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f5 networks singapore pte ltd is seeking a Senior Site Reliability Engineer to lead automation across a global, multi-datacenter infra. You will build internal tools, Ansible playbooks, and CI/CD pipelines to reduce toil and enable self-service at scale.
The role emphasizes Python/Go-based tooling, Kubernetes operations, and PCI-DSS compliant environments, with on-call rotation and deep problem-solving responsibilities.
We are looking for a Senior Site Reliability Engineerthat leads withkindness, andpossessesa strong software development background to join our Infrastructure Engineering team. Your primary focus will be building automation, tooling, and internal platforms that enable our team tooperatea global, multi-datacenter infrastructure spanninga growing number ofPoints of Presenceacross the globe. Deep familiarity with production infrastructure -- bare-metal hypervisors, containerized workloads, Kubernetes clusters, and cloud platforms -- is essential, but your primary lens shouldbe onautomation and code.You will develop internal tools and APIs in Python and Go,designandmaintainAnsible automation across hundreds of hosts, build CI/CD pipelines, and create self-service interfaces that reduce toil andeliminatemanual operations. You will work within a PCI-DSS compliant environment andparticipatein a 24x7 on-call rotation.
Responsibilities:
Design and develop internal tools, CLIs, and APIs (primarily in Go and Python) that enable infrastructure self-service, automate complex workflows, and improve operational efficiency
Build integrations between infrastructure systems -- connecting CMDB/IPAM (NetBox), secrets management (HashiCorpVault), hypervisor APIs (Proxmox), monitoring platforms, and CI/CD pipelines into cohesive automated workflows
Develop andmaintainAPI clients and libraries for interacting with infrastructure services (ProxmoxAPI, Vault API,NetBoxAPI,iLORedfish, container registries)
Write well-tested, documented, and maintainable code with proper versioning, release processes, and code review practices
Architect, develop, and refactor Ansible roles and playbooks across a large-scale inventory spanning 30+ datacenters, 80+ group variable files, and 40+ roles
Design reusable, composable Ansible role patterns that scale cleanly as the DC footprint grows -- new DCs should be deployable with minimal variable additions
Improve idempotency, error handling, and test coverage across the existing Ansible codebase
Develop custom Ansible modules, plugins, and lookup plugins where upstream modulesmay be insufficient (e.g., custom Vault integration,ProxmoxAPI interactions,iLOautomation)
Automate bare-metal server lifecycle end-to-end: fromiLObootstrap through OS installation, hypervisor configuration, VM provisioning, and service deployment
Design, write, and maintain GitLab CI pipelines for infrastructure automation, including multi-stage deployment workflows with linting, validation, canary testing, and regional rollout
Build pipeline patterns for safe infrastructure changes: staged rollouts, automated rollback, drift detection, and change validation
Create reusable pipeline templates and shared CI components thatstandardisehow infrastructure changes are tested and deployed
Implement automated testing for Ansible roles and infrastructure changes(molecule, ansible-lint, integration testing in epic environments)
Develop automation for self-hosted Kubernetes cluster lifecycle management: provisioning, upgrades, scaling, and disaster recovery
Build andmaintaincontainer image build pipelines, registry management, and image promotion workflows
Create Kubernetes operators or controllers (in Go) where custom automation of cluster-level concerns is needed
Automate workload deployment patterns, including Helm chart development andGitOpsworkflows
DevelopIaCand automation for AWS and Azure resources, integrating cloud infrastructure with on-premises systems
Build automation that spans hybrid environments -- coordinating deployments across bare-metal,virtualized, and cloud targets from a unified pipeline
Instrument internal tools and automation with proper logging, metrics, and tracing
Build automated remediation workflows that respond to monitoring alerts and reduce mean time to recovery
Develop reporting and dashboards that provide visibility into infrastructure state, automation success rates, and toil metrics
Identifyand automate away recurring operational toil; track and quantify toil reduction over time
Automate PCI-DSS compliance workflows including CIS benchmark hardening, audit evidence collection, and configuration drift detection
Build automated secret rotation pipelines usingHashiCorpVault
Develop security scanning integration into CI/CD pipelines (container image scanning, infrastructure configuration validation)
5+ years of experience in an SRE, DevOps, or Infrastructure Engineering role with a strong emphasis on writing code and building automation
Proficiencyin Python, with experience building CLI tools, APIs (Flask/FastAPIor equivalent), and automation frameworks
Expert-level Ansible skills: custom role development, module/plugin authorship, complex Jinja2 templating, inventory management at scale, and CI/CD integration
Solid Linux systems knowledge (RHEL/CentOS) -- you need to understand the systemsyou'reautomating at a depth that lets you debug failures and design robust automation
Experience building andmaintainingCI/CD pipelines (GitLab CI preferred) for infrastructure automation, not just application builds
Production experience with self-hosted Kubernetes: cluster operations, controller/operator development, and workload automation
Practical AWS and Azure experience with anIaCmindset -- provisioning and managing cloud resources through automation, not console clicks
Experience with API-driven infrastructure management (RESTful APIs, Redfish/iLO, hypervisor APIs)
Familiarity withHashiCorpVault or equivalent secrets management platforms, including programmatic integration
Understanding of PCI-DSS requirements as they apply to automated infrastructure management -- audit trails, change control, hardening automation
Strong software engineering fundamentals: version control workflows, code review, testing practices, documentation, and release management