Chambers and Partners
Overview Join Chambers and Partners as a Senior DevOps Engineer and play a pivotal role in shaping the future of our technology platforms. We're looking for a high-calibre engineer with deep Infrastructure as Code (IaC) expertise to architect, scale and secure our cloud infrastructure, enabling world-class software and data engineering teams to deliver at pace with confidence. Main Duties and Responsibilities
- Strict IaC Management: Define, version, and manage multi-cloud GPU and CPU infrastructure strictly through modular, reusable Terraform.
- GitOps & GitFlow: Enforce rigorous GitFlow branching strategies, code reviews, and automated deployment practices for all infrastructure changes.
- Azure DevOps Pipelines: Design, build, and maintain secure, high-speed CI/CD pipelines within Azure DevOps to automate code promotion and MLOps workflows.
- Incident Management: Lead the response, containment, and resolution of critical platform outages, serving as a primary escalation point for high-priority cloud and infrastructure incidents.
- Proactive Problem Solving: Diagnose complex, low-latency platform bottlenecks, performance regressions, and cloud-to-cloud networking issues, implementing permanent structural fixes to prevent recurrence.
- Third-Party Operational Coordination: Act as the direct engineering point of contact for external support teams, actively collaborating on active incident tickets, complex escalations, and day-to-day infrastructure maintenance.
- Cross-Functional Communication: Document complex technical architectures clearly and articulate system requirements, post-mortems, and engineering strategies effectively to both technical and non-technical stakeholders.
- AI/ML Platform Automation: Architect and maintain highly available MLOps platforms across AWS and Azure environments.
- Developer Enablement: Build self-service infrastructure tools, deployment templates, and continuous training/inference pipelines to eliminate friction.
Why you should apply
We offer an encouraging and collaborative environment, forward-thinking team that views every technical roadblock not as a headache, but as an exciting puzzle to solve. If you love pushing the boundaries of automation and want to turn your intellectual curiosity into production-level reality, this is the place for you.
Skills, Experience & Personal Attributes
- Platform Experience: Demonstrable DevOps experience, with a proven focus on building software engineering platforms or AI/ML infrastructure.
- IaC Mastery: The successful candidate must demonstrate advanced proficiency in Infrastructure as Code (IaC), with a track record of building and maintaining complex cloud environments through automated, version-controlled infrastructure. Deep expertise in Terraform and cloud-native provisioning frameworks is essential, along with experience implementing CI/CD-driven infrastructure deployment pipelines.
- Tooling Expertise: Production-level experience managing GitFlow workflows and native CI/CD execution inside Azure DevOps.
- Cloud Mastery: Proven, production-level expertise managing enterprise-grade infrastructure on both AWS and Azure environments. The ideal candidate will possess deep hands-on expertise in designing, deploying, securing, and managing cloud-native and hybrid solutions using Azure services, while driving automation, scalability, reliability, and operational excellence.
- Problem Solving & Incident Response: Exceptional analytical skills with a track record of troubleshooting complex distributed systems and managing high-pressure production incidents.
- Third-Party Operational Collaboration: Hands-on experience working directly alongside external engineering providers, co-operating on joint troubleshooting sessions and complex infrastructure handoffs.
- Communication Skills: Excellent written and verbal communication skills, with a demonstrated ability to write clear documentation and collaborate across engineering teams.
- Ecosystem Knowledge: Hands-on experience supporting software delivery and MLOps tooling (e.g., Kubernetes, Kubeflow, MLflow, Triton, Docker, or SageMaker/Azure ML)
Equal Opportunity Statement
We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change.
Applicants who identify as Disabled and/or Neurodiverse will be entitled to an interview if they meet the minimum criteria as specified in the Job Description, additionally we will offer reasonable adjustments to those who require them. Some examples of reasonable adjustments are extra time in assessments, video interviews to combat travel-based issues and advice on expected interview topics/questions.
About Us Chambers is the leading legal data and intelligence partner for lawyers, firms, and in-house teams.
We conduct over 350,000 research interviews and surveys with in-house counsel every year, and receive 62,000 submissions from 9,000 firms worldwide, giving us unrivalled insight into the legal sector.
This research powers Chambers Rankings – the definitive guide to the best legal talent – and our Intelligence, which delivers the insights helping firms and in-house teams to succeed.
Our independent, rigorous research identifies the exceptional and charts the path to success, enabling legal professionals to see with clarity, decide with confidence, and plan with ambition.
To apply for this job please visit www.reed.co.uk.
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