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Kaseya

Senior Software Engineer

Kaseya

Senior Software Engineer leading backend design and delivery for SaaS products at Kaseya. Focusing on AI, ML, and data integration within a multi-tenant architecture.

Posted 7/6/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in architecting and delivering scalable multi-tenant SaaS solutions, with a strong focus on data, ML, and AI integration. Proven ability to lead technical teams, mentor engineers, and establish best practices in API design, testing, and operational excellence.

Highest-signal resume keywords
10+ Years Of Software Engineering ExperienceData/ML/AI Powered SaaS Product DevelopmentBackend Stack Proficiency (Node.js/TypeScript, Java, Go, Rust)API Design And DevelopmentCloud Platform Experience (AWS, GCP, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringData AnalysisAPI DesignData ModelingBackend DevelopmentTesting And CI/CDData WarehousingMachine Learning ConceptsIntegration DevelopmentSecurity And Compliance
Soft Skills
Technical LeadershipCollaborationMentoringProblem SolvingCommunication
Tools & Technologies
RESTGraphQLGRPCPandasPyTorchAWSGCPAzureContainersMonitoring Tools
Industry Keywords
SaaSMulti-TenancyData PrivacyAuthenticationAuthorizationScalabilityResilienceUser ExperienceIncident ResponseObservability

Tech Stack

Tools & technologies
AWSAzureCloudGoGoogle Cloud PlatformGraphQLGRPCJavaJavaScriptNode.jsPandasPythonPyTorchRustTypeScript

About the role

Key responsibilities & impact
  • 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.
  • Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers.
  • 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).
  • Work with security and compliance to ensure features meet requirements around authentication, authorization, data privacy, and multi-tenancy.
  • 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, reviews, testing, and design.
  • Lead technical design reviews and cross-team architecture discussions, especially where product, data, and ML intersect.
  • Help define engineering standards and best practices (API design, frontend patterns, error handling, observability, testing).

Requirements

What you’ll need
  • 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 in collaboration with product management and UX
  • Experience as a senior member of the technical staff in guiding teams and owning critical production systems.
  • Strong proficiency with at least one backend stack, for example: Node.js/TypeScript, Java, Go, Rust, or similar
  • 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
  • Experience with cloud platforms (AWS / GCP / Azure), containers, and infrastructure (networking, scaling, security)
  • Strong habits around testing, CI/CD, code reviews, and incremental delivery.

Benefits

Comp & perks
  • Equal employment opportunity