Software Engineer 4

Job Description

Job Description

Principal Software Engineer (SWE4) – 

Wyetech is seeking a motivated Principal Software Engineer (SWE4) / Full-Stack Developer to support the Tradecraft Evolution mission. The successful candidate will work closely with mission stakeholders to capture requirements and design, develop, deploy, and sustain a production-ready Business Intelligence (BI), data warehousing, and advanced analytics environment.

This position requires expertise in full-stack software development, cloud computing, data engineering, business intelligence, and AI/ML operations. The Software Engineer will leverage Python, Java, R, and AWS cloud technologies to develop scalable enterprise analytics solutions, integrate diverse data sources, and deliver mission-critical capabilities that support intelligence analysis, operational decision-making, and technology discovery.

Required Skills/Experience:

• Strong proficiency in object-oriented programming and software development using Python, Java, and R.

• Extensive experience designing, developing, deploying, and sustaining full-stack software applications and enterprise analytics solutions.

• Experience with AWS cloud computing, including provisioning, configuring, and managing AWS resources.

• Experience designing and implementing enterprise data warehousing solutions.

• Experience developing and integrating Business Intelligence solutions using Tableau and Power BI.

• Experience creating enterprise dashboards, analytics products, and reporting capabilities.

• Experience with data engineering, data integration, and advanced analytics.

• Experience developing APIs and integrating disparate data sources to support business intelligence and mission analytics.

• Experience with Jupyter Notebooks for data analysis, development, and experimentation.

• Experience with AI/ML operations (MLOps), including deploying and operationalizing machine learning models.

• Experience with Docker containerization and Kubernetes orchestration.

• Experience developing and maintaining automated end-to-end data processing and machine learning pipelines.

• Experience with Large Language Models (LLMs), including prompt engineering and performance optimization.

• Ability to collaborate directly with mission stakeholders to gather requirements and translate operational needs into technical solutions.

• Experience supporting the full software development life cycle, including requirements analysis, design, implementation, testing, integration, deployment, and maintenance.

Desired Technical Skills:

• Knowledge of SIGINT architectures and intelligence mission environments.

• Experience with Apache NiFi dataflows and data integration.

• Familiarity with customer corporate tools, systems, and data repositories.

• Experience supporting advanced analytics, analytic watermarking, and sandbox environments.

• Experience developing and implementing pilot initiatives and emerging technology solutions.

• Experience integrating AI/ML capabilities into enterprise business intelligence and analytics environments.

• Experience optimizing cloud-based applications for scalability, security, reliability, and operational efficiency.

• Demonstrated technical leadership and experience mentoring or guiding software development teams.

The Software Engineer analyzes, designs, verifies, validates, implements, applies, and maintains complex software systems. Applies principles of computer science, discrete mathematics, probability, statistics, and supporting technical disciplines to develop scalable and effective software solutions.

The Software Engineer generalizes development techniques across multiple domains, develops appropriate technical documentation and training materials, and presents briefings and demonstrations to stakeholders. The position requires strong analytical capabilities, advanced programming expertise, and the ability to deliver reliable software solutions that meet evolving mission requirements.

Capabilities:

• Design, develop, implement, test, deploy, and maintain complex software systems and enterprise applications.

• Apply computer science principles, algorithms, discrete mathematics, probability, and statistics to software engineering challenges.

• Analyze mission and user requirements to develop scalable, secure, and maintainable software solutions.

• Design and implement full-stack applications that integrate backend services, APIs, databases, and user-facing analytics tools.

• Develop and sustain enterprise Business Intelligence and data warehousing environments.

• Provision, configure, and integrate AWS cloud resources to support software development and analytics operations.

• Develop and integrate Tableau and Power BI dashboards to support mission reporting and operational decision-making.

• Create APIs and analytical capabilities that leverage disparate data sources to address knowledge gaps in user activities, collection efforts, and technology discovery.

• Design and implement data processing, transformation, and integration workflows.

• Support advanced analytics, analytic watermarking, sandbox environments, and pilot initiatives.

• Develop and operationalize AI/ML models using MLOps methodologies and automated deployment pipelines.

• Implement Docker containerization and Kubernetes orchestration to support scalable AI/ML applications.

• Optimize Large Language Model performance through advanced prompt engineering and integration with enterprise analytics solutions.

• Collaborate with mission stakeholders, data engineers, analysts, and technical teams to define requirements and deliver production-ready capabilities.

• Evaluate software designs and implementations to ensure functionality, reliability, security, and maintainability.

• Develop technical documentation, training materials, and software engineering artifacts.

• Present technical briefings, demonstrations, and solution recommendations to stakeholders.

• Provide technical guidance and leadership throughout the software development life cycle.

Qualifications:

Candidates must meet one (1) of the following education and experience combinations:

• Bachelor's Degree in Computer Science or a qualifying related field and a minimum of eleven (11) years of relevant experience.

• Master's Degree in Computer Science or a qualifying related field and a minimum of nine (9) years of relevant experience.

• Doctoral Degree in Computer Science or a qualifying related field and a minimum of seven (7) years of relevant experience.

• Associate's Degree and a minimum of thirteen (13) years of relevant experience may be considered for candidates with substantial, directly related experience.

Degree Requirements:

A degree in Computer Science is preferred. Related degrees, including Engineering or Mathematics, may be considered if the academic program includes a concentration of coursework in the following foundational Computer Science areas:

• Algorithms

• Computer architecture (excluding network architecture)

• Programming methodologies and languages

• Data structures

• Logic and computation

• Advanced mathematics, including calculus and discrete mathematics

Information Technology (IT) or Information Systems (IS) degrees may be considered if the coursework is equivalent in content and depth to a Computer Science major.

Relevant Experience Requirements:

• Relevant experience must include software development and programming.

• Experience must encompass applicable aspects of the software development process, including requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance.

• Strong proficiency with Python, Java, R, AWS cloud technologies, data engineering, business intelligence, AI/ML operations, and Jupyter Notebooks.

• Formal or informal technical leadership experience is preferred.

Security Clearance Requirements:

• Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance with a polygraph is required.

• Due to federal contract requirements, United States Citizenship and an active TS/SCI security clearance with a polygraph are required.

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.

• Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

Additional benefits include:

• Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:

• A Choice of Medical Plan Options, some with Health Savings Account (HSA)

• Vision and Dental

• Life and AD&D Benefits

• Short and Long-Term Disability

• Hospital Indemnity, Accident, and Critical Illness Insurances

• Optional Identity Theft and Legal Protection Services

• Employee Referral Bonus Eligibility up to $10,000

• Mobility Among Wyetech-supported Contracts

• Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS

• Various team-building events throughout the year, such as monthly lunches, summer company picnic, and an annual holiday party.

• Employees receive two complimentary branded clothing orders annually.

Hourly Pay Range: $92.54–$125.31

Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications; and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts.

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Affirmative Action Statement:

Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.

Accommodations:

Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or View email address on ziprecruiter.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates.

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