Senior Data Engineer

Kaseya

Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide.

Toronto, Ontario Posted 20d ago it managementcybersecuritymsp software

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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.

Senior Data Platform Engineer

Why Kaseya?

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.

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

What You'll Do

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

What We're Looking For

Required

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

Strongly Preferred

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

Bonus

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

Salary 170 - 250

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.

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