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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. We are seeking highly experienced Software Engineer to join our dynamic team.  The ideal candidate will have advanced expertise in Python development, cloud technologies, and DevOps best practices. This role requires a problem-solver with passion for building scalable, high-performance systems and insuring their reliable deployment and maintenance. You will be working closely with analysts, data scientists, and other software engineers to integrate AI/ML technologies.

Responsibilities:

+ Develop and maintain scalable, secure Python applications, APIs, and microservices.

+ Design, implement, and manage cloud infrastructure using common cloud technology providers.

+ Utilize DevOps best practices to integrate CI/CD pipelines for automated testing and deployment.

+ Optimize and troubleshoot system performance, scalability, and reliability in cloud environments.

+ Collaborate with cross-functional teams (product, QA, data engineers) to ensure application and infrastructure meet business requirements.

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.

+ Production-grade software development experience in Python.

+ Experience with deployment and management of services in cloud-based hosting environments such as AWS/Azure.

+ Service containerization and deployment with Docker/Kubernetes.

+ Familiarity with Git.

+ Atlassian Tools (Jira, Confluence).

Candidates are desired to have the following skills:

+ Experience with additional programming languages (e.g., Python, Go, Java).

+ Familiarity with network architecture and cloud networking components (VPC, VPN, Load Balancers).

+ Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, or Microsoft Azure certifications.

+ Experience with data engineering or managing large-scale data pipelines.

+ Experience in container security or securing Kubernetes clusters and workloads.

+ Familiarity with data storage systems (e.g., relational, NoSQL, or data lakes).

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.

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