App LogoApp name
AP

Amit Pathak

Open to work4 years experience

DevOps Engineer

Indore, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

DevOps Engineer | Cloud Engineer | Site Reliability Engineer (SRE)

GitHub

Standing Rank

Rank Not Available

Developer Badges

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Skills & Technologies

21 skills
awsazuregcpkubernetesdockerhelmargocdgitopsjenkinsgithub actionsgitlab ci/cdterraformansibleprometheusgrafanaelk stackdatadogsplunkpythonbashlinux

Work Experience

DevOps Engineer

Fiftyfive Technologies

Mar 2026 - May 2026 Indore, India
  • Orchestrated application deployments to production-grade AWS EKS environments, maintaining 99.9% uptime and SLA compliance through automated monitoring and self-healing configurations.
  • Architected and executed a high-impact Proof of Concept (PoC) migration from AWS to Oracle Cloud Infrastructure (OCI), identifying infrastructure changes that projected a 25% cost optimization.
  • Spearheaded comprehensive system health observation across compute, network, disk, and memory layers, establishing proactive alerting that slashed resolution response windows and minimized production downtime.
  • Led deep-dive Root Cause Analysis (RCA) for high-severity incidents, building post-mortem action items to bulletproof critical microservices against recurring infrastructure failure modes.

DevOps Engineer

Webkorps India Pvt Ltd

Jul 2025 - Jan 2026 Indore, India
  • Provisioned, versioned, and managed multi-environment Azure infrastructure using highly modularized Terraform code, reducing environment provisioning time by 40% and eliminating configuration drift.
  • Optimized Azure Kubernetes Service (AKS) operations and microservices orchestration, tailoring scaling metrics and network ingress to safely handle a 2x increase in environment traffic.
  • Engineered unified end-to-end CI/CD workflows using Azure DevOps and GitHub Actions, shifting security checks left and streamlining container image packaging to accelerate release frequency by 35%.
  • Built robust operational automation using Python and Bash scripting, eliminating repetitive daily maintenance tasks and reclaiming 10+ engineering hours per week.
  • Configured multi-layered observability using Azure Monitor, Datadog, and OpenSearch, implementing metrics dashboards and centralized log aggregation to surface anomalies 50% faster.

Software Engineer (DevOps)

Tech Mahindra

Feb 2022 - Jun 2025 Pune/Indore, India
  • Automated infrastructure provisioning across GCP and AWS platforms using Terraform, standardizing base compute architecture, custom VPC networks, and secure IAM policies across 15+ microservices.
  • Administered production-grade Kubernetes clusters across GKE and AWS EKS, conducting regular rolling updates, cluster upgrades, horizontal pod autoscaling (HPA), and persistent storage management.
  • Built and scale-tested enterprise-wide CI/CD pipelines via Jenkins, GitHub Actions, and Google Cloud Build, slashing manual deployment intervention to zero and trimming average build-to-deploy cycles by 50%.
  • Implemented declarative GitOps workflows using ArgoCD, Docker, and Helm charts, establishing an audit-ready state and enabling instant one-click disaster recovery and rollbacks.
  • Deployed comprehensive monitoring stacks with Prometheus and Grafana, defining custom alert definitions based on Golden Signals to achieve real-time production visibility.
  • Guided cross-functional engineering squads through modernizing legacy monolithic frameworks into scalable, cloud-native containerized architectures, embedding DevSecOps principles throughout the SDLC lifecycle.

Projects

Kubernetes-Based Production MLOps Deployment Pipeline

JenkinsArgoCDKubernetesHelmPrometheusGrafana
  • Designed and executed continuous delivery workflows for machine learning applications using Jenkins and ArgoCD.
  • Maintained containerized workloads on Kubernetes clusters utilizing customized Helm packages.
  • Implemented enterprise-wide monitoring via Prometheus and Grafana to capture real-time application throughput and inference latencies, ensuring highly reliable model delivery.

Multi-Cloud Terraform Automation for Scalable AI Infrastructure

TerraformAWSGCP
  • Created robust, reusable Terraform modules to automate compute cluster configurations across AWS and GCP.
  • Standardized secure underlying VPC networking, access controls, and load balancer rule-sets.
  • Enabled seamless multi-cloud environment instantiation that cut manual cloud setup overhead by 90%.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Achievements Not Earned

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About Details

Professional Bio

Results-driven DevOps and Cloud Engineer with 4+ years of experience architecting, automating, and securing multi-cloud infrastructure. Expert in Kubernetes, Terraform, and CI/CD pipelines with a strong foundation in SRE principles and incident management.

Bachelor of Technology (B.Tech) in Electrical Engineering

Ujjain Engineering College (2017 - 2021)

Languages: English, Hindi
Amit Pathak - Profile | Swiftcruit