Module Lead - Python
- Happiest Minds
- 5 - 8 years
- Singapore
- 23 hours ago
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Job Description
Senior DevOps Engineer (SRE)Years of Experience: 5-8 Years
Job Summary: We are seeking a highly skilled Senior DevOps Engineer with a strong background in CI/CD, Kubernetes, and cloud infrastructure management on Google Cloud Platform (GCP). The ideal candidate will be responsible for designing, implementing, and maintaining automated software delivery pipelines, managing Kubernetes clusters, and ensuring the reliability and security of our cloud infrastructure. This role requires a proactive approach to problem-solving and a commitment to continuous improvement in engineering practices.
Responsibilities:
- Design, implement, and maintain CI/CD pipelines using GitHub Actions to enable fast, safe, and automated software delivery.
- Manage and maintain Kubernetes clusters on GCP (GKE), including workload deployments, scaling, resource optimization, and cluster lifecycle management.
- Author and maintain Helm charts for packaging and deploying microservices across multiple environments (dev, staging, production).
- Implement and govern Kubernetes deployment strategies ? including rolling updates, blue/green deployments, and canary releases ? to minimize downtime and risk.
- Build and maintain Docker images; enforce container best practices including image hardening, layer optimization, and secure base images.
- Own cloud infrastructure automation on GCP using Terraform ? including writing reusable modules, managing remote state, and handling workspace-based environment separation.
- Configure and manage proxy infrastructure (forward/reverse proxies, load balancers, ingress controllers) and ensure correct network routing for internal and external traffic.
- Design and enforce networking policies within Kubernetes (Network Policies, service meshes) and across GCP VPCs.
- Instrument applications and infrastructure for observability using Dynatrace ? including APM, dashboards, anomaly detection, and alerting.
- Manage incident response processes: on-call rotations, runbooks, post-mortems, and continuous improvement to reduce MTTR.
- Collaborate with development teams to define SLOs, SLIs, and error budgets; enforce reliability standards across services.
- Maintain and contribute to Confluence wikis and Jira project boards for documentation, runbooks, sprint planning, and incident tracking.
- Evaluate and recommend tooling, platforms, and process improvements to increase engineering productivity and system resilience.
- Enforce security best practices across infrastructure including secrets management (Vault, GCP Secret Manager), RBAC, and compliance controls.
Mandatory Skills:
- CI/CD & Version Control: GitHub Actions, Git, branching strategies, pull request workflows, code review practices.
- Containerization: Docker ? image creation, multi-stage builds, container registry management.
- Kubernetes: Kubernetes basics, Helm, deployment models (rolling, blue/green, canary), Identity Management (LCM/RBAC), CRDs.
- Cloud Platform (GCP): Google Kubernetes Engine (GKE), Cloud Run, IAM, Cloud Storage, GCP - GCS, Secret Manager, Google cloud Monitoring and Logging, Pub/Sub.
- Infrastructure as Code & Terraform: Terraform (modules, workspaces, state management, remote backends); Cloud automation on GCP; IAC practices with version-controlled IaC.
- Networking & Proxy: Transmission Control Protocol (TCP), DNS, TLS, ingress controllers, forward/reverse proxies, service mesh basics (Istio/Linkerd).
- Observability: Dynatrace APM, distributed tracing, metrics, log aggregation, alerting & dashboarding.
- Microservices Architecture: Microservices, API gateway patterns, inter-service communication (REST/gRPC).
- Deployment Strategies: Deployment models (rolling updates, blue/green, canary, feature flags for zero-downtime releases).
- Atlassian Suite: Jira (sprint/backlog/incident tracking), Confluence (wiki, runbooks, documentation).
- Scripting & Automation: Proficiency in Scripting for automation, tooling, and custom operators.
- Security & Compliance: secrets management, image scanning, network policies, Identity Management (LCM/RBAC), audit logging.
Preferred Skills:
- Experience with service mesh solutions such as Istio or Linkerd.
- Familiarity with multi-cloud environments (AWS, Azure Cloud) in addition to GCP.
- Knowledge of chaos engineering practices (LitmusChaos, Chaos Monkey).
- Experience with ArgoCD, FluxCD, or other GitOps tooling for Kubernetes.
- Exposure to SRE practices as defined by the Google SRE Book (error budgets, toil reduction).
- Certifications: CKA/CKAD (Kubernetes), GCP Professional DevOps Engineer, or equivalent.
- Familiarity with ELK (Elasticsearch) or Grafana for complementary observability.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: DevOps Consultant / ArchitectEmployement Type: Full timeContact Details:
Company: Happiest MindsLocation(s): Singapore
Keyskills: kubernetes continuous integration release ci/cd helm docker microservices cloud scripting elastic search java git iam gcp devops bigquery architecture cd rest python github elk version control azure cloud grafana cloud storage terraform cloud infrastructure management basic aws
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