Devops Engineer Software
Resume:
AWS Certified Solution Architect
Six Sigma Certified – Green belt
Neha Rattan
Bangalore, India
***********@*****.***
Neha Rattan
Always Strives to be an Asset rather than a Liability. An avid knowledge seeker and propagator of the same.
Experience
2025/03 – Present
Associate Manager- Devops/Accenture, Bangalore (India)
2022/12 – 2025/03
Devops Technical Lead/ Tata Technologies, Pune (India)
2022/04 – 2022/12
Sr. DevOps Engineer/ Capital Numbers, Kolkata(India)
2019/08 – 2022/04
Devops Engineer/ Basware Corporations, Chandigarh (India)
2014/09 – 2019/07
Senior Software Engineer/ Tech Mahindra, Chandigarh(India)
Education
B.TECH / GGSCET (India) 2010-2014
84% aggregate in CSE branch
HIGHER SECONDARY/ Sr. Chetan Singh Sarvhitkari Vidya Mandir, Mansa(Punjab) India 2010
75.60% aggregate
SECONDARY / Arya Sen Sec School Mansa(Punjab) India 2009
79.50% aggregate
Technical Skills:
● Cloud: AWS
● Containerization: Docker and Kubernetes (EKS)
● Scripting and Coding: Bash and Python scripting
● Code Repository: GITLAB, GITHUB and Bitbucket
● Build: Maven and Gradle
● Monitoring/Logging tools: Nagios,Splunk,Dynatrace,Grafana and Prometheus
● Identity Management: Active Directory, LDAP
● CI/CD Tool: Github Actions and Jenkins
● Dockerfile Linting and Image Hardening: Hadolint and TrivyScan
● Code Quality Analysis: SonarQube
● Artifactory: J-Frog and Nexus
● Infrastructure as a code: Terraform
● Configuration Management: Ansible
● Container deployments: Argocd
● Application Technology stack: Node JS, React, Java, Tomcat
● Reverse Proxy: Nginx and HAProxy
● Database: Amazon RDS, Aurora, and DynamoDB
1.)Company: Accenture
Tenure: 2025/03 – Present
Associate Manager – Application Development
Client : J.P.Morgan Chase
JPMorgan Chase & Co. is an American multinational financial services firm headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States and the world's largest bank by market capitalization as of 2023.
Area of Work: Security and Best practice implementation for banking project:
Responsibilities/Work Handled for Deployment automations:
Implementing role-based access control (RBAC) across Kubernetes clusters to enforce least-privilege access, aligning with JPMorgan’s internal security policies.
Developing and enforcing infrastructure security baselines using Terraform and AWS Config, ensuring consistent compliance with CIS benchmarks.
Integrating Secrets Management using HashiCorp Vault and AWS Secrets Manager, eliminating plaintext secrets in pipelines and reducing breach risk.
Establishing secure CI/CD pipelines by integrating tools Trivy for real-time vulnerability scanning in container images.
Configured multi-factor authentication (MFA) and SSO integrations via Okta for secure access to DevOps toolchains and cloud resources.
Automating audit logging and security event tracking using CloudTrail, AWS GuardDuty, and SIEM integration, enabling faster incident response.
Hardening Linux-based EC2 instances and container images using custom AMIs and CIS-compliant Dockerfiles, reducing attack surface.
Centralized monitoring and logging solutions using Prometheus, Grafana, and ELK stack, improving incident response time by 30%.
Automated cloud cost optimization strategies, reducing AWS expenditures by 15% monthly
Collaborated with cross-functional teams at JP Morgan to align DevOps practices with enterprise security and compliance standards.
Integrated SonarQube and Checkmarx for continuous code quality checks and security scanning across microservices.
