Scale AI Software Engineer on Platform Engineering team to design and develop foundational platforms and systems at Scale AI. Focus on cloud infrastructure, orchestration, and improving software development lifecycle.
Responsibilities
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.
Ideally you’d have:
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).
Qualification
Excitement to work with AI technologies
Required
3+ years of full-time engineering experience post-graduation
Extensive experience in software development
Deep understanding of distributed systems and public cloud platforms (AWS preferred)
Experience with containerization and deployment technologies like Kubernetes, Terraform, Docker
Experience with orchestration platforms such as Temporal and AWS Step Functions
Experience with NoSQL document databases (MongoDB)
Preferred
Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
Experience scaling products at hyper-growth startups.