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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in async Python, Pydantic, and FastAPI, with a solid understanding of MCP and experience in building and deploying agents. Familiar with Kubernetes, Docker, and LaunchDarkly, emphasizing a strong focus on developer experience and internal documentation.
Highest-signal resume keywords
Async Python ProficiencyMCP Server ExperienceKubernetes DeploymentsDockerfile AuthoringLaunchDarkly Configuration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Async PythonPydanticFastAPIStrands Agent SDKPytestPostgreSQLMCPMulti-Agent ArchitecturesDockerKubernetes
Tools & Technologies
LaunchDarklyAWS ECRAWS EKSOAuth2/OIDCTerraformClaude CodeCursor
Industry Keywords
Developer ExperienceInternal DocumentationAgent Behavior EvaluationTrunk-Based DevelopmentFeature Flags
Tech Stack
Tools & technologiesAWSDockerKubernetesPostgresPythonTerraform
About the role
Key responsibilities & impact- Build and ship features across Champion platform repositories
- Improve developer experience through tooling, scaffolding, internal documentation, and onboarding paths
- Maintain and evolve the MCP tool server and agent infrastructure
- Identify and address friction slowing Champion development or deployment
- Support business-unit Applied AI engineers in building, deploying, and operating Champions
- Review agent implementations for prompt quality, scope enforcement, auth configuration, and deployment setup
- Contribute to internal engineering guides and skill documentation
- Pair with business-unit engineers on Kubernetes manifests, database registration, and LaunchDarkly prompt rollout
- Design and build Champion agents for business-unit use cases
- Write and iterate on system prompts, tool bindings, and context injection
- Register agents in Champion Server and configure LaunchDarkly-gated prompt rollout
- Follow trunk-based development with PR-gated merges
- Write tests before implementation and keep pull requests small and focused
- Use feature flags for incremental releases and maintain API/schema backward compatibility
Requirements
What you’ll need- Proficient in async Python, Pydantic, type hints, and FastAPI
- Experience with the Strands agent SDK or a comparable agentic framework
- Comfortable with pytest, pytest-asyncio, and DeepEval
- Able to write and iterate on production system prompts
- Solid understanding of MCP and hands-on experience building or consuming MCP servers
- Familiarity with multi-agent architectures and orchestration patterns
- Able to design and run evaluation suites for agent behavior
- Comfortable authoring Dockerfiles, multi-stage builds, and docker-compose / make environments
- Comfortable with templated PostgreSQL INSERT/SELECT, foreign key relationships, and ER diagrams
- Follows conventional commit format and PR-based trunk workflow
- Working knowledge of Kubernetes Deployments, Services, ConfigMaps, and ServiceAccounts is nice to have
- Working knowledge of AWS ECR, EKS, IAM, and Bedrock is nice to have
- Conceptual understanding of OAuth2/OIDC is nice to have
- Beginner-level Terraform familiarity is nice to have
- LaunchDarkly experience is nice to have
- AWS Textract or comparable OCR/document-intelligence experience is nice to have
- Comfortable using Claude Code and Cursor
- Work authorization in Mexico required; visa sponsorship is not offered
Benefits
Comp & perks- Remote work
- Opportunities for growth
- AI-assisted development tools and workflow