Kaseya

SaaS

SeniorBackendEngineer(SaaS,Data&AI)

Canada Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Backend Engineer (SaaS, Data & AI) at Kaseya. Skills: SaaS backend systems design, Data & AI integration, API and service development, cloud platforms. Lead the design and delivery of SaaS products powered by data, machine learning, and AI. Build scalable backend systems”

What You'll Achieve.

Deliver reliable, high-impact features; Improve engineering standards across the organization; Ensure operational visibility and stability

Industry & Context.

SaaS

What They're Looking For.

Must Have

10+ years of software engineering experience in a production environment, Experience designing and building backend systems for SaaS applications, Experience delivering complex, user-facing features end-to-end in collaboration with Product teams, Experience building APIs and services (REST, GraphQL, or gRPC), Experience working with cloud platforms (AWS, GCP, or Azure), Experience integrating data, ML, or AI capabilities into production systems

Nice to Have

Experience with backend languages such as Node. js, Java, Go, or similar, Experience with Python and data-related tooling (e. g. , pandas, ML frameworks), Familiarity with data modeling, relational databases, and caching strategies, Understanding of ML/AI systems, including model integration and common failure modes, Experience working with containers and distributed systems, Experience mentoring engineers and contributing to engineering standards

What You'll Do.

Lead the design and delivery of SaaS products powered by data

Build scalable backend systems

Integrate ML/AI capabilities into real customer workflows

Drive technical direction across product areas

Deliver backend features end-to-end

Improve system performance

How You'll Work.

Team & Collaboration

Work closely with Product, Design, and Data teams; Collaborate with Product teams to deliver features; Partner with Product, Design, and Data/ML teams; Lead design reviews; Mentor engineers

Full Job Description

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. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success. Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide. Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. Job Title: Senior Backend Engineer (SaaS, Data & AI) Why Kaseya? Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a highimpact role. Join the Kaseya growth rocket ship and see how we are #ChangingLives! Job Summary We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building scalable backend systems, integrating ML/AI capabilities into real customer workflows, and driving technical direction across product areas. You’ll work closely with Product, Design, and Data teams to deliver reliable, high-impact features and improve engineering standards across the organization. Roles & Responsibilities Own the architecture and technical direction for backend systems within a multi-tenant SaaS platfor

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