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ManTech has DevOps Engineer job in Norfolk, VA, 23510

Location:
New Jersey
Salary:
$85/hr
Posted:
July 24, 2025

Contact this candidate

Resume:

Nishanth Reddy CP

Website: https://www.nrcpstudio.com/

Summary:

●Over 12+ years of experience in designing and deploying on various Linux based operating systems such as RHEL, AIX, CentOS, & Ubuntu.

●Designed and developed RESTful APIs using AWS API Gateway and Lambda, resulting in a 30% reduction in API response time and a 40% increase in API availability.

●Automated OpenStack and AWS deployment using CloudFormation (IaC), and Ansible.

●Experience in migrating on-premise applications and databases to AWS infrastructure applying 5 pillars of AWS Well-Architected Frameworks.

●Developed and implemented cloud infrastructure using AWS services such as CloudFormation (IaC) and CloudWatch, resulting in a 50% reduction in infrastructure management time and a 20% increase in infrastructure reliability.

●Automated the deployment pipeline and enhanced collaboration between development and operations teams by utilizing Rancher's built-in tools for cluster management, continuous integration, and monitoring, leading to a 30% reduction in deployment time.

●Architected and re-designed legacy applications to be fully integrated with AWS, leveraging services like EC2, S3, Lambda, and RDS, ensuring scalability, security, and cost-efficiency.

●Led cross-functional teams of developers, directors, and VPs in transitioning legacy systems to a cloud-native AWS environment, utilizing Data Mesh and Model-Driven Development for seamless data management and efficient application redesign.

●Implemented robust Rules Engine frameworks within cloud-based architectures, automating decision-making processes and enhancing system agility and scalability for complex business applications.

●Spearheaded the adoption of GitOps principles, resulting in 30% faster deployments, 50% reduction in deployment errors.

●Hands-on development and AWS migration expertise, ensuring end-to-end migration of legacy applications, optimizing performance and incorporating cloud-native solutions to meet modern infrastructure standards.

●Adaptable, motivated learner and effective team player with excellent communication skills, eager to collaborate and grow within a development-oriented environment.

●Implemented IAM authentication between EKS and RDS Instances across AWS accounts.

●Designed and distributed private cloud system solution using Kubernetes and used it to deploy scale, load balance and manage Docker containers with multiple name spaced versions.

●Designed and implemented a Data Mesh architecture on AWS, decentralizing data ownership and enabling scalable, self-service data infrastructure across multiple domains, improving data accessibility and governance for enterprise-wide applications.

●Designed architectural frameworks solutions (Iaas, Paas, Saas) that best suits clients web application hosting demands in AWS cloud platform, leveraging AWS services such as EC2, Elastic Beanstalk, S3 web hosting, ECS, Lambda, Cognito, AWS Fargate, with focus on integrated and automated service delivery.

●Experience in setting up New Relic, Nagios, and Splunk for monitoring, alerting, and creating dashboards for all server applications and services.

●Setup Internet Gateway as route out to the internet for instances in public subnet.

●Architected and secured infrastructure on AWS using IAM, KMS, Cognito, API Gateway, Cloud Trail, Cloud Watch, Config, SQS, SNS, Trusted Advisor, Security Groups, NACL etc.

●Installation of Istio for service mesh in EKS.

●Experience in integrating, and building applications using AWS SDK for Python (Boto3), Go, and Java.

●Implemented CI/CD methodologies using Jenkins and GIT which helped the teams to manage complex environments.

●Experience in writing Shell and Bash scripts to automate routine jobs.

●Experience in building and maintaining monolithic application environments using Apache Tomcat, Nginx, and RDS Oracle Databases.

●Installed and set up monitoring on Linux & UNIX servers using various tools such as Prometheus, Alert manager, Grafana, Dynatrace, Nagios, & PRTG.

●Experienced in setting up Active-Active and Active-Passive DR strategies.

●Good Knowledge in installing, upgrading, configuring and troubleshooting Apache Web Server, Apache HTTP Server, and Nginx Proxy Server.

●Results-driven professional with a track record of exceeding expectations. Known for accountability, honesty, trustworthiness, unwavering commitment, and a proven ability to solve complex problems.

