Senior Data 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.

Kaseya powers millions of endpoints and thousands of customers worldwide. We are building the next generation of data platforms that power analytics automation AI and customer-facing experiences across our products.

Were looking for engineers who enjoy solving distributed systems problems building scalable platforms and operating high-volume data infrastructure in production.

This is not a traditional ETL-focused role.

You will build and operate the data platform that enables analytics automation AI workloads and operational systems across Kaseya.

You will:

• Design and build real-time and batch data processing systems
• Develop event-driven data pipelines using streaming technologies
• Build scalable ingestion transformation enrichment and delivery services
• Design data platform components that support millions of events and large-scale analytical workloads
• Improve reliability observability monitoring and operational excellence across data systems
• Participate in architecture reviews and technical design discussions
• Own production systems incident response and operational improvements
• Work closely with Product Infrastructure Analytics and Engineering teams
• Mentor engineers and contribute to engineering standards and best practices

• 6 years of experience in Software Engineering Data Engineering Platform Engineering or Backend Engineering
• Strong programming experience in Java Go Python Rust Scala or similar languages
• Experience designing and operating distributed systems in production
• Experience building and supporting streaming or real-time data platforms
• Experience with Kafka Flink Spark Streaming Kinesis Event Hubs or similar technologies
• Experience operating cloud-native systems on AWS Azure or GCP
• Experience troubleshooting production issues and supporting critical systems

• Experience designing event-driven architectures
• Experience with CDC event sourcing or asynchronous processing patterns
• Experience building low-latency data systems
• Experience with infrastructure-as-code (Terraform CloudFormation Pulumi)
• Experience implementing CI/CD pipelines and deployment automation
• Experience with observability monitoring alerting and reliability engineering
• Experience designing platform-level frameworks used by multiple teams
• Experience with data lakehouse platforms Snowflake Databricks or large-scale analytical systems

• Experience supporting machine learning AI or LLM workloads
• Experience with vector databases RAG systems or AI infrastructure
• Experience mentoring engineers or leading technical initiatives

The expected base salary range for this position is CAD $225000 to $236000 per year. Where a candidate falls within this range depends on job-related factors such as experience skills and qualifications. This range reflects base salary only and does not include variable compensation or other components of the total package.

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.