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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.
Job Responsibility:
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
Requirements:
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)
Nice to have:
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