Platform Engineer & Cloud Ops Engineer

IndiaRemoteFull-timemid

EngineeringDevops Engineer

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Quick Summary

Requirements Summary

3+ years of experience in cloud infrastructure, platform engineering, or DevOps for Platform Engineer-level roles,

Technical Tools

EngineeringDevops Engineer

This role focuses on building, operating, and continuously improving secure, reliable cloud platforms across multi-cloud environments. You will bridge platform engineering, cloud operations, automation, and cybersecurity to support resilient infrastructure and data protection. The position offers opportunities to work extensively with GCP, AWS, Kubernetes, Terraform, CI/CD, observability, and service mesh technologies. At the senior level, you will influence platform architecture, technical standards, reliability, cost optimization, and disaster recovery. You will also mentor engineers and collaborate with distributed teams and technical stakeholders. The role is ideal for an experienced cloud professional who combines strong hands-on expertise with architectural thinking and operational ownership.

Lead the architecture, deployment, and evolution of complex multi-cloud environments across GCP and AWS, covering networking, compute, storage, IAM, load balancing, and multi-environment infrastructure design.
Define scalable platform standards and reusable engineering patterns, including Terraform modules, Kubernetes cluster blueprints, golden paths, and consistent deployment practices across development, staging, and production environments.
Provision, configure, maintain, and automate cloud infrastructure using Infrastructure as Code, with Terraform as the primary technology and CloudFormation or ARM where appropriate.
Design, operate, and support production-grade Kubernetes platforms, preferably GKE, including upgrades, autoscaling, node pools, namespaces, RBAC policies, and application deployment standards using Helm and Kustomize.
Support and manage service mesh capabilities such as Istio for traffic management, mutual TLS, observability, and security, while promoting safe and consistent application delivery.
Build and maintain GitLab CI/CD pipelines for infrastructure and application delivery, automating operational processes and reducing manual effort.
Monitor platform health and performance using Datadog metrics, logs, traces, alerts, and SLOs, while troubleshooting complex issues, supporting incident response, and contributing to post-incident reviews.
Own platform reliability, scalability, capacity planning, and disaster recovery design, maintaining runbooks and dashboards and participating in or leading on-call operations.
Drive cloud cost optimization and FinOps practices through right-sizing, governance, and ongoing evaluation of cloud consumption and infrastructure efficiency.
Mentor junior and mid-level engineers, provide technical direction, review designs, and communicate architectural decisions clearly to technical and business stakeholders.
Collaborate effectively with global, cross-functional, and distributed teams to deliver platform initiatives and continuously improve operational practices.

Requirements

~2 min read

3+ years of experience in cloud infrastructure, platform engineering, or DevOps for Platform Engineer-level roles, or 8+ years of experience with leadership or architect-level responsibilities for Senior Platform Engineer-level roles.
Deep, hands-on expertise with GCP and/or AWS, including services such as Compute Engine, GKE, VPC, Storage, IAM, Load Balancing, EC2, EKS, and S3.
Strong production Kubernetes experience, preferably with GKE architecture, cluster upgrades, autoscaling, node pools, RBAC, Helm, and Kustomize.
Expert-level Terraform experience, including reusable modules, multi-environment Infrastructure as Code, remote state, and infrastructure consistency.
Proven experience developing and supporting CI/CD automation at scale, particularly with GitLab pipelines.
Strong knowledge of observability and monitoring practices, including metrics, logs, traces, alerting, and SLO management with platforms such as Datadog.
Experience with Istio and service mesh concepts including traffic management, mTLS, observability, and security.
Strong troubleshooting and problem-solving skills, with the ability to diagnose complex cloud, infrastructure, and platform issues.
Clear communication and collaboration skills, with the ability to work effectively across global and cross-functional teams and communicate technical decisions to different audiences.
A proactive and ownership-oriented mindset, with the ability to balance hands-on engineering, strategic thinking, operational priorities, and continuous improvement.
Experience with GitOps tools such as ArgoCD or Flux, progressive delivery techniques, FinOps, cloud cost optimization, Python, Go, Bash, Linux administration, Vault, Packer, service catalogs, or self-service platforms is advantageous.
Experience working in regulated environments such as HIPAA, SOC 2, or ISO 27001 is a plus.
Relevant certifications such as Google Professional Cloud Architect, AWS Solutions Architect Professional, or Certified Kubernetes Administrator (CKA) are valued.