Sumit S.

Sumit S.

India
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About Me

Lead DevOps Engineer with 8+ years of experience designing and operating cloud-native, distributed systems on AWS, including 5+ years managing production-grade Kubernetes deployments at scale. S. S. brings expertise in Terraform, Ansible, CI/CD, and Docker, with strong programming in Python, Bash, and Golang. Proven track record of building internal platforms, improving system reliability to 99.9%+ uptime, and enabling multi-team environments through automation and observability. Passionate about Platform Engineering with a focus on Kubernetes-based systems and AI-driven DevOps, experienced in end-to-end MLOps pipeline orchestration, model deployment, and ML observability.

AI, ML & LLM

Containerization MLFlow Airflow

Backend

Java Python

Database

MySQL

DevOps

CI/CD EC2 Prometheus AWS Kubernetes Docker Terraform Jenkins Grafana CloudWatch

Workflow

Git GitHub Actions GitOps

Other

Linux EKS Lambda VPC DataDog Kinesis ECS Distributed Systems Configuration Management Incident Management Security Compliance Governance Golang Bash Ansible Splunk Kubeflow Argo CD Microservices

Work history

Useful BI
Lead DevOps Engineer
2024 - 2026 (2 years)
Remote

  • Designed and built cloud-based platform components on AWS enabling 15+ teams to provision isolated environments, databases, and IAM securely via Python-driven automation

  • Designed and deployed end-to-end ML training pipelines on Kubernetes using Argo Workflows, reducing model release cycle time by 40%

  • Led Kubernetes platform operations managing production-grade deployments across multiple microservices, ensuring 99.9%+ availability and zero-downtime releases using GitOps

PythonAWSKubernetesTerraformGitHub Actions LinuxMicroservicesPrometheusGitOpsMLFlow Argo Workflows GrafanaCloudWatchOpensearch
EPAM Systems
Senior Devops Engineer
2022 - 2024 (2 years)
Remote

  • Designed and deployed large-scale distributed systems on AWS using Kubernetes and Terraform, supporting enterprise workloads across multiple environments

  • Provisioned and managed GPU-enabled Kubernetes node pools on AWS using Terraform, supporting distributed model training workloads

  • Architected a centralized log aggregation system using CloudWatch Metric Streams, Kinesis Data Firehose, and Splunk, handling millions of events per day

AWSPythonGolang TerraformKubernetesJenkinsIncident ManagementSplunkCloudWatchKinesisCI/CD
Opstree Solutions
Devops Specialist
2021 - 2022 (1 year)
Remote

  • Developed Ansible-based configuration management solutions for provisioning golden AMIs and managing infrastructure consistency across environments

  • Implemented platform observability using Prometheus and Grafana across EC2, ECS, and EKS clusters

  • Developed automated remediation services using Python and AWS Lambda to respond to security threats and misconfigurations

AWSPythonTerraformAnsibleObservability CI/CD PrometheusGrafanaDataDogLambdaEC2 ECSEKS
DXC Technology
Devops Engineer
2018 - 2020 (2 years)
Remote

  • Built and operated containerized microservices using Docker and ECS, supporting scalable backend workloads

  • Developed secure, hardened base images for Python and Java services, integrating vulnerability scanning into CI/CD pipelines

  • Built hardened Docker base images for Python and Java with integrated security scanning, reducing vulnerabilities by 70%

AWSDockerTerraformKubernetesCI/CD MySQLECSPythonJava

Education

Education
Bachelor of Technology (B Tech) CSE
GGSIPU
2013 - 2017 (4 years)
Education
AWS Certified Cloud Practitioner - Foundational
Education
HashiCorp Certified: Terraform Associate
Education
AWS Certified Solutions Architect – Associate