Kaseya Careers

Kaseya Careers

Staff Software Engineer

Canada, Remote · Staff+

Sponsorship not specified$249k-$269kDetected 13 days ago
TypeScriptPythonJavaGoRustNode.jsBackend DevelopmentFull-Stack DevelopmentCode ReviewAWSGCPAzureCloud PlatformsCI/CDAPI DevelopmentGraphQLRESTgRPCMachine LearningPyTorchPandasData AnalysisLLMsMLOps

About the role

  • About Kaseya Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide.
  • At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar.

Responsibilities

  • 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 our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale.
  • Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those 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 and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.).
  • Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions).
  • Champion operability: monitoring, alerting, logging, and runbooks for services you own.
  • Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows).

Skills

  • Strong proficiency with at least one backend stack, for example:
  • o Node.js/TypeScript, Java, Go, Rust, or similar
  • o Designing and building APIs, services, and integrations
  • Proficiency with Python and data analysis/modeling tools (e.g. pandas/pytorch)
  • Solid understanding of data modeling and storage: relational databases, caching, and basic data warehousing concepts.
  • Familiarity with data/ML/AI concepts:
  • o How ML models or LLMs are exposed as services
  • o Typical failure modes, latency/throughput considerations, and guardrails
  • Experience with cloud platforms (AWS / GCP / Azure), containers, and infrastructure (networking, scaling, security).
  • Strong habits around testing, CI/CD, code reviews, and incremental delivery.
  • Mindset & Soft Skills
  • Systems thinker who can balance short-term delivery with long-term architectural health.

Compensation

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Company info

  • Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers.

Visa & Work Authorization

  • oyees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other char
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This listing is sourced directly from Kaseya Careers's careers page and normalized into a canonical job model.