Professional Experience:

Client: University of California, Santa Cruz (Remote) Oct 2023 – Present

Role: Cloud Architect (AWS)

Responsibilities:

●Led the design and implementation of complex technical system infrastructure, ensuring scalability, reliability, and performance

●Designed and implemented a multi-region AWS architecture supporting over 5,000 faculty and students, ensuring 99.99% uptime for

●key university services.

●Worked with Docker and Kubernetes (EKS) for deploying and managing containerized Golang applications on AWS, ensuring high availability and fault tolerance.

●Experience with integrating AWS SDK for Go in applications to interact with core AWS services like S3, EC2, and DynamoDB, ensuring fast and secure deployments.

●Orchestrated multi-cloud disaster recovery strategy, achieving RTO of 4 hours and RPO of 15 minutes.

●Integrated Amazon RDS with existing student databases, improving data retrieval speeds by 45%.

●Successfully migrated Chef scripts from AWS OpsWorks to AWS Systems Manager (SSM) for streamlined automation and improved infrastructure management.

●Developed and maintained infrastructure as code using Terraform to provision and manage cloud resources efficiently.

●Designed and implemented policy-as-code solutions using Open Policy Agent (OPA), automating security and compliance enforcement across cloud environments. Authored policies to control access, ensure compliance, and enhance governance, significantly reducing manual intervention and policy violations.

●Designed and implemented integrations between AWS services and ServiceNow, enhancing incident management and automation workflows.

●Developed and maintained CI/CD pipelines using Jenkins core, automating manual tasks to improve workflow efficiency and reduce deployment times.

●Automated cloud infrastructure provisioning by implementing CloudFormation and CodePipeline, streamlining manual business and IT processes, and reducing deployment time by 50%.

●Developed and delivered training on GitOps practices to engineering teams, fostering a culture of collaboration and infrastructure-as-code.

●Learned and utilized the jSonar product to onboard databases to the cloud, ensuring secure and efficient data management.

●Leveraged AWS and DevOps skills to optimize cloud infrastructure and enhance system reliability and scalability.

●Deployed and configured AWS GuardDuty to continuously monitor and detect security threats across cloud workloads, improving incident response times and enhancing overall cloud security posture.

●Utilized technical skills in SQL, Shell scripting, and Python to streamline processes, manage data, and automate various tasks within the data protection and analytics domain.

●Expertise in application development and data management, including experience with NoSQL databases, AWS public cloud infrastructure, and cybersecurity principles.

●Optimized ServiceNow ticketing processes by leveraging AWS Lambda and API Gateway for seamless and automated ticket creation and updates.

●Implemented Terraform scripts to automate the deployment of AWS resources, improving consistency and reducing manual errors.

●Managed application upgrades in a Windows Server environment, ensuring seamless transitions and minimal downtime for mission-critical applications.

●Conducted comprehensive reviews of vulnerability reports and effectively managed the patching process for Windows Server and MS SQL Server instances, enhancing system security and compliance.

●Improved operational efficiency through the use of SSM Automation Documents and Config Rules, enhancing compliance and security across multiple AWS accounts.

●Applied NIST RMF to assess and manage risks across cloud environments, ensuring consistent compliance with federal and industry standards for information security and privacy.

●Applied extensive cybersecurity knowledge and experience with tools such as jSonar to protect sensitive data and comply with security protocols.

●Designed reusable Terraform modules to standardize and streamline infrastructure provisioning across multiple projects.

●Proficient in deploying, managing, and optimizing AWS services, including EC2, S3, Lambda, and RDS.

●Designed and implemented AWS Step Functions workflows to orchestrate complex application processes and automate tasks.

●Developed state machines to coordinate multiple AWS services, ensuring seamless integration and efficient execution of distributed applications.

●Utilized AWS Step Functions to create robust and fault-tolerant workflows, enabling retry logic, error handling, and parallel processing.

●Optimized business processes by implementing AWS Step Functions to manage long-running tasks and asynchronous workflows.

●Ensured seamless integration with related interfaces and adherence to best practices.

●Designed and implemented robust security and privacy controls for sensitive data within the system.

●Integrated Terraform with CI/CD pipelines for automated infrastructure deployment, enhancing development workflows.

