- Location
- Toronto, Ontario · Canada - Remote
- Workplace
- Remote
- Department
- Engineering
- Seniority
- Senior
- Education
- Master
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 was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.
We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.
At Kaseya, we don't just raise the bar. We build it.
The Role:
We’re looking for a Senior Staff Engineer who thrives on solving complex problems and building and supporting secure, multitenant, fault-tolerant systems at scale. You’ll play a critical role in shaping multitenant architecture, writing high-quality code using latest AI development tools and delivering robust, high-performance applications that power our platform.
Working closely with cross-functional teams, you will leverage your expertise in Java, AWS, microservices, databases and expert usage of modern AI development tools to build robust solutions that drive our success. Your ability to balance deep technical knowledge, technical leadership skills with a collaborative mindset will be essential in shaping the future of our engineering landscape.
If you're passionate about building world-class software and thrive in an environment where innovation and excellence are valued, this could be the perfect role for you.
Key Responsibilities:
- Architect & Develop: Implement scalable, maintainable, and high-performance Java applications with a strong focus on microservices using latest AI development tools
- Cloud Solutions: Build and optimize cloud-based applications leveraging AWS services, including ECS, EC2, SQS, DynamoDB, and RDS (MySQL/PostgreSQL).
- Cross-Functional Collaboration: Work closely with product managers, DevOps engineers, and key stakeholders to define system requirements and deliver impactful software solutions.
- Technical Leadership: Lead architectural decisions and advocate for best practices while remaining hands-on in Java development.
- Problem-Solving: Diagnose and resolve complex technical challenges, ensuring system efficiency, reliability, and scalability.
- Mentorship & Knowledge Sharing: Guide and support less experienced developers, fostering best practices and continuous learning within the team.
Key Skills and Qualifications:
- Extensive Java Expertise: 7+ years of hands-on experience in Java development, including J2EE, Spring, and Hibernate
- Cloud Proficiency: Strong experience with AWS services such as ECS, EC2, Lambda, SQS, DynamoDB, RDS and Infrastructure as code (IaC)
- Database Expertise: Solid understanding of SQL and NOSQL databases with experience in database design, scaling, and optimization.
- Microservices Architecture: Proven experience designing and developing microservices using Spring Boot, Docker,
- Cloud-Native Development: Hands-on experience building and deploying applications in AWS environments.
- DevOps & CI/CD Knowledge: Proficiency in Git, Jenkins, and managing CI/CD pipelines.
- Strong understanding of monitoring and alerting solutions, including tools like Prometheus, Grafana, CloudWatch, to proactively manage system performance and reliability.
- Education & Experience: Bachelor's in computer science (or equivalent) with 10+ years of related experience; or Master's with 8+ years of related experience
Desired Skills:
- Demonstrated experience with Agentic AI and MCP, along with a deep, solid grasp of core AI principles and fundamentals.
- Strong Collaboration & Communication: Ability to work effectively with cross-functional teams to drive business and technical success.
- Problem-Solving Mindset: A keen analytical thinker with the ability to debug, optimize, and enhance complex applications.
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.