Senior Integration Engineer

Key Responsibility:

• Define the standards for integration flows across sync, async/event-driven, orchestrated (Saga/compensating-transaction), and batch patterns, establishing when each applies rather than defaulting to one, and implement the reference patterns yourself.
• Set the resilience standard for every live call to a system of record (circuit breakers, timeouts, idempotency keys, and fail-fast behavior that protects both the source system and the front-end session) and build it into the shared components teams inherit.
• Establish the deployment standard for how integrations are packaged and run, whether as containers or AWS serverless, and make the call per workload rather than by default.
• Establish and enforce API documentation and contract standards (contract-first OpenAPI for sync, AsyncAPI for event-driven) that are mechanically checkable rather than policy-dependent.
• Architect the platform’s agentic surface, exposing integrations as governed, semantically described tools that AI agents and operational harnesses can call safely, with guardrails around inputs, tokens and downstream system protection.
• Stand up observability as a platform standard across all tiers, including distributed tracing, metrics, structured logging, and SLOs, so failures are diagnosable across a distributed transaction and not just within one service.

Required Skills & Qualifications

• AWS- Production experience building on AWS, including serverless (Lambda, API Gateway, Step Functions, EventBridge or equivalent) and the networking/IAM boundaries that enforce governance.
• Integration patterns- Demonstrated depth across sync, async/event-driven, workflow orchestration, and batch, including when to use which and the failure modes of each.
• API documentation standards- Contract-first design with OpenAPI/AsyncAPI, where you’ve set the standard for a team rather than just consumed one.
• Architecting for agentic workflows- Experience designing LLM-facing tool/agent surfaces with guardrails around inputs, tokens, and downstream system protection.
• Observability- Hands-on with tracing/metrics/logging tooling and the standards behind them (OpenTelemetry or equivalent) across distributed systems.
• Containers- Docker and a container orchestration/runtime platform in production.

Preferred Qualifications:

• Amazon Redshift and/or SageMaker.
• Change data capture at scale, with an appreciation for why near-real-time capture off a transactional system of record is hard.
• Schema-registry-governed formats (Avro or similar) and enforceable data-contract governance.
• Enterprise ERP/CRM/PIM integration at scale.
• iPaaS familiarity, with a clear-eyed view of where it fits versus where it doesn’t.

Key Competencies