●Collaborated with cross-functional teams to define architecture patterns, select technologies, and create robust solutions.

●Implemented OAuth-based authentication mechanisms to enable secure API access and user authorization.

●Conducted regular security assessments, vulnerability scans, and audits to maintain compliance.

●Deep understanding of MySQL 8/Aurora 3.05 memory architecture, including buffer pool and cache management.

●Expertise in configuring AWS Aurora MySQ and PostgreSQL, specifically tailored instance types and parameter group settings to optimize performance

●Implemented security best practices within the serverless image handler, such as IAM roles for least privilege access and encryption of images at rest and in transit.

●Developed scripts and automation tools to streamline system maintenance, deployment, and monitoring.

●Leveraged programming languages (e.g., Shell, Bash, Python) to enhance efficiency and reduce manual effort.

●Managed system components, ensuring proper security configurations, logging, and auditing.

●Developed and implemented ITSM frameworks to streamline service delivery and enhance customer satisfaction.

●Implemented proactive measures to detect and respond to security incidents.

●Led technical teams, providing mentorship, direction, and fostering collaboration.

●Facilitated knowledge sharing and promoted a culture of continuous learning.

●Responsible for capacity planning, right-sizing, and cost monitoring of system resources.

●Designed and tested backup and disaster recovery strategies to minimize downtime and data loss.

●Utilized AWS infrastructure and CDK to build and manage cloud-based solutions, ensuring robust, resilient and scalable deployments.

●Designed and deployed SAML-based SSO solutions for secure user authentication across multiple applications.

●Implemented serverless image processing solution on AWS using Sharp for dynamic image resizing and manipulation.

●Collaborated with front-end developers to integrate user-facing elements with server-side logic, ensuring seamless application functionality.

●Coordinated with onshore stakeholders to align with business requirements and ensure the offshore team met deliverables.

●Developed and maintained enterprise-level applications using Java, following best practices and design patterns.

●Experienced in real-time monitoring and alerting of applications deployed in AWS using Cloud Watch, Cloud Trail, Splunk and Simple Notification Service (SNS).

●Implementation of CI/CD setup using “Immutable Infrastructure Design” with the use of Kubernetes, and AWS.

●PAAS implementations using Jenkins, Ansible and shell scripting

●Source code management tools implementation for central code management using SVN and distributed code management using GIT

●Designed, Implemented Chef using Opsworks (for AWS deployed applications) and Ansible (for on-prem applications).

●Worked on the monitoring tools and visualization tools like Prometheus and Grafana and monitoring the Kubernetes pod metrics in regular intervals of time.

●Configured the Kubernetes cluster monitoring mechanism using Prometheus monitoring tool.

●Configuring the Prometheus alerts from the Kubernetes cluster via email-notifications and web-hook mechanisms.

●Written Python scripts for AWS & Prometheus Alert-manager alerts to send and run the alerts.

●Improved the Continuous integration with help of Jenkins, GitHub, and SVNto deliver the client's requirements.

●Automated installation, configuration and applied specific customizations using Ansible.

●Experienced in working in agile and scrum methodologies and participated in sprint releases.

Client: Centene Corporation (Remote) June 2022 – June 2023

Role: Cloud Architect (AWS)

Responsibilities:

●Engaged with stakeholders to gather requirements, provide updates, and ensure alignment on health plan projects, fostering transparency and collaboration.

●Spearheaded migration of 50+ critical healthcare applications to AWS, cutting infrastructure costs by 35% and improving scalability.

●Built a HIPAA-compliant architecture leveraging AWS Shield and WAF, enhancing security posture and ensuring 100% audit pass.

●Designed and deployed secure VPCs and network isolation for over 15 healthcare apps, enhancing data privacy compliance.

●Reduced cloud spending by 20% via rightsizing EC2 instances and utilizing Savings Plans for cost optimization.

●Implemented Data Mesh architecture in a microservices environment on AWS, decentralizing data ownership across domains, allowing each microservice to manage its own data while ensuring data interoperability, scalability, and improved governance across the system.

●Designed and implemented solution blueprints for all AWS infrastructure based on business requirements and IT processes.

●Worked with product owners to define and create product roadmaps and implementation of AWS resources in stages incrementally.

