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.
Senior Staff Software Engineer, Data Platform & Distributed SystemsWhy Kaseya?
Join a fast-growing company that’s transforming the IT industry. At Kaseya, you’ll 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 SummaryWe’re hiring a Senior Staff Software Engineer to lead the architecture and evolution of Kaseya’s data platform, supporting real-time processing, analytics, and AI-powered product capabilities. This is a hands-on technical leadership role focused on distributed systems, event streaming, data infrastructure, and building reliable services that operate at scale. You will work across Data Engineering, Platform, Product, and AI/ML teams to define technical direction, lead complex engineering initiatives, and build reusable platform capabilities that support multiple products.
Roles & ResponsibilitiesDefine and drive architecture for large-scale data platforms, including ingestion, event streaming, distributed processing, storage, and data-serving services
Lead complex technical initiatives across multiple engineering teams, establishing reusable platform components and reducing reliance on individual data pipelines
Design and improve event-driven systems using technologies such as Kafka, Flink, Spark, or similar distributed processing frameworks
Guide the development of reliable data ingestion and change data capture (CDC) systems, including schema evolution, ordering, replay, and failure recovery
Drive technical decisions around data storage, lakehouse architectures, analytical databases, and data access patterns based on performance, scalability, and cost
Remain hands-on through architecture reviews, technical prototyping, critical implementation, production debugging, and performance optimization
Improve platform reliability, observability, data quality, and operational readiness across real-time and analytical workloads
Mentor Senior and Staff Engineers, establish engineering standards, and partner with technical leadership on platform modernization and long-term architecture decisions
10+ years of software engineering experience building production backend systems, distributed systems, or large-scale data platforms
Experience leading architecture and technical delivery of data platform initiatives spanning multiple engineering teams or services
Experience designing and operating production event-streaming or distributed processing systems using Kafka, Flink, Spark Structured Streaming, or similar technologies
Experience designing production data ingestion, CDC, or distributed processing systems, including handling schema evolution, retries, ordering, replay, and failure recovery
Experience developing and operating cloud-based data platforms on AWS, Azure, or GCP using Java, Go, Python, Scala, Rust, or similar programming languages
Experience with Apache Kafka, Confluent, Apache Flink, Kafka Streams, or other stateful stream-processing technologies
Experience with CDC technologies such as Debezium, Kafka Connect, or database replication frameworks
Experience with lakehouse architectures and technologies such as Apache Iceberg, Delta Lake, Hudi, or Amazon S3
Experience with analytical databases and query engines such as ClickHouse, Snowflake, BigQuery, Redshift, Pinot, or Druid
Experience with data governance, schema registries, data contracts, lineage, metadata management, or data quality frameworks
Experience building multi-tenant or multi-region data platforms using Kubernetes, Terraform, GitOps, or similar cloud-native technologies
Experience supporting production AI/ML platforms, feature engineering, RAG, vector search, or real-time inference workloads
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
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.
Skills Required
- 10+ years of software engineering experience in a production environment
- Experience designing and building backend systems for SaaS applications
- Experience delivering complex, user-facing features end-to-end in collaboration with Product teams
- Experience building APIs and services using REST, GraphQL, or gRPC
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Experience integrating data, machine learning, or AI capabilities into production systems
- Experience with backend languages such as Node.js, Java, Go, or similar
- Experience with Python and data-related tooling such as pandas or machine learning frameworks
- Familiarity with data modeling, relational databases, and caching strategies
- Understanding of machine learning and AI systems, including model integration and common failure modes
- Experience working with containers and distributed systems
- Experience mentoring engineers and contributing to engineering standards
Kaseya Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kaseya and has not been reviewed or approved by Kaseya.
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Leave & Time Off Breadth — PTO is commonly described around 20–21 days per year plus standard holidays. Some indicate they can fully disconnect while on leave.
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Equity Value & Accessibility — Equity or option grants are available to many roles, offering potential upside beyond base pay. This exposure is presented as a meaningful component of total compensation for some roles.
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Affordable Benefits — The high‑deductible medical plan is described as having low or employer‑covered employee‑only premiums in some cases. This can reduce out‑of‑pocket costs for those who select the HDHP.
Kaseya Insights
What We Do
Kaseya is a premier provider of unified IT management and security software for managed service providers (MSPs) and small to medium-sized businesses (SMBS). Through its customer-centric approach, Kaseya delivers best-in-breed technologies that allow organizations to efficiently manage, secure and backup IT. Kaseya offers a broad array of IT management solutions, including well-known names: Kaseya, IT Glue, RapidFire Tools, Spanning Cloud Apps, ID Agent, Graphus, RocketCyber, TruMethods and Unitrends. These solutions empower businesses to command all of IT centrally, easily manage remote and distributed environments, simplify backup and disaster recovery, safeguard against cybersecurity attacks, effectively manage compliance and network assets, streamline IT documentation and automate across IT management functions. Headquartered in Miami, Florida, Kaseya is privately held with a presence in over 20 countries.
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