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.
You will:
- 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).
- Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
Nice to haves:
- 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.
- Excitement to work with AI technologies.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is:
$180,000-$225,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
