Platform Engineer - JobID-0327

Innovative Defense Technologies•Arlington, VA

1d•$135,000 - $273,000•Hybrid

About The Position

Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a Platform Engineer to be part of our Warfare Systems Business Area and based out of our Arlington, VA location. The Platform Engineer will be a part of a team of Infrastructure and Deployment Engineers to develop, implement, and maintain Infrastructure as Code software for automated deployment and configuration of a Kubernetes-based enterprise product. This role requires strong knowledge and experience in debugging and fixing software deployment/configuration issues in addition to continuing to advance the automation of the deployment process. The Warfare Systems Business Area is one of four mission critical business units within the IDT organization and is directly responsible for building, testing, and deploying the Navy’s next generation of tactical warfare and weapons systems. As the nation enters the ‘technology-first’ era of warfare, the Warfare Systems Business Area will be responsible for enabling and accelerating the mission critical tactical capability that is delivered to the warfighter. The Lead Infrastructure Software Engineer will work with our team of software and systems engineers building tactically relevant and technically innovative solutions to ensure the highest impact to the US Navy.

Requirements

Bachelor’s degree in information technology, Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, or Math, or equivalent full-time professional experience; Master’s Degree in Engineering or another technical field highly desired
3+ years of professional software development/deployment experience in technically rigorous environments
Experience with container technologies such as Docker and Kubernetes
Experience with Kubernetes management services like Helm or ArgoCD
Experience with hypervisor/virtualization technologies such as VMware, KVM, EC2.
Experience with networking in virtualized environments - TCP/IP, DNS, Load Balancing, Firewall, VLANs
Experience in automation scripts and tools such as Ansible, Terraform, Puppet, Salt, etc. and an aptitude for utilizing AI tools (e.g., LLMs, AI coding assistants) to streamline script generation and troubleshooting.
Strong Linux skills
Experience with Bash/Shell
Basic full-stack development skills: SQL, Python/Java, JavaScript, HTML/CSS
Ability to shift from one project to another in an agile work environment
Strong documentation skills
Ability to travel up to 10% of the time, as needed
All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.

Nice To Haves

High-level proficiency with Kubernetes distros such as RKE2
Experience with distributed storage systems such as Rook/Ceph, NFS
Experience deploying Kubernetes clusters and configuring networking, storage, etc.
Experience with Git, Jenkins, Artifactory
DevSecOps experience
Experience with at least one public cloud environment, such as Amazon Web Services or Microsoft Azure
Experience managing and directing personnel while maintaining cost and schedule targets
Problem-solving skills with the ability to navigate ambiguous situations

Responsibilities

Support formal and informal requirements definition, validation, and control scope to complete all the deliverables within a project successfully
Support conversion of internal customer requirements into a refined vision
Be apart of a team that develops, implements, and maintains Infrastructure as Code software for automated deployment and configuration of a multi-site, multi-system microservice- based application, leveraging AI coding assistants to accelerate development.
Support the active operations work of deploying and maintaining multiple Kubernetes clusters in unclassified and classified (airgapped) environments, leveraging AI solutions to improve deployment and maintenance efficiency.
Design and implement solutions that meet specific requirements
Debug, identify root cause and fix software deployment/configuration issues
Identify and apply emerging technologies and architectures including evaluation of cloud operations platforms such as cloud IaaS, PaaS, SaaS.
Work operational and development tasks while championing the use of AI to streamline the team’s workflow, incorporating AI-driven approaches to optimize automation and reduce the complexity of installations.
Implement and test software using multiple languages and technology stacks
Develop software interfaces to communicate across various network protocols and messaging frameworks
Integrate software components into complex software environments
Communicate and work collaboratively with colleagues and lead engineers from other disciplines
Maintains a focus on quality that produces deliverables that meet objectives and align needs, uses, and acceptance requirements set forth by relevant stakeholders
Participate in and provide feedback in design and code reviews
Develop software using secure coding practices
Support test and integration activities in IDT labs, as well as on-site customer labs
Assess, plan, identify, analyze, mitigate and control risks and opportunities
Support preparation, tracking, and delivery of internal deliverables