The opportunity
Scale AI is seeking a highly skilled and motivated Team Lead for our ARC (Architecture, Reliability, & Compute) team supporting our dynamic Public Sector Engineering team. As the lead of this team, you will define how the company ships software, establishing the patterns for…
What you'll do
Design and implement secure scalable backend systems for Public Sector: customers, leveraging Scale's modern and cloud-native AI infrastructure.
Provide mentorship to and manage the performance of the other team members
Own services or systems and define their long-term health goals, while also: improving the health of surrounding components.
Re-architect the stack to run in compliant or restrictive environments. This: requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.
Collaborate with cross-functional teams to define and execute the vision for: backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
Participate actively in customer engagements, working closely with: stakeholders to understand requirements and deliver innovative solutions.
What they're looking for
- Contribute to the platform roadmap and product strategy for Scale AI's Public: Sector business, playing a key role in shaping the future direction of our offerings.
- At least an active secret clearance. This is a requirement and candidates: will not be considered who do not hold at least a secret clearance
- Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
- Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
