Senior Software Engineer – Action

Become a part of our caring community and help us put health first

We are seeking an accomplished Senior Software Engineer to design, implement, and operate mission-critical stateful services that form the backbone of real-time, automated decisioning and personalization platforms. These systems are responsible for maintaining authoritative state, orchestrating lifecycle transitions, and ensuring reliable downstream effects—often in high-concurrency, low-latency environments.

This position is ideal for engineers with a strong grasp of state machines, idempotency, distributed systems, and “exactly-once” execution semantics. You will also employ advanced AI-assisted and agentic engineering tools to drive correctness, velocity, resilience, and scalability.

• Design, build, and maintain explicit state machines governing:
• Lifecycle transitions (e.g., open → in progress → completed → suppressed)
• Validation of permissible transitions
• Time‑based and event‑driven changes
• Ensure state machines are:
• Clearly modeled and not hidden in code logic
• Deterministic, reproducible, and auditable
• Easily understood and testable
• Robust against illegal or duplicate transitions through comprehensive validation

• Architect and manage transactional state stores serving as the single source of truth
• Support safe, high‑concurrency read/write operations
• Uphold system in variants across partial failures and recovery scenarios
• Implement robust idempotency controls so:
• Requests can be safely retried
• Commands execute at most once
• Duplicate events do not compromise state integrity
• Develop APIs and workflows resilient to retries, restarts, and replay events

• Employ the outbox pattern to guarantee atomicity of state updates and event publication
• Prevent loss or duplication of side effects
• Maintain clear separation between state mutation and downstream event delivery
• Facilitate replay, backfill, and recovery operations without breaching state guarantees
• Integrate seamlessly with messaging and streaming platforms, ensuring fault tolerance

• Design for correctness under concurrent updates, network partitions, partial failures, and service redeployments
• Apply expertise in:
• Idempotency keys
• Optimistic and pessimistic locking strategies
• Event ordering and causality
• Balance rigorous correctness with performance and latency requirements

• Leverage AI‑powered and agentic tools to:
• Automatically generate and validate state transition tests
• Probe edge cases and concurrency challenges
• Assist in code reviews, refactoring, and documentation
• Accelerate debugging, incident analysis, and root cause discovery
• Use AI responsibly to enhance productivity while maintaining clarity and system integrity

• Engineer services with robust observability through:
• Structured logging, metrics, and alerting
• Distributed tracing
• Ensure all state transitions and emitted events are:
• Fully traceable and reproducible
• Auditable for compliance and investigative needs

• Partner with platform, data, and quality engineering teams to assure end‑to‑end reliability
• Participate in architecture and design reviews to elevate system quality standards
• Mentor and guide engineers on best practices for safe, reliable, and maintainable distributed systems

• 6 years of experience in backend or platform engineering
• Demonstrated hands‑on expertise with:
• State machine modeling and lifecycle management
• Transactional state stores
• Idempotent API and workflow design
• In‑depth understanding of:
• Exactly‑once or effectively‑once processing
• Failure modes in distributed environments
• Proficiency in one or more contemporary languages (e.g., Java, Kotlin, Go, Python)
• Experience with AI‑assisted development tools for productivity and code quality

• Experience with outbox, transactional messaging, or event sourcing patterns
• Familiarity with low‑latency, high‑throughput architectures
• Ope…