Tech Lead/Software Engineer (TS/SCI with Poly Required)

GCI embodies excellence, integrity, and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leveraging the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

About the role

The Software Engineer will serve as a technical lead responsible for designing, developing, integrating, and implementing enterprise-scale data processing and software solutions. The position will lead technical teams and design efforts supporting the management, processing, storage, and retrieval of high-volume, disparate, and near-real-time data. The role requires strong experience across software engineering, cloud architectures, distributed systems, data platforms, APIs, databases, infrastructure, security, testing, and the Software Development Lifecycle (SDLC).

Responsibilities

• Lead a technical team in designing, developing, integrating, and implementing data processing solutions, ensuring effective data management, storage, retrieval, and troubleshooting of data-related issues, while participating throughout the SDLC, including requirements analysis, architecture and design, development, integration, testing, deployment, and operations.
• Solicit and identify customer and user needs and translate those needs into effective data, software, and technology solutions, ensuring project objectives and technical deliverables are achieved on schedule and meet user, functional, business, and mission requirements.
• Lead technical design discussions, architecture reviews, and solution development activities, including the design and engineering of integrated technical solutions capable of processing and exploiting disparate, high-volume, and streaming data to support near-real-time operational requirements.
• Design, develop, and maintain scalable distributed systems and big data platforms, and integrate modern technologies and capabilities into existing systems to improve functionality, scalability, performance, and mission effectiveness.
• Support the transition of legacy IT solutions to cloud environments and engineer solutions that leverage cloud-native capabilities, while driving continuous improvement, modernization, automation, and innovation across software development and engineering processes.
• Debug, troubleshoot, and resolve complex production and data-related issues, while identifying, assessing, and mitigating technical and operational risks throughout the project lifecycle.
• Serve as a primary technical liaison with customers and cross-functional stakeholders, providing regular project updates, status reports, technical briefings, strategic insights, project briefings, and technical presentations; managing expectations; supporting customer satisfaction; and communicating clearly, candidly, and continuously with technical and non-technical stakeholders.
• Collaborate with software engineers, data engineers, architects, infrastructure teams, security teams, customers, and other cross-functional stakeholders to align technical solutions with business and mission objectives and ensure successful project execution and delivery.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• Minimum of eight (8) years of experience in software engineering, systems architecture, enterprise architecture, technical leadership, or related technical roles.
• Demonstrated experience designing, implementing, and supporting enterprise-scale software solutions, cloud architectures, and distributed systems.
• Demonstrated experience leading technical teams and/or serving in a technical leadership capacity.
• Demonstrated expertise with object-oriented programming languages such as Python, Java, JavaScript, C++, C#, or similar languages, with experience coding across technology stacks and developing production-quality software.
• Demonstrated experience leading software design discussions and architecture reviews, with practical experience in software architecture, APIs, databases, cloud/infrastructure, testing, security, and the Software Development Lifecycle (SDLC).
• Demonstrated experience engineering integrated technical solutions for disparate, high-volume data types, including streaming data, to support near-real-time operational requirements, including experience with big data technologies and developing scalable data platforms and solutions.
• Demonstrated experience transitioning legacy IT solutions, in whole or in part, to cloud environments, leading and working in cloud environments, and engineering solutions that leverage cloud platform capabilities.
• Demonstrated experience integrating new and modern technologies into existing systems to advance capabilities and meet user, functional, and strategic requirements.
• Demonstrated experience troubleshooting and resolving complex production issues, identifying technical and operational risks, and developing appropriate mitigation strategies.
• Demonstrated ability to collaborate effectively with cross-functional technical and business teams and communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• US Citizenship and an active/current TS/SCI with Polygraph clearance.

Qualifications

• Advanced degree (MS or Ph.D.) in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Familiarity with technologies and processes used to perform digital data and media forensics.
• Prior experience working with the customer on similar programs.
• Prior experience within the Intelligence Community (IC), particularly supporting counterterrorism missions.
• Experience with Infrastructure as Code (IaC) technologies such as AWS CloudFormation, Terraform, or AWS Cloud Development Kit (CDK).
• Familiarity with software development and deployment using Kubernetes and containerized infrastructure.
• Experience with processing technologies and/or data platforms.
• Experience with cloud-native architectures, distributed computing, data pipelines, and streaming data technologies.