Azure DevOps Engineer Laboratory & HPC Systems

Job Title: Azure DevOps Engineer Laboratory & HPC Systems
Duration: Full-Time
Location: Remote / Hybrid - TX
About the Role
We are seeking an experienced Azure DevOps Engineer to support and modernize our laboratory infrastructure, including High-Performance Computing (HPC) environments, Laboratory Information Management Systems (LIMS), and genomics data pipelines. This role sits at the intersection of cloud engineering and life sciences technology, requiring both deep Azure expertise and practical familiarity with regulated lab systems.
You will be a key contributor to designing, automating, and maintaining CI/CD pipelines, infrastructure-as-code frameworks, and secure cloud environments that power our computational genomics and laboratory workflows.

Key Responsibilities
Azure DevOps & CI/CD

• Design, build, and maintain Azure DevOps pipelines (YAML-based) for continuous integration and deployment across laboratory and bioinformatics applications
• Manage Azure Repos, Boards, Artifacts, and Test Plans in an enterprise environment
• Implement branch strategies, code review workflows, and gated deployments for regulated lab software
• Automate infrastructure provisioning using Terraform, Bicep, or ARM templates in Azure

HPC & Laboratory Systems

• Support and maintain HPC clusters (Azure CycleCloud, SLURM, or equivalent) used for genomics and large-scale computational workloads
• Collaborate with bioinformatics teams to optimize job scheduling, resource allocation, and pipeline throughput
• Manage integration between LIMS platforms (e.g., LabWare, STARLIMS, LabVantage, or similar) and cloud infrastructure
• Ensure reliable, secure data flows between laboratory instruments, LIMS, HPC compute, and downstream analytics systems

Genomics Data Pipelines

• Support deployment and operations of genomics workflows (e.g., WGS, RNA-seq, variant calling) on cloud-native and hybrid HPC infrastructure
• Work with containerized bioinformatics tools (Docker, Singularity) and workflow engines such as Nextflow, Snakemake, or WDL
• Maintain data lifecycle management for large genomic datasets including storage tiering, archival, and retrieval

Security, Compliance & Governance

• Ensure DevOps practices meet GxP, 21 CFR Part 11, HIPAA, or ISO 17025 compliance requirements as applicable
• Implement role-based access control (RBAC), audit logging, and secrets management via Azure Key Vault
• Conduct infrastructure security reviews and support audit readiness for lab and cloud systems

Monitoring & Reliability

• Configure monitoring, alerting, and observability using Azure Monitor, Log Analytics, and Application Insights
• Establish SLAs, SLOs, and incident response playbooks for critical laboratory systems
• Lead root cause analysis and drive continuous improvement following system incidents

Required Qualifications

• 5+ years of experience in a DevOps, Platform Engineering, or Site Reliability Engineering role
• 3+ years of hands-on experience with Azure DevOps (Pipelines, Repos, Artifacts, Boards)
• Demonstrated experience working in or directly supporting laboratory environments with LIMS integration
• Practical knowledge of HPC infrastructure job schedulers (SLURM, PBS), parallel file systems, or Azure CycleCloud
• Experience with genomics or bioinformatics pipelines and familiarity with NGS data formats (FASTQ, BAM, VCF)
• Proficiency with Infrastructure-as-Code tools: Terraform, Bicep, or ARM templates
• Strong scripting skills in Python, Bash, or PowerShell
• Experience with containerization technologies: Docker, Kubernetes (AKS), and/or Singularity
• Understanding of regulated environments and compliance frameworks applicable to life sciences (GxP, HIPAA, 21 CFR Part 11)

Preferred Qualifications

• Microsoft Certified: Azure DevOps Engineer Expert or equivalent Azure certification
• Experience with bioinformatics workflow engines: Nextflow, Snakemake, Cromwell/WDL, or Galaxy
• Familiarity with genomics cloud platforms such as Terra, DNAnexus, Illumina Connected Analytics, or Seqera
• Background supporting clinical or translational genomics laboratories
• Experience with data governance and metadata management for large-scale omics datasets
• Knowledge of Azure Genomics, Azure Batch, or Azure Machine Learning for computational biology workloads
• Familiarity with laboratory instrument integration protocols (HL7, ASTM, or vendor-specific APIs)

Technical Environment
Cloud & DevOps Azure DevOps, Azure Cloud (AKS, Azure Batch, CycleCloud, Key Vault, Monitor, Log Analytics)Terraform / Bicep / ARM, Git, Docker, Kubernetes, Helm HPC & Lab Systems SLURM / PBS / Azure CycleCloud, Lustre or BeeGFS parallel file systemsLIMS platforms (LabWare, STARLIMS, LabVantage, or similar), ELN integrations Genomics & Bioinformatics Nextflow, Snakemake, WDL/Cromwell, SingularityNGS toolchains: BWA, GATK, STAR, Samtools, bcftools, DeepVariantData formats: FASTQ, BAM/CRAM, VCF, FASTA, HDF5
What We Offer

• Competitive salary and equity commensurate with experience
• Comprehensive health, dental, and vision benefits
• Flexible remote or hybrid work arrangement
• Annual learning & development budget for certifications and conferences
• Access to cutting-edge genomics and laboratory technology
• Collaborative, mission-driven culture at the forefront of life sciences and cloud computing