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About the Role

We are seeking a Senior Full-Stack Software Engineer to join our AI-Native Engineering team. You will build customer-facing SaaS applications, solve complex engineering problems, and utilize AI-assisted development tools to enhance quality and delivery. This role involves owning complex features from design through production support, contributing to architecture, modernizing systems, and mentoring engineers.

Responsibilities

Deliver full-stack capabilities by designing and building Java/Spring services and React/TypeScript interfaces.
Build reliable backend systems, including APIs, integrations, data models, and distributed or event-driven workflows.
Create maintainable frontend experiences with responsive interfaces, thoughtful component design, state management, accessibility, and performance.
Own features through production, taking responsibility for technical design, implementation, automated testing, release, monitoring, and ongoing support.
Apply AI throughout development using coding agents for various stages of the lifecycle, validating generated changes.
Modernize existing software through incremental migrations, stronger test coverage, and architecture improvements.
Strengthen operational quality by improving CI/CD, observability, security, performance, and deployment reliability.
Provide hands-on technical leadership, contributing to design discussions, code reviews, and mentoring engineers.

Requirements

7+ years of software engineering experience building and supporting production SaaS or enterprise applications.
4+ years of production Java and Spring experience.
Hands-on experience delivering frontend applications using React and TypeScript.
Experience designing APIs, data models, integrations, and distributed or event-driven systems.
Experience building and operating applications on AWS, Azure, or GCP, including automated delivery and production support.
Practical experience using AI-assisted coding tools for implementation, testing, debugging, refactoring, documentation, or codebase analysis.
Strong engineering judgment with the ability to explain trade-offs, diagnose problems, and deliver maintainable solutions.
Demonstrated ownership of complex features and the ability to collaborate effectively across engineering and product teams.

Skills

Java
Spring
React
TypeScript
AWS
Azure
GCP
AI-assisted coding tools
Spring Boot
Spring Cloud
GraphQL
Hibernate
JDBC
Kafka
React application architecture
Relational databases
Microservices
Docker
Kubernetes
Infrastructure as code
Apache Stripes
JSP
Servlets
Automated testing
Observability
Reliability
Production operations
Claude Code

Location

Toronto, Canada

Work Type

Full-time

Experience Level

Senior

About the Company

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, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint, supporting customers in over 20 countries and managing over 15 million endpoints.
Founded in 2000, Kaseya looks for people who create, lean into hard problems, and treat challenges as raw material.
Everyone at Kaseya plays a role in shaping the future of IT.
We're building teams that grow, perform, and make an impact.
Kaseya builds IT management and cybersecurity solutions that help organizations operate securely and efficiently.
We’re modernizing how we design, build, test, and operate software by combining strong engineering fundamentals with AI-native development practices.

Equal Opportunity

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.