Azure Cloud Platform Engineer — Terraform, Kubernetes & Python
Listed on 2026-05-27
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IT/Tech
Cloud Computing, Systems Engineer, Data Engineer
What part will you play? If you’re looking for a place where you can make a meaningful difference, you’ve found it. The work we do at Markel gives people the confidence to move forward and seize opportunities, and you’ll find your fit amongst our global community of optimists and problem-solvers. We’re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs.
Join us and play your part in something special! The Software Engineer works in an Agile team in a multi-technology environment and contributes to the development, maintenance, and enhancement of business applications. Under the guidance of a Senior Software Engineer or Manager, collaborates with Business Analysts, key stakeholders, and other IT professionals to define technical specifications (based on business requirements) and system interfaces to develop and present business solutions.
Software knowledge base will vary based on the applications being built.
We are seeking a Cloud Ops Engineer with 2+ years of experience to help build ... and operate scalable, secure, and reliable cloud platforms that enable engineering and data teams to deliver solutions efficiently and safely.
As a Cloud Ops Engineer, you will work closely with application engineers, data engineering teams, Dev Ops, security, and architecture partners to reduce operational friction, standardize platforms, and continuously improve developer and data practitioner experience across the enterprise.
Key Responsibilities- Design, implement, and maintain cloud platform capabilities in Microsoft Azure
- Build and manage Infrastructure as Code using Terraform
- Operate and enhance Kubernetes clusters and container-based platforms
- Administer, integrate, and operationalize the Databricks Account and Metastores, and advise on deployment guidelines for related cloud infrastructure
- Develop automation, tooling, and integrations using Python
- Support and harden Linux-based systems used across the Enterprise
- Implement security, reliability, and compliance controls using policy-as-code and platform automation
- Partner with data engineering and application teams to enable self-service provisioning and deployment
- Monitor platform health, performance, reliability, and cost; proactively address issues
- Contribute to platform documentation, runbooks, and operational best practice
- Participate in on-call rotations and incident response, as needed
- Bachelor’s degree in Computer Science, Information Systems, or a related field
- 2+ years of experience in platform engineering, cloud engineering, Dev Ops, or SRE
- Hands-on experience using Terraform for infrastructure provisioning
- Strong experience working with Microsoft Azure
- Practical experience managing Kubernetes (AKS or equivalent) preferred
- Experience supporting or integrating with Databricks in a cloud environment preferred
- Proficiency in Python for automation, scripting, and tooling
- Solid experience working with Linux operating systems
- Understanding of CI/CD pipelines and modern Dev Ops practices
- Experience building scalable, secure, and observable platforms
US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future.
What’s In It For YouIn keeping with the values of the Markel Style, we strive to support our employees in living their lives to the fullest at home and at work.
- We offer competitive benefit programs that help meet our diverse and changing environment as well as support our employees’ needs at all stages of life.
- All full-time employees have the option to select from multiple health, dental and vision insurance plan options and optional life, disability, and AD&D insurance.
- We also offer a 401(k) with employer match contributions, an Employee Stock Purchase Plan, PTO, corporate holidays and floating holidays, parental leave.
Markel is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of any protected characteristic. This includes race; color; sex; religion; creed; national origin or place of birth; ancestry; age; disability; affectional or sexual…
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