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Devops Engineer with 7+ years in cloud-native & CI/CD platforms
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Assessing your cultural and operational fit
DevOps Engineer with 5+ years of experience designing, automating, and operating cloud-native and serverless platforms on AWS and Azure. Strong expertise in Terraform, CI/CD pipelines, Kubernetes, and observability using Grafana, Prometheus and CloudWatch. Proven experience supporting fintech and enterprise-scale systems with a focus on reliability, security and automation.
Loyola Institute of Technology and Science
Bachelor of Engineering (BE) · Electrical and Electronics Engineering
August 1, 2014 – June 30, 2018
Abilytics INC
DevOps Engineer
June 1, 2024 – Present
India
Yolksoft Global Technologies
DevOps Engineer
August 1, 2020 – May 1, 2024
India
Yolksoft Global Technologies
Application Support Engineer
December 1, 2018 – August 1, 2020
India
WESTERN UNION
June 5, 2026 – Present
Provisioned AWS infrastructure using env0 and Terraform, ensuring consistent and repeatable deployments across multiple environments. Deployed and supported AWS services including API Gateway, Lambda, S3, and ECS, enabling scalable and reliable application components. Configured API keys and usage plans to control API access and manage request limits. Assisted in managing SSL/TLS certificates using Venafi to secure API communications.
DRAMCASH
June 5, 2026 – Present
Provisioned serverless infrastructure using Terraform, including AWS Lambda, API Gateway, Cognito, Aurora Serverless, DocumentDB and EventBridge. Implemented automated API testing using Newman and enforced quality gates using SonarQube. Built Grafana dashboards for monitoring Lambda versions and API performance. Automated CI/CD pipelines using AWS CodeBuild, reducing manual deployments. Deployed frontend applications using AWS Amplify and S3 static hosting, enabling secure and scalable content delivery. Provisioned Aurora Serverless v2 via Terraform, utilizing "Scale to 0" to reduce costs by 60-80%. Designed and implemented a private VPC endpoint for AWS Bedrock, enabling secure AI inference from Lambda in a private subnet. Integrated AWS Bedrock with AWS Lambda to generate AI-driven responses using prompt-based foundation model invocation.
TESCO TRADING (TT)
June 5, 2026 – Present
Assisted in building scalable and immutable AWS infrastructure using Terraform and Ansible for configuration management. Created and maintained Grafana dashboards for operational visibility and reporting. Integrated Prometheus with Grafana to visualize metrics and monitor system performance. Configured Maven to automate application build processes and manage dependencies.
CAPITAL ONE BANK
June 5, 2026 – Present
Built and managed Docker containers and images, supporting containerized application deployments. Created and maintained Ansible playbooks to automate server and application configuration tasks. Troubleshot and resolved issues related to Docker builds, containers, and runtime environments. Developed and maintained Terraform configurations to automate provisioning of AWS infrastructure, including EC2, S3, and API Gateway.
MIRALABS
June 5, 2026 – Present
Provisioned Azure infrastructure using Terraform, including Virtual Machines, App Services, AKS, Azure Key Vault, Azure CDN, Azure Monitor, Application Insights, Log Analytics Workspace, Azure Database for PostgreSQL, and Cosmos DB for development environments Implemented NGINX Ingress Controller for AKS to manage external access to Kubernetes services. Created and maintained Azure DevOps pipelines to automate deployment of AKS clusters and Azure App Services. Configured monitoring and logging using Azure Monitor and Application Insights to track application performance and availability.
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across multiple companies (DRAMCASH, Western Union, Miralabs, Capital One Bank, Tesco Trading) and cloud platforms (AWS, Azure) demonstrates a broad skill set and adaptability. The consistent focus on automation, CI/CD, and cloud infrastructure aligns well with modern DevOps practices. The inclusion of AI/ML integration (AWS Bedrock) shows a forward-thinking approach, which is a strong cultural fit for innovative organizations. The candidate's progression from Application Support Engineer to DevOps Engineer also indicates a commitment to growth and learning.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on automation, efficiency, and reliability, which are critical for a DevOps role. Their experience in troubleshooting and monitoring suggests a proactive approach to operational stability. The breadth of tools and platforms used implies good adaptability and a collaborative mindset, essential for integrating with various development and operations teams.