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 Software Engineer to join our intel team. Description: Join CNO's Custom Media Operations team, recent winners of the President's Intelligence Advisory Board Killian Award for outstanding mission support. CMO is leading the charge on AI/ML capabilities in the IC. You will support the team in full-stack web development efforts that connect CMO's capabilities with their customers. This is a small team, so you will see products through their full lifecycle and take full ownership of their success. Responsibilities: · Build a full stack application in collaboration with machine learning and artificial intelligence engineers doing novel computer vision model development. · Interact with ML/AI engineers, senior stakeholders, and CMO customers to provide the best possible user experience for all involved. · Continue development of the CMO homepage and website, which is not only customers' first impression of the organization but also used by CMO to track individual deliverables through their workflow and includes self-service features for the CMO team. · Prototype future capabilities with the CMO data science team as they generate new ideas to meet their customers' needs.
Candidates should have the following qualifications:
TS/SCI Clearance with polygraph
12 yrs., B.S. or 10 yrs. w/ M.S., 4 yrs. of additional SWE experience may be substituted for a bachelor’s degree.
Successful applicants must be self-starters, capable of scoping and tracking work through completion, working closely with a team and stakeholders, reaching out to users to iterate on new capabilities, and testing and deploying their software.
Experience developing web applications, with AT LEAST one of the following:
Java and Spring Boot
JavaScript and ReactJS
Ability to manage production applications through Docker and the Linux command line · Understanding of source code management including Git, CI/CD
Candidates are desired to have the following skills:
Machine learning experience, or experience working with data scientists and deploying ML models
Experience with User Experience Design
Experience with AWS services like EC2, VPC, Fargate
Python/Flask development experience
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.