Senior AI/Cloud Engineer
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Requirements
· Agentic coding tools. Production use of Claude Code, OpenCode, Cursor, or equivalent. Comfortable with MCP servers, context strategy, and prompt/workflow design. Has opinions on when to use an agent and when not to. · AWS serverless, advanced. Deep production experience with Lambda, DynamoDB (single-table design, GSI strategy, streams), SNS/SQS/EventBridge (fan-out, DLQs, idempotency), API Gateway, Step Functions, S3, CloudWatch. - Builds event-driven, on-demand systems that idle cheaply and burst on traffic. IaC with CDK (preferred) or Terraform. · Bedrock + GenAI on AWS. Has shipped production RAG, agents, or workflows on Bedrock - Knowledge Bases, Agents, Guardrails. Understands model routing, prompt caching, and inference cost tuning. OpenSearch for vector/hybrid retrieval a plus. · Distributed systems. Senior grasp of eventual consistency, idempotency, retries/backoff, choreography vs. orchestration, observability, and blast radius containment. Reads a diagram and spots the failure points; writes diagrams others can build from. · Build AI-native platform capabilities on AWS · Design event-driven services for bursty, variable workloads · Pair with internal engineers on architecture and design reviews · Shape day-to-day team practices around agentic coding tools · Produce reusable patterns and components other teams adopt
Years of Experience: 10.00 Years of Experience
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