Software Engineer 3 - (Kubernetes, Docker, Prometheus) Software Engineer/Developer 20-25-023-SWE3 Annapolis Junction, Maryland

Akina Inc; Annapolis (MD); On-site; USD 241,000 - 295,000; Full time

Benefits offered by this job

24 days PTO

11 federal holidays

Healthcare costs covered for employees

401k with 10% company contribution

Educational assistance for courses/trs

Job summary

Akina Inc in Annapolis Junction, Maryland is seeking a Software Engineer focused on DevOps, platform engineering, and infrastructure automation for mission-critical AI/ML delivery. You will build reliable, scalable infrastructure and deployment pipelines using IaC, containers, and orchestration to ensure continuous availability of services.

Collaboration with data scientists and system admins is key as you own the platform layer that enables rapid, resilient AI deployments.

Qualifications

• 12+ years of SWE experience in similar scope and complexity.
• Bachelor's degree in Computer Science or related field.
• Experience with on-prem infrastructure and platform engineering.

Responsibilities

• Deploy and manage containerized AI/ML services on-premises using Kubernetes.
• Implement observability and monitoring with Prometheus, Grafana, etc.
• Build and maintain CI/CD pipelines and IaC for automated deployment.
• Design resilient, highly available infrastructure patterns for mission systems.
• Collaborate with data scientists and system admins to meet reliability requirements.

Skills

On-prem deployment

Docker/Kubernetes

Observability tools

CI/CD pipelines

Git version control

Jira/Confluence

SRE/platform engineering

Education

Bachelor's degree in Computer Science or related

Tools

Git

Jira

Confluence

Job description

• Annapolis Junction, Maryland

Clearance: TS/SCI - Polygraph required
Position ID: 20-25-023-SWE3
Location: Annapolis Junction, Maryland

Description

You will act as a Software Engineer with a focus on DevOps, platform engineering, and infrastructure automation for a high-impact mission delivering AI/ML capabilities to end users. Your work will center on building reliable, scalable infrastructure and deployment pipelines rather than application development, ensuring continuous availability of mission-critical services through infrastructure-as-code, containerization, and orchestration. You will implement comprehensive observability and monitoring solutions that track system health and user usage patterns. Collaborating with data scientists and system administrators, you will own the platform layer that enables rapid, resilient delivery of AI technologies to the mission.

• Deploy and manage containerized AI/ML services using Kubernetes in on-premises environments.
• Implement observability and monitoring solutions using Prometheus, Grafana, and related tooling to track system health and usage metrics.
• Build and maintain CI/CD pipelines and infrastructure-as-code to enable reliable, automated deployment of platform services.
• Design and implement resilient infrastructure patterns to ensure high availability and performance of mission-critical capabilities.
• Collaborate with stakeholders to translate operational and reliability requirements in platform engineering solutions.

Position Required Skills

• Experience deploying and managing services in on-premises infrastructure environments.
• Service containerization and orchestration with Docker/Kubernetes in production environments.
• Experience with observability and monitoring tools such as Prometheus, Grafana, or equivalent platforms.
• Knowledge of CI/CD pipelines, GitOps workflows.
• Service containerization and deployment with Docker/Kubernetes.
• Experience with version control (git).
• Atlassian Tools (Jira, Confluence).

Nice to Haves

• Experience with model serving technologies (vLLM, TorchServe, TensorFlow Serving, Triton Inference Server).
• Knowledge of AI infrastructure tools and frameworks (LiteLLM, Bifrost, Ray, Ollama).
• Knowledge of service mesh technologies (Istio, Linkerd) or advanced Kubernetes patterns.
• Awareness of current AI/ML landscape including emerging models, capabilities, and applicability to different use cases.
• Knowledge of end-to-end SIGINT collection and analysis systems.
• Experience with production CNO capabilities and operations.

SWE3 Qualifications

A minimum of twelve (12) years of experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

Salary Range

$241k-$295k (Annually)

The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.