●Designed and implemented microservices architecture with Java and Spring Boot, improving application scalability and maintainability.

●Redesigned and modernized legacy applications using Model-Driven Development (MDD) principles, automating code generation and system behavior through high-level models, significantly reducing development time and improving system flexibility.

●Utilized Java’s multithreading and concurrency features to build high-performance applications capable of handling large volumes of transactions.

●Performed data migration from on premises environments into AWS.

●Actively involved in developing the Groovy scripts for the entire pipeline setup and Jenkins configuration.

●Integrated a custom Rules Engine within application architecture, enabling dynamic business logic management and real-time decision-making, enhancing system adaptability and reducing the need for manual updates during application redesign on AWS.

●Developed automated reporting solutions using AWS Athena and Amazon QuickSight, allowing stakeholders to visualize data trends and make informed business decisions in real-time

●Experienced in real-time monitoring and alerting of applications deployed in AWS using Cloud Watch, Cloud Trail, Splunk and Simple Notification Service.

●Designed and implemented RESTful APIs in Grails, facilitating seamless integration with front-end applications and third-party services.

●Designed and implemented secure, scalable health plan applications on AWS, ensuring compliance with HIPAA and other healthcare regulations

●Developed a custom caching strategy for a media streaming service using Akamai, resulting in a seamless viewing experience.

●Led the deployment and management of containerized applications on a multi-cluster environment using Rancher, enabling seamless scaling, monitoring, and orchestration across multiple Kubernetes clusters.

●Setup internet gateway as route out to the internet for instances in public subnet.

●Leveraged AWS CI/CD tools to increase code deployment frequency leading to reduction in time-to-market for new features and applications.

●Leveraged AWS Athena to efficiently analyze large datasets stored in Amazon S3 using SQL queries, resulting in actionable insights that improved decision-making processes.

●Implemented best practices for data partitioning and compression in AWS Athena, leading to a significant reduction in query costs and improved performance by 30%.

●Installed Istio for service mesh on EKS using Rancher.

●Built and maintained web applications using Groovy and Grails, enhancing application performance and user experience.

●Integrated, and built applications using AWS SDK for Python (Boto3), Go, and Java.

●Managed Kubernetes charts using Helm, and Created reproducible builds of the Kubernetes Applications, managed Kubernetes deployment and service files and managed releases of Helm Packages.

●Created and implemented detailed health plans, ensuring alignment with organizational goals and regulatory compliance.

●Set up monitoring and logging solutions to ensure the health and performance of health plan applications, proactively identifying and resolving issues.

●Designed and deployed SAML-based SSO solutions for secure user authentication across multiple applications.

●Designed and developed AWS Glue-based ETL pipelines to transform and load data into an AWS Data Lake. Managed data ingestion, transformation, and validation processes in a Spring Boot microservices architecture

●Conducted thorough risk assessments to identify potential health risks, and developed mitigation strategies to address them.

●Integrated AWS Step Functions with Lambda functions, EC2 instances, S3 buckets, and other AWS services to build end-to-end automated solutions.

●Enhanced application scalability and reliability by leveraging Step Functions' ability to handle high-volume and high-frequency workflows.

●Implemented monitoring and logging for AWS Step Functions using CloudWatch to track workflow execution and troubleshoot issues effectively.

●Collaborated with development teams to design and document Step Functions workflows, ensuring clarity and maintainability.

●Implemented OAuth-based authentication mechanisms to enable secure API access and user authorization.

●Implemented cluster services using Kubernetes and Docker to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers.

●Using Route 53, load balancers and Auto scaling group to achieve high availability and scalability.

●Architected secure, scalable cloud systems adhering to NIST security frameworks, ensuring compliance with critical controls like data encryption, access management, and incident response.

●Developed and implemented ITSM frameworks to streamline service delivery and enhance customer satisfaction.

●Configuring application Deployments and Statefulsets with PVCs, Secrets and ConfigMaps.

●Configuration of deploymentconfigs, daemonsets, replica set, Services, Routes in AWS EKS using Yaml.

●Designed and implemented a GitOps pipeline for automating infrastructure provisioning and application deployments across environments.

●Configured CloudWatch logs and Alarms.

