CGI Federal is seeking a Senior Technical Lead responsible for guiding and overseeing the development and maintenance of web and mobile applications hosted on cloud and container-based solutions for a Federal Customer. This position requires comprehensive understanding of 3-tier applications, the ability to design scalable and secure frontend and backend solutions, build, train, and deploy machine learning (ML) models, and the capability to lead and mentor a team of developers. The ideal candidate should be proficient in managing the full stack technical lifecycle of applications, from planning and design through development, deployment, and ongoing support. Delivery requires a strong presence in the National Capital Region while working in a hybrid low and high-side development environments.
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 cloud and container-based web and 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.
• Develop and maintain technical strategies to ensure effective application development and integration between new and existing applications.
• 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 ML solutions such as Generative Artificial Intelligence (Gen-AI) that accelerate document analysis, synthesis, and generations based on interaction with Gen-AI models. This includes ensuring that the ML models are compatible with the system's architecture and can effectively interact with other components of the system on low and high side domains.
• Design and implement the infrastructure needed to deploy ML models, which includes selecting and integrating appropriate software and hardware platforms, creating data pipeline
• Bachelor’s degree in engineering, computer science, data science, mathematics, or similar technical discipline.
• Experience leading teams of application developers.
• Experience with managed cloud database services such as Amazon RDS to perform full stack 3-tier application development tasks such as User Interface (UI), application programming interface (API), data tier development.
• Understanding of building new applications and modernizing existing systems to integrate with data polyglots including relational, data warehouses, in-memory, document, vector, and graph databases.
• Deep understanding of IT infrastructure tasks including DevSecOps, Continuous Integration & Continuous Delivery (CI/CD), infrastructure as code (IaC), backup and disaster recovery strategies, and implementing both cloud-native and container-based highly available and scalable solutions.
• Understanding of Machine Learning concepts and knowledge of basic ML 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.
• 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 along with knowledge of best practices and regulations like Risk Management Framework (RMF), Defense Information Systems Agency (DISA) Security Technical Implementation Guides (STIGs) guidance, and National Institute of Standards and Technology (NIST) Special Publication 800-53 catalog of database security controls.
• Experience working with data polyglots including relational, NOSQL, in-memory and graph databases. This includes migrating and transforming data between these disparate database engines, disaster recovery strategies, and implement
• Active TS/SCI with Poly REQUIRED
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and license and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $122,200.00 - $297,700.00.
CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:
• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Well-being programs
Due to the nature of this government contract, US Citizenship is required.
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