Job Specifications
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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 (eg, 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 & Technical Leadership
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 Use your skills to make an impact Required Qualifications
6+ years of experience in Back End 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 (eg, Java, Kotlin, Go, Python)
Experience with AI-assisted development tools for productivity and code quality Preferred Qualifications
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 Success Indicators
State transitions are precise, deterministic, and resilient to retries
Side effects reliably occur exactly once, even during failures or replays
Systems recover gracefully from crashes and redeployments
AI-driven tooling decreases defect rates and expedites debugging
The state layer is trusted as the definitive source of truth across engineering teams Why This Role is Critical
In contemporary automated platforms, correctness and reliability hinge on the integrity of state, not just requests. This role ensures that every state transition and side effect i
About the Company
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