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Senior Backend Engineer (Remote)

NetSource, Inc.

Backend JAVA Engineer (REMOTE)(No C2C/H1B)

Udacity

<html><head></head><body><div class="grey-800"><p class="f8 lh-relaxed mb6-ns mt0">Udacity is hiring a remote Back-end Engineer II. This is a full-time position that can be done remotely anywhere in the United States.</p><p class="f8 lh-relaxed mv0">Udacity - Advance your career with online courses.</p></div><h3 class="f8 fw5 grey-800 lh-title mb5 mt0 tracked-wider ttu">About Udacity</h3><h3 class="f8 fw5 grey-800 lh-title mv0 tracked-wider ttu">People also viewed</h3></body></html>


Udacity is hiring a remote Back-end Engineer II. This is a full-time position that can be done remotely anywhere in the United States.
Udacity - Advance your career with online courses.

About Udacity
People also viewed

Back-end Engineer II

Aorton Inc

Senior Java Full Stack Developer (80% Backend, AWS Migration Focus) :: Remote :: W2 Position

Pinnacle Software Solutions

Backend Developer (Remote)

Pegasus Knowledge Solutions

Python Backend Developer- Remote- Contract role

Backend Python Engineer (REMOTE)(No C2C/H1B)

Weave

<html><head></head><body><p>Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways.</p>
<p>You will be joining a team of talented developers that share a common interest in distributed backend systems, data, scalability, and continued development. You will get a chance to apply these, and other skills, to new and ongoing projects to make machine learning more approachable, data more available, and easier to discover and use by helping design how teams build out AI powered features at Weave. </p>
<p>The MLOps Team's mission is to enable product innovation by making it painless for developers to build ai powered applications that require access to large sets of data. Machine learning is challenging but we are striving to democratize access to the tools and technology that powers it so teams can build cutting edge features safely and responsibly without a PhD in Data Science. We handle data for hundreds of millions of people daily.</p>
<p>Our teams are cross-functional, agile teams composed of a product owner, backend and frontend devs and devops. Teams are highly autonomous with the ownership and ability to act in Weave’s best interest. </p>
<p>Above all, your work will impact the way our customers experience Weave while working closely with a highly skilled team to accomplish varying goals and cultivate our phenomenal culture.</p>
<ul>
<li><em>This position will be available for fully remote in the US with an opportunity to work in an office, if located near the Lehi, UT Headquarters.</em></li>
<li><em>Reports to: Engineering Director</em></li>
</ul>
<h3>What You Will Own</h3>
<ul>
<li>Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.</li>
<li>Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.</li>
<li>Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.</li>
<li>Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning. Guide them through creating excellent customer experiences end to end.</li>
<li>Build scalable, resilient services to support data integration, event processing, and platform extensions.</li>
<li>Contribute to the continued evolution of product functionality that services large amounts of data and traffic.</li>
<li>Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce.</li>
<li>Coach and collaborate inside and outside the team. You enjoy working closely with others - helping them grow by sharing expertise and encouraging best practices.</li>
<li>Work in a cloud environment, considering the implementation of functionality through several distributed components and services.</li>
<li>Work with our stakeholders to translate product goals into actionable engineering plans.</li>
</ul>
<h3>What You Will Need to Accomplish the Job</h3>
<ul>
<li>High integrity, team-focused approach, and collaboration skills to build tight-knit relationships across Weave with various roles and stakeholders.</li>
<li>Responsive person with a strong bias for action.</li>
<li>5+ years of experience in any structured back-end language, i.e. Go, Java or Python (Go and Python experience is a plus).</li>
<li>Experience moving and storing TBs of data or 100M’s to 10B’s of records.</li>
<li>Demonstrated experience with common MLOps technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc), DVC, Triton Server, LLMs, Postgres, and others.</li>
<li>Experience with data labelling or annotation for audio or NLP use cases.</li>
<li>Understanding of distributed systems and building scalable, redundant, and observable services.</li>
<li>Expertise in designing and architecting systems for distributed data sets and services</li>
<li>Experience building solutions to run on one or more of the public clouds (e.g., AWS, GCP, etc.).</li>
<li>Experience providing stable well designed libraries and SDKs for internal use.</li>
<li>Self driven and a thirst for learning in a quickly changing industry.</li>
<li>Demonstrated track record of delivering complex projects on time and have experience working in enterprise-grade production environments.</li>
<li>Strategic thinker with a strong technical aptitude and a passion for execution.</li>
</ul>
<h3>What Will Make Us Love You</h3>
<ul>
<li>A background with data analysis, visualization, and presentation.</li>
<li>3+ years of experience in data science, machine learning, or predictive analytics.</li>
<li>Experience with NLP, embeddings, or inference in production, at scale.</li>
<li>Proficient understanding of containers, orchestrators, and usage patterns at scale including networking, storage, service meshes, and multi-cluster communication.</li>
<li>Experience with Kubernetes or GKE and the Operator Pattern (GCP), specifically, a plus.</li>
<li>Experience with highly sensitive data such as PHI (HIPAA) and PII data.</li>
<li>Experience with automation and container based workflow engines.</li>
<li>Experience with GitOps, IaC, and configuration driven systems.</li>
<li>A preference for open source solutions.</li>
<li>A track record of clean abstractions and simple to use APIs.</li>
<li>Deep understanding of distributed data technologies such as streaming, data mesh, data lakes, warehouses, or distributed machine learning.</li>
<li>A desire to advance the state of the art with new and innovative technologies.</li>
<li>Enjoys working in a greenfield environment using rapid prototyping.</li>
<li>Enjoys working with open-ended, evolving problems, and domains.</li>
</ul>
<p>Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know.</p>
<p><em>All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.</em></p><br><br><br><strong>Summary</strong><br>Company name: Weave<br>Remote job title: Senior Machine Learning Ops Engineer<br>Job tags: Python, Distributed Systems, Data Engineering, Cloud, MLOps</body></html>

