Headline

DevSecOps & SRE Automation Engineer with almost 8 years exp. JAVA, Python, EKS, Kubernetes, Terraform, and GitOps. Skilled in MLOps | AI/ML workload | LLM inference on Kubernetes | CI/CD automation with APM

About

Results-driven IT professional with almost 8 years of experience in enterprise production support, infrastructure operations, incident management, and application support within large-scale environments. Currently working as an IT Specialist with strong exposure to troubleshooting mission-critical applications, system monitoring, operational support, patching, deployments, and cross-functional collaboration. Experienced in handling SEV1/SEV2 incidents, performing root cause analysis (RCA), monitoring application and infrastructure health, and supporting distributed enterprise systems in 24x7 environments. Skilled in Linux administration, networking fundamentals, Splunk log analysis, Grafana/Prometheus monitoring, CloudWatch dashboards, and operational troubleshooting. Actively building expertise in DevOps and Site Reliability Engineering (SRE) with hands-on exposure to AWS, Kubernetes, Docker, CI/CD pipelines, Terraform, microservices, Kafka, and automation using Python and Shell scripting. Strong understanding of production reliability, observability, cloud infrastructure, deployment strategies, and operational excellence. Passionate about solving complex production issues, improving system stability, reducing MTTR, and contributing to scalable, high-availability platforms. Technical Skills: • Cloud: AWS (EC2, VPC, CloudWatch, IAM) • DevOps/SRE: Kubernetes, Docker, Terraform, CI/CD • Monitoring: Splunk, Grafana, Prometheus, CloudWatch • OS & Networking: Linux, DNS, TCP/IP, Load Balancing • Programming: Java, Python, Shell Scripting • Concepts: Microservices, Incident Management, RCA, Kafka Open to opportunities in: Site Reliability Engineering (SRE) | DevOps Engineering | Production Support | Cloud Operations | Platform Engineering

Location

Bengaluru

AI stack

antigravity

claude code

claude

github copilot

Work experience

EUS Application Engineer at Docusign, Jul 2026 - Present · 3 mos, Bengaluru

Information Technology Specialist at Volkswagen Group Digital Solutions [India], Apr 2025 - Jul 2026 · 1 yr 4 mos, Gurugram, • Managed production reliability and operational excellence for enterprise-scale applications supporting critical manufacturing systems, ensuring 99.9% uptime and adherence to SLA/SLO targets. • Designed and implemented CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment time by 40% and minimizing manual errors. • Managed Kubernetes-based platform (AWS EKS) supporting cloud-native and AI/ML workloads, implemented GPU-aware node scheduling, resource quotas, and horizontal pod autoscaling to support high-throughput inference services alongside existing microservices. • Implemented Infrastructure as Code using Terraform to provision and manage AWS resources, reducing deployment time by 40% and minimizing configuration errors. • Implemented GitOps-based deployment strategy using ArgoCD and Helm for Kubernetes applications including ML model serving containers enabling automated, version-controlled rollouts and instant rollback for model updates across environments. • Designed and managed Helm charts for Kubernetes deployments, improving reusability and consistency across environments • Automated configuration management and server provisioning using Ansible playbooks, reducing manual effort and configuration • Integrated ArgoCD with CI/CD pipelines to enable continuous deployment and faster rollback mechanisms • Extended Prometheus and Grafana observability stack to monitor AI/ML workload metrics including model inference latency, request throughput, and GPU/CPU utilization configured alerting for SLO breaches on latency-sensitive services. • Implemented Apache Kafka-based asynchronous communication between microservices for real-time event processing • Executed SSL/TLS certificate management, HTTPS configuration, and secure application access. • Automated provisioning of AWS EKS clusters and EC2 instances using Terraform, enhancing scalability and reducing manual intervention in infrastructure management.

Senior Software Engineer at Volkswagen Group Digital Solutions [India], Dec 2022 - Apr 2025 · 2 yrs 5 mos, Gurugram, Haryana, India

Associate Consultant at Capgemini, Aug 2021 - Dec 2022 · 1 yr 5 mos, Noida, • Managed production operations and reliability for enterprise Java/Spring MVC applications deployed in high-availability environments • Troubleshot complex production incidents, analyzed application logs, and optimized application performance • Worked closely with Dev and QA teams for release deployments and hotfixes. • Integrated enterprise systems and ensured reliable end-to-end data flows • Used Splunk and Jenkins for monitoring, troubleshooting, and deployments

System Engineer at Tata Consultancy Services, Feb 2019 - Aug 2021 · 2 yrs 7 mos, Mumbai, • Developed and maintained enterprise Java applications supporting critical financial systems • Performed unit testing, integration testing, and production deployments. • Provided L3 production support, RCA, and defect fixes.

Education

Bachelor of Technology (BTech), Computer Science and Information Technology, Mahatma Jyotiba Phule Rohilkhand University (MJPRU), Bareilly

12th PCM, The Aditya Birla Public School, CBSE Board, Renukoot

Public links

github: https://github.com/AyushDevOps012