Senior Software Engineer

Kaseya Careers • Toronto, ON

10h • CA$140,000 - CA$220,000 • Onsite

About The Position

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

Requirements

• 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

Nice To Haves

• 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

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

Benefits

• Certain roles are eligible for benefits and additional rewards.
• These rewards are allocated based on individual impact in role.
• Certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed