We are looking for a Senior Backend Engineer for Research.
Our ideal candidate is someone with a systematic problem-solving approach, coupled with strong communication skills, a sense of ownership and drive.
Someone who is as passionate as we are about the craft of software engineering and system architecture, and understands the challenges of building complex backend systems.
Someone who believes in writing resilient code and reliable infrastructure, but can still appreciate the realities of business and can deliver on a tight schedule in a fast-paced environment.
An individual who loves learning, understands the value of teamwork and cherishes the feedback of other talented engineers.
Responsibilities:
Take a key role in designing and building our ML platform, working closely with our devops engineers and researchers.
Design and develop reliable and scalable production core services that are used by millions of users of our apps every day.
Improve our platforms reliability through mechanisms like testing, automations and monitoring.
Learn and apply industry best practices and share this knowledge with other teams through guidance, lectures and workshops.
Develop modules and tools to ease the development and deployment processes for our platform users.
Write clean, maintainable and testable code, and inspire others to do the same.
Conduct code reviews.
Practice sustainable incident response and blameless postmortems.
Requirements: 6+ years of experience developing production backend systems in Python (preferred) or some other object-oriented language (Golang, Java, C++, C#, etc.).
Hands on experience in building, deploying and maintaining scalable backend systems in a cloud environment.
Excellent communication and collaboration skills.
Highly independent, accountable and a team player, with an ability to own tasks from planning to release.
Good understanding of critical production systems concepts - high availability, reliability and scalability.
Experience in system and API design.
B.Sc. in computer science or similar quantitative field.
Experience with Docker and Kubernetes is a plus.
Experience working with ML and large compute systems is a plus.
Experience with CI/CD tools like Github Actions and Argo CD, and/or monitoring tools like Prometheus and Grafana is a plus.
This position is open to all candidates.