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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong capabilities in building and maintaining Python services for orchestrating LLM agents, implementing agent-to-agent communication, and developing streaming APIs. Proficient in containerization, Kubernetes deployments, and securing service communications with mTLS.
Highest-signal resume keywords
Strong Python SkillsA2A Protocol ExperienceAsyncio ProficiencyKubernetes DeploymentsLLM Integration Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonA2A ProtocolAsyncioStreaming APIsPydantic AIJinja2OpenTelemetryDockerKubernetesMTLS
Soft Skills
Excellent Communication SkillsGreat Level of English
Tools & Technologies
AWS BedrockAzure OpenAIArize PhoenixSplunkDatadogGitGitHub Actions
Industry Keywords
PharmaceuticalHealthcareLife Sciences
Tech Stack
Tools & technologiesAWSAzureDockerKubernetesPythonSplunk
About the role
Key responsibilities & impact- Build and maintain Python services that orchestrate LLM agents
- Implement routing and delegation across multiple agents
- Implement agent-to-agent communication using the A2A protocol and agent cards
- Develop streaming APIs that deliver results incrementally
- Integrate LLMs through AWS Bedrock/Anthropic, Azure OpenAI, or comparable platforms using tool calling and prompt templates
- Instrument applications with observability and LLM tracing
- Troubleshoot issues in distributed environments
- Package and deploy services in containers and Kubernetes clusters
- Secure service-to-service communication using mTLS
- Manage the certificate lifecycle
- Contribute to CI/CD pipelines and version control best practices
Requirements
What you’ll need- Strong Python skills
- Proven hands-on experience with the A2A protocol and multi-agent delegation
- Solid experience with asyncio, including async generators, queues, concurrent producers, and task cancellation
- Experience building streaming APIs that return results incrementally
- Experience with agentic frameworks such as Pydantic AI, LangGraph, or comparable tools
- Experience with tool calling, agent routing, and prompt templating with Jinja2
- Experience integrating LLM APIs such as AWS Bedrock/Anthropic, Azure OpenAI, or comparable platforms
- Experience with OpenTelemetry and LLM tracing tools such as Arize Phoenix or comparable tools
- Experience debugging logs across multiple pods using Splunk, Datadog, or similar tools
- Experience with Docker, including multi-stage builds, private registries, and devcontainers
- Experience with Kubernetes deployments, services, ingress, probes, kubectl, and k9s
- Experience with mTLS as a client and certificate lifecycle management
- Experience with Git and GitHub Actions
- Excellent communication skills
- Great level of English
- Senior-level experience
- Nice to have: Software Lifecycle documentation experience, especially in regulated environments
- Nice to have: Background in pharmaceutical, healthcare, or life sciences projects
Benefits
Comp & perks- People-first, supportive, trusted, and empowering work environment
- Team collaboration and mutual support
- Meaningful long-term work and partnerships