Platform Engineer & Cloud Ops Engineer

About the job

This is a fully remote job, open to people in India.

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.