating a unified culture that enables collaboration, excellence, and growth. Apply today to be a part of the Web3 revolution! Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our&nbsp;<a href="https://www.binance.com/en/candidate/privacy/notice" rel="nofollow ugc noopener" target="_blank">Candidate Privacy Notice</a>.</body></html>

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.Our mission is to accelerate cryptocurrency adoption and increase...

Java Backend Engineer (AI/LLM Chatbot, Customer Service)

<html><head></head><body>We're looking for a Senior Software Developer who is excited about building reliable, scalable billing and commerce systems. You'll join a tight-knit team of engineers and work directly with your engineering manager, senior developers, QA, and cross-functional partners across Salesforce, finance, and channel ops.This is a full-stack backend-leaning role. You'll work on real problems like customer hierarchy modeling, subscription lifecycle management, consumption based billing, tax integrations, payment integrations, billing event processing and you'll have meaningful ownership from day one. Our platform makes extensive use of Spring Boot and Spring Cloud and the stack is primarily written using Java. The technology stack is entirely owned by 8x8 which means engineers have exposure to many facets of architecture. Responsibilities<ul><li>The position may be remote, you must be comfortable working autonomously</li><li>Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences</li><li>Develop reusable software components for interfacing with other back-end platforms</li><li>Analyze and optimize code for quality, efficiency, and performance</li><li>Lead complex technical or product efforts and provide technical guidance to peers</li><li>Architect efficient and scalable systems that drive complex applications</li><li>Identify and resolve performance and scalability issues</li><li>Establish ownership of components, features, or systems with expert end-to-end understanding</li></ul> Key Qualifications:<ul><li>8+ years experience in designing and developing scalable enterprise level back-end solutions</li><li>BS/MS degree in Computer Science or another highly technical subject where programming was a key requirement</li><li>Professional experience in software development using modern programming languages like Java or Python.</li><li>Familiar with architecture, design, development, and deployment of large scale enterprise systems</li><li>Understand security concepts like OAuth and build reliable and safe applications</li><li>Knowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations</li><li>Experience working with relational databases including development, troubleshooting and performance optimization.</li><li>Understanding and hands-on experience with API-driven designs focusing in testable and scalable implementations</li><li>Experience with multiple technology stacks: Cloud Dev, Platforms, Web Dev, Frameworks or service-oriented architecture</li><li>Experience with containerization technologies such as: Docker, Kubernetes</li><li>Experience with event-driven architecture and messaging brokers like RabbitMQ or Kafka</li><li>Comfortable with AI-assisted code development tools and understanding of their role in accelerating modern software delivery.</li></ul> Anything Else?<ul><li>Excellent analytical and quantitative skills</li><li>Experience working in a global environment, across multiple time zones and geographies</li><li>Exposure to Salesforce or a similar large CRM system</li><li>Familiarity with API-first development, OpenAPI/Swagger specifications.</li><li>Experience with integrations and ability to get up to speed with multiple third-party products and their APIs and Environments</li><li>Strong foundations in software engineering, encompassing the entire software delivery lifecycle.</li></ul></body></html>

We're looking for a Senior Software Developer who is excited about building reliable, scalable billing and commerce systems. You'll join a tight-knit team of engineers and work directly with your engineering manager, senior developers, QA, and cross-functional partners across Salesforce, finance, and channel ops.
This is a full-stack backend-leaning role. You'll work on real problems like customer hierarchy modeling, subscription lifecycle management, consumption based billing, tax integrations, payment integrations, billing event processing and you'll have meaningful ownership from day one. Our platform makes extensive use of Spring Boot and Spring Cloud and the stack is primarily written using Java. The technology stack is entirely owned by 8x8 which means engineers have exposure to many facets of architecture.

Responsibilities

The position may be remote, you must be comfortable working autonomously
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Develop reusable software components for interfacing with other back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Establish ownership of components, features, or systems with expert end-to-end understanding

Key Qualifications:

8+ years experience in designing and developing scalable enterprise level back-end solutions
BS/MS degree in Computer Science or another highly technical subject where programming was a key requirement
Professional experience in software development using modern programming languages like Java or Python.
Familiar with architecture, design, development, and deployment of large scale enterprise systems
Understand security concepts like OAuth and build reliable and safe applications
Knowledge of data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations
Experience working with relational databases including development, troubleshooting and performance optimization.
Understanding and hands-on experience with API-driven designs focusing in testable and scalable implementations
Experience with multiple technology stacks: Cloud Dev, Platforms, Web Dev, Frameworks or service-oriented architecture
Experience with containerization technologies such as: Docker, Kubernetes
Experience with event-driven architecture and messaging brokers like RabbitMQ or Kafka
Comfortable with AI-assisted code development tools and understanding of their role in accelerating modern software delivery.

Anything Else?

Excellent analytical and quantitative skills
Experience working in a global environment, across multiple time zones and geographies
Exposure to Salesforce or a similar large CRM system
Familiarity with API-first development, OpenAPI/Swagger specifications.
Experience with integrations and ability to get up to speed with multiple third-party products and their APIs and Environments
Strong foundations in software engineering, encompassing the entire software delivery lifecycle.

Senior Software Developer

Hello, my name is Angel Nikolov and I am the founder of <a href="https://remotefrontendjobs.com">https://remotefrontendjobs.com</a> and <a href="https://remotebackendjobs.com">https://remotebackendjobs.com</a>.
 
 
 I recently noticed some of your advertisements on similar job boards like remotetechjobs and wondered if you’d be interested into featuring an ad on remote frontend and backend focused job boards.
 
 In fact, since both my sites are aggregating multiple different sources some of your advertisements are already listed and you can see some of them here - <a href="https://remotefrontendjobs.com/cl175bfxr9203t8bws2xbbfmt?ref=marketing">DataOps Engineer</a>.
 
 
 Featuring a job now will guarantee top visibility and engagement and will most definitely bring some people your way.
 
 I already have my first customer and for 20 days their advertisement was seen more than a thousand times and was engaged with about 200 times.
 
 
 In case that you want to feature some of your ads for a small early-bird fee, the only thing I will need from you is to let me know which ones and which job board you'd want them on or just send me the job details by email. 
 Let me know if like the idea,
 
 Angel Nikolov

Hi, it's Angel Nikolov again!
	 
	I just wanted to follow up on my last email and ask you if you had time to review the the idea for featuring a job on <a href="https://remotefrontendjobs.com?ref=marketing">https://remotefrontendjobs.com</a> or <a href="https://remotebackendjobs.com?ref=marketing">https://remotebackendjobs.com</a>.
	 
	 
	I would appreciate any kind of feedback!
	 
 Thanks again!
 
 Angel

Cloudbeds

<html><head></head><body>As a Staff Software Engineer in Revenue Intelligence, you will shape the technical direction of systems that help hospitality businesses understand demand, identify revenue opportunities, and make better pricing and commercial decisions. You will work across customer-facing applications, backend services, data pipelines, analytical stores, recommendation workflows, and cloud infrastructure. This is a hands-on leadership role: you will solve complex engineering problems directly while establishing architecture, improving reliability and security, reducing systemic technical debt, and aligning multiple teams around durable technical decisions. Your impact will extend beyond individual features to the quality, scalability, operability, and long-term evolution of the Revenue Intelligence platform.The Revenue Intelligence team builds products and platforms that turn hospitality data into practical decisions for hoteliers, including pricing recommendations, demand insights, reporting, automation, and commercial opportunities. Our systems span frontend experiences, APIs, distributed services, data processing, machine-learning workflows, and production infrastructure. We value pragmatic engineering, strong ownership, evidence-based decisions, and technical leaders who raise the effectiveness of the people and systems around them. What You'll Bring to the Team:<ul><li>Set and evolve the technical strategy for Revenue Intelligence, translating product and business goals into coherent architecture and executable engineering plans</li><li>Lead the design and delivery of complex capabilities across customer-facing web applications, backend APIs, event-driven services, data pipelines, analytical storage, and recommendation workflows</li><li>Identify and resolve systemic risks in scalability, reliability, security, data quality, observability, and operability before they become recurring customer or engineering problems</li><li>Drive modernization of legacy systems and infrastructure through incremental, well-reasoned migrations that preserve delivery momentum and production stability</li><li>Partner with Product, Data Science, Infrastructure, Security, and engineering leaders to define boundaries, contracts, ownership, and long-term platform direction</li><li>Remain hands-on in the codebase through implementation, technical spikes, design reviews, debugging, incident response, and the most consequential or ambiguous engineering work</li><li>Raise the technical effectiveness of the wider organization through mentoring, architecture guidance, engineering standards, documentation, and constructive challenge</li></ul> What Sets You Up for Success:<ul><li>10+ years of software engineering experience, including significant technical leadership across complex production systems</li><li>Deep hands-on expertise in Python, with the ability to work effectively across both ecosystems and guide engineering decisions beyond a single language</li><li>Strong architecture and distributed-systems fundamentals, including API design, event-driven workflows, consistency, failure handling, scalability, and service boundaries</li><li>Experience with data-intensive systems such as PostgreSQL, Redshift or similar analytical platforms, batch and streaming pipelines, and large-scale data processing</li><li>Experience designing or operating recommendation systems, machine-learning platforms, pricing systems, experimentation workflows, or other decision-support products</li><li>Strong cloud and platform engineering experience across AWS, containers, Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability, and secure production operations</li><li>A demonstrated ability to lead through influence, create alignment across teams, communicate complex tradeoffs clearly, and drive decisions from ambiguity to execution</li><li>A strong record of improving engineering quality through testing strategy, operational readiness, incident learning, security, documentation, and sustainable technical standards</li><li>Product judgment and customer empathy, with the ability to connect technical investments to measurable outcomes for hoteliers and the business</li><li>Business-level English fluency and experience collaborating effectively in a remote, globally distributed organization</li></ul> Bonus Skills to Stand Out:<ul><li>Deep hands-on expertise in .NET/C#</li></ul></body></html>

As a Staff Software Engineer in Revenue Intelligence, you will shape the technical direction of systems that help hospitality businesses understand demand, identify revenue opportunities, and make better pricing and commercial decisions. You will work across customer-facing applications, backend services, data pipelines, analytical stores, recommendation workflows, and cloud infrastructure. This is a hands-on leadership role: you will solve complex engineering problems directly while establishing architecture, improving reliability and security, reducing systemic technical debt, and aligning multiple teams around durable technical decisions. Your impact will extend beyond individual features to the quality, scalability, operability, and long-term evolution of the Revenue Intelligence platform.
The Revenue Intelligence team builds products and platforms that turn hospitality data into practical decisions for hoteliers, including pricing recommendations, demand insights, reporting, automation, and commercial opportunities. Our systems span frontend experiences, APIs, distributed services, data processing, machine-learning workflows, and production infrastructure. We value pragmatic engineering, strong ownership, evidence-based decisions, and technical leaders who raise the effectiveness of the people and systems around them.

What You'll Bring to the Team:

Set and evolve the technical strategy for Revenue Intelligence, translating product and business goals into coherent architecture and executable engineering plans
Lead the design and delivery of complex capabilities across customer-facing web applications, backend APIs, event-driven services, data pipelines, analytical storage, and recommendation workflows
Identify and resolve systemic risks in scalability, reliability, security, data quality, observability, and operability before they become recurring customer or engineering problems
Drive modernization of legacy systems and infrastructure through incremental, well-reasoned migrations that preserve delivery momentum and production stability
Partner with Product, Data Science, Infrastructure, Security, and engineering leaders to define boundaries, contracts, ownership, and long-term platform direction
Remain hands-on in the codebase through implementation, technical spikes, design reviews, debugging, incident response, and the most consequential or ambiguous engineering work
Raise the technical effectiveness of the wider organization through mentoring, architecture guidance, engineering standards, documentation, and constructive challenge

What Sets You Up for Success:

10+ years of software engineering experience, including significant technical leadership across complex production systems
Deep hands-on expertise in Python, with the ability to work effectively across both ecosystems and guide engineering decisions beyond a single language
Strong architecture and distributed-systems fundamentals, including API design, event-driven workflows, consistency, failure handling, scalability, and service boundaries
Experience with data-intensive systems such as PostgreSQL, Redshift or similar analytical platforms, batch and streaming pipelines, and large-scale data processing
Experience designing or operating recommendation systems, machine-learning platforms, pricing systems, experimentation workflows, or other decision-support products
Strong cloud and platform engineering experience across AWS, containers, Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability, and secure production operations
A demonstrated ability to lead through influence, create alignment across teams, communicate complex tradeoffs clearly, and drive decisions from ambiguity to execution
A strong record of improving engineering quality through testing strategy, operational readiness, incident learning, security, documentation, and sustainable technical standards
Product judgment and customer empathy, with the ability to connect technical investments to measurable outcomes for hoteliers and the business
Business-level English fluency and experience collaborating effectively in a remote, globally distributed organization

Bonus Skills to Stand Out:

