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successfactors

Senior DevOps/Automation Engineer - IBM Z & hybrid platform

NTT DATA Services
London, GBR
Senior · 10+ years experience
Onsite
Discovered 1 weeks ago

Full Job Posting

Key Responsibilities

  • Automation Engineering & Orchestration Design and build robust automation using Python and YAML. Develop and maintain Ansible playbooks in Ansible Automation Platform (AAP) for production orchestration. Ensure idempotent, restartable and state-aware automation patterns. Integrate automation across distributed and IBM Z platforms (including z/OS job execution patterns where relevant). Implement failure handling, retry logic and operational guardrails. 2. CI/CD & DevOps Toolchain Integration Build and maintain pipelines in GitHub and Jenkins (including Groovy-based pipeline development). Embed automated compliance checks and quality gates. Integrate artefact management via Nexus Repository. Support Git based workflow design (branching strategy, pull requests, code reviews, tagging and release patterns). 3. Observability & Monitoring Design dashboards and telemetry pipelines using Grafana. Integrate logging/metrics with enterprise observability platforms (e.g. Splunk). Build automated compliance and drift dashboards. Create structured reporting for audit and operational governance. 4. Data & Persistence Design schemas and automation state handling in PostgreSQL. Implement run state tracking, job history retention, and audit evidence capture. Optimise queries and data handling for operational reliability. 5. Security & Secrets Management Implement secure secret handling using HashiCorp Vault. Integrate Vault with CI/CD and AAP workflows. Apply least privilege principles and secure credential lifecycle management. Contribute to enterprise standards for secrets, tokens and service accounts. 6. Governance, Standards & Compliance Embed compliance verification into pipelines (automated controls, evidence capture). Contribute to standards for GitHub, Jenkins, AAP and workflow governance. Support configuration drift detection and remediation automation. Ensure documentation suitable for internal risk, audit and regulatory stakeholders. Required Technical Skills Must haves DevOps Experience: minimum 10+ years of demonstrable experience including solution design, governance, compliance and the implementation of DevOps best practice IBM Z Platform: At least 2 years’ experience of working within an IBM Z environment. Experience with zOSMF and zOAU would be a distinct advantage. Experience with enterprise scale Ansible via AAP. Strong Python development knowledge (production quality code, modular design, error handling, logging, testing). PostgreSQL (schema design, performance tuning, operational usage). YAML (clean, structured automation definitions). Git and Git based CI/CD practices. Jenkins pipeline development (Groovy). Grafana dashboard development and metrics interpretation. Nexus or equivalent artefact repository management. HashiCorp Vault integration and secrets automation Technical leadership: Proven ability to mentor other engineers, provide technical guidance and embed engineering best practices across the team Technical expertise: Strong hands on experience with Github, Jenkins, Ansible Automation Platform, Nexus, Python, Hashicorp Vault and API integration Desirable z/OS workflow tooling such as IBM z/OSMF and/or Zowe CLI. Experience with enterprise schedulers (e.g., IWS patterns). Configuration drift management frameworks. API integration design. Infrastructure-as-Code governance models. Observability exporters and metrics pipelines. Experience in regulated financial environments. Engineering expectations The successful candidate will: Design automation as resilient systems, not scripts. Build restartable and observable workflows. Engineer for failure scenarios (network issues, partial job completion, region specific failure cases). Balance simplicity with production robustness. Document patterns reusable across global regions. Think in terms of architecture, not just tooling. Behavioural and leadership attributes Structured, systems level thinker. Comfortable operating in a complex enterprise estate. Able to collaborate across distributed, mainframe and infrastructure teams. Pragmatic but disciplined in standards enforcement. Comfortable engaging with risk, audit and governance functions. Drives automation by design rather than manual workarounds.

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