-Current Role in the Project: Devops Associate Manager
-Team Size: 10
-Technology Stack:
AWS: Landing Zones, RBAC, Security Hub for CIS implementation, AWS Lambda, AWS Config, AWS GuardDuty, S3, EC2
Logging and Tracking: Grafana, Prometheus, ELK, CloudTrail
CI/CD Integration: Jenkins, Sonarqube, checkmarx, Trivy
Secret Management: Hashicorp vault and AWS Secret Manager
Containers: Docker and EKS
SSO: Okta
Infrastructure as a Code: Terraform
Scripting/Coding: Python
2.)Company: Tata Technologies
Tenure : 2022/12 – 2025/03
Devops Technical Lead
(a.)Client 1. : Jaguar Landrover
Product : 3D Expérience Platform
Area of Work: Deployment automations(CI/CD), Infrastructure Migration and Team management:
Responsibilities/Work Handled for Deployment automations:
Setup CI/CD Jenkins pipeline for Jaguar Landrover’s simulation application’s deployment process for both server side as well as client side for on-premise application, improving deployment speed by 40% and reducing manual errors.
Designed the entire architecture of the pipeline and handled it’s implementation from the POC phase till the time it has been deployed in all environments successfully including Production including the creation of proposal plan and all documentations for the management’s approval.
Automated the manual processes through bash and python scripting. Also automated some of the GUI processes through Selenium and integrated that with current CI/CD setup inorder to make complete end to end automated pipeline for deployment
Setup the monitoring system by Grafana and Prometheus.
Created Customized Dashboard with HTML for capturing and displaying application as well as server logs in User friendly view as well as for the users who do not have the access to servers.
Automated entire intimation via email, JIRA and whatspp throughout the entire pipeline to the relevant person for smooth CI/CD monitoring
Implemented Exception handling as well as rollback strategies in order to mitigate failures during pipeline run.
Multi-node Jenkins setup for time saving and multiple parallel jobs running.
Responsibilities/Work Handled for Migration to cloud:
Designed the proposed new architecture on cloud for migrating the on-premises application setup.
Designed and implemented AWS Landing Zone solutions, reducing account provisioning time and enhancing security through standardized configurations.
Led the setup of multi-account AWS environments using Control Tower, Account Factory, and Service Catalog, ensuring consistent governance and compliance across the organization.
Developed secure AWS Landing Zones adhering to best practices, incorporating centralized logging, identity and access management, and network configurations to meet organizational security requirements.
Created and estimated the entire billing and the cost to company for the migration as well as proposal for how this will benefit the company in long run.
Following the Lift & Shift and Replatforming approach for the migration.
AWS applications on which we are working : Route 53, IAM, Cloudfront, Cloudwatch, Cloudtrail, EC2, Lambda, ECS, SQS, SNS, Workflows, Load Balancer, WAF, S3, EBS, Step functions, RDS, Dynamo DB, VM import/Export, Storage gateways, VPC setup and peering.
Deployed the AWS resources stack through AWS management console and Terraform.
Experience with setting up different accounts, organization units, control tower - landing zone, SSO, SCPs, Account factory, service catalog and portfolio, Guradrails and AWS config in order to centralize compliance for multiaccount setup in AWS.
Provisioned and managed highly available Amazon EKS clusters using IaC tools using Terraform for scalable containerized workloads.
Automated EKS cluster node group scaling and updates using EKS Managed Node Groups and Fargate profiles.
Integrated CI/CD pipelines with EKS using tools like Jenkins, GitLab CI, ArgoCD, and FluxCD for automated container builds, deployments, and rollbacks.
Deployed and managed microservices on EKS using Helm, Kustomize, and kubectl with proper namespace isolation, resource quotas, and network policies.
Configured Horizontal Pod Autoscalers (HPA) and Cluster Autoscaler to optimize performance and cost.
Implemented GitOps workflows for managing EKS application configurations and Kubernetes manifests.
Secured EKS workloads using IAM roles for service accounts (IRSA), PodSecurityPolicies, and Kubernetes RBAC.
Implemented monitoring and logging with Prometheus, Grafana, AWS CloudWatch, and FluentBit/Fluentd.
Enabled Kubernetes audit logging and EKS control plane logging for compliance and debugging.
Configured VPC CNI, ALB Ingress Controller, and CoreDNS to manage service discovery, ingress, and internal networking in EKS clusters.
Used Karpenter and Cluster Autoscaler to dynamically scale nodes based on workload demands.
