Azure DevOps Engineer Laboratory & HPC SystemsSaviance Technologies • United States
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Azure DevOps Engineer Laboratory & HPC Systems
Saviance Technologies
- United States
- United States
Über
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
Sprachkenntnisse
- English
Hinweis für Nutzer
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