--- title: 'DevOps Engineer | Luma at Dotmatics' canonical: 'https://feeny.ai/job/devops-engineer-luma-dotmatics-united-kingdom-bfv01tr5w01v' type: 'job' last_seen: '2026-11-12' --- # DevOps Engineer | Luma at Dotmatics - **Company:** Dotmatics - **Location:** United Kingdom - **Work type:** remote - **Posted:** 2026-11-10 - **Last confirmed live:** 2026-11-12 - **Apply:** https://www.dotmatics.com/jobs/apply?gh_jid=4750986005 ## Job description Our Why At Dotmatics At Dotmatics, a Siemens company,  we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian. We have a vision for a new Lab of the Future that will change the future of scientific research. We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making. Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now. Shaping the Future of Science At Dotmatics Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. You’ll join a collaborative, global team pushing the boundaries of scientific innovation.  Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future. We are Science Driven. We are Customer Centric. We are Better Together. What do we need Dotmatics is seeking a DevOps Engineer to join our team working on ground-breaking Scientific Software products such as Luma.  In this role, you will have the opportunity to apply your knowledge to help improve our processes, infrastructure and security by applying best practices with the latest technologies. You will be AI fluent and know how AI influences engineering and DevOps In this role you will get to: - Design and manage CI/CD and deployment pipelines for both AWS-native and Kubernetes-based applications - Provide advice/assistance to the product teams, clarifying requirements for deployment - Collaborate with product teams on cloud and container best practices - Manage IT infrastructure in cloud computing environments - Automation: Use CI tools to automate code changes, builds, testing, and analysis - Monitoring: Monitor performance after release - Develop and improve monitoring systems for automated alerts - Strategy: Design and manage the DevOps infrastructure, pipelines, and processes - SECURITY: Embed security into every stage of the delivery lifecycle (DevSecOps), including automated SAST, DAST, dependency, secrets, and container image scanning in CI/CD pipelines - SECURITY: Implement and enforce least-privilege IAM, network segmentation, encryption in transit and at rest, and secrets management (e.g. AWS Secrets Manager, Vault, KMS) - SECURITY: Harden Kubernetes clusters and cloud environments using policy-as-code, admission controls, runtime protection, and CIS/NIST benchmarks - SECURITY: Support vulnerability management, incident response, audit readiness, and compliance efforts (e.g. SOC 2, ISO 27001) - AI: Use AI-assisted tooling to accelerate pipeline development, infrastructure code, troubleshooting, and incident analysis - AI: Apply AI/ML-driven capabilities to monitoring, including anomaly detection, alert noise reduction, and automated root-cause analysis - AI: Build and operate deployment pipelines and infrastructure for AI/ML and LLM-based workloads, including model serving, GPU-enabled clusters, and cost controls - AI: Establish guardrails for responsible AI use in engineering workflows, including data privacy, access controls, and review of AI-generated code and configuration We are looking for people who have 8+ years of experience maintaining high-traffic applications and complex technical infrastructure. You will be someone with a proven background in supporting cloud environments, with hands-on experience translating AWS Well-Architected principles into action. The key skills we are looking for: - Kubernetes clusters/customer cloud environments - AWS (ECS, EKS, ALB, EC2, S3, RDS, CloudFront, Route53, etc.) - Infrastructure-as-code (Terraform, CloudFormation, Pulumi) - CI/CD tools (Octopus Deploy, GitHub Actions, Jenkins, TeamCity, CodePipeline, etc.) - APMs and logging (e.g. Datadog, Grafana, Prometheus, Loki, ELK, App Insights) - Networking concepts in cloud environments - Software development lifecycle processes/version control - Security: DevSecOps practices, AWS security services (IAM, GuardDuty, Security Hub, WAF, Config, KMS), container and supply chain security (image signing, SBOMs), and security scanning tools (e.g. Trivy, Snyk, SonarQube, Checkov) - Security: Familiarity with Kubernetes security (RBAC, network policies, Pod Security Standards, OPA/Kyverno) and secrets management - AI: Practical experience using AI coding and operations assistants (e.g. GitHub Copilot, Claude, Amazon Q) to improve engineering productivity - AI: Understanding of how to deploy and operate AI/ML workloads (e.g. Amazon Bedrock, SageMaker, model-serving on Kubernetes) and observe their performance and cost - AI: Awareness of AI-specific risks such as prompt injection, data leakage, and insecure AI-generated code You may also have: - Scripting languages (e.g. Python, Bash) - Linux administration and networking (e.g. HTTP/2) - Microservice and serverless architectures - Experience with GitOps tooling (e.g. Argo CD, Flux) - Experience building internal tooling or agents that apply AI to DevOps workflows (e.g. automated incident triage, ChatOps) - Relevant certifications (e.g. AWS Certified DevOps Engineer, AWS Security Specialty, CKA/CKS) - Databases (e.g. PostgreSQL, MySQL, MongoDB) - Exposure to AI-enabled tooling or workflows, with openness to incorporating AI into day-to-day work Research shows us the[confidence gap](https://www.theatlantic.com/magazine/archive/2014/05/the-confidence-gap/359815/) and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you. By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics [Privacy Notice](https://www.dotmatics.com/privacy-policy) explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information. Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. ## About Dotmatics ## Company Overview - **One-liner**: Dotmatics provides a cloud‑based scientific R&D platform that connects best‑in‑breed software applications to accelerate research and innovation. - **Entity Type**: Private (wholly owned subsidiary of Siemens AG following a $5.1 billion acquisition completed July 1, 2025) - **Headquarters**: Boston, Massachusetts, United States - **Founded**: 2005 - **Founders**: Stephen Gallagher, Alastair Hill ## Core Business - **Primary industry**: Scientific R&D software for life sciences, biopharma, clinical research, and academia. - **Target customers**: B2B – biopharma companies, contract research organizations (CROs), academic institutions, and forensic/genetic testing labs. - **Mission**: “To accelerate scientific innovation and help make the world a healthier, cleaner, and safer place to live.” ## Products & Services - **Dotmatics Platform**: Cloud‑based enterprise data management platform that harmonizes data from instruments and software for AI‑ready analysis. - **Luma Agent**: Agentic AI assistant that plans, executes, and documents research workflows, from data query to audit‑ready reports. - **GraphPad Prism**: Widely used statistical analysis and graphing software for scientists. - **SnapGene**: Molecular biology visualization and cloning software with detailed documentation. - **Geneious Suite**: Bioinformatics tools for molecular biology, genomics, and antibody screening. - **LabArchives**: Electronic lab notebook for capturing and collaborating on experimental data. - **Other Applications**: OMIQ (flow cytometry), Protein Metrics, nQuery, SoftGenetics (clinical/forensic genetics), and M‑Star. ## Market Standing - **Valuation/Market Cap**: Acquired by Siemens AG for $5.1 billion (announced April 2025, closed July 2025) - **Key Metric**: 2 million+ users, 10,000+ customers, 800+ employees (LinkedIn data: 364 employees as of mid‑2025, with 4.7% YoY growth) - **Notable Investors/Partners**: Insight Partners (lead prior to acquisition), Siemens (current parent); customers include Illumina, GSK, Waters Corporation, and PerkinElmer. - **Growth Signals**: Launch of Luma AI agent; acquisition of SoftGenetics expanding into clinical and forensic markets; 20%+ LinkedIn follower growth; 65% average NPS score. ## Competitive Advantages - **Ecosystem play**: Open platform that unites multiple industry‑leading scientific applications (GraphPad Prism, SnapGene, Geneious) with a data‑driven backbone. - **AI leadership**: Luma Agent provides end‑to‑end automation with full traceability, a key differentiator in the lab‑of‑the‑future space. - **Siemens backing**: Access to global industrial reach, resources, and digital infrastructure after acquisition. - **User base loyalty**: 2 million active scientists across 180+ countries; strong brand recognition in academia and biopharma. ## Strategic Focus - Transitioning to an AI‑native "Lab of the Future" with Luma Agent as the central orchestrator. - Expanding into clinical and forensic genetic analysis via recent acquisitions. - Deepening integration with Siemens’ digital industry portfolio to offer end‑to‑end R&D solutions. - Continuing to build a multimodal science platform that structures data for AI/ML applications. ## Why Work Here - **Culture**: “Science Driven, Customer Centric, Better Together” – built by scientists for scientists. - **Work model**: Remote‑friendly with hubs in Boston, UK (Bishop’s Stortford), San Diego, Auckland, Tokyo, Cork, and others. - **Employee ratings**: 4.1/5 on LinkedIn (work‑life 4.2, culture 3.9, compensation 3.8, career 3.7). - **Engineering roles**: Senior Full Stack Engineer (Node.js), Staff Data Engineer, Senior Data Analytics Engineer, Performance Test Engineer. - **Impact**: Work on products used by millions of researchers globally, with the opportunity to shape AI‑driven scientific discovery. ## Sources 1. [dotmatics.com](https://www.dotmatics.com/) – Main site, product overview, Luma Agent details. 2. [dotmatics.com/about-us](https://www.dotmatics.com/about-us) – Mission, vision, company history, acquisition by Siemens. 3. [dotmatics.com/about-careers](https://www.dotmatics.com/about-careers) – Culture, remote/hybrid policy, 800+ employees, global hubs. 4. [linkedin.com/company/dotmatics](https://www.linkedin.com/company/dotmatics) – Employee count, revenue, funding, acquisitions, recent departures, job postings. 5. [dotmatics.com/jobs](https://www.dotmatics.com/jobs) – Current open positions. ## Other roles at Dotmatics - [Principal Software Architect | Luma](https://feeny.ai/job/principal-software-architect-luma-dotmatics-boston-702nhgbygafz) — Boston, MA - [Director, Product | Lab Archives](https://feeny.ai/job/director-product-lab-archives-dotmatics-united-states-95hjvbmnjnp2) — United States - [DevOps Engineer | Luma](https://feeny.ai/job/devops-engineer-luma-dotmatics-boston-3ggwe8t28jft) — Boston, MA - [DevOps Engineer | Luma](https://feeny.ai/job/devops-engineer-luma-dotmatics-ireland-4grdmhw3ztnq) — Ireland - [Scientific QA - User Testing | Luma](https://feeny.ai/job/scientific-qa-user-testing-luma-dotmatics-ireland-e9167s1xxny9) — Ireland - [Scientific QA - User Testing | Luma](https://feeny.ai/job/scientific-qa-user-testing-luma-dotmatics-united-kingdom-q6sy1av9br2h) — United Kingdom - [Staff Data Engineer | Luma (MEX)](https://feeny.ai/job/staff-data-engineer-luma-mex-dotmatics-mexico-city-ciudad-de-mexico-2qwhfac597fx) — Mexico City Ciudad de México, Mexico - [Pre-sales Engineer - Japan | Luma](https://feeny.ai/job/pre-sales-engineer-japan-luma-dotmatics-japan-ddj5he482ey4) — Japan - [Sales Manager | India](https://feeny.ai/job/sales-manager-india-dotmatics-chennai-pkkk28d4c0eg) — Chennai, India - [Pre-sales Engineer, Chemistry | Luma](https://feeny.ai/job/pre-sales-engineer-chemistry-luma-dotmatics-chennai-xdj41t4bs4q3) — Chennai, India