-Current Role in the Project: Senior project Lead
-Team Size: 8
-Technology Stack:
-Cloud: AWS- Applications used: Route 53, IAM, Cloudfront, Cloudtrail, EC2, Lambda, EKS, SQS, SNS, Workflows, Load Balancer, WAF, S3, EBS, Step functions, RDS, Dynamo DB, VM import/Export, Storage gateways, VPC setup and peering, EKS, Landing Zone, Account Factory, AWS Organization, Control Tower and Service Catalog.
-Cloud Resources Stack Deployment: AWS management console and Terraform
-CI/CD setup: Jenkins
-Code repository: Gitlab
-Scripting and coding: Bash Scripting, Bat Scripting, Python, HCL/JSON and groovy coding
-Monitoring: Grafana and Prometheus
-Dashboarding: HTML
-Application/Web Servers: Apache Tomcat and Microsoft IIS
-Operating System: Windows and SUSE(Linux)
-Build tools: Apache Maven and Gradle
-Container deployments: ArgoCD and EKS
(b.)Client 2: Siemens
Product: TeamCenter
Area of Work: Deployment automations(CI/CD):
Responsibilities/Work Handled for Deployment automations(CI/CD):
Completed with the first phase of POC for CI/CD implementation on client side of deployments
Setup Jenkins CI/CD pipeline for end-to-end automated deployment.
Setup Interactive CI/CD pipeline in order to cover various Prod CRs and usecases.
Setup Sonarqube Integration with the CI/CD for code quality check.
Setup JFrog Artifactory Integration for artifact storage during deployment.
Setup Test Cases Execution for Junit and cucumber with the current the CI/CD pipeline.
Deployed and maintained containerized applications using Docker and orchestrated via Kubernetes (EKS), achieving high availability and scalability.
Designed, deployed, and maintained highly available database solutions using Amazon RDS, Aurora, and DynamoDB in cloud-native DevOps pipelines.
Automated database provisioning, backup, and scaling tasks using Terraform, and AWS CLI.
Implemented infrastructure-as-code (IaC) for reproducible, version-controlled database environments across development, staging, and production.
Monitored database performance and query optimization using Amazon CloudWatch, Performance Insights, and DynamoDB metrics.
Secured AWS databases using IAM policies, KMS encryption, VPC peering, and parameter groups for compliance with enterprise security standards.
Managed automated backups, point-in-time recovery (PITR), and database snapshots for RTO/RPO alignment.
Integrated database schema changes and migrations into CI/CD pipelines using tools like Liquibase, Flyway.
Enabled blue/green deployments and zero-downtime upgrades for database-backed applications.
Optimized cost through proper sizing, Reserved Instances (RI), and storage autoscaling features in Amazon RDS and Aurora.
Configured read replicas, multi-AZ deployments, and global tables in DynamoDB to enhance read throughput and ensure high availability.
-Current Role in the Project: Senior project Lead
-Team Size: 10
-Technology Stack:
-CI/CD setup: Jenkins
-Code repository: Gitlab
-Scripting and coding: Bat Scripting and groovy coding
-Artifactory: JFrog
-Static Code Analysis: Sonarqube
-Monitoring: Cloudwatch, Performance Insights, DynamoDB Metrics, Splunk and Nagios
-Operating System: Windows
-DataBase: Amazon RDS, Aurora, and DynamoDB
-Database Changes tracking: Liquibase and Flyway
-Encryption: KMS
-AWS: VPC peering, IAM, AWS CLI
-IAAC: Terraform
2.) Company: Capital Numbers
Tenure: 2022/04 – 2022/12
Sr. DevOps Engineer
(a.)Client1 :Harris Affinity
Product: Healthcare Financial Performance Solutions
Area of Work: Deployment automations(CI/CD), Application Containerization and Infrastructure Maintenance.
Responsibilities/Work Handled:
Setup of CI/CD Pipeline on github actions for Application deployment among different environments.
Integration of Gitlab with Jenkins.
Integration of Nexus repository for Artifact storage.
