Ankit Pramanik

DevOps Engineer

Hyderabad, Telangana, India4 yrs 5 mos experience
Highly StableAI Enabled

Key Highlights

  • Reduced deployment time by 40% through CI/CD optimization
  • Migrated 1TB+ code from SVN to GitLab with 90% automation
  • Recognized as Top Talent FY-23 for delivering 7+ enterprise projects
Stackforce AI infers this person is a Cloud DevOps Engineer with expertise in automation and security for enterprise applications.

Contact

LinkedIn

Skills

Core Skills

DevopsCloud ComputingCloud SecurityCloud MonitoringContainer OrchestrationInfrastructure Automation

Other Skills

AWSAWS CloudFormationAWS CloudWatchAmazon CloudWatchAmazon EC2Amazon EKSAmazon Elastic MapReduce (EMR)Amazon Web Services (AWS)AnsibleArgo CDAzure DevOps ServicesAzure Kubernetes Service (AKS)Big DataBootstrapBudgeting

About

I’m a results-driven Cloud DevOps | SRE | DevSecOps Engineer with 4+ years of experience delivering secure, scalable, and automated cloud infrastructure across AWS, GCP, and Microsoft Azure. At Persistent Systems, I’ve led mission-critical DevOps projects that improved delivery pipelines, reduced downtime, and drove infrastructure-as-code adoption across enterprise teams. I specialize in designing and automating CI/CD pipelines using tools like Jenkins, GitLab CI, GitHub Actions, and Azure DevOps, while ensuring cloud-native compliance with DevSecOps best practices. 🛠️ I bring end-to-end expertise across: • CI/CD automation • Kubernetes & container orchestration (EKS, GKE, AKS) • IaC with Terraform, CloudFormation & Helm • Cloud monitoring and alerting (Prometheus, CloudWatch, Grafana, ELK) • DevSecOps integration with tools like Trivy, SonarQube, and IAM policies • Scripting and automation using Python, Bash, and Linux fundamentals 💡 Highlights: • Reduced deployment time by 40% through CI/CD optimization • Migrated 1TB+ code from SVN to GitLab, achieving 90% automation • Cut Docker image size by 80% using multi-stage builds • Delivered 7+ enterprise projects, recognized as Top Talent FY-23 • Integrated container and pipeline security early in SDLC for proactive risk mitigation 🎓 Certifications: • 5× Google Cloud Certified • AWS Community Builder • Terraform Certified Expert • Working knowledge of Azure DevOps Pipelines and AKS deployments 🔍 I’m passionate about driving automation-first cultures, bridging gaps between development and operations, and securing cloud-native environments at scale. 🤝 Open to opportunities where I can help scale cloud platforms, automate everything, and enable secure software delivery. Let’s connect and build something impactful together! Also if you’re building something at the intersection of cloud, automation, and security — I’m always up for a challenge that delivers real impact. You can reach me at 📞 +91-9804019155 📧 pramanik.85849@gmail.com 🧰 Core Skills Summary for LinkedIn Skill Section (match keywords!): • AWS (EKS, ECS, RDS, S3, Lambda, IAM, VPC) • GCP (GKE, Compute, VPC, Artifact Registry) • Azure DevOps • Kubernetes ☸️ • Terraform, Helm, CloudFormation • Jenkins, GitLab CI/CD, GitHub Actions • Docker, ArgoCD, Linux, Bash, Python • Prometheus, CloudWatch, ELK • DevSecOps, Trivy, SonarQube, IAM Policies

Experience

Razor group

Developer Platform Engineer

Oct 2025 – Present · 5 mos · Hyderabad, Telangana, India · On-site

  • As a Developer Platform Engineer at Razor Group, I have been actively involved in deploying, and managing scalable DevOps solutions that support critical enterprise applications. My work primarily focuses on infrastructure automation, CI/CD pipelines, FinOps and cloud-native architectures.
  • Key Responsibilities:
  • Developed and maintained Infrastructure as Code (IaC) using Terraform for provisioning and managing AWS resources.
  • Built robust CI/CD pipelines using GitHub Actions enabling automated testing, integration, and deployment workflows.
  • Managed and deployed containerized applications using Kubernetes (EKS), ECS in production environments.
  • Worked extensively on AWS services (EC2, S3, IAM, VPC, CloudWatch, Lambda, etc.) for hosting and monitoring scalable cloud solutions.
  • Collaborated with cross-functional teams to ensure secure, reliable, and efficient system delivery across development and production environments.
  • Actively monitoring and reducing the total cloud infrastructure cost along with maintaining 20+ AWS Accounts
  • Followed industry best practices for DevOps, site reliability, and cloud security.
TerraformAWSGitHub ActionsKubernetesCI/CDDevOps+1

