DevOps Engineer

Bharath

*****@**********.*** Tel: 703-***-****

Senior DevSecOps Engineer

Summary:

●IT experience with almost 9 years in DevOps, Platform Engineering, and Cloud Infrastructure, specializing in designing and operating scalable, highly available systems and building self-serve platforms that enable fast and reliable software delivery across the full SDLC.

●Strong experience implementing end-to-end CI/CD pipelines, release automation, and Infrastructure as Code (IaC) for containerized and microservices-based enterprise and SaaS applications.

●Expertise in cloud-native architecture on AWS, managing Kubernetes clusters, distributed systems, and compute-intensive workloads supporting data and AI/ML use cases.

●Hands-on experience with Terraform, Docker, Kubernetes (EKS), GitHub Actions, Jenkins, ArgoCD, Helm, and Bash/Python scripting for automation and platform engineering.

●Designed and implemented self-service deployment frameworks and developer platforms, enabling engineering teams to provision environments, deploy releases, and manage infrastructure independently.

●Managed AWS services including EC2, ECS/EKS, ALB/NLB, Route53, ECR, S3, Batch, CloudWatch, IAM, Secrets Manager, and VPC networking, with focus on scalability, reliability, and security.

●Managed multiple AWS accounts with multiple VPCs for both production and non-prod, where primary objectives included automation, build-out, integration, and cost control.

●Managed AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing, and Glacier for QA and UAT environments and infrastructure servers for GIT and Chef.

●Maintained DNS records using AWS Route53. Used Amazon Route53 to manage DNS zones and give public DNS names to Elastic load balancers (ELB) IPs.

●Implemented data warehouse solutions in AWS Redshift, worked on various projects to migrate data from on-premise databases to AWS Redshift, RDS, and S3.

●Built and optimized Kubernetes-based platforms with autoscaling, rolling updates, container orchestration, and GPU/compute-efficient workloads for high-throughput applications.

●Experienced in cost optimization strategies, including right-sizing infrastructure, autoscaling, and workload scheduling, reducing cloud spend significantly while improving performance.

●Administered secure environments using IAM, RBAC, secrets management, container scanning, and DevSecOps practices to ensure compliance and secure deployments.

●Experience with Maven, Gradle Git, Bitbucket, Jenkins, Ansible, Chef, Docker, AWS, and Shell scripting.

●Worked on Blue/Green deployment strategy by creating new applications which are identical to the existing production environment using CloudFormation templates and Route53 weighted record sets to redirect traffic from old environment to the new environment via DNS

●Expertise in configuration and management tools Saltstack and Ansible to automate repetitive tasks, quickly deploy critical applications and proactively manage changes.

●Experience in Unix/Linux system administration, Server Builds, System builds, Installations, Upgrades, Migration, Patches, and Troubleshooting on RHEL and CentOS.

●Administered and implemented continuous integration (CI) tools like Jenkins and Hudson for automated builds and managing the continuous deployment (CD) pipeline.

●Implemented monitoring and observability solutions using Prometheus, Grafana, CloudWatch, and centralized logging stacks, improving system reliability and reducing incident response time.

●Deep understanding of DevOps best practices, GitOps workflows, CI/CD automation, immutable infrastructure, and blue/green & rolling deployments.

●Experience working in Agile/Scrum environments, collaborating with cross-functional teams, mentoring engineers, and leading platform initiatives.

Educational Qualifications:

●Master of Science in Electrical Engineering

California State University, Los Angeles

Certifications:

●AWS Certified – Solution Architect (Associate)

Technical skills:

DevOps skillset

Automation, CI/CD, Infrastructure as Code, Build & Release

DevOps Stack

Java Stack, HashiCorp Tools, Atlassian Tools, ISTIO

Cloud

AWS (Expert), Azure (Knowledge), GCP (Knowledge)

CI/CD Tools, Build Tools

Jenkins, Terraform

Version Control Tools

GIT, Bitbucket

Configuration Management

Saltstack, Chef, Ansible, Puppet

Monitoring Tools

Nagios, Splunk, ELK, Cloud Watch, Grafana, Datadog

Container Tools

Kubernetes, Docker

Scripting

Bash/Shell, Python, JSON, YAML

Build & Repo Management

Maven and Artifactory

Deployment

Jenkins, Woodpecker

Databases

MySQL, Redshift, MongoDB, AWS RDS, Cassandra

Application Servers

Apache Tomcat 5.x/7.x, Web Sphere, Web Logic, Gunicorn, Supervisor, PM2

Web Servers

Apache HTTP, Nginx, Apache TOMCAT

Operating Systems

Red Hat Linux, Unix, Ubuntu, Debian, CentOS, Windows, Mac OS

PROFESSIONAL EXPERIENCE:

Barclays, San Jose, CA

August 2022 - Till Date

Senior DevOps Engineer

Responsibilities:

●Designed, implemented, and operated scalable cloud-native infrastructure and CI/CD platforms on AWS and Kubernetes, enabling reliable deployments across 100+ microservices and supporting 50+ engineers.

