About the position
BigBear.ai is seeking a Technical Lead for a Data Science Application. This role involves leading a development team to design, develop, and deploy secure and maintainable capabilities on AWS cloud infrastructure, specifically for mission-critical operations. The Technical Lead will collaborate with cross-functional teams to develop analytic products and ensure the technical product vision is met.
Responsibilities
- Analyze and understand business needs and translate them into governance artifacts and product backlog items.
- Develop technical architecture that supports the development approach.
- Forecast and outline technical tasks that guide weekly development in support of technical projects.
- Partner with a government product owner and collaborate with a Data Science Team of 5-8 FTEs.
- Work with Product Manager, solution architects, and DevSecOps engineers to strategize system design and implementation for high availability, performance, and resiliency.
- Implement, tune, and troubleshoot infrastructure components of applications (e.g., AWS services, network, OS, PKI).
- Design and implement containerization resources using Infrastructure as Code (IaC) tools like Terraform.
- Design and implement common services and configurations (e.g., logging, SSO, VM Images) using IaC.
- Design and implement automated system management and monitoring capabilities that support resiliency and self-healing.
Requirements
- Must maintain TS-SCI clearance.
- Bachelor's degree + 4 years' practical experience OR Associates degree + 6 years' practical experience OR Master's degree + 2 years' practical experience OR 8 years' practical experience.
- Significant experience leading a team to develop an application on AWS platforms, from MVP to production deployment.
- Significant experience leading the use of Infrastructure-as-Code tools (e.g., Ansible, Terraform, AWS CloudFormation, Azure ARM Templates).
- Significant experience working in Government-owned secure networks (e.g., NIPR, SIPR, A-LAN, C-LAN).
- Significant hands-on experience developing software in Python (or similar).
- Significant experience conducting regular code, configuration, and architecture reviews to ensure technical quality and adherence to best practices.
- Experience developing, training, and evaluating AI/ML models.
- Some experience implementing and/or operating application containerization.
- Some experience with centralized log configuration and monitoring tools.
- Some experience configuring Role-Based Access Control (RBAC).
- Understanding of PKI and certificate management.
- Ability to be on-site 60% of the time at a client SCIF located in Washington D.C.
Nice-to-haves
- 2 years' experience building and maintaining systems within AWS.
- Experience incorporating AI / ML models and analytics into cloud products.
- Experience shepherding prototypes from POC to production.
- 2 years' experience maintaining systems through automated means (e.g., IaC, scripting).
- 1 year experience with Infrastructure-as-Code tools (e.g., Ansible, Terraform, AWS CloudFormation, Azure ARM Templates).
- 1 year leading a team of developers to develop MVPs and POCs.
- Experience working with AWS Top-Secret Cloud (i.e., C2S/C2E).
- Experience with event-based systems and/or asynchronous message queue infrastructure.
- Experience with multiple data solutions (e.g., AWS OpenSearch, NoSQL/Document, Indexed Search).
- Experience working in a Scrum based task/team structure (i.e. SAFe Agile 6.0).
- Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
- Familiarity and experience with the Department of Homeland Security (DHS).