●Written Kubernetes Yaml files for Deployments, Services, Ingresses and exposing services.

●Configured and managed various AWS Services including EC2, RDS, VPC, S3, Glacier,Cloud Watch, CloudFront, and Route 53.

●Implement and effective EC2 data management strategy by Provisioning additional EBS volumes, EFS or Instance store to handle storage requirements of applications

●Planning and implementing backup and disaster recovery strategies

●Creating and customizing AMI to meet the workload requirements of EC2 Instances

●Use API Gateway, S3, AWS Lambda and DynamoDB to build serverless infrastructures

Client: Verizon, Irving, Texas December 2018 – May 2022

Role: Cloud Architect (AWS)

Responsibilities:

●Led the design and implementation of fault domain architectures, ensuring optimal fault isolation to prevent cascading failures across systems. Enhanced system reliability and uptime by segmenting infrastructure into fault-tolerant domains and deploying proactive monitoring and recovery strategies.

●Developed and delivered training on GitOps practices to engineering teams, fostering a culture of collaboration and infrastructure-as-code.

●Configured & deployed applications on Amazon Web Services (AWS) utilizing the AWS CloudFormation (CFT), GitLab, Artifactory, and Jenkins.

●Successfully transitioned call center operations from PEGA CRM to AWS Connect, ensuring minimal disruption to service and improved overall call handling efficiency.

●Built custom integration solutions to transfer customer data and workflows from PEGA CRM into AWS Connect, streamlining operations while maintaining data integrity

●Comprehensive understanding of MySQL memory allocation, with a focus on optimizing memory usage to ensure high performance in demanding applications.

●Developed and implemented a comprehensive security architecture at Verizon, incorporating data security, network security, and container security best practices to protect critical infrastructure across multiple platforms. Applied zero-trust design principles to enhance system integrity and minimize security risks.

●Enabled continuous integration and delivery (CI/CD) with AWS-native services, reducing human error, enhancing scalability, and accelerating project timelines.

●Provided expertise in jSonar, ensuring effective implementation and integration of cybersecurity measures to safeguard cloud-based databases.

●Expert in analyzing the existing stack, load, and cost and re-design the architecture to reduce the footprint, maintenance, cost and improve the performance.

●Optimized the post-migration environment by leveraging Cloudhesive tools, leading to increased call center scalability, improved agent productivity, and reduced operational costs.

●Expert in setting up deployment pipelines for both public and private clouds.

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

●Automated the build and release process and published documentation for the team to handle the build and release automation on a regular sprint basis.

●Designed the environment to comply with the company's policy and implemented industry best practices.

●Architected serverless deployment models using AWS Lambda and ECS for optimal application delivery and efficient resource utilization.

●Developed custom state transitions and branching logic within AWS Step Functions to meet complex telecom business requirements.

●Utilized PEGA CRM APIs to interact with external services like AWS Connect. So that customer profiles, call scripts, and case management in PEGA can be triggered by incoming calls routed through AWS Connect.

●Oversaw and co-ordinated application upgrades in a Windows Server environment, collaborating with cross-functional teams to ensure successful deployment and system stability.

●Utilized AWS infrastructure and CDK to build and manage cloud-based solutions, ensuring robust, resilient and scalable deployments.

●Reduced operational overhead by automating manual processes through AWS Step Functions, resulting in increased efficiency and reduced error rates.

●Developed custom state transitions and branching logic within AWS Step Functions to handle complex business requirements and decision-making processes.

●Conducted performance tuning and optimization of Step Functions workflows to improve execution time and resource utilization

●Implemented cluster services using Kubernetes and Docker to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers.

●Created fully automated CI build and deployment infrastructure and processes for multiple projects.

●Integrated Kubernetes with Hashicorp Vault to inject configurations at runtime for each service using init, config sidecars and persistent volume sharing between app and config containers

●Created and managed a Docker deployment pipeline for custom application images in the cloud using Tekton.

●Developed scripts for building, and maintaining the environments.

●Designed and implemented solutions for monitoring, scaling, performance improvement, and configuration management of the systems running applications.

●Built and managed a large stack of Linux systems with Ansible Automation. Wrote playbooks, created shell scripts and implemented monitoring checks.

