Note: The job is a remote job and is open to candidates in USA. Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets with clarity and confidence. This is a production-focused engineering role for a senior Java developer who works agentically by default, delivering AI-augmented features and modernizations across the Java/Python/AWS stack while collaborating with existing engineers.
Responsibilities
- Deliver production features and modernization work across our Java/Python/AWS stack using AI-augmented development as your primary mode of authorship
- Pair with existing engineers to build agentic practice organically through working sessions on real deliverables, not classroom instruction
- Participate in AI-augmented PR reviews while contributing to pattern libraries and review checklists
- Own production systems end-to-end: ship real things, stay accountable when they break, and close the loop
- Bring concrete judgment about when to let an agent run and when to intervene — and share that judgment with the team
Skills
- 5–9 years of professional software engineering experience
- Strong fluency in Java, with solid working knowledge of Python on AWS. This is a Java-specialized seat
- 6+ months of serious agentic tool use (Claude Code, Cursor, or equivalent) on production work, not pilots or side projects
- Production ownership history: you have shipped non-trivial systems and been on the hook when they broke
- At least one out-of-depth experience: a stack switch, domain change, or greenfield build in unfamiliar territory. You know what it feels like to be uncomfortable and productive at the same time
- The ability to catch non-obvious agent errors and concrete heuristics for when to trust output and when to verify
- Experience with financial services, institutional investment platforms, or other high-correctness, regulated software domains
- Familiarity with brownfield modernization: improving existing systems with agents rather than rewriting them
- Background integrating or reviewing work you did not personally author
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