Senior Software Engineer - Stateful Systems & AI Tools

Humana; Washington (District of Columbia); Hybrid; USD 107,000 - 147,000; Full time

Job summary

Humana seeks a Senior Software Engineer to design, implement, and operate stateful services that underpin real-time decisioning and personalization platforms. You will architect state machines, transactional stores, and exactly-once processing while leveraging AI-assisted tooling to improve correctness and velocity.

The role emphasizes reliability, observability, and collaboration with platform, data, and QA teams to deliver scalable, auditable systems in a hybrid work setup across US locations.

Qualifications

• Bachelor's degree in computer science or related field.
• 6+ years of backend or platform engineering experience.
• Hands-on expertise with state machines and lifecycle management.
• Experience with exactly-once processing and distributed failures.
• Proficiency in Java, Kotlin, Go, or Python.
• Experience with AI-assisted development tools.

Responsibilities

• Design and maintain explicit state machines governing lifecycles.
• Architect transactional state stores as single source of truth.
• Implement idempotency controls for safe retries and at-most-once execution.
• Apply outbox pattern to ensure atomic state updates and events.
• Ensure observability with logging, metrics, tracing.
• Collaborate with platform, data, and QA teams and mentor others.

Skills

State machine modeling

Transactional state stores

Idempotent APIs

Exactly-once processing

Distributed systems

Backend languages

Education

Bachelor's degree in computer science or related field

Tools

AI-assisted tooling

Job description

Humana seeks a Senior Software Engineer to design, implement, and operate stateful services that underpin real-time decisioning and personalization platforms. You will architect state machines, transactional stores, and exactly-once processing while leveraging AI-assisted tooling to improve correctness and velocity.

The role emphasizes reliability, observability, and collaboration with platform, data, and QA teams to deliver scalable, auditable systems in a hybrid work setup across US locations.