Senior Agentic Software Engineer (Java)
Solovis is a leading portfolio management and analytics platform helping institutional investors navigate today's complex global markets with clarity and confidence. Backed by Insight Partners, we're building the next chapter of growth by investing in people and product to raise the bar on quality and client outcomes. Our team is driven by a culture of disciplined execution, humility, and curiosity where AI is at the core of how we operate, innovate, and serve clients. At Solovis, you'll join a tech-forward, growth-minded team that believes in learning fast, thinking big, and delivering meaningful impact for asset owners worldwide.
This is a production-focused engineering role for a senior Java developer who works agentically by default. You will deliver AI-augmented features, modernizations, and new capabilities across our Java/Python/AWS stack. You will also pair with existing engineers to transfer agentic working habits — not by lecturing, but by working together on real problems.
Key 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.
Key Qualifications
- 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.
Strong Plus
- 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.
Interview Process
We want this to be a great fit for both sides. After applying, you'll complete a short set of aptitude and personality assessments before connecting with a recruiter. Everyone goes through them, from interns to our CEO. The invitation will come from a member of our recruiting team — keep an eye on your inbox, and check your spam folder just in case.
