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# Senior Agentic Software Engineer (Java)

- **Company:** Solovis, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cursor (Graphical User Interface Elements), Python (Programming Language), Software Engineering
- **Published:** June 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f1cf64037dbd6cea

## About the Role

Do you have experience in Software engineering?, * 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.

## Description

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., * 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.


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