Rahul Adepu

Results-driven Site Reliability, DevOps, and Cloud Engineer with 3+ years delivering production reliability and automation in regulated financial services environments (Capital One). Hands-on expertise across AWS (CDK, ECS, EKS), Azure, Kubernetes/OpenShift, Terraform, Ansible, and end-to-end CI/CD pipelines. Proficient in full-stack observability using Dynatrace (APM, RUM, Davis AI) and ELK/OpenSearch, with strong grounding in SLO/SLI design, incident command (P1/P2), cloud security, cost optimization, and SQL-based production troubleshooting.

Skilled at bridging SRE reliability outcomes with DevOps velocity and cloud engineering best practices.

Site Reliability Engineer / DevOps Engineer - Capital One - Toronto, ON

(2024-09)

Embedded at Capital One

• Engineered end-to-end CI/CD pipelines using GitHub Actions and Jenkins to automate build, test, and deployment of containerized workloads to Amazon ECS, EKS, and OpenShift; integrated SonarQube quality gates and automated post-deployment validation, achieving zero critical deployment failures across Capital One production workloads.
• Managed containerized application lifecycle using Docker, Kubernetes (EKS), and OpenShift with Helm chart management; implemented rolling update and canary deployment strategies to sustain high availability during release cycles in a regulated financial environment.
• Provisioned and governed AWS infrastructure (EC2, ECS, EKS, Lambda, S3, RDS, IAM) using AWS CDK and Terraform; applied Ansible for configuration management and drift remediation, enforcing cloud security, governance, and scalability standards across Capital One's production environment.
• Designed full-stack observability using Dynatrace (APM, RUM, Synthetic, Davis AI, OneAgent, Smartscape) and ELK / OpenSearch pipelines; built service maps, tuned anomaly detection rules, managed index schemas and field extractions — sustaining 99.9% uptime across critical financial services applications.
• Implemented SLO/SLI framework with error budgets aligned to golden signals (latency, errors, traffic, saturation); continuously reviewed burn rates, configured PagerDuty alert policies to reduce noise by 30%, and cut repeat production incidents by 30% through structured RCA and reliability fixes.
• Led P1/P2 incident bridges as primary coordinator — ran SQL queries against production databases to isolate anomalies, correlated ELK logs for root cause identification, and used Dynatrace Davis AI for rapid triage; authored blameless PIRs, decision trees, and runbooks ensuring every incident produced a permanent fix.
• Enforced financial services security and compliance standards: administered IAM/RBAC, AWS Secrets Manager, HashiCorp Vault, OS patching, CVE remediation, and security hardening across Linux and Windows production environments; ensured audit readiness at Capital One.
• Cut AWS cloud spend by 25% via rightsizing, lifecycle policies, and savings plans; reduced operational toil by 40% through Python, PowerShell, and Bash automation covering alert tuning, log parsing, and playbook triggers; leveraged AI-powered tooling to enhance code quality, governance validation, and cost optimization workflows.

Associate Software Engineer — SRE / DevOps / Cloud - Accenture - India

(2021-07 - 2023-04)

• Built and maintained CI/CD workflows using Jenkins, Git, Maven, SonarQube, Nexus, and Artifactory; integrated observability and reliability checkpoints into the SDLC ensuring deployment quality across enterprise production environments.
• Administered dual-cloud infrastructure across AWS (EC2, ECS, S3, RDS, IAM, Lambda) and Azure (AKS, App Services, Entra ID); provisioned environments using Terraform, CloudFormation, Bicep, and Ansible, eliminating configuration drift and improving deployment consistency.
• Orchestrated containerized workloads on Docker, Kubernetes (EKS/AKS), and OpenShift; managed Helm charts for consistent application delivery; ensured deployments met cloud security, governance, and scalability best practices across enterprise clients.
• Operated Dynatrace APM (PurePath, Smartscape, Davis AI) and ELK/OpenSearch log analytics to identify and resolve critical performance bottlenecks; built Kibana dashboards and Grafana panels for NOC and SRE teams, improving system reliability by 30%.
• Provided 24×7 production support for enterprise applications across cloud and on-premises environments; executed SQL queries to investigate data anomalies, validate system state, and accelerate incident triage during P1/P2 incidents; maintained SLA compliance through structured escalation and post-incident documentation in ServiceNow (ITIL).
• Administered Linux (RHEL, Ubuntu) and Windows Server environments; authored Bash/shell and Python scripts for OS patching, SSL/TLS renewals, CVE remediation, health checks, and data enrichment; contributed to disaster recovery readiness, release validation, and Confluence-based operational documentation.

Post-Graduate Certificate - Cloud Computing - Loyalist College (2023-05 - 2024-09)

Bachelor of Engineering - Computer Engineering - Vidyalankar Institute of Technology (2017-06 - 2021-05)