Senior Backend Engineer
New
R
RemoteHR Platform
Anywhere in the WorldFull-TimeSenior
Salary53,300 - 119,850 USD per year
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Job Details
- Required Skills
- AWSDockerPostgreSQLErlangJenkinsKubernetesVue.JsHaskellAngularNext.jsReactScalaGitHubGitLab
Requirements
- Strong engineering fundamentals
- Track record of shipping secure, reliable, and scalable production systems
- Practical experience designing or adopting agentic/automation workflows
- Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality
- Experience with Postgres or similar databases
- Experience with CI/CD (GitLab, GitHub, Jenkins or similar)
- Experience with Functional Programming languages such as Elixir, Erlang, Scala, Clojure, Haskell, etc. (nice to have)
- Experience with Kubernetes (nice to have)
- Experience with Docker (nice to have)
- Experience with AWS (nice to have)
- Experience with Next.js (nice to have)
- Experience with React/Vue/Angular (nice to have)
Responsibilities
- Lead the development of major team-scoped projects for Remote's HR and Payroll products.
- Participate in cross-team initiatives.
- Actively participate in product work in the team: provide feedback, suggest solutions to the problems.
- Use technical insights and expertise to suggest product improvements.
- Maintain good understanding of the team’s domain, both from product and engineering sides.
- Provide feedback on code reviews.
- Contribute to the shared codebase.
- Debug and solve technical and business issues.
- Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
- Mentor and provide guidance to other engineers.
- Investigate, propose and participate in implementation of improvements to our platform.
- Implement interfaces with performance, accessibility, and API design in mind.
- Redesign how engineering work ships with autonomous agents as the default execution layer.
- Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
- Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
- Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.
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