AI Platform Adoption Engineer - Run

Job Summary
Owns the integration of the clients existing CICD toolchain into Flowsource wiring Jenkins GitHub Actions Azure Pipelines AWS CodePipeline GCP Cloud Build and Bitbucket Pipelines into the Flowsource master pipeline templates with embedded quality security and resilience gates Responsible for the DORA metrics dashboard surface inside Flowsource Kubernetes integration across EKS AKS GKE and FinOps visibility via Apptio Cloudability Progressively transitions pipeline BAU to the clients DevOps team
Responsibilities
Key Responsibilities Build and maintain Flowsource master pipeline templates language aware multi stage with embedded SonarQube quality gates SAST SCA security scans and deployment promotion logic Wire the clients CICD systems Jenkins GitHub Actions Azure Pipelines AWS CodePipeline GCP Cloud Build Bitbucket Pipelines into Flowsource so every pipeline run is observable governed and DORA instrumented Configure and maintain Kubernetes deployment integrations to EKS AKS and GKE clusters used by the client standardise manifest generation Own the DORA metrics dashboard inside Flowsource accuracy of deployment events lead time capture change failure rate computation Integrate Apptio Cloudability for FinOps visibility so engineering leadership sees cost trends alongside deployment metrics Partner with Security and Compliance Engineer to keep policy as code enforcement consistent across all pipeline templates Transition pipeline BAU operations to the clients DevOps team over the engagement lifecycle especially Medium to Large Required Skills and Experience 8 plus years DevOps build and release engineering experience deep CICD pipeline as code expertise across at least two systems Hands on experience with at least one major cloud provider Azure AWS GCP including managed Kubernetes Strong scripting Bash Python PowerShell and YAML pipeline authoring Working knowledge of containerisation image registries and supply chain hygiene signing SBOM Familiarity with DORA metrics instrumentation and FinOps fundamentals Flowsource Tooling and Tech Stack CICD Jenkins GitHub Actions Azure Pipelines AWS CodePipeline GCP Cloud Build Bitbucket Pipelines Quality SCA SonarQube security scanner integration points Kubernetes EKS AKS GKE container registries on each cloud FinOps Apptio Cloudability Provisioning Morpheus environment provisioning workflows Flowsource pipeline templates and DORA dashboards Success Metrics Percentage of registered applications running on Flowsource master pipeline templates DORA deployment frequency and lead time movement across onboarded teams Pipeline success rate and mean pipeline duration Zero unscanned production deployments security gate compliance FinOps dashboard accuracy and adoption by engineering leadership Provide your feedback on BizChat Explain DORA metrics dashboardHow to integrate Apptio Cloudability

Skills
Python, Git, AWS, Azure, GCP, Kubernetes, Jenkins

Experience
8+ yrs

Work arrangement
Hybrid