Software Engineer II

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. 

• Take full ownership of backend feature development using Golang, from design through deployment and support
• Collaborate closely with cross-functional teams using Agile/Scrum methodology to refine requirements, estimate effort, and deliver value incrementally
• Design, build, and maintain secure, scalable, and performant microservices and APIs
• Resolve reported defects efficiently while delivering features that delight users
• Drive and uphold best practices in code quality, security, performance, and maintainability
• Contribute to code reviews, documentation, and mentoring within the engineering team

• Bachelor’s degree in Computer Science or related technical field (or equivalent practical experience)
• 3+ years of experience in backend development with one or more of the following: C/C++/Java/Ruby/Python/R/Scala
• 1–3 years of professional experience with Golang
• Strong understanding of SQL databases (preferably MySQL), including query optimization and performance tuning
• Deep knowledge of design patterns, data structures, and algorithms in real-world use
• Experience with search technologies such as Elasticsearch, Solr, Lucene, or OpenSearch
• Hands-on experience with Docker, Git, Kubernetes, and virtualization technologies (e.g., OpenStack)
• Demonstrated use of professional software engineering best practices across the full SDLC: coding standards, code reviews, source control, CI/CD, testing, and operations
• Familiarity with Unix/Linux systems
• Preferred Qualifications:
  Experience building cloud-native applications on platforms like AWS
• Exposure to GraphQL, RESTful API design, and service-oriented architecture
• Knowledge of observability tools such as Prometheus, Grafana, ELK, or OpenTelemetry
• Experience with infrastructure-as-code (e.g., Terraform, Helm)
• Background in storage, backup, or disaster recovery systems is a strong plus