●Optimized AWS infrastructure costs through autoscaling, rightsizing, workload scheduling, and spot/ephemeral compute strategies, achieving $200K+ annual savings and improving resource utilization.

●Authored 200+ pages of runbooks, architecture diagrams, and operational documentation, improving onboarding speed and establishing consistent operational standards.

●Led mentorship and technical leadership initiatives, guiding junior engineers on IaC, CI/CD, and cloud best practices while driving platform adoption across teams.

●Built self-service CI/CD frameworks using Jenkins (Groovy), GitHub Actions, and GitOps practices, empowering development teams to independently build, test, and deploy applications while reducing release cycles by 40%.

●Architected and maintained Infrastructure as Code using Terraform, SaltStack, and Ansible, creating standardized, repeatable deployment patterns adopted by 20+ teams and improving release consistency and reliability.

●Led migration of legacy workloads to containerized and orchestrated environments (Docker, Kubernetes/EKS, ECS/Fargate, Nomad/Consul), modernizing 50+ pipelines and 30+ services to cloud-native architectures.

●Developed platform automation and provisioning frameworks to spin up environments on-demand, reducing cluster setup time from days to hours and accelerating experimentation for engineering and data teams.

●Implemented observability and reliability solutions using Prometheus, Grafana, Alertmanager, CloudWatch, and ELK, building dashboards and proactive alerting that improved MTTR by 30% while maintaining 99.9%+ SLA.

●Built reproducible local development and test environments using Docker Compose and cloud replicas, eliminating QA bottlenecks and enabling faster feedback cycles.

●Designed secure DevSecOps pipelines with Vault secrets management, SonarQube, container scanning, and IAM/RBAC controls to enforce security best practices across all environments.

●Implemented Blue/Green, Canary, and rolling deployment strategies, minimizing downtime and risk during production releases for enterprise-grade systems.

●Automated artifact management and release workflows using Nexus, Git Flow strategies, and Jenkins–JIRA integrations to ensure traceability and reduce QA turnaround by 2–3 days per release.

●Supported data-intensive and compute-heavy workloads, including distributed databases (PostgreSQL, Cassandra, MySQL) and streaming systems (Kafka, HDFS), ensuring high availability and performance.

●Collaborated with cross-functional teams to design platform capabilities that support AI/ML and data workloads, including scalable compute, reproducible environments, and reliable training/inference pipelines.

●Leveraged Python, Bash, and Go scripting to build internal tools, automation frameworks, and operational utilities to improve engineering productivity.

●Provided client-facing technical demos and architecture reviews, showcasing deployment automation and performance improvements that contributed to acquisition of enterprise accounts.

●Administered Linux-based production systems (Ubuntu, CentOS, RHEL), focusing on performance tuning, security hardening, and high-availability configurations.

Environment: AWS, Kubernetes, Docker, Docker Compose, Nomad, Consul, Terraform, Vault, CloudFormation, Ansible, SaltStack, Jenkins, GitHub Actions, Git, Nexus, Datadog, ELK, Kafka, HDFS, Python, Bash, Go, Unix/Linux

Credit Suisse, San Jose, CA

February 2020 - August 2022

DevOps Engineer

Responsibilities:

●Define cloud strategy, roadmap and business case for cloud implementation by analyzing on-premise applications.

●Designed and built scalable solutions integrating technologies in hybrid on-prem and cloud environments.

●Built strategies and gathered requirements for migration of applications, web services and data from local server-based systems to the AWS cloud.

●Architected teams in their migration to AWS, ensuring seamless transitions and efficient utilization of cloud resources.

●Created Statement of work, Proof of Concept, technical design documents related to the project.

●Worked with a strong team of architects and backend developers to gather functional and non-functional requirements.

●Created an environment on the AWS platform and created system alerts on Datadog. Administered multiple AWS accounts for both production and non-production.

●Implemented a golden image template using CloudFormation, standardizing the configuration and setup of EC2 instances across environments.

●Streamlined the process of creating new instances by leveraging the golden image template, improving deployment consistency and reliability.

●Migrated Linux servers from one AWS account to another by sharing AMI IDs.

