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SU
Platform Engineer & Cloud Ops Engineer
Sutherland · Remote, TS, India
About The Role
KEY RESPONSIBILITIES
Platform Architecture & Strategy (Senior-focused)
- Lead the architecture and deployment of complex multi-cloud solutions (GCP/AWS), including networking, compute, storage, and multi-environment design.
- Define platform standards and reusable patterns (e.g., Terraform modules, cluster blueprints).
- Evaluate emerging cloud technologies to enhance cloud strategy and roadmap.
- Drive cost optimization and FinOps practices, including right-sizing and governance.
- Own platform reliability, scalability, capacity planning, and disaster recovery design.
Infrastructure Provisioning & Automation
- Deploy, configure, and manage cloud infrastructure across GCP and AWS.
- Write and maintain infrastructure as code (Terraform primary; CloudFormation/ARM where applicable).
- Maintain multi-environment infrastructure consistency (dev, staging, prod).
- Automate provisioning, configuration, and operational tasks to reduce manual toil.
Kubernetes & Container Platform
- Design, operate, and support production-grade Kubernetes clusters (GKE preferred).
- Manage upgrades, autoscaling, node pools, namespaces, and RBAC policies.
- Own Helm/Kustomize standards for application deployment.
- Support or manage service mesh (Istio) for traffic management, mTLS, observability, and security.
- Define and promote golden paths for safe and consistent app deployment.
CI/CD, Monitoring & Operational Support
- Build and maintain GitLab CI/CD pipelines for infrastructure and application delivery.
- Monitor platform health using Datadog — metrics, logs, traces, SLOs, and alerts.
- Troubleshoot issues, support incident response, and lead post-incident reviews (senior).
- Maintain runbooks and dashboards; lead or support on-call rotations.
Leadership & Collaboration (Senior-focused)
- Mentor junior and mid-level engineers, set technical direction, and review designs.
- Collaborate effectively with global, cross-functional, and on/offshore teams.
- Communicate architecture decisions clearly to technical and business stakeholders.
TECH STACK
Required:
- Cloud Platforms: GCP (Compute Engine, GKE, VPC, Storage, IAM, Load Balancing), AWS (EC2, EKS, VPC, S3, IAM)
- Kubernetes: GKE architecture, upgrades, Helm/Kustomize, autoscaling, RBAC
- Infrastructure as Code: Terraform (multi-environment, reusable modules, remote state)
- CI/CD: GitLab pipeline development and support
- Monitoring: Datadog (metrics, logs, traces, alerting, SLOs)
- Service Mesh: Istio (traffic management, mTLS, observability)
Good to have:
- GitOps tools (ArgoCD, Flux)
- Cloud FinOps tooling and cost optimization experience
- Scripting languages (Python, Go, Bash)
- Vault, Packer, service catalogs, and self-service platforms
- Experience in regulated environments (HIPAA, SOC 2, ISO 27001)
REQUIREMENTS
Must have:
- Platform Engineer: 3+ years in cloud infrastructure/platform or DevOps engineering.
- Senior Platform Engineer: 8+ years, with leadership or architect-level responsibilities.
- Deep, hands-on expertise with GCP and/or AWS cloud platforms.
- Strong Kubernetes production experience, preferably GKE.
- Expert-level Terraform skills with reusable modules and multi-env IaC.
- Proven CI/CD automation experience at scale.
- Ability to troubleshoot complex cloud environment issues.
- Collaborative teamwork mindset with clear communication skills.
Nice to have:
- Certifications: Google Professional Cloud Architect, AWS Solutions Architect Professional, Certified Kubernetes Administrator (CKA).
- Experience with GitOps and progressive delivery techniques.
- Prior FinOps or cloud cost optimization role experience.
- Scripting for automation and Linux system administration background.
HOW SUCCESS IS MEASURED
- Platform reliability: uptime and SLO achievement for shared services.
- Automation coverage and manual toil reduction.
- Adoption and enforcement of platform standards and self-service deployment paths.
- Cloud cost efficiency achieved through optimization.
- Timely and successful delivery of platform initiatives and projects.
- Mean time to recovery (MTTR) for platform-impacting incidents.
All your information will be kept confidential according to EEO guidelines.
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