Cloud & DevOps Engineer - AWS, Kubernetes, CI/CD Expert

Shubham Patil

**********@*****.*** 469-***-**** https://www.linkedin.com/in/shubhampatil5

Hands-on Cloud & DevOps Engineer with 6+ years in AWS architecture, Kubernetes orchestration, CI/CD automation, and scalable Infrastructure as Code delivery.

Key Highlights

• 5+ years in Cloud, DevOps, and Infrastructure focused on AWS, Kubernetes, and container orchestration.

• Led CI/CD transformation and GitOps adoption, driving automation, zero-downtime releases, and modernization.

• Collaborated with engineering teams, architects, and leadership to deliver scalable, cloud-native solutions.

• Skilled in Well-Architected Framework, Landing Zones, IaC, DevSecOps, and cloud governance.

• Passionate about innovation, team growth, and scaling impact through strategy and execution.

• Certified Kubernetes Application Developer (CKAD), AWS Solutions Architect, and Jenkins Certified Engineer. Technical Skills

• Programming Languages/OS/Databases: Python, Golang, Bash Scripting, Linux, MySQL, PostgreSQL, Redis

• Cloud/DevOps: AWS, Microsoft Azure, Terraform, Jenkins, Argo CD, GitHub Actions, GitLab

• Containerization Tools: Docker, Kubernetes, EKS, ECS, Istio, Helm, Ingress Controller

• Observability: Prometheus, Grafana, CloudWatch, Elastic Search, Logstash, Kibana

• Tools: Git, RabbitMQ, Jira, SonarQube, Defect Dojo, Syft, Grype, Semgrep, RESTful APIs Education

• Master of Science in Information Systems – The University of Texas at Dallas, TX, United States

• Bachelor of Engineering, Computer Science – Savitribai Phule Pune University, MH, India Professional Experience

Senior DevOps Engineer – Tecfinics Sep ’24 – Present Tecfinics is a cloud managed services and digital engineering company. In this role, I own CI/CD, infrastructure as code, and observability, driving fast, reliable releases and engineering excellence.

• Built a GitLab-based CI/CD pipeline with Docker, Terraform, and Argo CD that cut deployment time by 65% and enabled 20+ zero-downtime releases per week through automated GitOps promotions.

• Containerized 25+ services with Docker and deployed them on Kubernetes, improving rollout stability and preventing issues during expected traffic increases.

• Configured Prometheus and Grafana dashboards and alerts, reducing time-to-detect production issues from 25 minutes to under 10.

• Integrated Syft, Grype, and linting checks into GitLab CI, consistently catching critical vulnerabilities and blocking them before deployment.

• Standardized Java build workflows using Maven, improving artifact consistency and reducing build failures by 30%.

• Supported two Agile teams in adopting DevOps practices by improving pipelines and release workflows, reducing their release cycle from 10 days to 3 days.

DevOps Engineer – University of Texas at Dallas Jan ’24 – May ‘24 University of Texas at Dallas is a top computer science research university. As DevOps Engineer under Professor Tejas Shroff, I contributed in cloud infrastructure and automation for cutting-edge research projects.

• Automated Lambda and DynamoDB provisioning with Terraform to support a real-time EC2 alerting dashboard, reducing manual setup effort and improving reliability.

• Developed a Python-based GitLab pipeline monitor that sends Slack alerts on failures, helping teams respond to broken builds much faster.

• Deployed Grafana Mimir to handle metric ingestion from 130+ EC2 instances, improving visibility into replication and performance tuning.

Shubham Patil

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Senior DevOps Engineer - Avaloq Sep ’21 – Aug ‘22

Avaloq is a premier wealth management software provider for global banks. In this role, I led EKS microservices deployments, AWS Well-Architected reviews and enable zero-downtime releases.

• Led 5+ AWS Well-Architected Reviews, identifying improvements that saved over $35K and strengthened overall system resiliency.

• Designed and deployed EKS-based microservices with NGINX Ingress and ALB, supporting frequent zero-downtime releases across daily deployments.

• Integrated Trivy security scans, blocking 240+ critical vulnerabilities before production and cutting security remediation cycles from 2 weeks to 48 hours.

• Implemented observability with Prometheus, Thanos, and Grafana, reducing SLA violations and improving response times during production issues.

• Centralized logs for 300+ containers using the ELK Stack, improving log correlation and cutting incident resolution time to under 30 minutes.

Software Engineer – Softman Infosolutions Jan ’20 – Aug’ 21 Softman Infosolutions is an IT services firm delivering cloud solutions. In this role, I architected high-availability AWS infrastructure for 10+ users and containerized services with Docker, saving $3.2K/month.

• Provisioned 100+ cloud resources with Terraform, reducing setup time to around 10 minutes and improving infrastructure reliability.

• Built CI/CD pipelines using Jenkins, shortening lead time and supporting 20+ application releases per week.

• Integrated SonarQube, Nexus, and JUnit into the build process, helping catch critical issues early and maintain high test coverage.

• Architected high-availability AWS infrastructure (EC2, ALB, RDS, S3) for 10K+ users, improving performance and reducing monthly costs by $3.2K.

• Centralized logs from 300+ pods using the ELK Stack, improving investigations and reducing root-cause-analysis time by nearly 50%.

Projects

Web 3-Tier File System JavaScript, Python, HTML, Flask

• Developed a highly available and cost-effective 3-tier web application for uploading, updating, deleting and downloading files in S3, accessible over the public internet through Route 53.

• Developed RESTful APIs to streamline communication between frontend and backend, facilitating future integrations and automated workflows.

• Optimized deployment readiness using Gunicorn and Nginx, ensuring high performance and simplified deployment processes.

End-to-End AWS Deployment with CodePipeline & Docker ECR, Docker, CodeBuild, IAM

• Provisioned AWS infrastructure (S3, ECR, Beanstalk) via Terraform, reducing setup time from hours to minutes.

• Enabled cross-stack application support (NodeJS, Python) using Dockerized pipelines and custom build workflows.

• Maintained fully versioned and reproducible environments, ensuring scalable and consistent deployments.

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