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DevOps Engineer - AWS, IaC, Kubernetes, SRE expertise

Location:
New York City, NY
Posted:
May 04, 2026

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Resume:

Navya Venkataramanappa DevOps Engineer

Connecticut *************@*****.*** +1-203-***-**** LinkedIn SUMMARY

DevOps Engineer with 3.5+ years of experience in AWS cloud infrastructure, automation, and platform engineering. Expertise in Infrastructure as Code (Terraform, CloudFormation), Kubernetes (EKS), Docker, and CI/CD pipelines

(Jenkins, GitHub Actions, GitLab CI/CD). Proven ability to design and deploy scalable, highly available, and secure cloud architectures. Strong background in Site Reliability Engineering (SRE), including SLIs/SLOs, incident management, root cause analysis (RCA), and performance optimization. Hands-on experience in cloud migration, DevSecOps practices, security governance, and enterprise monitoring using Prometheus, Grafana, CloudWatch, and ELK Stack. Demonstrated success in improving system reliability, reducing downtime, optimizing cloud costs, and accelerating deployment cycles through automation and continuous improvement. TECHNICAL SKILLS

Cloud Platforms AWS (EC2, EKS, ECS, Lambda, S3, RDS, Aurora, DynamoDB, Redshift), Azure, GCP Networking & Security VPC, Subnets, Route Tables, IAM, Security Groups, NACLs, VPN, VPC Peering Infrastructure as Code Terraform, CloudFormation

CI/CD & DevOps Tools Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline Containers & Orchestration Docker, Kubernetes (EKS), Helm Configuration Management Ansible

Programming & Scripting Python, Bash, PowerShell, SQL Monitoring & Logging Prometheus, Grafana, CloudWatch, ELK Stack Databases PostgreSQL, MySQL, Aurora, DynamoDB, Redshift Messaging & Eventing SNS, SQS

DevSecOps IAM, Secrets Management, Secure CI/CD, Vulnerability Scanning Version Control Git (GitHub, GitLab)

Operating Systems Linux

Methodologies Agile, SDLC, SLA/SLO

EXPERIENCE

DevOps Engineer March 2025 – Present

Accenture New York

Established and governed multi-account AWS environments using IAM, SCPs, and security best practices, ensuring enterprise-wide compliance, scalability, and operational consistency

Architected and managed highly available Kubernetes (EKS) platforms, optimizing cluster performance, autoscaling, and resource efficiency for production-grade workloads

Built centralized observability and alerting frameworks using CloudWatch, Prometheus, Grafana, and ELK, significantly improving incident detection and reducing MTTR

Led cloud cost optimization initiatives through infrastructure right-sizing, autoscaling policies, and storage lifecycle management, delivering measurable cost reductions

Championed platform engineering initiatives by building reusable internal developer platforms (IDPs), reducing environment provisioning time by over 60% and improving developer productivity

Implemented policy-as-code frameworks (OPA/Gatekeeper, AWS Config Rules) to enforce compliance and governance automatically across cloud environments, reducing audit findings and manual intervention

Drove SRE best practices adoption, including SLIs/SLOs and error budgets, improving service reliability and aligning engineering efforts with business priorities

Directed incident response and root cause analysis (RCA) for critical production issues, implementing preventive measures to enhance system reliability and resilience

Spearheaded large-scale cloud migration initiatives using Terraform and CloudFormation (IaC), successfully migrating 15+ on-prem applications to AWS while reducing downtime by 40% and configuration errors by 85%

Designed and optimized CI/CD pipelines using Jenkins, GitLab, Kubernetes, and Helm, enabling zero-downtime deployments and accelerating release cycles by 35%

Developed automation solutions for deployments and data pipelines using Python, AWS Lambda, Glue, and Docker, improving system reliability, security, and time-to-market by 40% DevOps Engineer (Intern) August 2024 – February 2025 Accenture New York

Automated backup and disaster recovery processes using AWS Backup, S3 lifecycle policies, and cross-region replication, ensuring compliance with defined RPO/RTO objectives and high data durability

Managed and optimized Linux-based production environments, performing patching, troubleshooting, and performance tuning across EC2 instances and containerized workloads

Collaborated cross-functionally with development and SRE teams to resolve CI/CD and infrastructure issues, reducing deployment failures and enhancing pipeline stability

Implemented monitoring and alerting solutions (Prometheus, Grafana, ELK), reducing incident response time (MTTR) by 40%

Enforced IAM least-privilege access controls and implemented secrets management solutions, strengthening security posture across multi-account AWS environments

Drove cloud cost optimization initiatives through resource right-sizing, auto-scaling strategies, and continuous monitoring, achieving measurable infrastructure cost savings

Developed comprehensive technical documentation and operational runbooks, improving system transparency, accelerating onboarding, and enhancing incident response readiness DevOps Engineer August 2021 – August 2023

Mphasis India

Engineered and optimized CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline, accelerating deployment cycles by 40% and improving release reliability

Automated multi-environment infrastructure provisioning leveraging Terraform modules, CloudFormation, AWS CDK, Bicep, and Ansible, ensuring scalable and consistent deployments

Designed and operated highly resilient AWS architectures (EC2, S3, RDS, Lambda, VPC, CloudFront), delivering 99.99% uptime for enterprise-grade applications

Implemented containerized microservices platforms using Docker and Kubernetes (EKS), enabling scalable, fault- tolerant, and zero-downtime deployments

Drove SRE best practices adoption, including SLIs/SLOs and error budgets, improving service reliability and aligning engineering efforts with business priorities

Built and standardized golden AMIs and container base images, improving security posture and reducing vulnerabilities in production workloads

Optimized multi-region and disaster recovery architectures, ensuring business continuity and achieving near-zero RTO for mission-critical services

Integrated DevSecOps practices by enforcing IAM policies, KMS encryption, and network segmentation (NACLs, VPC security groups), strengthening security posture and compliance

Enhanced system performance and observability, improving application efficiency by 25% and reducing incident response time (MTTR) by 30% through advanced monitoring and alerting solutions EDUCATION

Master of Science, Computer Science

University of New Haven, West Haven, CT Aug 2023 - May 2025

Bachelor of Engineering Computer Science

Visvesvaraya technological university India Aug 2017 - July 2021 CERTIFICATIONS

Certified Guidewire Associate (Guidewire Education, PwC)

Guidewire Suite Feature Certifications (Hakuba, Flaine, Elysian, Aspen, Dobson, Garmisch, Banff)

InsuranceSuite 10 Analyst Certification (PwC Internal QA Training)

Agile QA & Product Value Certifications

Certified in Agile QA



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