●Performed code reviews, evaluated implementations, and provided feedback for tool improvements.

●Implemented serverless solutions on AWS Lambda to handle on-demand, scalable tasks, including Python and Bash scripts for various application workflows.

●Integrated serverless workflows within the CI/CD pipeline for seamless deployment and monitoring.

●Automated the creation of AWS components like EC2 instances, Security groups, ELB, RDS, IAM through AWS CloudFormation (CFT) templates and Jenkins.

●Developed automation framework for cloud infrastructure deployments.

●Quickly troubleshoot and resolve network, hardware, software and performance issues, including rotating on call emergency response.

●Worked with the DBA to identify the database performance issues, and network related issues on Linux Servers.

●Experience with New Relic, Nagios, and Splunk tools for monitoring and alerting services for all of our server applications and services.

●Worked closely with developers and managers to resolve the issues that were raised during the deployments in different environments.

●Experienced in configuring Nginx proxy Server, Apache Web Servers and Tomcat Application Servers.

●Very strong debugging and troubleshooting experience on the Linux Servers & AWS cloud services.

●Implementation of CI/CD setup using the groovy pipeline scripts.

●Active participant in scrum meetings, reporting the progress and maintaining effective communication with each team member and manager.

Client: UnitedHealth Group, Minnesota May 2018 – December 2018

Role: DevOps Engineer

Responsibilities:

●Implementation of CI/CD setup using Kubernetes, and OpenShift.

●OneClick framework, self-service, on demand models for all PAAS implementations using Jenkins, Ansible and shell scripting

●Designed and implemented secure, scalable health plan applications on AWS, ensuring compliance with HIPAA and other healthcare regulations

●Source code management tools implementation for central code management using SVN and distributed code management using GIT

●Designed, Implemented and Managing Tools Automations with Chef, and Ansible.

●Manage implementation and OGS of COTS-based Tools stack like Atlassian Product, SonarQube, GIT, TeamCity, Jenkins, JAMA, Tasktop.

●Extensive experience in using Build Automation tools like ANT, and Maven.

●Worked on the monitoring tools and visualization tools like Prometheus and Grafana and monitoring the Kubernetes pod metrics in regular intervals of time.

●Configured the Kubernetes cluster monitoring mechanism using Prometheus monitoring tool.

●Configuring the Prometheus alerts from the Kubernetes cluster via email-notifications and web-hook mechanisms.

●Written Python scripts for Prometheus Alert-manager alerts to send and run the alerts.

●Good knowledge in managing the Nexus and Artifactory repositories for the maven artifacts and dependencies.

●Improved the Continuous integration with help of Jenkins, GitHub, SVN, and SonarQube to deliver the client's requirements.

●Automated installation, configuration and applied specific customizations using Ansible.

●Experienced in working in agile and scrum methodologies and participated in sprint releases.

Client: Viacom Inc., NYC, NY Aug 2015 – April 2018

Role: Linux Engineer/DevOps Engineer

Responsibilities:

●Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our Prod and QA.

●Implemented Python and Shell scripts to automate routine jobs.

●Installed, Configured and Administered Continuous Integration Tools like Jenkins.

●Proposed, Implemented and maintained New Branching strategies for development teams to support trunk, development baseline codes along with several feature branches.

●Implemented DevOps using EC2, S3, RDS, EBS, Elastic Load Balancer, Auto-scaling groups, Optimized volumes and EC2 instances.

●Performed Branching, Tagging, and Release Activities on Version Control Tools: SVN, GIT.

●Creating instances in EC2 and tagging the volumes using Cloud formation templates and associating EIP to it, creating ELB, Route53, Auto-scaling.

●Creating VPC, Subnets, IGW, and Route tables. Worked on the networking part for getting access to instances, setting up security groups etc.

●Organized and Coordinated Product Releases, worked closely with product development, QA, Support across global locations to ensure successful releases.

●Worked on Managing the Private Cloud Environment using Chef. Automated centralized configuration using Puppet.

●Creating S3 buckets and also managing policies for S3 buckets and utilized S3 bucket and Glacier for storage and backup on AWS.

●Developed and supported the Software Release Management and procedures,



Contact this candidate