Senior Software Engineer

This is a role for an engineer who's hungry — someone who's built enough to know what they don't yet know, and is ready to close that gap fast.

At Evident, you'll work alongside some of the sharpest engineers in the risk management space, on problems that actually matter, with the latest technology. You'll ship real product, develop instincts that take most engineers a decade to build, and do it inside a team that treats AI-native development not as a buzzword, but as a genuine competitive edge.

If you're earlier in your career and looking for an environment that will push you further than any other role you're considering — this is that place.

The role will be based in our office in Atlanta (hybrid work model with two days in the office and three days remote).

What You'll Work On

• AI-native development — for real
• Use AI coding assistants, LLM-powered workflows, and automation as a core part of how you work every day — and keep sharpening that edge as the tools evolve.
• Apply AI across the full development cycle: writing and refactoring code, generating tests, drafting specs, accelerating debugging. The goal is always to do better work, faster.
• This is one of the most exciting skillsets you can build right now, and you'll have both the mandate and the support to develop it deeply.
 
• Shipping product that matters
• Design, build, and deploy features across our Java and Python stack — end-to-end ownership from implementation through deployment and observability.
• Work in a codebase where your contributions are visible and your impact is measurable.
• Solve problems at the intersection of identity, trust, and compliance — a domain where the technical and real-world stakes are both high.
 
• Growing through the work
• Write well-tested, production-grade code and learn what "quality at scale" actually looks like in practice.
• Participate in design discussions, code reviews, and architecture conversations — not as a passive observer, but as someone whose perspective is wanted.
• Pair with senior engineers who are invested in your growth and will push you to level up.

What We're Looking For

Must-Have

3+ years of professional software engineering experience with real production exposure.

Solid foundation in Java and/or Python — you understand the language well enough to be honest about where your gaps are.

Curiosity about and some hands-on experience with AI development tools (Copilot, Cursor, Claude, or similar) — even if you're still building the habit, you're genuinely interested in going deeper.

A growth mindset: you take feedback well, ask good questions, and don't need everything figured out before you start.

Strong written and verbal English communication — the team is distributed and async clarity matters.

Nice to Have

Exposure to LLM-based features in production (prompt design, retrieval, evaluation, fallbacks).

Familiarity with cloud-native infrastructure (AWS, GCP, or Azure), microservices, or API design.

Experience in startup or fast-moving product environments.

Interest in identity, privacy, or compliance domains.

Experience with Scala

What You'll Get Out of This

• Accelerated growth. You'll be surrounded by engineers who've already navigated the hard problems you're working toward — and they're the kind of people who share what they know.
• Real ownership. No ticket factories. You'll have genuine influence over what gets built and how.
• A skill set that's genuinely rare. Deep AI-native development experience, in a production environment, is one of the most valuable things you can develop right now. We'll help you build it.
• A problem worth caring about. Identity verification sits at the center of trust on the internet — the work has weight.
• Competitive compensation, benefits, and a hybrid work setup based out of Atlanta, GA.