Software Engineer – Deployment

Jobtailor

Arlington (VA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Job summary

Jobtailor in Arlington, VA is seeking a senior software engineer to own Infrastructure as Code, Kubernetes operations, and automation for a multi-site, multi-system microservice application.

You will mentor a small team, drive AI-assisted coding, integrate Docker and Kubernetes tooling, and implement secure, scalable deployment practices across cloud and airgapped environments, and collaborate with stakeholders.

Qualifications

Bachelor’s degree in IT/CS/CE/EE/Systems/Physics/Math or equivalent.
7+ years in software development and deployment in rigorous environments.
Strong Docker and Kubernetes proficiency.
Experience with Helm or ArgoCD for cluster management.
Networking in virtualized envs: TCP/IP, DNS, Load Balancing, Firewalls.
Automation with Ansible, Terraform, Puppet, Salt; AI tooling for scripts.
Strong Linux and Bash/Shell scripting.
Basics of SQL, Python/Java, JavaScript.

Responsibilities

Define and control project scope to deliver all milestones.
Lead a team to develop, deploy, and maintain IaC for multi-site app.
Operate Kubernetes clusters across unclassified and airgapped environments.
Design solutions using modern data structures and patterns.
Debug deployment and configuration issues.
Mentor engineers and drive adoption of AI tools.
Collaborate with cross-disciplinary teams and stakeholders.

Skills

Infrastructure as Code

Kubernetes Management

Automation Tools

Leadership

Documentation

Collaboration

Mentoring

Agile Adaptability

Strong Linux skills

Bash/Shell

Full-stack basics

Education

Bachelor's Degree in Information Technology/CS/CE/EE/Systems/Physics/Math

Master’s Degree in Engineering or technical field desired

Tools

Docker

Kubernetes

Helm

ArgoCD

VMware

KVM

EC2

AI Coding Assistants

Networking protocols

Load Balancing

Firewall

VLANs

Job description

Manage formal and informal requirements to define, validate and control scope to complete all the deliverables within a project successfully
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.
Design and implement solutions that meet specific requirements using state-of-the-art data structures, algorithms, patterns, and tools
Debug, identify root cause and fix software deployment/configuration issues
Guide a team in the identification and application of emerging technologies and architectures including evaluation of cloud operations platforms such as cloud IaaS, PaaS, SaaS.
Manage, mentor, and lead a small team of engineers working 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.
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
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

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 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, etc. 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

Core Competencies

Demonstrates expertise in managing software development and deployment processes, with a strong focus on Infrastructure as Code, Kubernetes management, and automation tools. Proven ability to lead teams, mentor engineers, and implement solutions that meet complex requirements while leveraging AI technologies.

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