Senior Software Engineer AI-Native, backend Foundry
Remote, USA; Remote, Canada. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above.
#LI-RemoteFull-TimeSenior
Salary129,000 - 192,000 USD per year
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Job Details
- Experience
- 6+ years of backend software engineering experience
- Required Skills
- AWSJavaSpring BootApache KafkaDistributed Systems
Requirements
- 6+ years of backend software engineering experience
- Strong proficiency with Java and Spring Boot (this is our primary stack)
- Experience with Apache Kafka or similar distributed streaming platforms
- Solid understanding of distributed systems concepts: consistency, fault tolerance, replication, and data durability
- Comfortable with cloud infrastructure (AWS preferred) and containerized deployments
- Heavy user of agentic workflows, understands research-plan-implement cycle but doesn’t outsource thinking to agents
- Growth mindset - You structure problems precisely, you learn quickly, you can show interest outside “your lane”, and you are always happy to try something new
- Collaborative approach - You communicate clearly, work well across teams, and value diverse perspectives
- Ownership mentality - You take responsibility for your work from design through production and beyond
- AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time
- Thoughtful communication - You can explain technical tradeoffs and articulate ideas effectively
Responsibilities
- Design and build high-quality features integrating third party data and systems.
- Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
- Help define and codify AI-Native engineering practices for the Foundry team, establishing playbooks the broader org can adopt.
- Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users.
- Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions.
- Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement.
- Participate in on-call rotation and incident response.
- Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
- Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
- Support performance, reliability, and accessibility across the features you own.
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