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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in building production software with a strong focus on both frontend and backend development, including system design, data modeling, and integration of AI-powered features. Proven ability to communicate effectively with stakeholders and manage sensitive data securely while ensuring high-quality product outcomes.
Highest-signal resume keywords
5+ Years Software Development ExperienceFrontend And Backend DevelopmentExperience With LLM-Powered FeaturesStrong System Design SkillsExperience With AWS And Cloud-Based Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Frontend DevelopmentBackend DevelopmentSystem DesignData ModelingAPIsLLM IntegrationTesting StrategiesQuality AssuranceSecurity By DesignProduction Monitoring
Soft Skills
Clear CommunicationCollaboration With Non-EngineersProblem-Solving
Tools & Technologies
ReactGoJava With Spring BootAWSMongoDBRedisDockerKubernetesTerraformAI Coding Agents
Certifications & Qualifications
Bachelor’s Degree In Computer Science
Industry Keywords
Cloud-Based Production SystemsSensitive Data HandlingAudit LoggingObservabilityIncident Response
Tech Stack
Tools & technologiesAWSCloudDockerDynamoDBJavaKubernetesMongoDBReactRedisSpringSpring BootSpringBootTerraformGo
About the role
Key responsibilities & impact- Build features end to end for enrollment and sales teams, clinicians, and operations
- Work closely with Product to shape, design, deliver, measure, and iterate on products
- Integrate LLM models to improve clinical and member experiences
- Work with Clinical, Sales, and other stakeholders to understand workflows and identify high-impact problems
- Own product outcomes, including success metrics, solution design, delivery, measurement, and iteration
- Build intuitive frontend experiences, reliable backend services, event-driven workflows, data flows, and third-party integrations
- Make system design and broader architectural decisions covering data models, failure modes, scalability, and cost
- Build with AI coding agents and ensure quality through specifications, acceptance criteria, tests, typed contracts, and careful review
- Build AI-powered product features with structured outputs, evaluations, and safe fallback behavior
- Protect patient data, maintain audit trails, use feature flags and progressive rollouts, and verify data accuracy
- Monitor production services, respond to incidents, identify root causes, and improve reliability, observability, and performance
- Participate in on-call rotations and incident response
- Communicate decisions, tradeoffs, risks, and progress to engineers, stakeholders, and leadership
Requirements
What you’ll need- Extensive experience building production software, with real experience on both frontend and backend
- A record of shipping user-facing features where you shaped the scope, not just implemented tickets
- Clear communication with non-engineers, and comfort working directly with internal teams
- Solid system design: data modeling, APIs, failure handling, observability, reliability, security by design
- You test and monitor your own work, and you care when numbers are wrong
- Regular use of AI coding assistants, and the judgment to know when not to trust them
- 5+ years of professional software development experience, including significant time building and operating cloud-based production systems end to end
- Demonstrated system design skills, including services, APIs, data models, and integrations that held up in production
- Sustained, hands-on use of AI coding agents on a production codebase, with testing strategies, review practices, and quality guardrails
- Experience shipping LLM-powered features using frontier models to production and operating them reliably, with evals and fallback behavior
- Experience with prompt and context management, versioned prompts, retries, timeouts, fallbacks, and privacy-safe logging
- Experience handling sensitive data securely, including access controls, encryption, and audit logging
- Experience in a startup or similarly fast-moving environment where engineers take broad ownership
- Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
- Strong frontend and backend experience across the stack
- Experience with React, Go, Java with Spring Boot, or comparable backend technologies
- Experience with AWS, including Lambda, SQS, DynamoDB, and API Gateway
- Experience with MongoDB and Redis, or comparable data stores
- Experience with Docker and Kubernetes
- Experience with infrastructure as code, such as Terraform, AWS CloudFormation, or AWS CDK
- Experience with logging, monitoring, alerting, and observability tooling
- Experience with LLM provider APIs, structured outputs, function calling, tool use, streaming, rate limits, timeouts, provider errors, eval suites, tracing, and production quality monitoring
- Experience with AI coding agents such as Claude Code, Cursor, or Codex, plus automated tests, typed interfaces, static analysis, and CI quality gates