Software Engineer 4
Wyetech, LLC
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Job summary
Wyetech, LLC is seeking a Principal Software Engineer (SWE4) to lead full-stack analytics and enterprise BI initiatives. You will design, develop, deploy, and sustain data-driven solutions in a cloud environment, collaborating with stakeholders to capture requirements and deliver mission-critical capabilities for analytics and decision-making.
The role emphasizes Python/Java/R development, AWS, data warehousing, BI tools (Tableau/Power BI), and AI/ML operations, with strong emphasis on scalable
Qualifications
- Strong OO programming in Python/Java/R; enterprise analytics focus.
- ,
Responsibilities
- Design, develop, deploy, and sustain full-stack analytics applications.
Skills
Education
Tools
Job description
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.
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
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