Persistent systems

3 roles

Lead Software Engineer (DevOps)

Promoted

Jan 2025 – Oct 2025 · 9 mos · Pune, Maharashtra, India · Hybrid

  • > Writing  Terraform and CloudFormation scripts for Infrastructure as a Code, automating the cloud infrastructure provisioning across AWS and GCP, and minimizing manual configurations by 40%
  • > Proactively monitoring and assessing third-party dependencies, including tools like Kafka, to ensure they are up-to-date and free from security vulnerabilities. Conducting regular audits to identify potential risks, applying necessary upgrades, and mitigating security flaws to maintain system integrity and compliance.
  • > Designing and implementing CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions to enable seamless code integration, testing, and deployment processes, improving deployment frequency and reducing errors.
  • > Integrated SonarQube for code quality and coverage, and Trivy for container image vulnerability scanning, ensuring secure and high-quality application delivery using industry best practices and aligning with DevSecOps principles.
  • > Reduced docker image size by up to 80% using multi stage docker build.
  • > Migrated 1Tb of code from subversion to gitlab, automated the whole process using shell script automating 90% of the tasks and saving time.
  • > Identified and remediated application vulnerabilities as part of DevSecOps best practices using security tools like and Trivy, ensuring compliance and enhancing system security.
  • > Monitoring and troubleshooting infrastructure, build failures, and deployment issues to ensure high availability and performance.
TerraformCloudFormationJenkinsGitLab CISonarQubeTrivy+2

Senior Software Engineer

Promoted

Jul 2023 – Dec 2024 · 1 yr 5 mos · Pune, Maharashtra, India · Hybrid

  • 1. Integrated AWS Cloudwatch monitoring with alarms and triggers over AWS EC2 & Loadbalancers to dynamically serve and troubleshoot in case of traffic spike or system failure
  • 2. Setting up monitoring and dashboards for applications using AWS cloudwatch
  • 3. Working towards security best practises for deploying application up in the cloud
  • 4. Migrating >1TB codebase from subversion to Gitlab using Script saving Time
AWS CloudWatchMonitoringSecurity Best PracticesCloud MonitoringDevOps

Software Engineer - DevOps

Aug 2021 – Jun 2023 · 1 yr 10 mos · Pune, Maharashtra, India · Hybrid

  • 1. Working on with Docker & Kubernetes to deploy and manage applications over GCP
  • 2. Deploying and managing data engineering pipelines written for AWS Lambdas using Terraform
  • 3. Working with Terraform workspace to create & manage infrastructure
  • 4. Managing multiple environments dev, qa, release & prod
  • 5. Deploying the product promo-nextgen from scratch to prod
  • 6. Automating Database seeding through gitlab-CI
  • 7. Managing secrets over 1Password
  • Certifications:
  • Google Cloud Certified - Professional Cloud Architect
  • Google Cloud Certified - Professional Cloud DevOps Engineer
  • Google Cloud Certified - Associate Cloud Engineer
  • Google Cloud Certified - Cloud Digital Leader
  • Hashicorp Certified - Terraform Associate
DockerKubernetesTerraformContainer OrchestrationInfrastructure Automation

Mediaagility - part of persistent systems

3 roles

Software Engineer

Apr 2022 – Apr 2022 · 0 mo

  • 1. Working on with Docker & Kubernetes to deploy and manage applications over GCP
DockerKubernetes

Asst. Software Engineer

Jan 2022 – Mar 2022 · 2 mos

  • 1. Working with Dataflow writing and upgrading Existing Dataflow Pipelines
  • 2. Working on DataFlow Test Cases using JUnit
  • 3. As a part of Infrastructure team, creating the ETL Infrastructure (Dataflow job, Pub/Sub Topix, GCS Bucket, VPC, Subnet etc) using Terraform Scripts
  • 4. Working with CI/CD Pipelines of client working actively with weekly and monthly Production pipelines
DataflowTerraform

Software Trainee

Aug 2021 – Jan 2022 · 5 mos

  • Will be working on as a DevOps Engineer & Also working in Data Engineering

Education

RCC Institute of Information Technology

Bachelor of Technology - BTech — Information Technology

Aug 2017 – Jul 2021

1% Club

Personal Finance Mastery

Jan 2025 – Present

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