Headline

Senior Platform Engineer @JP Morgan Chase | Sr. DevOps| Sr. SRE | MLOPS | Kubernetes CKA | AWS | Python | Terraform | Building Scalable Infrastructure for AI & Modern Applications

About

🚀 Senior Platform Engineer | DevOps| SRE | AWS Cloud Specialist | Kubernetes | Automation | Python | IaC 🌟 👋 Hello! I'm Ajit, a Senior DevOps Engineer with 11 years of diverse experience in the IT industry. I specialize in driving DevOps excellence and have a proven track record of success in architecting, automating, and optimizing mission-critical solutions for multinational companies. 💡 Expertise & Specializations: ✅ AWS Cloud Infrastructure & Services: From EC2 and Lambda to EKS, Fargate, and RDS, I've mastered AWS services that enable highly scalable and resilient architectures. ✅ DevOps Strategy & Implementation: My expertise in CI/CD pipelines, Configuration Management, IaC, and automation ensures seamless software delivery and performance optimization. ✅ Kubernetes: I've led the migration of Docker and Kubernetes containerized applications from EC2 to EKS-Fargate clusters, with the ability to scale from 100 to 14,000 pods within 15 minutes during load bursts. ✅ Database Management: Proficient in managing a wide array of databases, including Hadoop, MySQL, RDS, DocumentDB, Cassandra, Redis, and Elastic Cache, with seamless migrations and zero downtime. ✅ Networking & Security: Adept at networking troubleshooting on Linux and AWS, along with robust Linux troubleshooting skills. I've also implemented robust security measures using AWS GuardDuty, Terraform Vault, and more. 🔧 Technical Proficiencies: Languages: Python, Bash Tools & Technologies: AWS, Terraform, Ansible, Jenkins, Git, Bitbucket, Docker, Kubernetes, CI/CD 🌟 My Value Proposition: I empower organizations to not only accelerate software delivery but also achieve unparalleled scalability, security, and cost-efficiency. My accomplishments include: ✅ Architecting highly scalable Kubernetes-based applications on AWS. ✅ Migrating legacy systems from data centers to the AWS cloud. ✅ Successfully managing multiple databases for diverse projects. ✅ Implementing in-house monitoring and alerting systems, which resulted in a substantial $140k cost savings. ✅ Enhancing security measures, replacing SSH access with AWS Systems Manager (SSM), and managing complex infrastructure with Terraform and Ansible. 🎯 Let's Connect: If you're seeking a seasoned DevOps professional who can navigate complex migrations, drive automation, and ensure top-tier security, let's connect!

Location

Pune City

AI stack

anthropic apis

claude

github copilot

kiro

githubcopilot

Microsoft Copilot

Work experience

Lead Platform Engineer at JPMorganChase, Aug 2024 - Present · 2 y, Pune District, Maharashtra, India, Led the end-to-end migration of a JPMC sister company into the JPMC ecosystem as part of a 1.5-year enterprise transformation program, covering infrastructure, networking, CI/CD, security, databases, and application modernization. Partnered with Enterprise Architects to define the target-state hybrid architecture, migration milestones, and technical roadmap, presenting architecture decisions during Architecture Review Board (ARB) meetings. Coordinated cross-functional teams across networking, security, cloud engineering, database, and application teams to execute enterprise migration activities with minimal business disruption.

Sr. DevOps Engineer at Nice North America, Jun 2021 - Aug 2024 · 3 yrs 3 mos, Pune Division, Maharashtra, India, I am a key member of the core DevOps team at Nice North America, responsible for end-to-end DevOps,MLOps activities for two subsidiaries. Our primary focus is on developing AI-based video analytics solutions designed specifically for OEMs and large integrators. Our product suite includes advanced AI/ML engines such as Face Recognition, License Plate Detection, Video Summary Engine, and Video Analytics Engine. These solutions are available as both cloud-based SaaS products and on-premises deployments, catering to diverse customer needs. Responsibilities and Achievements: AWS Environment Management: Owned and operated a large-scale, complex AWS environment with 22 consoles, 350+ EC2 servers, and 7 Kubernetes clusters, ensuring high availability (HA) and performance. Acted as the primary point of contact for 5 AWS accounts. Infrastructure Integration: Integrated AWS accounts with centralized Ops & Networking accounts using Terraform Cloud and Transient Gateway (TGW). Kubernetes Autoscaling: Innovated Kubernetes autoscaling for AI/ML production workloads using Keda. CI/CD Pipeline Migration: Transitioned CI/CD Jenkins pipelines to Bitbucket pipelines, enhancing efficiency, security, and reliability. Improved CI/CD security by integrating Snyk for vulnerability scanning. Automation and Cost Savings: Automated DevOps tasks with 10+ Python-powered Lambda functions. Logging and Monitoring: Redesigned centralized logging and monitoring systems Database Migrations: Executed database migrations (MySQL, Cassandra, MongoDB) Security Enhancements: Replaced SSH-based access with AWS Systems Manager (SSM), enhancing security and management efficiency. Cost Optimization: Redesigned innovative CI/CD solutions, resulting in approximately $28k/year in savings. Initiated an in-house logging and monitoring system, saving approximately $190k per year.

DevOps Engineer at Miba Group, Jul 2018 - May 2021 · 2 yrs 11 mos, India, During my tenure at MIBA Engineering Center India (MEC), I played a pivotal role in designing, deploying, and supporting highly scalable cloud-based applications. My key contributions included: Ensuring uninterrupted operations and minimizing system failures through robust architecture and controls. Implementing Kubernetes cluster security using IAM and RBAC, troubleshooting various aspects of applications, containers, networking, and security. Orchestrating Machine Learning Pipelines using KubeFlow and Lambda triggers. Setting up cluster-level monitoring and logging using CloudWatch, Prometheus, Grafana, and Kibana. Demonstrating expertise in container networking, storage interfaces, Kubernetes architecture, HA, and resource management. I led Proof of Concepts (POCs) to determine optimal deployment strategies and successfully migrated applications from on-premises to AWS cloud. Throughout my tenure, I emphasized problem-solving, leadership, and effective communication. I tackled complex challenges, optimizing performance and efficiency while fostering a collaborative team environment.

Cloud Engineer at Tata Technologies, Jul 2016 - Jul 2018 · 2 yrs 1 mo, Pune Division, Maharashtra, India, As an AWS Cloud Engineer at Tata Technologies, I focused on AWS cloud infrastructure services and Hadoop cluster administration. My key responsibilities included: Configuring, deploying, and maintaining Hadoop clusters and ecosystem components. Gained in-depth understanding of the Hadoop Ecosystem, including HDFS, YARN, Hive, Kafka, and Spark. Implemented data governance with authentication, authorization, and encryption mechanisms. Proficiently conducted Linux kernel tuning using shell scripts and Ansible to optimize performance. In addition to my technical contributions, I demonstrated problem-solving skills, leadership, and effective communication. I excelled in a multifaceted role, emphasizing cost optimization and continuous learning.

Education

Bachelor's degree, Engineering, Savitribai Phule Pune University