Senior Backend Engineer (SaaS, Data & AI)

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.

Senior Backend Engineer (SaaS Data & AI)

Join a fast-growing company thats transforming the IT industry. At Kaseya youll 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!

Were 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. Youll work closely with Product Design and Data teams to deliver reliable high-impact features and improve engineering standards across the organization.

• Own the architecture and technical direction for backend systems within a multi-tenant SaaS platform
• Design and build APIs and services (REST GraphQL or gRPC) to support product features and integrations
• Deliver backend features end-to-end including data modeling business logic and system integration
• Partner with Product Design and Data/ML teams to translate business requirements into scalable solutions
• Integrate data ML and AI capabilities into product workflows (e.g. automation recommendations insights)
• Improve system performance scalability and reliability across critical services
• Implement monitoring logging and alerting to ensure operational visibility and stability
• Lead design reviews mentor engineers and contribute to engineering best practices

• 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

• Experience with backend languages such as 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

Kaseya provides equal employment opportunity to all employees 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 characteristic protected by applicable law.

Additional information
Kaseya provides equal employment opportunity to all employees 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 characteristic protected by applicable law.