Integration of JUNIT/Selenium testcases with CI/CD
Containerization of Devops tools’s server as well as application servers via Docker.
Continuous monitoring of the servers via Grafana and Prometheus.
Setup of reverse proxy server.
Integration and setup of LDAP server for authentication.
Integration of Maven build tool.
Designed and deployed Amazon Connect contact center solutions, integrating with Client’s internal CRM and secure backend services.
Automated infrastructure provisioning for Amazon Connect using Terraform ensuring consistent and compliant deployments.
Implemented secure call recording and encryption mechanisms in Amazon Connect using KMS and S3 lifecycle policies to meet Client's data retention policies.
Integrated Amazon Connect with AWS Lambda, DynamoDB, and Lex, enabling dynamic IVR flows and intelligent call routing based on real-time customer data.
Monitored contact center performance using Amazon CloudWatch, building custom dashboards and alarms to ensure SLAs and system health.
Ensured high availability and disaster recovery configurations using multi-region backups and cross-region replication strategies.
Developed CI/CD pipelines for Amazon Connect workflows and Lambda functions using CodePipeline, Github actions, and Jenkins, reducing deployment times by 35%.
Integrated third-party services and APIs within GitHub Actions workflows to extend automation functionalities.
Developed custom GitHub Actions to address specific project needs, enhancing workflow capabilities beyond standard offerings.
Collaborated with security and compliance teams to pass internal and external audits related to voice and data transmission in regulated environments.
-Role in the Project: Sr. Devops Engineer/ Devops Team Lead
-Team Size: 5
-Technology Stack:
-Cloud: AWS: Amazon Connect, Lambda, KMS, S3, DynamoDB, Lex
-CI/CD setup: Github Actions
-Code repository: Gitlab
-Scripting and coding: Bat Scripting/Bash Scripting and groovy coding
-Monitoring: Grafana and Prometheus
-Operating System: Windows and Linux(Red Hat)
-Build tools: Maven
-Proxy Server: Nginx and HAProxy
-Application/Web Server: Wildfly
-Containerization tool: Docker
(b.)Client2 :Worx Software
Product: TagWorx
Area of Work: Deployment automations(CI/CD), On Cloud resources deployment
Responsibilities/Work Handled:
Setup CI/CD pipeline in AWS via Codepipeline
Created and implemented websocket api for 2 way communication in AWS.
Created lambda for event triggering.
Setup entire AWS resource stack for the application module including EC2, Route 53, Lambda, Load Balancer, RDS Proxy, RDS DB, S3 buckets, IAM landing Zone, VPC including NAT gateway for db instances, ata encryption via KMS.
Implemented Security best practices at all level of infrastructure.
Implemented Fault tolerance and scalability practices on different levels.
Did configuration management on instances via ansible and chef.
Designed and deployed serverless applications using AWS Lambda, API Gateway, DynamoDB, and S3, reducing infrastructure overhead by 60%.
Built CI/CD pipelines for serverless services using AWS CodePipeline, CodeBuild, and Terraform, ensuring automated, zero-downtime deployments.
Integrated monitoring and alerting for serverless functions using CloudWatch Logs, X-Ray, and Datadog, enhancing observability and reducing mean time to resolution (MTTR).
Implemented event-driven workflows using SNS, SQS, and EventBridge to decouple services and increase system resilience.
Secured serverless APIs using IAM policies, Cognito, and API Gateway authorizers, aligning with enterprise compliance standards.
Reduced cold start latency in Lambda functions through optimized packaging and provisioned concurrency settings.
Led migration of monolithic applications to microservices using serverless architecture, improving scalability and reducing operational costs.
-Role in the Project: Sr. Devops Engineer/Devops Team Lead
-Team Size: 4
-Technology Stack:
-Cloud:AWS-- EC2, Route 53, Lambda, Load Balancer, RDS Proxy, RDS DB, S3 buckets, IAM landing Zone, VPC including NAT gateway for db instances, data encryption via KMS, IAM Policies, Cognito, API Gateway authorizers, SNS, SQS, eventbridge, CodePipeline, codebuild.
