Senior Analytics Backend Engineer, Platform Engineering
Capella is at the forefront of making vital information about our world accessible in a timely manner. We’re leveraging proven technologies and building new capabilities to create a constellation of SAR satellites that can collect information about any spot on the planet within an hour. At Capella you’ll work in a collaborative team environment, alongside smart people with a history of space mission success. No prior space experience is needed—we’re looking for people excited about tackling seemingly impossible challenges, learning new skills and concepts, and helping each other achieve success. Our mission and our products are meant to understand the whole world and help everyone in it, regardless of race, creed, or any other distinction. We believe in a diverse and inclusive workplace, and we encourage all people to join our team and bring their unique perspective to help make us stronger. We value diversity at Capella and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position, but are not sure if you are the perfect fit, please apply!
About the Role
Capella is looking for a Senior Analytics Backend Engineer to join the Data Science team, responsible for building and operating infrastructure, pipelines, and applications that enable Data Science workflows and processes.
In this role you will be working on interesting Data Science Analytics problems and building innovative product features using the latest tools & technologies. In this role, you will be designing, implementing, and scaling Statistics-based & ML-based systems infrastructure for several external customers. The role would involve creating package tests, building containers and deploying artifacts in CI/CD pipelines. You will also be responsible for creating the interfaces, infrastructure, and clusters to process data efficiently.
As a Senior Backend Engineer on the team you will also help with establishing engineering best practices & lead the architecture discussions for new products and the existing platform. This is a high visibility key role and will report to the Data Science Lead.
3+ years of experience in Backend or Fullstack Development roles, including cloud native applications.
3+ years of experience with MLOps.
Experience with system architecture & high volume, scalable, cloud-based applications/APIs.
Experience with cloud architecture (AWS preferred), Serverless functions, DevOps practices, Kubernetes.
Professional experience with Python, Xarray, Dask.
Professional experience with ML frameworks like PyTorch, Tensorflow, ONNX.
Excellent and proactive communication.
Self-motivated and able to work with limited supervision.
Experience with GIS Systems and/or geospatial data products and standards.
Experience with project management tools like JIRA & Confluence.
Experience with Node.js, RDBMS/SQL, NoSQL (MongoDB and DynamoDB).
Comfortable working in an Agile development environment.
Bachelor’s degree or higher in Computer Science, Engineering, or an equivalent. combination of technical education and work experience.