Senior DevOps Engineer GCP Company: MandaapX Employment Type: Full-time Work Location: Remote, India Working Hours: 5:30 PM to 1:30 AM IST Seniority Level: Senior Level (5+ Years Experience) MandaapX is a forward-thinking IT consulting company committed to transforming how organizations operate and scale. We blend cloud-native technologies, robust engineering practices, and intelligent systems to deliver real-world business outcomes. We partner with enterprises and fast-growing startups to engineer future-ready technology, focusing deeply on Cloud Computing, Full-Stack Engineering, Salesforce Solutions, and AI/Data Engineering. With a highly specialized global team, we design resilient, secure, and scalable digital ecosystems that help businesses adapt and lead in their respective industries. Role Overview: We are seeking a Senior DevOps Engineer with 5+ years of experience to lead and elevate our cloud infrastructure, continuous delivery pipelines, and reliability practices. In this role, you will play a pivotal role in designing, building, and managing the foundational infrastructure across our production-grade Google Cloud Platform (GCP) ecosystem. As a technical authority and thought leader, you will collaborate with cross-functional software engineering teams to design cloud-native architectures that meet demanding performance, scalability, and security requirements. You will set engineering standards, establish SRE paradigms, mentor team members, and build frictionless, self-healing platforms while supporting hybrid or multi-cloud environments. Key Responsibilities: GCP Infrastructure, Operations & FinOps Design, deploy, and manage scalable, highly available GCP infrastructure across Compute Engine, GKE, Cloud Run, Cloud SQL, BigQuery, Pub/Sub, Cloud Armor, and Cloud Storage. Implement and maintain complex VPC architectures, firewall rules, Cloud NAT, Shared VPC, and Private Google Access configurations. Lead FinOps initiatives and cost optimization strategies using committed use discounts, rightsizing, budget alerts, resource labeling, and capacity planning. Infrastructure as Code (IaC) & Automation Build and maintain all infrastructure using Terraform, enforcing strict modular, reusable, and DRY code conventions. Manage Terraform state in GCS backends with proper state locking, workspace management, and automated policy enforcement. Automate environment provisioning and CI/CD workflows using GitHub Actions with systematic plan, validate, and apply stages. Containerization, Kubernetes, & GitOps Design and manage Google Kubernetes Engine (GKE) clusters, including node pools, autoscaling, and workload configurations. Build, optimize, and maintain Docker images (multi-stage builds) and container registries (Artifact Registry / GCR). Implement Kubernetes best practices including namespaces, RBAC, network policies, resource quotas, pod security standards, and GitOps deployments via Helm charts. SRE, Observability, & Incident Management Monitor infrastructure health using Cloud Monitoring, Cloud Logging, and proactive alerting policies, integrating cloud-native monitoring with Datadog for end-to-end observability (APM, metrics, tracing). Drive SRE principles by establishing SLOs, SLIs, and Error Budgets across core services. Participate in on-call rotations, lead high-priority incident response efforts, conduct Blameless Post-Mortems, and implement self-healing mechanisms. Security, Identity, & Compliance Enforce GCP security best practices including VPC Service Controls, Security Command Center, Binary Authorization, and GCP Organization Policies. Manage Identity and Access Management (IAM), service accounts, Workload Identity Federation, and least-privilege policies. Manage secrets via Secret Manager, enforce encryption at rest and in transit, and align systems with FERPA, NIST, SOC 2, and CIS benchmarks. Leadership, Documentation, & Collaboration Partner with software engineers to design cloud-native architectures that meet performance and scalability requirements Produce and maintain clear infrastructure documentation, architecture diagrams, and runbooks. Participate in on-call rotations and respond to infrastructure incidents Mentor team members on GCP services and cloud engineering best practices Requirements & Qualifications This role requires a hands-on approach to problem-solving. Candidates must demonstrate clear grasp of the following fundamental concepts, supported by practical, real-world examples of their prior work. 5+ years of hands-on experience with Google Cloud Platform in a production environment. Deep knowledge of core GCP services: Compute Engine, GKE, Cloud Run, Cloud SQL, Cloud Storage, BigQuery, Pub/Sub, Cloud Armor, and VPC networking. Strong proficiency with Terraform for infrastructure as code; experience managing modules and remote state. Solid experience with Kubernetes cluster management, workloads .
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