Key Responsibilities

Design, implement, and manage scalable, secure, and resilient cloud infrastructure on GCP.
Architect, deploy, and maintain Kubernetes environments using Google Kubernetes Engine (GKE).
Build, optimize, and manage automated CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Google Cloud Build.
Develop and maintain Infrastructure as Code (IaC) solutions using Terraform and related automation frameworks.
Implement and enhance monitoring, logging, observability, and alerting solutions to ensure platform reliability.
Define and drive Site Reliability Engineering (SRE) best practices, including SLIs, SLOs, and error budgets.
Lead incident management, root cause analysis (RCA), problem management, and disaster recovery initiatives.
Optimize cloud infrastructure performance, availability, scalability, and cost efficiency.
Ensure adherence to security, compliance, and governance standards across cloud environments.
Collaborate with development teams to improve deployment processes, release management, and application reliability.
Mentor and guide DevOps and SRE engineers while promoting automation and operational excellence.

Required Skills & Qualifications

10+ years of experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, or Platform Engineering.
Strong hands-on expertise with Google Cloud Platform (GCP) services, including:
- Compute Engine
- Google Kubernetes Engine (GKE)
- Cloud Functions / Cloud Run
- Cloud Storage
- BigQuery
- Pub/Sub
- IAM
- VPC Networking & Security
Extensive experience with:
- Kubernetes
- Docker
- Terraform
- Helm
- Ansible
Strong experience implementing and managing enterprise-scale CI/CD pipelines.
Proficiency in scripting and automation using Python, Bash, Go, or Java.
Strong understanding of Linux systems administration, networking concepts, and cloud security best practices.
Experience with monitoring and observability tools such as Prometheus, Grafana, ELK Stack, Datadog, Splunk, or Google Cloud Operations Suite.
Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

Experience with multi-cloud or hybrid cloud environments.
Hands-on knowledge of service mesh technologies such as Istio.
Experience implementing GitOps practices using tools such as ArgoCD or Flux.
GCP Professional Certifications (Professional Cloud Architect, Professional DevOps Engineer) are highly preferred.
Experience leading technical teams and driving cloud transformation initiatives.

Synectics APAC

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