Senior System Engineer
Role details
Job location
Tech stack
Job description
Applies systems engineering principles throughout the systems life cycle phases: Concept, Development, Production, Utilization, Support, and Retirement. Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Communicates with other program personnel, government overseers, and senior executives. Responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 process areas defined by ISO/IEC15288:
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Technical Process Area - Stakeholder Requirements Definition, Requirements Analysis, Architectural Design, Implementation, Integration, Verification, Transition, Validation, Operation, Maintenance, and Disposal.
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Project Process Area - Project Planning, Project Assessment and Control, Decision Management, Risk Management, Configuration Management, Information Management, and Measurement.
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Enterprise (Organizational Project-Enabling) Process Area - Project Portfolio Management, Infrastructure Management, Lifecycle Model Management, Human Resource Management, and Quality Management.
Requirements
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TS/SCI Clearance with polygraph
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A High School Diploma or GED plus nineteen (14) years of general system engineering experience.
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OR
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A Bachelor's degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus fifteen (10) years of systems engineering experience.
OR
- A Master's degree in a Qualified Engineering Field or a related discipline from an accredited college or university plus thirteen (8) years of systems engineering experience.
OR
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A PhD in a Qualified Engineering Field or a related discipline from an accredited college or university plus thirteen (8) years of systems engineering experience., + Cloud Architecture/ Cloud Engineer/ Platform Engineering (especially in AWS)
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AI/ML system design and implementation
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High-level understanding of the AI lifecycle (development, training, inference, monitoring)
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Experience with ML pipeline development, model deployment, and DevOps/MLOps
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Experience with Amazon SageMaker is a plus
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Excellent communication and collaboration skills with a variety of stakeholder groups, ability to proactively engage with these groups to understand requirements and inform system architecture decisions
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System security and networking (particularly the implementation of system security on classified systems)
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Data engineering and data lifecycle management
Benefits & conditions
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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
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10% matching in 401(k) contributions vested on day one
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$5,000 annual training/tuition
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Student Loan Repayment Program
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100% company-funded HSA
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Rich medical coverage (100% coinsurance)
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Dental coverage including orthodontia
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Up to $420,000 in life insurance, premiums 100% company funded
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Amazon Prime, gym reimbursement, monthly lunches, games and prizes
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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: $168,000 to $240,000