Software Engineer

Shadow Objects•Washington, DC

17h•Remote

About The Position

We are seeking a highly skilled Software Engineer to support advanced system design, data analytics, and application development initiatives within a government contracting environment. This role requires a strong blend of systems architecture, data engineering, and analytical expertise to design, implement, and optimize complex systems that drive mission-critical decisions. The ideal candidate brings deep experience in data-driven systems, API development, machine learning integration, and scalable infrastructure, along with the ability to translate business needs into technical solutions.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field (or equivalent experience)
5–8+ years of experience in systems analysis, software engineering, or related technical roles
Strong experience with: Systems architecture and design
Strong experience with: API development and integration (RESTful services)
Strong experience with: Data processing and analytics
Strong experience with: Networking fundamentals (TCP/IP, HTTP, DNS)
Proficiency in one or more programming languages: Python, JavaScript/TypeScript, or similar
Experience with: Cloud infrastructure and distributed systems
Experience with: DevOps tools and CI/CD pipelines
Experience with: Linux-based environments
Ability to work independently and lead technical initiatives
Strong analytical, problem-solving, and communication skills

Nice To Haves

Experience with machine learning models or predictive analytics
Background in user behavior analytics or data-driven decision systems
Familiarity with: Web scraping or data extraction frameworks
Familiarity with: Reverse engineering or network traffic analysis
Familiarity with: Modern frameworks (Node.js, Express, etc.)
Experience supporting DoD or federal government contracts
Active Secret clearance (or ability to obtain)

Responsibilities

Analyze, design, and implement complex system solutions supporting large-scale data environments
Develop and maintain data pipelines, APIs, and system integrations to support operational and analytical needs
Lead efforts in system performance optimization, reliability engineering, and scalability improvements
Translate user requirements into technical specifications, workflows, and system architecture designs
Conduct data analysis and predictive modeling to support decision-making and operational insights
Design and implement automation tools and frameworks to streamline system processes
Support DevOps practices, including CI/CD pipelines, testing, and deployment
Collaborate with cross-functional teams, including developers, program managers, and government stakeholders
Troubleshoot system issues, identify root causes, and implement corrective solutions
Ensure systems comply with security, compliance, and government standards