Aniket Patil

About Aniket Patil

Innovative and results-driven DevOps Engineer with over 4.5+ years of experience in building, automating, and optimizing scalable deployment pipelines for cloud-native applications. Proven expertise in AWS, Kubernetes, CI/CD, and Infrastructure as Code (IaC) tools such as Terraform and Ansible. Skilled in enhancing system performance, security, and reliability through advanced DevSecOps practices and automation strategies.I specialize in:• Implementing robust CI/CD pipelines using Jenkins and Teamcity, reducing deployment times by 40%.• Deploying highly available, scalable applications in Kubernetes (EKS) with auto-scaling(Karpenter) and zero-downtime strategies.• Leveraging monitoring tools like Datadog, Prometheus and Grafana to maintain 99.9% uptime for critical services.• Driving security-first deployments by integrating tools such as SonarQube, Trivy, and OWASP best practices.I am passionate about driving operational excellence, collaborating with cross-functional teams, and leveraging cutting-edge technologies to solve complex challenges. Open to global opportunities that require innovative DevOps solutions, cloud infrastructure expertise, and a commitment to continuous improvement.

Experience

1. Engineering Lead

   Persistent Systems

   Jan 2025 — Present · Pune, IN

   Infrastructure Provisioning: Architected and deployed AWS infrastructure using Terraform, including EKS, RDS, ALB/NLB, ACM, Route 53, EC2, IAM roles, Glue,Glue data connections,Firehose and Secrets Manager with randomly generated passwords. Ensured communication by managing interdependent security groups and IAM configurations.Managed secrets which creates random password.also create EC2 key pair and store it in SSM-Parameter store as we have read only access for production account.Setup Karpenter for autoscaling of eks nodegroups based on traffic/load in production.CI/CD Automation: Built GitHub Actions pipelines to automate Terraform deployments, enabling version-controlled, consistent infrastructure rollouts across non-prod and prod environments.Cloud-Native Modernization: Led the migration of legacy desktop-based applications to a cloud-native architecture, improving scalability, security, and deployment velocity.Streaming & Real-Time Data: Deployed a containerized real-time data ingestion pipeline using AWS data Firehose to collect high-frequency (2-second interval) data from scientific instruments and store it reliably in S3.Optimizing Workloads: Tuned and managed container orchestration on both Amazon EKS and HashiCorp Nomad to enhance application performance, availability, and observability.Security & Compliance: Implemented least-privilege IAM policies and fine-grained access controls to secure communication between AWS services, Kubernetes workloads, and client-facing applications.Collaboration & Data Enablement: Worked closely with data engineering and analytics teams to support real-time, high-availability data pipelines for downstream analysis and visualization.

Education

• D.I.E.M.S

  Bachelor of Engineering (BE), Electronics and Communications Engineering

  2012 — 2016