CGI Federal is seeking a Technical Lead responsible for guiding and overseeing the development and maintenance of mobile delivery applications for a Federal Customer. This candidate will spearhead the development and maintenance of cutting-edge mobile applications on platforms, including Apple iPads and Microsoft Surface tablets. In this role, it is critical to collaborate with cross-functional teams to design scalable, robust, and secure applications, ensuring exceptional performance and user experience. In addition to providing technical leadership, mentoring team members, and implementing best practices in coding, architecture, and security, this role will also manage project timelines, optimize application performance, and stay abreast of industry trends to drive continuous improvement and innovation.
This position is located in our Washington DC office; however, a hybrid working model is acceptable. Oversee all development work required to design, develop, and implement strategic architectural plans for delivery of mobile applications. This includes reporting on progress to Government leads, mission stakeholders, partners and customers at cross-team collaboration meetings and helping to identify opportunities to increase effectiveness, efficiency, scale, and impact.
Contribute to the design, testing, and deployment of applications while collaborating with cross-functional teams to achieve business goals. Focus areas of mobile applications include enabling collaborative delivery of briefings to senior leadership, leveraging Artificial Intelligence (AI) to generate finished intelligence recommendations, and measuring progress against client requirements.
Oversee all application development work and present overview briefings and updates to Government leads, partners, and customers. This includes reporting on business area progress at performance improvement meetings as well as helping to identify opportunities for increased effectiveness, efficiency, scale, and impact.
Assist the CGI Program Manager (PM) and Deputy PM (DPM) in distilling applications functional and non-functional requirements, communicating them to contract staff, and tracking progress against them.
Provide a technical need summary to the government program manager and government technical lead, giving the client a consolidated roundup across all development efforts, with a special focus on areas that need client intervention.
Build and integrate Machine Learning (ML) solutions such as Generative AI (Gen-AI) that provide finished intelligence recommendations, accelerate document analysis and synthesis.
Work closely with technical leads, database architects, data scientists, and Information Systems Security Officers (ISSO) to build and integrate applications and ensure secure and seamless data flow and accessibility with both internal and external systems.
Maintain daily communication with Government, CGI and other contractor leads on requirements, mission priorities, performance measures, program goals and milestones, and support needs.
Provide a technical need summary to the government program manager and government technical need, giving the client a consolidated roundup across all development efforts, with a special focus on areas that need client intervention.
Notify Government, CGI PM and DPM of any issues or trends that pose a risk to mission priorities.
Bachelors degree in engineering, computer science, data science, mathematics, or similar technical discipline.
10+ years' Experience leading teams of mobile application developers.
Experience with managed cloud services such as Amazon Web Services (AWS) to integrate and facilitate capabilities such as authentication and authorization, data storage and processing, REST Application Programming Interface (API) integration and content delivery.
Understanding of building new mobile delivery applications and modernizing existing systems to integrate with data polyglots including relational, data warehouses, in-memory, document, vector, and graph databases.
Understanding of ML concepts and knowledge of basic techniques, workflows, and algorithms like large language models, linear regression, object detection, and clustering can help in building, training, and deploying ML models into Production systems.
Strong knowledge of iOS and Windows app development technologies with strong understanding of programming languages such as Swift, Objective-C, C#, and .NET.
Experience with containerization technologies like Docker and Kubernetes clustering orchestration, and how to leverage them to automate the deployment, scaling and management of containerized microservice applications and architectures.
Understanding of data security and privacy regulations including knowledge of best practices and regulations like Risk Management Framework (RMF).
Excellent written and verbal communication skills to facilitate collaboration and teamwork among teams, ensure documentation is clear, concise, and comprehensive to serve as both deliverables as well as a guide to users, developers, and future team members.
Active TS/SCI with CI Poly required.
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