Deep hands-on expertise in .NET/C#

Staff Software Engineer

Arena Entertainment

<html><head></head><body>We're building a brand new, fully bespoke blockchain from the ground up. Not a fork. Not a clone. Every component consensus, execution, networking, tooling is being designed and written in-house. This is greenfield infrastructure engineering at its most ambitious.We need an AI-native, product-minded Full Stack Blockchain Engineer to join the core team. You'll be building and shipping blockchain-powered products end-to-end: from the protocol layer and smart contracts through to backend infra and frontend UX. Our work spans gaming, DeFi and other emerging Web3 categories.This is a hands-on role for someone who lives and breathes Web3, ships fast, and embraces AI-powered development to stay ahead. We're especially excited about builders who already have real on-chain projects under their belt and a hunger to grow fast. Responsibilities<ul><li>Build dApps end-to-end: design and deploy secure, gas-efficient smart contracts; wire up backend infrastructure; deliver clean frontends that hide blockchain complexity</li><li>Contribute to core chain development: write protocol-level code in Rust, C++ and Python across consensus, execution and networking layers</li><li>Ship products, not just code: collaborate on design, UX and incentive mechanics, contributing to product decisions as much as technical implementation</li><li>Leverage AI daily: use the latest tools to accelerate development and broaden problem-solving approaches</li><li>Build and maintain indexing infrastructure, APIs and real-time data pipelines</li><li>Experiment and innovate: stay curious with new standards, chains and techniques, from cross-chain deployments to tokenomics design</li><li>Represent the team at hackathons and conferences and share your work with the ecosystem</li></ul> Requirements<ul><li>1-4 years of blockchain/Web3 development with at least one meaningful on-chain deployment (professional, side project or hackathon)</li><li>Solid foundation in Solidity and TypeScript, with the ability to deliver complete products, not just isolated code</li><li>Comfort working at the systems level: Rust and C++ experience is a strong advantage given our bespoke chain focus</li><li>AI-native: daily use of modern coding assistants (Claude, Cursor, Copilot, Windsurf, etc.)</li><li>Product sense: proven ability to think about usability and user experience, not just code correctness</li><li>Previous experience at a blue-chip protocol or well-known project highly valued</li><li>Hackathon experience or open source contributions a strong plus</li><li>Strong English communication skills for async collaboration</li></ul>Remote. Async-first culture with overlapping working hours where possible.</body></html>

We're building a brand new, fully bespoke blockchain from the ground up. Not a fork. Not a clone. Every component consensus, execution, networking, tooling is being designed and written in-house. This is greenfield infrastructure engineering at its most ambitious.
We need an AI-native, product-minded Full Stack Blockchain Engineer to join the core team. You'll be building and shipping blockchain-powered products end-to-end: from the protocol layer and smart contracts through to backend infra and frontend UX. Our work spans gaming, DeFi and other emerging Web3 categories.
This is a hands-on role for someone who lives and breathes Web3, ships fast, and embraces AI-powered development to stay ahead. We're especially excited about builders who already have real on-chain projects under their belt and a hunger to grow fast.

Responsibilities

Build dApps end-to-end: design and deploy secure, gas-efficient smart contracts; wire up backend infrastructure; deliver clean frontends that hide blockchain complexity
Contribute to core chain development: write protocol-level code in Rust, C++ and Python across consensus, execution and networking layers
Ship products, not just code: collaborate on design, UX and incentive mechanics, contributing to product decisions as much as technical implementation
Leverage AI daily: use the latest tools to accelerate development and broaden problem-solving approaches
Build and maintain indexing infrastructure, APIs and real-time data pipelines
Experiment and innovate: stay curious with new standards, chains and techniques, from cross-chain deployments to tokenomics design
Represent the team at hackathons and conferences and share your work with the ecosystem

Requirements

1-4 years of blockchain/Web3 development with at least one meaningful on-chain deployment (professional, side project or hackathon)
Solid foundation in Solidity and TypeScript, with the ability to deliver complete products, not just isolated code
Comfort working at the systems level: Rust and C++ experience is a strong advantage given our bespoke chain focus
AI-native: daily use of modern coding assistants (Claude, Cursor, Copilot, Windsurf, etc.)
Product sense: proven ability to think about usability and user experience, not just code correctness
Previous experience at a blue-chip protocol or well-known project highly valued
Hackathon experience or open source contributions a strong plus
Strong English communication skills for async collaboration

Remote. Async-first culture with overlapping working hours where possible.

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