Staff Backend Engineer
About this 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. 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:
Staff Backend Engineer (Distributed Systems, SaaS & 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 Staff Backend Engineer to design and evolve the distributed systems powering Kaseya’s SaaS platform. This is a hands-on technical leadership role focused on building scalable backend services, improving platform reliability, and enabling AI-powered product capabilities. You’ll partner with Product, Data, Platform, and Engineering teams to deliver production-ready systems that support high-volume customer workloads.
Roles & Responsibilities
- Design and build scalable backend services for a multi-tenant SaaS platform
- Architect distributed systems supporting high-volume transactional and event-driven workloads
- Design APIs, service integrations, and messaging patterns that support platform scalability and reliability
- Improve observability, monitoring, performance, and operational readiness across production systems
- Partner with Data and ML teams to integrate AI-powered capabilities into customer-facing workflows
- Participate in incident response, root cause analysis, and reliability improvement initiatives
- Lead technical design reviews and contribute to long-term platform architecture decisions
- Mentor engineers and promote engineering best practices across teams
Required Qualifications
- 8+ years of software engineering experience building production systems
- Experience designing and operating distributed systems in a cloud environment
- Experience building backend services using Go, Java, Python, Node.js/TypeScript, Rust, or similar technologies
- Experience designing APIs, microservices, and event-driven architectures
- Experience working with AWS, Azure, or GCP
Preferred Qualifications
- Experience operating systems supporting large-scale or high-volume workloads
- Experience with messaging technologies such as Kafka, RabbitMQ, SQS, or Pub/Sub
- Experience with observability platforms such as Datadog, Prometheus, Grafana, or OpenTelemetry
- Experience leading platform modernization or large-scale architecture initiatives
- Experience integrating AI or machine learning capabilities into production systems
- Experience mentoring engineers and leading technical design reviews
- Experience working with relational databases and distributed caching technologies
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.
Salary - 220,000 - 250,000 CAD
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.
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