●Defined automation and CI/CD roadmaps to migrate applications to DevOps standards.

●Developed and maintained deployment jobs for application code using automated tools (GitHub, Jenkins, SonarQube, Nexus, Terraform, Ansible, Docker).

●Implemented Continuous Integration using Jenkins and GitHub to build and deploy artifacts to testing.

●Used Terraform to provision infrastructure employing Auto Scaling Groups, Elastic Load Balancers, EC2, Security Groups, VPC, CloudWatch.

●Built Kubernetes clusters for running microservices and deploying them into production environments.

●Designed and implemented infrastructure using Terraform on AWS, enabling automation and version control for provisioning resources.

●Managed and optimized GitLab CI/CD pipelines, automating deployment processes and ensuring a streamlined delivery lifecycle.

●Integrated and configured Splunk for log management and monitoring, ensuring visibility into application and infrastructure performance.

●Demonstrated expertise in utilizing AWS services such as EC2, S3, RDS, and Lambda to meet application and infrastructure requirements.

●Assisted application teams with connectivity and architectural challenges, providing guidance and solutions to optimize performance and security.

●Developed automation scripts for provisioning and configuring Linux instances, ensuring consistency and repeatability across environments.

●Automated software installations and configurations based on environment requirements, enhancing efficiency and reducing manual effort.

●Provided day-to-day DevOps support, resolving infrastructure issues, optimizing performance, and ensuring high availability of applications.

●Collaborated with cross-functional teams to troubleshoot and resolve production incidents, minimizing downtime and ensuring business continuity.

●Participated in weekly and daily release management using Agile/Scrum methodology.

●Successfully conducted AWS bootcamps, educating teams on best practices, AWS services, and cloud security to enhance cloud expertise.

Environment: AWS, Terraform, Ansible, Docker, Kubernetes, Jenkins, GitHub, GitLab CI/CD, Nexus, Datadog, Splunk, Linux, Python, Shell/Bash.

Broadridge, San Jose, CA

August 2017 - Jan 2020

DevOps Engineer

Responsibilities:

●Led enterprise on-premises to cloud transformation initiatives, defining migration strategy, roadmap, business case, and execution plans for applications, databases, and infrastructure.

●Architected and executed datacenter cloud migrations across Amazon Web Services and hybrid environments, modernizing legacy systems into scalable cloud-native architectures.

●Designed solutions supporting hybrid on-prem + cloud operations, enabling phased transitions and zero-downtime cutovers.

●Migrated applications, web services, and data from local server-based systems to AWS, improving scalability, reliability, and operational efficiency.

●Executed large-scale database migrations (Oracle/Sybase/SQL Server RDS/PostgreSQL/Redshift/S3) using AWS Database Migration Service, ensuring minimal downtime and validated data integrity.

●Led AWS workload migrations, transferring compute, storage, and network resources while maintaining availability.

●Migrated on-prem database servers to AWS, including schema conversions, backups, and replication strategies.

●Modernized legacy CI/CD and SCM platforms and repository/tool consolidations.

●Migrated VMware virtualized workloads to cloud infrastructure, automating provisioning with Terraform and Ansible.

●Responsible for the design and maintenance of the Subversion/GIT Repositories, views, and access control strategies.

●Created the branches in Subversion and Perforce to implement the parallel development process.

●Merged release branches to the trunk after the production release and resolved the conflicts that rose during the merge in both Subversion and Perforce.

●Implemented Infrastructure as Code frameworks to standardize repeatable migrations using AWS CloudFormation and Terraform.

●Performed cross-account AWS migrations using AMI sharing and image-based replication, streamlining environment portability.

●Built cloud-native container platforms with Kubernetes and Docker to replace legacy VM-based deployments.

●Designed and executed disaster recovery, rollback, and failover strategies, ensuring business continuity during migrations.

●Delivered runbooks, automation scripts, and standardized migration playbooks, reducing onboarding time and enabling repeatable migration patterns across teams.

●Driving CI/CD pipeline initiative, maintaining metrics for code quality, analyzing application performance using Dynatrace, performing analytics, monitoring, and notification process using ELK stack.

●Collaborated with cross-functional stakeholders to assess dependencies, refactor workloads, and optimize performance post-migration.

Environment: AWS, Terraform, Ansible, Docker, Kubernetes, VMware, Jenkins, Git, Subversion (SVN), Perforce, Dynatrace, ELK Stack, Maven, Puppet, Python, Bash/Shell, Linux (RHEL/Unix), Oracle, Sybase, SQL Server, PostgreSQL.

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