We are looking for an experienced AWS DevOps & Full Stack Engineer to support a new engagement with our client is a leading innovator in healthcare data analytics. This role will play a critical part in designing, building, and maintaining scalable cloud infrastructure and full-stack applications that power data-driven insights. The ideal candidate will have strong AWS DevOps expertise, full-stack development experience (primarily in Python), and a solid foundation in data engineering.

Key Responsibilities

· Design and implement AWS-based infrastructure, including EKS, ECS, Lambda, S3, and CloudFormation/Terraform.

· Develop and manage containerized services using Docker and Kubernetes.

· Build and maintain data pipelines for ingestion, processing, and analytics (using tools such as AWS Glue, Step Functions, or custom ETL processes).

· Contribute to backend and full-stack development using Python and relevant frameworks

· Integrate with frontend interfaces (React/JavaScript experience is a plus but not required).

· Implement CI/CD pipelines and ensure infrastructure-as-code best practices.

· Work collaboratively with data analysts, and product teams to deploy and monitor data applications.

· Troubleshoot production issues, improve performance, and ensure system reliability and security.

Required Skills & Experience

· 5+ years of experience in cloud-native DevOps, preferably in an AWS environment.

· Proficiency with Docker, Kubernetes (EKS), and serverless compute (Lambda).

· Strong Python programming skills; experience building APIs, backend services, or data applications.

· Experience designing and operating data pipelines and working with structured/unstructured datasets.

· Familiarity with DevOps tooling: GitLab CI/CD, CloudWatch, IAM, Terraform/CloudFormation.

· Experience with monitoring, logging, and cost optimization in cloud environments.

· Previous experience in healthcare, biotech, or regulated data environments is a plus.

Nice to Have

· Experience with frontend technologies ( React, Vuejs)

· Background in data science or analytics workflows.

· Knowledge of HIPAA or other compliance frameworks.