Junior Software Engineer

Belay Technologies, Inc.; Maryland; On-site; USD 70,000 - 190,000; Full time

Benefits offered by this job

Paid leave

401(k) match

Training allowance

Student loan repayment

Company HSA

Medical coverage

Dental coverage

Life insurance

Amazon Prime

Gym reimbursement

Monthly lunches

Pet adoption program

Referral bonuses

Team events

Job summary

Belay Technologies, Inc. in Columbia, Maryland, is seeking a Software Engineer to join our intel team. You will build and maintain the foundation for customer AI capabilities while supporting an ecosystem of AI-enabled applications.

Responsibilities include deploying cloud infrastructure, creating CI/CD pipelines, and ensuring security posture for AI systems. Strong Python, AWS, and Docker skills are expected, with TS/SCI clearance required.

Qualifications

• TS/SCI clearance with polygraph required.
• B.S. in a technical discipline or 4 extra years of related experience.
• Ability to learn new technologies quickly and communicate clearly.

Responsibilities

• Deploy and maintain cloud infrastructure for AI capabilities (AWS, Kubernetes).
• Build and maintain CI/CD pipelines and infrastructure-as-code for reliable deployments.
• Configure observability tooling to monitor production services.
• Support certificate management and follow security best practices for AI systems.
• Collaborate with teams to provision and configure required infrastructure.
• Diagnose and help resolve production infrastructure issues.

Skills

Python

AWS

Docker

Learning agility

Communication

Education

B.S. in a technical discipline

Tools

Kubernetes

Terraform

Helm/Kustomize

Argo CD

Elastic Stack

Grafana/Prometheus

IAM

Job description

Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026!

Belay Technologies is seeking a Software Engineer to join our intel team.Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a software engineer to support our Platform team, which owns the AWS infrastructure, Kubernetes clusters, and security posture that every AI capability in the organization runs on. In this role, you'll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be deploying and maintaining reliable, secure infrastructure that the rest of our AI services depend on. Requirements shift quickly as mission needs evolve and new technologies emerge, so you'll keep sharpening your skills and learning to turn loosely defined problems into working solutions.

Responsibilities

• Deploy and maintain cloud infrastructure supporting the organization's AI capabilities (AWS, Kubernetes).


• Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments.


• Configure and use observability tooling to monitor the health and performance of production services.


• Support certificate management and follow established security best practices for AI systems and data.


• Collaborate with other teams in the organization to provision and configure the infrastructure their services depend on.


• Diagnose and help resolve production infrastructure issues.

Candidates should have the following qualifications:

• TS/SCI Clearance with polygraph


• 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Skills Requirements

• Proficiency with Python or another modern programming language.


• Familiarity with AWS or other cloud service providers.


• Understanding of containerization concepts and tooling such as Docker.


• Ability to learn new technologies quickly.


• Strong communication skills and a willingness to ask questions.

Nice to Haves

• Experience with AWS services such as EKS, Terraform, and IAM.


• Experience with Kubernetes and Helm/Kustomize.


• Experience with Argo CD and/or other CI/CD frameworks.


• Experience with the Elastic Stack (Kibana), Grafana/Prometheus, or other observability tools and practices.


• Experience with certificate management.


• Experience supporting cloud-native architecture or maintaining production software and infrastructure.


• Familiarity with LLMs and AI hosting concepts.

Perks and Benefits

• 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program


• 10% matching in 401(k) contributions vested on day one


• $5,000 annual training/tuition


• Student Loan Repayment Program


• 100% company-funded HSA


• Rich medical coverage (100% coinsurance)


• Dental coverage including orthodontia


• Up to $420,000 in life insurance, premiums 100% company funded


• Amazon Prime, gym reimbursement, monthly lunches, games and prizes


• Pet adoption program, generous referral bonus program, fun events, and more!

At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development.

Salary Range: $70,000 to $190,000

Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.