Systems Engineer

Wyetech is seeking an experienced Systems Engineer to support mission-critical technical risk analysis, enterprise systems engineering, and secure application development within the Intelligence Community.

The selected candidate will join a specialized technical team responsible for analyzing risks across enterprise and operational mission systems, networks, devices, and applications supporting a diverse portfolio of Government initiatives.

This position requires strong expertise in Python, Neo4j, Amazon Web Services (AWS), Kubernetes, and secure back-end development, with an emphasis on designing scalable systems, maintaining graph databases, optimizing cloud infrastructure, and ensuring software reliability in high-security environments.

The ideal candidate possesses extensive experience developing enterprise applications, managing containerized cloud environments, implementing CI/CD pipelines, and applying security best practices to protect sensitive data and mission-critical systems.

Key Responsibilities

Systems Engineering & Technical Risk Analysis

• Support technical risk analysis across enterprise and operational mission systems, networks, devices, and applications.
• Analyze system architectures, technical dependencies, and operational requirements to identify potential risks and vulnerabilities.
• Collaborate with technical stakeholders to identify and prioritize system requirements.
• Evaluate system performance, scalability, security, and reliability to support mission objectives.
• Develop and recommend engineering solutions that address technical challenges and improve system functionality.
• Support the integration and sustainment of enterprise applications and supporting infrastructure.
• Identify opportunities to improve system availability, operational efficiency, and security.
• Provide technical recommendations and support engineering decisions across multiple Government initiatives.

Python Development & Back-End Engineering

• Design, develop, implement, and maintain scalable, secure, and highly available back-end systems using Python.
• Write efficient, maintainable, and scalable Python code following established development standards and best practices.
• Develop application components and services that integrate with Neo4j graph databases.
• Support the development of APIs, application services, and data processing capabilities.
• Collaborate with development teams to define technical requirements and implement software solutions.
• Troubleshoot, debug, and resolve complex application and integration issues.
• Optimize application performance, reliability, and resource utilization.
• Participate in software design reviews, code reviews, and technical discussions.
• Maintain technical documentation supporting application architecture, design, and functionality.

Neo4j Graph Database Engineering

• Design, develop, configure, and maintain Neo4j graph databases supporting enterprise applications.
• Ensure graph database integrity, performance, security, availability, and scalability.
• Develop and optimize data models supporting complex relationships and analytical requirements.
• Apply graph algorithms and data structures to support efficient data processing and analysis.
• Troubleshoot database performance, connectivity, and integration issues.
• Collaborate with software developers to integrate Neo4j capabilities into Python-based applications.
• Support database performance tuning and optimization.
• Maintain database configurations, technical documentation, and operational procedures.
• Implement appropriate database security controls to protect sensitive information.

AWS Cloud Infrastructure & Kubernetes Administration

• Manage, configure, and maintain Kubernetes clusters operating within AWS environments.
• Ensure Kubernetes infrastructure supports high availability, scalability, security, and operational reliability.
• Deploy, manage, and troubleshoot containerized applications and supporting services.
• Optimize Kubernetes deployments to improve performance, resource utilization, cost efficiency, and reliability.
• Monitor cluster health, application performance, and infrastructure availability.
• Troubleshoot container orchestration, networking, deployment, and configuration issues.
• Support secure integration between cloud infrastructure, applications, and databases.
• Implement configuration and operational improvements that strengthen infrastructure performance.
• Collaborate with cloud engineering and DevOps teams to support application deployment and sustainment.

CI/CD, DevOps & Automation

• Develop, maintain, and improve Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• Utilize tools such as Jenkins and GitLab CI/CD to support automated build, testing, and deployment processes.
• Support automation of application integration, validation, and deployment workflows.
• Identify opportunities to improve software delivery efficiency and consistency.
• Troubleshoot pipeline failures, deployment issues, and integration challenges.
• Collaborate with development teams to implement reliable software release processes.
• Support secure software development and deployment practices.
• Maintain documentation for automation workflows, CI/CD configurations, and deployment procedures.

Monitoring, Logging & Performance Optimization

• Utilize monitoring and logging technologies such as Prometheus, Grafana, and the Elastic Stack (ELK).
• Monitor application performance, infrastructure health, system availability, and operational metrics.
• Analyze logs and performance data to identify anomalies, errors, and potential system issues.
• Develop and maintain monitoring capabilities that improve operational visibility.
• Troubleshoot performance degradation, resource constraints, and application failures.
• Identify opportunities to optimize system efficiency and reliability.
• Collaborate with engineering teams to resolve complex infrastructure and application issues.
• Support proactive monitoring and continuous improvement of enterprise systems.

