Software Engineer, Scale AI

• 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)
• Show a track record of independent ownership of successful engineering projects
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc
• Experience with orchestration platforms, such as Temporal and AWS Step Functions
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)

Desirable

• At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale
• This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale
• You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies
• Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements
• Collaborating with cross-functional teams to define, design, and deliver new features
• Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies