Senior Azure DevOps Engineer
Unisys CORP - Milton Keynes, Buckinghamshire, United Kingdom
Posted May 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
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- Weekend work
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Application
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- Deadline
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Where they hire
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About this role
Senior Azure DevOps Engineer Milton Keynes, Buckinghamshire, United Kingdom Milton Keynes, Buckinghamshire, United Kingdom What success looks like in this role: We are seeking a highly skilled Senior DataOps / Azure DevOps Engineer to join our core data platform team. This role combines Azure CloudOps , Infrastructure as Code , and CI/CD engineering with a strong focus on platform reliability, security, and automation . The mission is to design, build, and operate a secure, scalable, and automated Databricks Lakehouse platform while ensuring enterprise‑grade DevOps practices across Azure environments. This is a senior individual contributor position with high technical ownership and cross‑functional impact. Key Responsibilities 1. Infrastructure as Code (Primary) Design, implement, and maintain Terraform‑based IaC for Azure and Databricks. Build reusable modules for multi‑environment and multi‑workspace deployments. Deploy and maintain Azure components: Databricks workspaces & metastores Unity Catalog policies Azure Data Lake Storage Networking, identity, and secure access patterns Implement policy‑as‑code , enforcing compliance, cluster policies, and guardrails. Ensure environments are secure‑by‑default , auditable, and automated end‑to‑end. 2. CI/CD Engineering (Primary) Design and operate CI/CD pipelines using Azure DevOps . Build CI/CD frameworks for Databricks assets (DAB): notebooks, packages, workflows, Delta Live Tables Implement automated validation: linting, tests, schema checks. Establish promotion strategies (dev → test → prod). Integrate Azure DevOps pipelines with Databricks Repos and enterprise Git workflows. 3. Platform Reliability & Operations Build monitoring and observability for Databricks workloads: job health, performance, usage, cost signals Implement alerting and dashboards for proactive operational management. Design systems for: safe rollback,
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