Senior Software Engineer

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 Software Engineer Platform Engineering (Backend Data & AI)

Location: Toronto ON
Work Model: Toronto-based; candidates must be local to Toronto or willing to relocate

Why Kaseya

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 high impact role.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

Were hiring a Senior Software Engineer to help build the core platform services that support Kaseyas next generation of SaaS products. This is a backend platform role focused on distributed systems event-driven architecture cloud-native services and production reliability. Youll work closely with Platform Data AI and Product Engineering teams to build services that support multiple products customers and engineering teams at scale.

Roles & Responsibilities

• Design build test deploy and operate backend platform services used across multiple SaaS products
• Build scalable APIs microservices event-driven systems and internal platform capabilities
• Develop systems that handle retries idempotency ordering backpressure failure recovery and replay
• Improve multi-tenant SaaS capabilities including tenant isolation RBAC auditability and security
• Own production systems including monitoring alerting debugging incident response and post-incident improvements
• Partner with Data and AI teams to support reliable data flows workflow orchestration RAG systems and production AI workflows
• Work with cloud-native infrastructure including AWS Azure or GCP Kubernetes Docker Terraform and CI/CD pipelines
• Participate in design reviews code reviews technical planning and mentorship across the engineering team

Required Qualifications

• 6 years of backend software engineering experience building production systems using Java Go Python Kotlin C# TypeScript or similar technologies
• Experience designing and operating distributed systems or multi-tenant SaaS platform services
• Experience building APIs microservices and event-driven systems using messaging or streaming technologies such as Kafka RabbitMQ SQS/SNS Pub/Sub or similar
• Experience working with cloud platforms such as AWS Azure or GCP and containerized deployments using Docker or Kubernetes
• Experience owning production services including monitoring incident response debugging and root-cause analysis

Preferred Qualifications

• Experience with multi-tenant SaaS capabilities such as RBAC authorization tenant isolation auditability or access control
• Experience with relational or NoSQL databases such as PostgreSQL MySQL DynamoDB Cassandra MongoDB Redis Elasticsearch ClickHouse or Snowflake
• Experience with observability tools such as Datadog Prometheus Grafana OpenTelemetry Splunk CloudWatch or similar
• Experience with workflow orchestration tools such as Temporal Airflow Step Functions or similar
• Experience with CQRS event sourcing saga patterns distributed transactions retries DLQs or data consistency trade-offs
• Experience building data platforms event ingestion systems analytics platforms or internal platforms used by multiple engineering teams
• Experience supporting production AI RAG LLM orchestration evaluation guardrails observability or reliability workflows

Compensation Range

The base salary range for this job is CAD $140000 - $220000 year.

An individuals base pay depends on various factors including geographical location and review of experience knowledge skills and abilities of the applicant. At Kaseya certain roles are eligible for benefits and additional rewards. These rewards are allocated based on individual impact in addition certain roles also have the opportunity to earn sales incentives based on revenue or utilization depending on the terms of the plan and the employees role.

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.