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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining backend services and APIs using Python, with a strong focus on integrating AI/ML technologies and processing healthcare data. Proficient in implementing automated testing and ensuring application reliability while adhering to security and privacy standards.
Highest-signal resume keywords
Python Software DevelopmentRESTful API DevelopmentAI/ML IntegrationAutomated TestingHealthcare Data Processing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend DevelopmentData ProcessingObject-Oriented DesignSQLNLPDocument ProcessingGenerative AIError HandlingAsynchronous ProcessingCloud Services
Soft Skills
Analytical SkillsOrganizational SkillsProblem-Solving SkillsEffective Communication
Tools & Technologies
AWSGitDockerTerraformCI/CDPostgreSQLCloudWatchS3API GatewayStep Functions
Industry Keywords
Healthcare RecordsProtected Health InformationFHIRHL7Domain-Driven DesignSpecification-Driven DevelopmentTest-Driven DevelopmentPublic TrustSecurity ClearanceProfessional Services
Tech Stack
Tools & technologiesAWSCloudDockerPostgresPythonSQLTerraform
About the role
Key responsibilities & impact- Design, develop, test, and maintain backend services, APIs, and data-processing workflows supporting the HDE product
- Develop production-quality Python software for document ingestion, processing, clinical data extraction, validation, enrichment, and delivery
- Integrate generative AI, NLP, OCR, and other machine-learning services into secure and reliable backend applications
- Convert product requirements, technical specifications, and data contracts into maintainable software components
- Build and support RESTful APIs and event-driven processing workflows
- Process structured and unstructured healthcare data and produce consistent, standards-based outputs
- Implement automated unit, integration, and regression tests
- Diagnose and resolve software, data, performance, and integration issues across distributed cloud services
- Improve application reliability through logging, monitoring, error handling, retries, and operational metrics
- Evaluate AI-assisted extraction results and implement validation, grounding, confidence scoring, and quality-control mechanisms
- Optimize services for performance, scalability, resilience, and cost
- Protect sensitive healthcare information by following security, privacy, and data-handling requirements
- Participate in design discussions, code reviews, estimation, sprint planning, and collaborative problem-solving
- Coordinate with software engineers, AI/ML engineers, data engineers, product managers, and domain specialists
- Contribute to technical documentation, engineering standards, and continuous improvement of development processes
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, or a related technical discipline, with 4+ years of relevant professional experience; additional experience may be considered in lieu of a degree
- Professional software development experience using Python or a comparable backend programming language
- Experience developing and supporting production backend services, APIs, or data-processing applications
- Understanding of object-oriented and modular software design, data structures, error handling, and maintainable coding practices
- Experience with REST APIs, JSON-based data contracts, and asynchronous or event-driven processing
- Experience working with relational databases and SQL
- Familiarity with cloud platforms and managed services, preferably AWS
- Experience integrating AI/ML models or managed AI services into software applications
- Working knowledge of NLP, document processing, generative AI, or information-extraction concepts
- Experience writing automated tests and troubleshooting software across development and deployed environments
- Experience using Git and participating in collaborative development and code-review workflows
- Strong analytical, organizational, and problem-solving skills
- Effective written and verbal communication skills, including the ability to work with technical and nontechnical stakeholders
- Ability to independently complete assigned features and contribute to the design of moderately complex software components
- Ability to obtain and maintain a security clearance or Public Trust/suitability determination, as required by the program
- Preferred: AWS Lambda, Step Functions, SQS, S3, API Gateway, RDS/PostgreSQL, CloudWatch, Bedrock, Textract; healthcare records or protected health information; FHIR or HL7; document-processing, OCR, NLP, or generative-AI extraction pipelines; AI-result evaluation; responsible AI; Terraform; CI/CD; PostgreSQL; distributed workflows; message queues; Docker; professional services, healthcare, government, or federal consulting; Domain-Driven Design; specification-driven development; test-driven development