Weave is looking for engineers hungry for fun challenges who can join our self-empowered teams and contribute in both technical and non-technical ways.
You will be joining a team of talented developers that share a common interest in distributed back...

Senior Machine Learning Ops Engineer

Cyber Sphere LLC

Lead Python Backend Engineer - Danburry,CT - Remote with client visits - Fulltime

Abnormal Security

<html><head></head><body><p>We’re looking to add a Staff Backend Software Engineer to our team of world class engineers.The individual in this role will shape and elevate our engineering teams within the Behavioral Security Products division. This role straddles the line of velocity and excellence.</p><p><span>
<b>What You’ll Do</b></span></p><p>As a Staff Backend Software Engineer in Behavioral Event Security Products, you will:</p><ul><li>Be a leader and mentor for a team of strong engineers distributed across the United Kingdom that collaborates closely with teams across the globe</li><li>Help define APIs, abstractions and roadmaps that guarantee both short term availability and uptime of services while expanding future functionality</li><li>Own and develop data-rich, consumer-grade APIs that provide a singular platform for visibility, config management, and active detection</li><li>Build and maintain high-throughput, low-latency systems that process over 100s of millions of events per day to enable detection of compromised cloud accounts</li><li>Define and support the SLAs for these APIs, enabling the building of Abnormal’s world class real time detection systems on top of them. Obsessively partner with our customers to gather their feedback and quickly iterate to improve our systems</li><li>Create a magical work environment with colleagues and memorable interview process for candidates</li><li>This is a leadership role on the team and you will be expected to contribute both code and guidance to the team: you will be accountable for delivering great solutions and simultaneously making the team around you better. You are someone who wants to make an impact. You are passionate about solving customer problems and have built up a base of skills in backend and distributed systems development to do so. You want to apply those skills on a problem that leaves the world in a better place. We are a scrappy team: we are building a new product from scratch - this means you should be comfortable with a level of uncertainty beyond what you’d find at a more mature company or even a more mature team at Abnormal. Not every project will come with a well defined PRD - that’s expected and we expect this engineer to go dig in and figure out what to do. This also means occasionally we’ll ask you to do things that may not strictly fit the role of a “backend engineer” - it might mean jumping on a customer call, or digging in to help fix a frontend bug. We are also not only a remote team, but a very distributed team, as such you will need to have excellent communication skills across both verbal and written mediums. You will need to be just as comfortable on a zoom call as writing a 1 pager project proposal to be shared across the team for technical feedback.</li></ul><span>
</span><b>Must Have Skills</b><br><ul><li>8+ years of backend development experience with specific expertise in distributed systems, large scale data pipelines and data processing techniques</li><li>5+ years of production support experience for enterprise-class customers</li><li>5+ years of experience in Golang/Python based backend systems development</li><li>At least 4 years of system design experience</li><li>Proven experience owning testing as well as development of all software solutions</li><li>Proven experience working with agile development methodologies (both scrum and kanban)</li><li>Proven experience working effectively with cross-functional teams across multiple time zones with with remote stakeholders</li></ul><span>
</span><b>Nice to Have Skills</b><br><ul><li>Experience with AWS and/or Azure, Postgres, Kafka, Redis, Lucene/ElasticSearch or similar</li><li>Experience with API platform development</li><li>Experience with Go</li></ul></body></html>

