About the job
Job description:

Job Summary
We are hiring for our client product-minded software engineers to take initiatives from ambiguous problem to running production system. You'll partner with stakeholders to shape what gets built, prototype rapidly to validate direction, and harden the result into systems we operate with confidence. This is a generalist role for engineers who like build and can orchestrate AI agents across the SDLC.

Our client operates in a regulated capital-markets environment, so the bar for quality, security, and operational rigour is high.
Job Responsibilities

Own initiatives end-to-end: clarify and extend requirements with stakeholders, propose what to build, and see it through release and operation
Move from idea to working prototype in days, then evolve prototypes into production systems that handle edge cases, scale, and adversarial conditions
Apply AI agentically across the full SDLC, and contribute back to our internal agentic ecosystem: the workflows and tools the rest of the team relies on
Define release readiness: test strategy, rollout plans, observability, runbooks, and treat security, maintainability, and documentation as first-class concerns
Design and integrate distributed systems where they matter: messaging (e.g. Kafka), orchestration (e.g. Kubernetes), performance-sensitive protocols (e.g. Aeron, gRPC, Protobuf), etc

Job Requirements

5+ years of professional software engineering, with a clear track record of taking work from idea to production and owning it there
AI-native ways of working: real experience orchestrating coding agents and composing agentic workflows across specification, build, test, deploy, and operation
Fluency in at least two modern languages (e.g. Java, Kotlin, TypeScript, Python, Rust) and willingness to learn whatever a problem demands
Solid foundations in distributed systems, APIs, and messaging, with judgement about when sophistication is warranted
Production mindset across testing, observability, security, and CI/CD
Product instinct: comfortable shaping scope rather than waiting for a complete spec
Comfort in complex, regulated environments

Familiarity with the FIX protocol or capital-markets domain
Experience building internal developer tools, agent frameworks, or platform tooling
Front-end experience to support end-to-end prototyping

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Senior Software Engineer