Senior Software Engineer - NBA

HumanaColorado Springs, TN
$106,900 - $147,000Hybrid

About The Position

Become a part of our caring community 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.

Requirements

  • Bachelor's degree in computer science or related field
  • 6+ years of experience in backend or platform engineering
  • Demonstrated hands-on expertise with state machine modeling and lifecycle management
  • Demonstrated hands-on expertise with transactional state stores
  • Demonstrated hands-on expertise with idempotent API and workflow design
  • In-depth understanding of exactly-once or effectively once processing
  • In-depth understanding of 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

Nice To Haves

  • Experience with outbox, transactional messaging, or event sourcing patterns
  • Familiarity with low-latency, high-throughput architectures
  • Operational experience in systems requiring strict auditability and correctness
  • Background in regulated or mission-critical domains

Responsibilities

  • Design, build, and maintain explicit state machines governing lifecycle transitions (e.g., open → in progress → completed → suppressed), validation of permissible transitions, and time-based and event-driven changes.
  • Ensure state machines are clearly modeled, not hidden in code logic, deterministic, reproducible, auditable, easily understood, and testable, and robust against illegal or duplicate transitions through comprehensive validation.
  • Architect and manage transactional state stores serving as the single source of truth, supporting safe, high-concurrency read/write operations, and upholding system invariants across partial failures and recovery scenarios.
  • Implement robust idempotency controls so requests can be safely retried, commands execute at most once, and 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, and maintain clear separation between state mutation and downstream event delivery.
  • Facilitate replay, backfill, and recovery operations without breaching state guarantees and 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, and 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, and 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, alerting, and distributed tracing.
  • Ensure all state transitions and emitted events are fully traceable, reproducible, and 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.

Benefits

  • medical
  • dental
  • vision
  • 401(k) retirement savings plan
  • time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
  • short-term and long-term disability
  • life insurance
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