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Sr. Software Developer Engineer I - 260413-12

1 hour, 3 minutes ago
India
Full-time
Lead
Backend Engineer
Software Development
AWS Azure CI/CD GCP Go GraphQL gRPC Java JavaScript Machine Learning MLOps Node.js Pandas Python PyTorch REST API Rust TypeScript
Apply Now
Kaseya

Kaseya

Kaseya provides integrated IT management and security solutions for MSPs and SMBs, enabling centralized IT operations, remote management, cybersecurity, and automation.

IT Services
1K-5K
Founded 2000
$567M raised
View All Jobs 48

Description

  • Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform.
  • Design and deliver high-quality data/ML/AI-powered features end to end.
  • Integrate data, ML, and AI capabilities into real customer workflows.
  • Build and maintain backend services and APIs using REST, GraphQL, or gRPC.
  • Develop backend features end to end, including data schemas and business logic.
  • Collaborate with product, design, UX, data, ML, and MLOps teams to turn business problems into technical solutions.
  • Evolve system architecture as the product and customer base scale, including APIs, services, data flows, authentication, tenancy, and integrations.
  • Ensure services are operable through monitoring, alerting, logging, and runbooks.
  • Improve performance, scalability, and resilience of critical paths such as onboarding, reporting, and AI-assisted workflows.
  • Lead technical design reviews, mentor engineers, and help shape engineering standards and best practices.

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 technical contributor owning critical production systems.
  • Strong proficiency with at least one backend stack such as Node.js/TypeScript, Java, Go, Rust, or similar.
  • Proficiency with Python and data analysis or modeling tools such as pandas or PyTorch.
  • Solid understanding of data modeling and storage, including relational databases, caching, and basic data warehousing concepts.
  • Familiarity with data/ML/AI concepts, including exposing ML models or LLMs as services, failure modes, latency and throughput considerations, and guardrails.
  • Experience with cloud platforms such as AWS, GCP, or Azure, plus containers and infrastructure topics like networking, scaling, and security.
  • Strong habits around testing, CI/CD, code reviews, and incremental delivery.

Interested in this position?

Apply directly on the company website

Apply Now

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