Senior Platform Engineer: AI Infra & Data Platforms

Scaleai; San Francisco, New York (CA, NY); On-site; USD 216,000 - 270,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision

Retirement plan

Learning stipend

Generous PTO

Equity

Commuter stipend

Job summary

United States Digital Space LLC is seeking a Platform Engineer to design and build foundational data platforms and core cloud infrastructure. You will work with stakeholders to refine requirements and shape how engineers develop, test, and deploy software at Scale.

You should have 3+ years in backend engineering, strong distributed systems knowledge, and fluency with Kubernetes, Terraform, Docker, Temporal, and AWS Step Functions.

Qualifications

• 3+ years of full-time engineering experience, post-graduation in backend systems.
• Experience with distributed systems and public cloud platforms (AWS).
• Track record of independent ownership of engineering projects.
• Excellent communication and collaboration with non-technical stakeholders.
• Experience with containerization and deployment technologies (Kubernetes, Docker).
• Experience with orchestration platforms (Temporal, AWS Step Functions).
• Experience with NoSQL document databases (MongoDB) and relational databases (Postgres).
• Strong knowledge of CI/CD tooling (CircleCI).

Responsibilities

• Design and implement foundational platforms and systems.
• Collaborate with cross-functional teams to define and deliver features.
• Identify and drive improvements to development processes and tooling.
• Present technical information to stakeholders and provide guidance.

Skills

Back-end development

Distributed systems

Public cloud (AWS)

Independent ownership

Communication skills

Tools

Kubernetes

Terraform

Docker

Temporal

AWS Step Functions

MongoDB

Postgres

CircleCI

Job description

United States Digital Space LLC is seeking a Platform Engineer to design and build foundational data platforms and core cloud infrastructure. You will work with stakeholders to refine requirements and shape how engineers develop, test, and deploy software at Scale.

You should have 3+ years in backend engineering, strong distributed systems knowledge, and fluency with Kubernetes, Terraform, Docker, Temporal, and AWS Step Functions.