| Location | Westlake, TX, TX |
We are looking for a Senior Software Engineer who owns their work end-to-end: from understanding requirements to delivering production-ready software that the team can stand behind. You are expected to work independently within an established technical direction, contribute to how that direction evolves, and begin raising the capabilities of the engineers around you.
The Platform Engineering team is building an 8-service Kafka-native financial communications platform targeting Q1 2027 delivery. The team is small, technically ambitious, and AI-native: we apply spec-driven development as a standard practice and use AI-assisted tooling throughout the delivery lifecycle. You will work alongside expert engineers and an Engineering Director in a greenfield build with direct regulatory and business impact.
8+ years of professional software engineering experience delivering production systems.
Proven ability to own services end-to-end, from design through deployment and operation.
Design and implement backend microservices and APIs within established architectural patterns, contributing to those patterns as your experience grows.
Take ownership of services: write the code, own the tests, ship to production, and stand behind what you deploy.
Contribute to team engineering practices: participate in code reviews, improve test coverage, and flag gaps in pipeline and operational readiness.
Mentor junior and associate engineers through code reviews, pair work, and direct feedback.
Apply spec-driven development and AI-assisted tooling as a standard part of how you work.
Hands-on experience with Java and Spring Boot for backend microservice development, including RESTful API design and contract-first OpenAPI development.
Cloud deployment experience with AWS EKS: packaging, deploying, and operating containerized services.
Event-driven architecture experience with Kafka or similar messaging platforms.
Delivery pipeline proficiency: source control, CI/CD, containerization, and automated testing.
Observability: writing structured logs, understanding distributed traces, and using dashboards to diagnose production issues.
Database experience: writing and tuning queries, understanding indexing, and choosing the right storage pattern for the problem.
Experience in financial services or a regulated, high-reliability industry.
Familiarity with enterprise Java frameworks (Spring Boot 4, EJF) and enterprise platform standards.
Experience with AI-assisted development tooling (GitHub Copilot, Claude Code, or similar) applied as a standard workflow tool.
Owns outcomes, not just tasks. Tracks what they ship, wants to know if it works, and acts when it does not.
Strong communication: writes clear tickets, leaves useful comments in code reviews, and flags blockers early.
Works well with ambiguity at the feature level. Can take a requirement that is not fully defined and figure out what to ask to get it there.
Builds others up through direct, constructive technical feedback.
Intellectually curious about new tools and approaches, including AI-assisted development methods.
Production software that meets the team's quality standards: tested, observable, and documented.
Accelerated delivery by taking services off the plate of senior engineers, end-to-end.
A higher-quality codebase over time through attentive code review and sustainable engineering practices.
Junior and associate engineers who grow faster because of working with you.