about 3 hours ago
Remote, India
Staff+
H1B Sponsor
Responsibilities
- Ship high-quality data/ML/AI powered features end-to-end.
- Integrate data/ML/AI capabilities into real customer workflows.
- Raise the bar on design, reliability, performance, and engineering practices across the organization.
- Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform.
- Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions.
- Drive the evolution of system architecture as the product and customer base scale.
- Build and maintain backend services and APIs that power product experiences.
- Deliver backend features end-to-end including data schemas and business logic.
- Collaborate with UX and product to ensure responsive and delightful product experiences.
- Partner with data scientists to embed data, ML, and AI capabilities into the product.
- Design APIs and UX flows that make ML/AI features reliable and understandable.
- Champion operability: monitoring, alerting, logging, and runbooks for services owned.
- Lead efforts to improve performance, scalability, and resilience of critical paths.
- Work with security and compliance to ensure features meet requirements.
- Participate in and help evolve on-call/incident response processes as a technical leader.
- Act as a technical mentor for multiple teams, raising the bar on code quality and design.
Requirements
- 10+ years of software engineering experience.
- Demonstrated experience shipping data/ML/AI powered SaaS products.
- Strong track record of owning and shipping complex, user-facing features end-to-end.
- Experience as a senior member of the technical staff guiding teams and owning critical production systems.
- Strong proficiency with at least one backend stack, such as Node.js, Java, Go, or Rust.
- Experience designing and building APIs, services, and integrations.
- Proficiency with Python and data analysis/modeling tools.
- Solid understanding of data modeling and storage concepts.
- Familiarity with data/ML/AI concepts and how ML models are exposed as services.
- Experience with cloud platforms (AWS/GCP/Azure), containers, and infrastructure.
- Strong habits around testing, CI/CD, code reviews, and incremental delivery.
Tech Stack
AWSAzureGoGoogle Cloud PlatformGraphQLgRPCJavaNode.jsPandasPythonPyTorchRustTypeScript
Categories
AI & MLBackendData EngineeringData ScienceFull Stack