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Money Fit by DRS

DevOps Platform Engineer

Money Fit by DRS, Arlington, Virginia, United States, 22201


Your RoleThe DevOps Platform Engineer is a crucial member of our Automation Services team, which focuses on enterprise-level automation activities, including curating best practices, plotting strategic direction, providing reusable shared services, and managing automation orchestration tools. Team members collaborate with software development and operations teams performing automated deployments through infrastructure-as-code. This team of engineers works with a broad range of automation technologies, such as AWS/cloud infrastructure and services, CloudFormation, Python, Ansible, and Groovy in a fully automated, cloud-based environment. In addition, DevOps Platform Engineers manage the company’s automation orchestration tools, including Jenkins, Artifactory, Sonar, and Sonatype Lifecycle.Your ResponsibilitiesDeveloping frameworks to improve the automation experience.Collaborating with cross-functional teams to design, develop, test, deploy, and support a broad spectrum of technology solutions, emphasizing automation and cloud infrastructure.Providing expert knowledge in core technologies such as Jenkins, Ansible, Python, Bash, CloudFormation, and Terraform.Utilizing a deep understanding of container technologies such as Docker, AWS Fargate, and ECS.Enhancing automated deployment solutions and proactively monitoring such solutions across various products and environments.Advocating various deployment strategies to support the adoption of automated deployments.Encouraging a DevOps approach throughout the software development lifecycle.Working closely with application and infrastructure architects to implement technical designs, learn existing patterns and practices, and introduce new solutions.Maintaining an infectious security-first mindset throughout the team, keeping up to date with security vulnerabilities, and taking appropriate measures to secure our systems.Promoting new technology and innovation while keeping existing systems up-to-date and secure.Providing support for automation orchestration during application releases.Proactively monitoring project activities to ensure that all deliverables are provided on time, within budget, and in compliance with quality standards.Collaborating with IT Operations to identify requirements for environments and tools needed to support the timely migration and operation of application solutions.Taking an active role in reconciling team decisions regarding technology choices, infrastructure evaluation, and best practices for supported systems.

Required Experience, Skills, and Qualifications10+ years of experience in IT administration or software engineering5 + years in Amazon Web Services (AWS)A proficient knowledge of programming languages, such as Java and Node.js, and build tools, such as Gradle3+ years of experience with deployment and automation technologiesStrong knowledge of automation and pipeline-related technologies, such as Groovy, Ansible, CloudFormation, and PythonProficiency in source code management using Git and its role in adopting Continuous Integration/Continuous Delivery (CI/CD)2+ years of experience administrating CI/CD tools, such as Jenkins and ArtifactoryDemonstrated experience in AWS infrastructure technologies and architecture concepts with the capability to design, deploy, and support cloud-based systems in AWSFamiliarity with databases, such as Oracle and Postgres, and the ability to identify areas for database automation and optimizationAbility to convert business requirements into tangible deliverablesProficiency in the Linux operating system, networking concepts, and troubleshootingStrong knowledge of test automation frameworks and the ability to implement test-driven developmentAbility to follow and create code quality guidelines and development best practicesStrong problem-solving skills, ability to multitask within tight deadlines, and superior attention to detail; self-directed and results/goal-orientedStrong communication skillsBachelor's degree in computer science (preferred)

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