We are seeking an experienced Lead Integration Developer to design, build, and support robust integrations between the Domino Data Lab platform and enterprise IT systems within a life sciences organization. In this role, you will architect secure, scalable data exchange solutions that connect clinical, research, and enterprise systems — empowering data scientists and researchers with seamless access to the data and tools they need.
This is a high-impact position for a hands-on technical leader who thrives at the intersection of integration engineering, cloud infrastructure, and life sciences data governance. Responsibilities Design and develop integration solutions connecting Domino Data Lab with clinical systems, data lakes, and enterprise applications Build and maintain interfaces using Axway MFT, Dell Boomi, and Python-based services Develop APIs, data pipelines, and event-driven integrations supporting data science and analytics workflows Implement secure data transfer mechanisms in compliance with GxP, HIPAA, and other life sciences regulatory standards Deploy and manage integration components in AWS, leveraging EKS, S3, Lambda, and API Gateway Containerize and orchestrate integration services using Kubernetes (EKS) Partner closely with data scientists, platform engineers, and enterprise architects to establish scalable, reusable integration patterns Monitor, troubleshoot, and optimize integrations for performance, reliability, and scalability Maintain thorough documentation, versioning, and governance of integration assets Champion DevOps best practices, including CI/CD pipelines, automated testing, and infrastructure-as-code Requirements Bachelor’s degree in Computer Science, Engineering, or a related field 5-15 years of experience in integration development and middleware technologies Hands-on expertise with Axway MFT (Managed File Transfer), Dell Boomi (integration platform), and Python for API and data integration development Strong background in REST APIs, microservices, and data integration patterns Proven experience with AWS cloud services Hands-on experience with Kubernetes, specifically Amazon EKS Proficiency with data formats and protocols: JSON, XML, CSV, SFTP, HTTPS Excellent troubleshooting and debugging skills in distributed system environments English proficiency at an Upper-Intermediate level (B2) or higher Nice to have Prior experience in life sciences, pharma, or healthcare IT environments Familiarity with Domino Data Lab or similar data science platforms Experience with regulatory compliance frameworks (GxP, 21 CFR Part 11, HIPAA) Exposure to CI/CD tooling (e.g., Jenkins, GitLab CI, GitHub Actions) and IaC tools (e.g., Terraform, CloudFormation) India Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
Job description provided by EPAM Systems.
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