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.

Key Responsibilities

State Machine Architecture & Implementation

• 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

Transactional State Memory & Exactly-Once Processing

• Architect and manage transactional state stores serving as the single source of truth
• Support safe, high-concurrency read/write operations
• Uphold system invariants 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

Reliable Side Effects via Outbox Pattern

• 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

Distributed Systems & Concurrency Management

• 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

AI-Assisted & Agentic Engineering Practices

• 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

Observability, Auditability & Trust

• 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

Collaboration &