We’re looking to add a Staff Backend Software Engineer to our team of world class engineers.The individual in this role will shape and elevate our engineering teams within the Behavioral Security Products division. This role straddles the line of velocity and excellence.

What You’ll Do
As a Staff Backend Software Engineer in Behavioral Event Security Products, you will:

Be a leader and mentor for a team of strong engineers distributed across the United Kingdom that collaborates closely with teams across the globe
Help define APIs, abstractions and roadmaps that guarantee both short term availability and uptime of services while expanding future functionality
Own and develop data-rich, consumer-grade APIs that provide a singular platform for visibility, config management, and active detection
Build and maintain high-throughput, low-latency systems that process over 100s of millions of events per day to enable detection of compromised cloud accounts
Define and support the SLAs for these APIs, enabling the building of Abnormal’s world class real time detection systems on top of them. Obsessively partner with our customers to gather their feedback and quickly iterate to improve our systems
Create a magical work environment with colleagues and memorable interview process for candidates
This is a leadership role on the team and you will be expected to contribute both code and guidance to the team: you will be accountable for delivering great solutions and simultaneously making the team around you better. You are someone who wants to make an impact. You are passionate about solving customer problems and have built up a base of skills in backend and distributed systems development to do so. You want to apply those skills on a problem that leaves the world in a better place. We are a scrappy team: we are building a new product from scratch - this means you should be comfortable with a level of uncertainty beyond what you’d find at a more mature company or even a more mature team at Abnormal. Not every project will come with a well defined PRD - that’s expected and we expect this engineer to go dig in and figure out what to do. This also means occasionally we’ll ask you to do things that may not strictly fit the role of a “backend engineer” - it might mean jumping on a customer call, or digging in to help fix a frontend bug. We are also not only a remote team, but a very distributed team, as such you will need to have excellent communication skills across both verbal and written mediums. You will need to be just as comfortable on a zoom call as writing a 1 pager project proposal to be shared across the team for technical feedback.

Must Have Skills

8+ years of backend development experience with specific expertise in distributed systems, large scale data pipelines and data processing techniques
5+ years of production support experience for enterprise-class customers
5+ years of experience in Golang/Python based backend systems development
At least 4 years of system design experience
Proven experience owning testing as well as development of all software solutions
Proven experience working with agile development methodologies (both scrum and kanban)
Proven experience working effectively with cross-functional teams across multiple time zones with with remote stakeholders

Nice to Have Skills

Experience with AWS and/or Azure, Postgres, Kafka, Redis, Lucene/ElasticSearch or similar
Experience with API platform development
Experience with Go

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