Senior Software Engineer

Job Description

Job Description

Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021!

Belay Technologies is seeking a Senior 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 senior software engineer to support our AI infrastructure team. 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 ensuring access to the highest available quality LLMs to users throughout the inference software stack. 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: 

• Lead the evaluation, configuration, and deployment of inference models for our users.
• Translate high-level stakeholder goals into engineering outcomes.
• Mentor engineers and grow development best practices and standards for the team. 
• Develop in-house services and techniques to guarantee continual high-quality inference service for our customer. 
• Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs. 
• Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer. 

Candidates should have the following qualifications: 

• TS/SCI Clearance with polygraph
• 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Skills Requirements:

• Experience with Python and/or other modern programming languages. 
• Experience with Argo CD and/or other CI/CD frameworks. 
• Experience with Kubernetes/Helm. 
• Experience with AWS or other cloud service providers. 
• Strong communication skills and ability to mentor other engineers. 
• Excellent leadership and stakeholder management skills. 
• Ability to balance hands-on engineering with leadership and coordination responsibilities. 

Nice to Haves:

• Experience with vLLM, LiteLLM, or similar inference-serving frameworks. 
• Experience with other LLM hosting frameworks and practices. 
  Experience supporting production software using Site Reliability Engineering (SRE) best practices. 
• Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices. 
• Experience with Docker and containerization. 
• Experience in traffic shaping and quality-of-service engineering. 
• Knowledge of and interest in hosting AI capabilities. 

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: $190,000 to $240,000

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.
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 AI infrastructure team. 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 ensuring access to the highest available quality LLMs to users throughout the inference software stack. 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: Procure, configure, and test new inference models, preparing them for release to our user base.
Develop in-house services and techniques to guarantee continual high-quality inference service for our customer.
Work with model vendor teams and representatives to create reliable pipelines for closed-source model usage.
Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer.
Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs.
Skills Requirements: Experience with Python and/or other modern programming languages.
Familiarity with Argo CD and/or other CI/CD frameworks.
Experience with Kubernetes/Helm.
Familiarity with AWS or other cloud service providers.
Ability to learn new technologies quickly.
Strong communication skills and willingness to ask questions.
Nice to Haves: Experience with vLLM, LiteLLM, or similar inference-serving frameworks.
Experience with other LLM hosting frameworks and practices.
Experience supporting production software using Site Reliability Engineering (SRE) best practices.
Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices.
Experience with Docker and containerization.
Experience in traffic shaping and quality-of-service engineering.
Knowledge of and interest in hosting AI capabilities.
YOE Requirement: 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

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