We are looking for an experienced Senior DevOps Engineer to support production readiness and deployment of an Agentic Executive Scorecard. The client already operates a proven CI/CD process, so this is a deliberately specialist role rather than a traditional end-to-end DevOps position: the primary focus is defining and implementing how the application itself is deployed — most likely to an Azure Container App or a Databricks App - and ensuring its microservice-style components are packaged, deployed, monitored and operated reliably within the client's existing platform, CI/CD and governance standards. The ideal candidate has strong hands-on experience developing and deploying containerised, microservice-type applications, and is comfortable integrating into an established enterprise CI/CD pipeline rather than building from scratch.
Responsibilities
- Define and implement the deployment architecture for the application, most likely an Azure Container App or a Databricks App, in collaboration with the client's IT team
- Package and deploy microservice-style application components (APIs, orchestration services, front-end) as containerised workloads
- Integrate deployments into the client's existing CI/CD pipelines and promotion process, rather than building CI/CD from scratch
- Configure environment separation, scaling, networking and secrets management appropriate to the chosen deployment target
- Implement production monitoring, logging and alerting to take the solution reliably through Dev/Test/Prod
- Work closely with Software Engineers and the Lead AI Engineer to ensure backend, orchestration and front-end components are deployment-ready
- Support non-functional testing, release readiness, and path-to-production activities alongside the QA Engineer
- Define operational controls for reliability, performance and incident response in production
- Support secure access patterns and role-based controls aligned with the client's platform and governance requirements
- Contribute to technical documentation, handover materials, and knowledge transfer for operations
- Strong hands-on experience developing and deploying microservice-style, containerised applications in production
- Direct experience deploying applications to Azure Container Apps and/or Databricks Apps (or comparable serverless/managed container platforms)
- Experience integrating application deployments into an existing enterprise CI/CD pipeline - this is not a build-from-scratch CI/CD role
- Solid understanding of containerisation (Docker), environment promotion, and release management
- Experience with monitoring, logging and alerting tooling for production services
- Working knowledge of secrets management, RBAC and secure access patterns in Azure and/or Databricks
- Comfortable working directly with client IT/platform teams to align on deployment standards and constraints
- Familiarity with Git-based workflows and collaborative engineering practices
- Experience supporting production-grade AI or data platforms in enterprise environments
- Strong troubleshooting, communication, and stakeholder management skills
- Familiarity with Databricks Apps specifically, as distinct from general Databricks workloads
- Exposure to Azure DevOps as the consuming CI/CD platform
- Experience in FMCG/CPG or other regulated enterprise environments
- Exposure to QA automation and non-functional testing in cloud-native systems
