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Software Engineer in Deployment
Job in
Arlington, Arlington County, Virginia, 22201, USA
Listed on 2026-07-08
Listing for:
Innovative Defense Technologies (IDT)
Full Time
position Listed on 2026-07-08
Job specializations:
-
Software Development
DevOps, Cloud Engineer - Software, Software Engineer
Job Description & How to Apply Below
Location: Arlington, VA
Department: Engineering
Compensation: $135,000 - $273,000 / year
AboutThe Role
Innovative Defense Technologies (IDT) is seeking a Software Engineer in Deployment to lead a team of Software Deployment Engineers. The role focuses on developing, implementing, and maintaining Infrastructure as Code software for automated deployment and configuration of a Kubernetes-based enterprise product. Responsibilities include debugging and fixing deployment/configuration issues and advancing deployment automation.
Clearance & Location Requirements- All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance.
- This is an on‑site position requiring at least four days in the office, located in Arlington, VA.
- Scope and Define Requirements:
- Support conversion of internal customer requirements into a refined vision.
- Lead a team to develop, implement, and maintain 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.
- Lead 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.
- Engineer Solutions:
- Design and implement solutions that meet specific requirements using state‑of‑the‑art data structures, algorithms, patterns, and tools.
- Debug, identify root causes, and fix software deployment/configuration issues.
- Guide a team in evaluating emerging technologies and architectures, including cloud IaaS, PaaS, SaaS platforms.
- Manage, mentor, and lead a small team of engineers, championing the use of AI to streamline workflows.
- Design, 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.
- Collaborate with colleagues and lead engineers from other disciplines.
- Assure Quality:
- Participate in design and code reviews.
- Develop software using secure coding practices.
- Support test and integration activities in IDT labs and on‑site customer labs.
- Manage Risk and Opportunities:
- Assess, plan, identify, analyze, mitigate, and control risks and opportunities.
- Support preparation, tracking, and delivery of internal deliverables.
- 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 other technical field highly desired. - 7+ years of professional software development/deployment experience in technically rigorous environments.
- High‑level proficiency 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.
- Proficiency in automation scripts and tools such as Ansible, Terraform, Puppet, Salt, and an aptitude for utilizing AI tools (e.g., LLMs, AI coding assistants) to streamline script generation and troubleshooting.
- Strong Linux skills.
- High degree of competence in 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 leadership capabilities and skills.
- Strong documentation skills.
- Ability to travel up to 10% of the time, as needed.
- High‑level proficiency with Kubernetes distros such as RKE
2. - Experience with distributed storage systems such as Rook/Ceph, NFS.
- Experience deploying Kubernetes clusters and configuring networking, storage, etc.
- Experience with Git, Jenkins, Artifactory.
- Dev Sec Ops experience.
- Experience with at least one public cloud environment, such as Amazon Web Services or Microsoft Azure.
- Experience…
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