DevOps & SRE Leader: Cut Cloud Costs 30-45% & Incidents 90%+ for Global Financial Platforms | AWS, Kubernetes, Terraform, CI/CD | Immediate Joiner |

Bangalore

Bangalore

Bengaluru, Karnataka, India







Master of Business Administration, Finance, General
Biju Patnaik University of Technology, Odisha
Bachelor of Technology, Electrical, Electronics and Communications Engineering
biju patnaik university of technology
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Senior DevOps Engineer | SRE | Cloud Infrastructure Engineer | Platform Engineering| CNF | Immediately Available | Open to New Opportunities | AWS | Kubernetes | Terraform | Datadog | CI/CD | Jenkins I help engineering teams build reliable, cost-efficient cloud infrastructure — and sleep better at night knowing their systems are observable, automated, and secure. Over the past 7+ years, I've worked across financial services, healthcare, and legal tech platforms, specializing in AWS infrastructure, Terraform-driven automation, Kubernetes, and enterprise-grade observability with Datadog. Currently, as a Senior System Engineer at EPAM Systems supporting the London Stock Exchange Group (LSEG), I lead observability-as-code initiatives that have cut Datadog log ingestion costs by up to 45%, reduced platform incidents by 30%, and brought Datadog onboarding time down by a third for application teams. What I bring to the table: 🔹 Cloud Infrastructure & IaC — AWS (EC2, ECS, EKS, Glue, IAM, VPC) provisioned and managed through Terraform, Ansible, and CloudFormation 🔹 SRE & Observability — End-to-end Datadog implementations (dashboards, monitors, synthetics, log pipelines), CloudWatch, Prometheus, Grafana, ELK 🔹 CI/CD & Automation — GitHub Actions, Jenkins, GitLab CI pipelines that cut manual release effort and deployment errors 🔹 FinOps — A track record of 20-50% infrastructure and observability cost reductions without sacrificing reliability 🔹 Security & Compliance — IAM least-privilege, Checkmarx/SonarQube integration, NIST Terraform modules Career highlights: ✅ 35-45% reduction in Datadog log ingestion costs at LSEG through log-to-metric conversion, tag restructuring, and sampling ✅ 90%+ reduction in production outages through proactive monitoring at Thomson Reuters ✅ Zero data-loss database migrations from on-prem to AWS ✅ 40-50% monthly AWS cost reduction through optimization strategies ✅ RHCSA-certified and AWS Certified Solutions Architect – Associate I'm passionate about Observability-as-Code, FinOps, and building infrastructure that scales without breaking the bank. Open to connecting with fellow DevOps/SRE engineers, hiring managers, and anyone tackling cloud cost and reliability challenges. 📩 subrat.kp90@gmail.com
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Senior System Engineer at EPAM Systems, Jul 2020 - Jul 2026 · 6 y, Bangalore, Senior System Engineer | EPAM Systems (Jul 2020 – Present) Delivered 35-45% reduction in Datadog log ingestion costs* at LSEG through high-cardinality tag restructuring and log-to-metric conversion. Cut production outages by 90%* for Thomson Reuters via proactive Datadog/CloudWatch monitoring, ensuring platform stability. Reduced platform incidents 30%* at LSEG by resolving critical ingestion issues and alerting gaps across AWS, Datadog, and CI/CD. Achieved 40-50% monthly AWS cost reduction* for Thomson Reuters through targeted optimization strategies. Led end-to-end Datadog onboarding for LSEG application teams, resulting in 30% faster onboarding and 90% fewer config gaps*. Engineered scalable AWS test infrastructure for Thomson Reuters, yielding 40% more reliable test environments*. Deployed AWS infra via CloudFormation with TR Golden AMIs, ensuring zero downtime and 95% fewer deployment errors*. Cut Jenkins/ECS/Glue issue resolution time 30%* for Broadridge Financial Solutions through hands-on troubleshooting.* Executed zero-data-loss SQL migrations from on-prem to AWS (EC2, RDS, S3, IAM) for Thomson Reuters.
Associate Consultant at Impelsys, Apr 2019 - May 2020 · 1 y 1 mo, Bangalore, Associate Consultant | Impelsys (Apr 2019 – May 2020) Increased environment readiness by 50%* by provisioning and managing DEV, QA, Staging, and PROD environments using Docker, Kubernetes (EKS/ECS), and AWS. Reduced manual release effort by 40%* through developing and maintaining automated CI/CD pipelines using Jenkins. Cut operational overhead and errors by 30%* by automating repetitive operational tasks using Shell scripting. Implemented ELK Stack for application log monitoring, configuring automated archival to Amazon S3 and reducing storage costs by [X]%*. * Set up comprehensive Datadog monitoring, integrating AWS CloudWatch, Apache, Jira, and Pingdom for full-stack visibility across [N] applications.
DevOps Engineer at TCS, Aug 2018 - Apr 2019 · 9 mos, Bengaluru, Karnataka, India, I played a pivotal role in enhancing TCS's cloud infrastructure and deployment processes. • Managed AWS services including EC2, RDS, and S3, ensuring optimal performance and security. • Configured Ansible for system orchestration and configuration management, streamlining operations. • Developed CI/CD pipelines with Jenkins and Maven, significantly improving deployment efficiency.
Master of Business Administration, Finance, General, Biju Patnaik University of Technology, Odisha
Bachelor of Technology, Electrical, Electronics and Communications Engineering, biju patnaik university of technology