Lead : Python Backend Developer (Healthcare / Claims)
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Role details
Tech stack
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Job description
- Lead the design and development of scalable backend applications using Python.
- Build and deploy cloud-native applications using AWS.
- Design and develop REST APIs, microservices, and distributed backend systems.
- Work on healthcare and claims-processing applications.
- Make technical architecture and design decisions focused on scalability, security, performance, and reliability.
- Develop and maintain containerized applications using AWS EKS / Kubernetes.
- Drive CI/CD automation, infrastructure-as-code, and engineering best practices.
- Use AI-assisted development tools to improve coding, testing, documentation, and engineering productivity.
- Guide the adoption of AI-assisted coding practices while maintaining security and data privacy standards.
- Participate in hands-on coding, technical design reviews, troubleshooting, and production issue resolution.
- Mentor engineers and provide technical leadership across development teams.
- Collaborate with product, business, and client stakeholders to deliver reliable software solutions.
Requirements
We are looking for a strong hands-on Python Backend Development Lead with extensive experience in AWS Cloud, Microservices, Distributed Systems, and AI-Assisted Development. The ideal candidate must have deep expertise in Python backend engineering, experience designing and developing scalable cloud-based applications, and proven experience working on healthcare or health insurance claims projects. This is a hands-on technical leadership role, requiring strong coding expertise, backend architecture skills, and the ability to guide engineering teams while contributing to technical design and development. Mandatory Technical Skills
- Strong Python Backend Development: Expert-level hands-on Python coding, backend application development, and technical problem-solving.
- AWS Cloud: Deep hands-on experience designing, developing, deploying, and supporting applications on AWS.
- Healthcare / Claims Domain: Mandatory experience working on healthcare, health insurance, or claims-related projects.
- REST APIs & Microservices: Strong experience designing and developing scalable backend services and API integrations.
- Distributed Systems: Experience building highly available, scalable, and fault-tolerant applications.
- AWS EKS / Kubernetes: Experience deploying and managing containerized applications.
- AI-Assisted Development: Hands-on experience using tools such as Claude Code, GitHub Copilot, Cursor, or similar AI coding tools.
- AI / LLM Knowledge: Working knowledge of LLM APIs, RAG, embeddings, and agentic development workflows.
- CI/CD & Automation: Experience with automated builds, testing, deployments, and infrastructure-as-code.
Technical Leadership: Ability to lead technical design, review code, mentor developers, and drive engineering delivery., * 12+ years of software engineering experience, including technical leadership experience.
- Expert-level Python backend development skills.
- Strong hands-on experience with AWS Cloud and cloud-native application architecture.
- Experience with AWS services such as Lambda, API Gateway, S3, ECS/EKS, RDS, DynamoDB, IAM, and CloudWatch.
- Strong experience in REST APIs, Microservices, and Distributed Systems.
- Experience with Docker, Kubernetes, and containerized deployments.
- Experience with Terraform, CloudFormation, or Ansible and CI/CD pipelines.
- Practical experience with AI-assisted coding tools and knowledge of LLM integration patterns.
- Healthcare / Claims project experience is mandatory.
- Experience leading technical projects, reviewing code, and mentoring engineering teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Preferred Skills
- Go or Java backend development experience.
- Healthcare payer platforms, claims processing, enrollment, benefits, and HIPAA-aware applications.
- Red Hat OpenShift.
- Messaging systems such as Kafka, AWS SQS, or SNS.
- Node.js.
- HL7, FHIR, or X12 EDI.
- Consulting or professional services experience.
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