Cybersecurity & Secure Systems Engineering

• Develop and maintain software solutions operating within high-security environments.
• Adhere to established security protocols, compliance requirements, and secure development standards.
• Implement security best practices throughout application development and infrastructure management.
• Protect sensitive data through appropriate security controls and secure engineering practices.
• Identify and address potential security vulnerabilities affecting applications, databases, and cloud infrastructure.
• Support secure configuration and management of AWS and Kubernetes environments.
• Collaborate with cybersecurity professionals to ensure solutions meet applicable security requirements.
• Participate in technical risk assessments and security-related engineering activities.

Software Testing, Quality Assurance & Technical Leadership

• Develop and execute comprehensive testing strategies to ensure software quality, reliability, and performance.
• Conduct unit, integration, functional, and system testing as appropriate.
• Participate in code reviews to ensure adherence to established coding standards and engineering best practices.
• Troubleshoot and debug complex technical issues across applications, databases, and infrastructure.
• Collaborate with developers and stakeholders to resolve defects and improve software functionality.
• Provide technical guidance, mentorship, and support to junior developers.
• Assist with technical planning, task prioritization, and implementation decisions.
• Support the delivery of high-quality software solutions that meet mission requirements.
• Document testing results, technical issues, corrective actions, and engineering recommendations.

Required Qualifications

• Active TS/SCI security clearance with current Full Scope Polygraph (FSP) is required.
• Demonstrated experience designing, developing, and maintaining scalable, secure, and highly available back-end systems using Python and Neo4j.
• Experience developing and maintaining Neo4j graph databases, including data integrity, performance optimization, and scalability.
• Strong Python programming experience, including adherence to coding standards and software development best practices.
• Experience collaborating with development teams to identify, define, and prioritize technical requirements.
• Experience working with cross-functional development teams to deliver enterprise software solutions.
• Demonstrated ability to provide technical guidance, mentorship, and support to junior developers.
• Experience implementing and maintaining CI/CD pipelines, including Jenkins, GitLab CI/CD, or comparable technologies.
• Familiarity with monitoring and logging technologies, including Prometheus, Grafana, and the ELK Stack.
• Knowledge of graph algorithms and data structures.
• Experience with additional programming languages, such as Java or C++.
• Experience managing and maintaining Kubernetes clusters within AWS environments.
• Experience optimizing Kubernetes deployments for performance, cost efficiency, scalability, and reliability.
• Experience developing and maintaining applications within high-security environments.
• Knowledge of secure software development practices, security protocols, and compliance requirements.
• Experience implementing security controls to protect sensitive data and maintain system integrity.
• Experience developing and executing software testing strategies to ensure quality and reliability.
• Experience conducting code reviews and enforcing software development standards.
• Strong troubleshooting and debugging skills, including the ability to resolve complex application and infrastructure issues.
• Excellent analytical, problem-solving, written communication, and collaboration skills.

Preferred Qualifications

• AWS Certified Developer – Associate certification.
• AWS Certified Developer – Professional certification, or comparable advanced AWS certification.
• Certified Kubernetes Administrator (CKA) certification.
• Certified Kubernetes Application Developer (CKAD) certification.
• Advanced experience optimizing Neo4j graph database performance and scalability.
• Experience developing Python applications that integrate with large-scale graph databases.
• Experience implementing secure, highly available AWS cloud architectures.
• Experience automating Kubernetes deployments and infrastructure management.
• Experience developing enterprise-level monitoring and logging solutions.
• Experience supporting technical risk analysis within Intelligence Community or other high-security environments.

Additional Technical Capabilities

• Develop scalable enterprise software solutions supporting mission-critical operations.
• Design and maintain graph-based applications and data models using Neo4j.
• Support technical risk analysis across complex systems, networks, devices, and applications.
• Develop reusable Python components and back-end services.
• Optimize graph database performance, query efficiency, and data integrity.
• Manage Kubernetes clusters and containerized applications in AWS environments.
• Implement secure CI/CD pipelines and automated software deployment workflows.
• Integrate monitoring and logging technologies to improve operational visibility.
• Apply graph algorithms and data structures to solve complex technical challenges.
• Support secure software development and data protection requirements.
• Conduct comprehensive software testing, code reviews, and technical troubleshooting.
• Provide technical mentorship and collaborate with development teams to deliver reliable engineering solutions.
• Support continuous improvement of enterprise applications, cloud infrastructure, and engineering processes.

Clearance Requirements

Active TS/SCI security clearance with current Full Scope Polygraph (FSP) is required.

Due to federal contract requirements, United States Citizenship and position-appropriate security clearance are required.

The Wyetech Advantage

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