Software Engineer, AI Engineer, Data Engineer

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ECS is seeking a Software Engineer to work in a hybrid remote/onsite capacity, with a minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Springfield, VA customer site. The position requires strong technical skills in software development and enterprise application integration. You will work closely with the technical team to develop, test, deploy, and maintain solutions in an Agile environment, promoting excellence in collaboration and customer service.

This role involves supporting a variety of projects including Artificial Intelligence/Machine Learning and Big Data/Cloud Solutions.

• Develop software solutions by consulting with stakeholders, studying information needs, and analyzing system flow, data usage, and work processes.
• Determine operational feasibility by evaluating problem definition and requirements, third‑party analysis, and proposed solutions.
• Estimate and meet timelines, working both independently and as a member of the larger team.
• Brief stakeholders by collecting, analyzing, and summarizing development and service issues.
• Improve operations by conducting systems analysis and recommending changes to processes.
• Develop software application tests and testing strategies to improve product development and deployed operations.
• Develop scripting solutions that automate manual processes to support throughput demands.
• Embrace challenges with enthusiasm to develop imaginative solutions to unique operational problems.
• Must be able to work in person a minimum of 3 days per week.

We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. We are situated in Merrifield, VA with a customer location in Springfield, VA and offer a flexible work schedule. Our growing program works with forward‑leaning technologies within the AI/ML domain.

We offer highly competitive compensation and benefits.

• Bachelor’s degree in Computer Science or related IT field, or equivalent experience.
• US citizenship.
• Active Secret Security Clearance and ability to obtain a TS/SCI Security Clearance.
• 4–6+ years of experience designing, coding, deploying, and supporting enterprise‑level systems.
• Proficiency with multiple programming languages such as C++, Python, and JavaScript.
• Strong analytical and reasoning skills with an ability to visualize processes and anticipate outcomes.
• Experience with brownfield applications, identifying opportunities for improvement and designing/implementing new features.
• Experience with Dev Sec Ops  frameworks (e.g., Git Lab, Jira).
• Experience developing architecture/system diagrams and data flow diagrams.
• Experience with containerization/orchestration technologies (e.g., Kubernetes, Open Shift).
• Experience with Linux command‑line interface (CLI) including scripting.
• Experience working in an Agile environment.
• Excellent communication/presentation skills to make recommendations to stakeholders with varying degrees of technical awareness.
• Ability to quickly grasp and leverage new technologies.
• Ability to work in a fast‑paced environment.
• Ability to travel (less than 10%) to mostly CONUS locations.

• Active Top Secret Clearance with SCI eligibility.
• Active Counterintelligence Polygraph.
• Master’s degree in Engineering, Computer Science or a related technical field.
• DoD Approved 8570, IAT Level II Certification (e.g., CySA+, Security+).
• 7+ years of experience designing, coding, deploying, and supporting enterprise‑level systems.
• Experience with UI frameworks (e.g., React).
• Experience with automation engines (e.g., Ansible).
• Experience utilizing big data tools (e.g., Airflow, Django, Elasticsearch, Postgre
  
  SQL).
• Experience with cloud technologies (e.g., AWS, Azure).
• Experience in computer vision, computer graphics, and homography.
• Experience with Geographic Information System (GIS) data.
• Experience in CUDA programming.
• Experience with Machine Learning (ML) algorithms.
• Experience working with Department of Defense (DoD) organizations or…