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Akhilesh Ranjan Singh

Senior DevOps / Platform Engineer — GCP · Kubernetes · Terraform · CI/CD · DevSecOps

Noida, India +91-8002392976 github.com/iarsingh linkedin.com/in/iamarsingh

Summary

Senior DevOps & Platform Engineer with nearly 7 years of experience architecting and scaling cloud-native platforms across GCP, AWS, and Azure. Proven track record in Platform Engineering, Kubernetes, Infrastructure as Code, and DevSecOps — delivering self-service cloud platforms, standardized landing zones, and automated deployment frameworks that accelerate developer productivity and operational efficiency.

Skilled in driving cloud transformation using Terraform, GitOps, CI/CD, and cloud governance frameworks to improve deployment velocity, strengthen security posture, and increase infrastructure reliability. Builds observability-driven platforms with advanced monitoring, logging, and incident management to ensure high availability for mission-critical workloads. Also brings hands-on MLOps and AI Infrastructure experience — model serving, model lifecycle management, and Kubernetes-based ML platforms — as a secondary, supporting skill set.

Core Skills

Cloud Platforms

GCPAWSAzure

Infrastructure as Code

Terraform EnterpriseAnsible

Containers & Orchestration

KubernetesDockerHelmGKEHPARBACNetwork Policies

CI/CD & GitOps

JenkinsGitHub ActionsGitLab CI/CDCloud BuildArgoCDGitOpsBitbucketHarness

Security & Governance

IAMCloud ArmorWAFDevSecOpsPrisma CloudIONIXStream SecuritySAST/DAST

Observability

ELK StackPrometheusGrafanaOpenTelemetry

Programming & Scripting

PythonBashGo

Databases

PostgreSQLMySQLMongoDB

Other Tools

JFrog ArtifactoryVeeamKasten K10ServiceNowJira

MLOps & AI Infrastructure

MLflowVertex AIModel ServingModel MonitoringFastAPILLM Integrations

Experience

DevOps Engineer — Capgemini, Noida Sep 2024 – Present
  • Designed and governed enterprise-scale GCP landing zones using Shared VPC architecture, project hierarchies, remote state management, IAM governance, and policy-as-code controls.
  • Built and standardized reusable Terraform Enterprise modules for networking, IAM, Kubernetes, monitoring, logging, load balancing, and security services — reducing infrastructure provisioning effort by 70%.
  • Enabled self-service infrastructure delivery by integrating Terraform Enterprise with Git-based CI/CD, Harness, Jira, and ServiceNow, streamlining change management.
  • Administered production-grade GKE environments — node pool lifecycle, cluster upgrades, autoscaling — strengthening reliability and service availability.
  • Drove cloud cost optimization across GCP, achieving a 20% reduction in cloud spend through governance, right-sizing, and capacity planning.
  • Enhanced security and observability with Cloud Armor WAF policies, rate limiting, Adaptive Protection, OpenTelemetry instrumentation, and continuous attack surface monitoring via IONIX and Stream Security.
  • Advanced MLOps frameworks using MLflow and FastAPI, and led GitHub-to-Bitbucket migration, improving engineering productivity by 30%.
Senior Software Engineer – DevOps — Tech Mahindra, Mumbai Jul 2022 – Sep 2024
  • Drove enterprise-scale CI/CD platform engineering using Jenkins, GitHub Actions, Terraform, Docker, Kubernetes, Helm, and Ansible, improving release efficiency and deployment reliability.
  • Delivered Infrastructure as Code across GCP, AWS, and Azure using Terraform and Ansible, streamlining provisioning, configuration management, backup automation, and disaster recovery.
  • Administered highly available Kubernetes platforms with Docker and Helm, maintaining 99.9% service availability through proactive monitoring.
  • Strengthened platform security via DevSecOps controls, enterprise backup/DR, observability frameworks, and secure artifact management.
  • Managed enterprise backup and disaster recovery using Veeam and Kasten K10, ensuring business continuity across cloud-native environments.
  • Administered artifact lifecycle management through JFrog Artifactory; executed OS patch management and secrets management practices.
  • Partnered with Google Cloud, Microsoft, and AWS engineering teams to optimize platform performance and accelerate cloud transformation.
System Engineer – Cloud & DevOps — TCS, Bengaluru Sep 2019 – Jul 2022
  • Managed production Kubernetes and GKE environments supporting business-critical applications with high availability.
  • Automated CI/CD pipelines using Jenkins, Cloud Build, and Terraform, reducing deployment effort by 40% while improving consistency and delivery speed.
  • Facilitated GCP infrastructure provisioning, cloud migration, and reliability initiatives through Terraform automation, observability, and IAM governance.
  • Managed end-to-end monitoring and alerting, proactively identifying anomalies and maintaining high service availability.
  • Led incident response and resolution, coordinating cross-functional teams to minimize downtime and maintain SLA compliance.

Projects · live from GitHub

Pulled from github.com/iarsingh — full repo list on GitHub.

Education & Certifications

Bachelor of Engineering — Computer Science
RGPV, Bhopal, 2019

Verified Credentials · Credly

9 credentials
  • Professional Cloud DevOps EngineerGoogle Cloud · Expires Jun 23, 2027
  • Professional Cloud Network EngineerGoogle Cloud · Expires Dec 10, 2027
  • Associate Cloud EngineerGoogle Cloud · Expires Oct 1, 2027
  • Engineer Data for Predictive Modeling with BigQuery MLGoogle Cloud · Issued Jun 20, 2026
  • Deploy Kubernetes Applications on Google CloudGoogle Cloud · Issued Oct 16, 2024
  • Containers, K8s and Istio on IBM CloudIBM · Issued Sep 5, 2023
  • LFS169: Introduction to GitOpsThe Linux Foundation · Issued Mar 25, 2023
  • Introduction to CybersecurityCisco · Issued Feb 21, 2024
  • Software Developer Career Guide and Interview PreparationCoursera · Issued Apr 8, 2025

Synced from Credly profile.

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Getting Started with Terraform for Google Cloud Reliable Google Cloud Infrastructure: Design and Process Developing a Google SRE Culture Logging and Monitoring in Google Cloud Getting Started with Google Kubernetes Engine Architecting with GKE: Workloads Deploy Kubernetes Applications on Google Cloud Networking in Google Cloud: Routing and Addressing Trust and Security with Google Cloud Scaling with Google Cloud Operations

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