Software Systems Integrator

SAIC•Arlington, VA

2d•Hybrid

About The Position

Join the Data Feed Integration (DFI) team on the Advanced Battle Management System (ABMS) Cloud-Based Command and Control (CBC2) Program. In this role, you will support SAIC's efforts as the Lead Systems Integrator (LSI) by driving critical data feed integration initiatives. The DFI team plays a pivotal role in ensuring the seamless integration of external data feeds, API-based systems, and internal architectures, enabling mission success. This position is central to modernizing advanced Command and Control (C2) capabilities for DoW systems and advancing operational readiness. This position operates in a hybrid work environment with responsibilities divided between 25% travel (including installations and integration events in secure spaces), 25% in-office presence for team collaboration and operational needs, and 50% remote work for independent and team-oriented tasks. This is a unique position that blends technical, strategic, and collaborative responsibilities. You will manage repeatable, standardized integration processes while also developing custom solutions for complex challenges requiring deep knowledge of software networking, secure data exchange, and mission-critical system compatibility. Your contributions will directly impact the ABMS CBC2 program's success.

Requirements

Deep knowledge of software networking, secure data exchange, and mission-critical system compatibility.
Expertise in software networking, system protocols, and secure data exchange.
Ability to create, update, and present system diagrams, integration workflows, and technical architecture artifacts.
Experience writing and maintaining actionable Jira tickets.
Familiarity with cybersecurity collaboration and validation of architecture changes.
Experience with end-to-end testing for data feed integrations.
Lightweight scripting and software development skills for custom data transformations.

Responsibilities

Proactive Coordination: Take initiative to drive integration efforts forward by effectively coordinating across teams and stakeholders. Use clear, concise, and professional communication across various platforms (e.g., Mattermost, Teams, email) to ensure alignment, anticipate potential blockers, and facilitate timely resolution of issues.
Requirements Gathering: Collaborate with external stakeholders and internal teams to capture and analyze data feed requirements, ensuring compliance and alignment with cloud-based infrastructure and ABMS CBC2 architecture goals.
Standardized Processes: Employ and refine repeatable data feed integration processes to ensure efficiency, consistency, and scalability while meeting mission timelines and requirements.
Custom Solutions for Complex Scenarios: Analyze unique or technically challenging data exchange requirements, designing tailored solutions leveraging expertise in software networking, system protocols, and secure data exchange.
Data Mappings: Write comprehensive data mappings between external data formats (CSV, JSON, XML, Parquet, ORC, etc.) and the program’s internal data structures (UCI XML), ensuring seamless transformation into operationally relevant formats.
System Architecture and Diagrams: Create, update and present system diagrams, integration workflows, and technical architecture artifacts, clarifying how new and existing data flows connect to the overall system.
Work Coordination: Write and maintain actionable Jira tickets to guide development work, ensuring engineering teams clearly understand technical requirements, priorities, and milestones, and keeping tickets updated throughout the development lifecycle.
Cybersecurity Collaboration: Partner closely with cybersecurity teams to validate architecture changes, meet DoW security requirements, and obtain approval for new service connections by providing all necessary technical documentation, including system diagrams and technical details.
Testing and Troubleshooting: Oversee end-to-end testing for new data feed integrations, proactively identifying and resolving issues related to performance, data quality, and protocol mismatches.
Prototype Development: Engage in lightweight scripting and software development tasks to enable custom data transformations and improve integration workflows.