Teams at Dotmatics

Build, operate, and improve secure, scalable AWS infrastructure for ELN platform services. Responsibilities include infrastructure-as-code, automation, observability, incident response, cloud security, reliability improvements, troubleshooting, peer code reviews, and collaboration with engineering, security, and DevOps teams.

Designs and manages AWS and Kubernetes infrastructure, CI/CD pipelines, monitoring, and DevSecOps processes. The role includes cloud security, vulnerability management, compliance support, infrastructure automation, and AI-assisted engineering. The engineer will also operate AI/ML workloads, including model-serving and GPU-enabled environments, while implementing responsible AI guardrails and cost controls. Collaboration with product teams and application of AWS Well-Architected principles are central responsibilities.

Conduct exploratory, manual, and user acceptance testing for the Luma scientific software platform. Validate features, integrations, workflows, usability, and edge cases; create test guides and reproducible bug reports; collaborate with developers, product owners, and automation engineers; participate in Agile ceremonies and release readiness; and provide scientific workflow expertise. Backend API, database, REST, and GraphQL validation may also be involved.