6 of 6 Contract Secrets Management Jobs in Sheffield

production environments Translate business and technology requirements into actionable platform engineering roadmaps Own Kubernetes architecture decisions including cluster design multitenancy ingress service mesh secrets management observability upgrade strategies and workload onboarding Establish GitOps CICD automation and configuration management standards Provide technical leadership for Kafka and EventDriven Architecture … adoption Define Kafka governance partitioning strategies resiliency patterns schema management monitoring and capacity planning Guide engineering teams on microservices architecture domain design resiliency API contracts and operational readiness Improve developer experience through selfservice capabilities templates golden paths and platform tooling Embed SecuritybyDesign identity management vulnerability management auditability ...

focusing on accessible design, reusable components, and efficient state management. Design and maintain Kubernetes deployments on AKS, including manifests, ingress configuration, autoscaling, configuration and secrets management, service-to-service communication, and rollout/rollback patterns. Implement and maintain DevSecOps practices using Azure DevOps, building CI/CD pipelines … incident response and post-incident improvement activities. Embed security by design through secure coding practices, threat modelling, role-based access control and least privilege, secrets management including Key Vault integration, and modern identity patterns using OAuth2 and OIDC. Coach and uplift engineers across the stack by leading code ...

identity providers (Okta, Azure AD, Ping Identity). * Familiarity with Kubernetes (GKE RBAC + workload identity). * Experience using Secret Manager, Vault, or other secrets management tools. * Knowledge of compliance frameworks (SOC2, ISO 27001, PCI, HIPAA). Education * Bachelor's degree in computer science, Engineering, Information Security ...

components, design spikes, performance fixes). ETL orchestration & data movement Design and develop robust ETL pipelines orchestrated in Apache Airflow, including scheduling strategies, dependency management, retries, backfills, and processing. Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability. Drive … data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning and operational ...

reusable design patterns, and platform guardrails. Kubernetes Platform Leadership: Own the end-to-end Kubernetes ecosystem, including cluster topology, multi-tenancy, ingress, service mesh, secrets management, observability, and seamless workload onboarding. Event-Driven Architecture: Direct the adoption and governance of Apache Kafka, covering partitioning strategies, schema management … creating self-service golden paths, developer portals, and automated platform capabilities. Security & Operational Resilience: Implement Security-by-Design principles, policy-as-code, vulnerability management, and robust RBAC. Ensure production readiness across multi-region, high-availability environments. Stakeholder Engagement: Collaborate across Product, Cyber Security, SRE, and CTO domains to influence ...

enhance database operations.Your new role As a Python Developer, you will be responsible for building scalable automation solutions and APIs that support database management operations and deployment activities. You will work across modern cloud-native and containerised environments, helping to improve efficiency, reliability, and operational effectiveness. Key responsibilities Design … develop and maintain automation solutions for database operations and rollouts. Build and integrate APIs to support database management operations and automation workflows. Troubleshoot automation issues across scripting, APIs and containerised environments. Containerise and deploy applications and services using Docker and Kubernetes. Administer Kubernetes resources, including Pods, Ingress, Services, Secrets ...