-CI/CD setup:Code Pipeline
-Code repository: Bitbucket and Code commit
-Scripting and coding: Python and Ruby
-Monitoring: Cloudwatch, Xray, Datadog and Cloudtrail
-Operating System: Windows and linux
-Configuration Management tool: Ansible and Chef
-Infrastructure as Code: Terraform
3.)Company: Basware Corporation
Tenure: 2019/08 – 2022/04
Client: RITCHIE BROTHERS, HEINEKEN, PHILIPS, TOSHIBA and TOYOTO etc.
Product: Basware P2P
Area of Work: Infrastructure Hosting and Configuration Management
Responsibilities/Work Handled:
Installation, configuration and management of Wildly Application Server.
Configuration Management on multiple servers via ansible
Involved in creation and maintenance of Kubernetes cluster
Involved in infrastructure setup on AWS cloud with EKS.
Maintenance and implementation of docker containers as well as Kubernetes pods.
Continuous Deployments on Kubernetes cluster with Argocd.
Experience in handling SAAS environment with multi-tenant environment.
API calls management via Postman
Hosted Static website in S3 and setup that as secondary route during failover.
Setup of Autoscaling groups and strategies for fault tolerance.
Worked in maintenance and enhancement of Jenkins CI/CD pipeline for deployment.
Involved in Lift and Shift Strategy during cloud migration and implemented various resources on cloud.
- Role in the Project: Devops Engineer
-Team Size: 6
-Technology Stack:
-Cloud: AWS--- EC2, Autoscaling, Route 53, Elastic Beanstalk, Memcached, VPN, Lambda, DynamoDB,SNS,SQS,Step Functions
-CI/CD setup: Jenkins
-Code repository: Gitlab
-Scripting and coding: Bat Scripting/Shell Scripting and groovy coding
-Monitoring: Datadog and Cloudwatch
-Operating System: Windows and Linux(Red Hat)
-Container Orchestration tool: Kubernetes(EKS)
-Configuration Management: Ansible
4.)Company: Tech Mahindra
Tenure : 2014/09 – 2019/07
Client: AT&T
Product: AT&T.COM
AT&T Inc. is an American multinational telecommunication company, is the second largest provider of mobile
telephone services and the largest provider of fixed telephone services in the United States, and also provides broadband subscription television services through DirecTV.
Area of Work: Production Support, Server Maintenance and troubleshooting and workarounds for UAT bugs.
Responsibilities/Work Handled:
●Maintenance and management of multiple servers including DEV/IST, QA/UAT, PERF and PROD.
●Upgrading existing servers to their latest versions.
●Troubleshooting and Root cause analysis for issues in UAT.
●Providing various workarounds until the bug fixation via Database fix or manual workaround.
●Analyze and propose AS-IS and Should-be project strategies.
●Worked as a volunteer for implementing six sigma practice in the project.
●Root cause analysis and identifying the bugs in application and proposing it for fix to the dev team.
●Server resources and security maintenance.
●Assisting and providing solutions to UAT clients for their issues.
-Role in the Project: Senior Production Support Engineer/ System Administrator
-Team Size: 20
-Technology Stack:
-Servers setup: VirtualBox and VMware
-DB: Oracle
-Configuration Management: Ansible
-Scripting and coding: Unix shell scripting
-Monitoring: Splunk
-Ticketing tool: BMS Remedy, ServiceNow and JIRA
-Operating System: Windows and Ubuntu
Certifications:
-AWS Solution Architect Certification
-Six Sigma Certified – Green belt
Achievements:
-Awarded By various awards including SPOT and PAT on the back during my Tenure in Tata Technologies.
-Awarded with Employee of the month twice during my Tenure in Basware.
-Awarded as Star performer in my current organization i.e. Tata Technologies.
-Delivered many projects proposal, demos and implementation presentations during Client visit of Jaguar Land Rover in India and got funding for the new project proposals.
-Awarded with various awards during my study period regarding sports, declamation competitions, General knowledge quiz and dramas.
I, hereby declare that all the information given above is correct to the best of my knowledge.
Neha Rattan.
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