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# Senior AI/Cloud Engineer

- **Company:** Spectraforce
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Engineering, Cursor (Graphical User Interface Elements), Distributed Systems, Amazon DynamoDB, State Machines, Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Serverless Computing
- **Published:** July 30, 2026
- **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=2574445a-a307-44cc-b9f2-735aa94ec9ca&OrgId=1&UserId=6235

## About the Role

· 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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