Senior Software Engineer (Development & Quality)

RMM Backend - Senior Software Engineer (Development & Quality)

Why Kaseya?

Join a fast-growing company transforming the IT management and cybersecurity industry. At Kaseya, we are modernizing how software is designed, built, tested, and operated by combining strong engineering fundamentals with AI-native development practices.

You will have the opportunity to influence not only the architecture and scalability of our platform services, but also how engineering teams leverage AI-assisted development, automation, and quality engineering practices to deliver reliable software faster.

Join the Kaseya growth rocket ship and see how we are #ChangingLives!

Job Summary

We are looking for a Senior Software Engineer to help design, develop, and maintain scalable backend services, APIs, distributed systems, and cloud-native platform capabilities that power Kaseya products.

This is a hands-on software engineering role focused on building reliable, secure, and maintainable SaaS applications. The ideal candidate is passionate about software architecture, distributed systems, cloud technologies, engineering excellence, and software quality.

Unlike traditional development environments where quality ownership is separated, our engineers own the full software lifecycle. You will design, develop, test, deploy, and support your solutions while building automated validation alongside the features you create. Successful candidates combine strong software engineering skills with a quality-first mindset and leverage automation to ensure reliability, maintainability, scalability, and release confidence.

What You Will Do

• Design and implement scalable backend services, APIs, and distributed applications using Java and modern cloud technologies.
• Build and maintain highly available SaaS platform capabilities and microservices architectures.
• Write clean, maintainable, and well-tested code.
• Own features throughout the entire lifecycle from design and implementation through testing, deployment, and production support.
• Build automated tests and validation frameworks alongside feature development.
• Develop automated coverage for functional, integration, API, regression, resiliency, and system-level scenarios.
• Improve software quality through testability, observability, diagnostics, telemetry, and automation.
• Participate in architecture and design discussions and contribute to technical decision-making.
• Investigate customer-reported issues, production incidents, and service degradations.
• Perform root-cause analysis and implement preventative solutions to avoid future recurrence.
• Troubleshoot complex issues using logs, metrics, traces, database analysis, and code-level debugging.
• Improve platform reliability, scalability, security, performance, and maintainability.
• Design and implement CI/CD pipelines that automate build, testing, deployment, security scanning, and release processes.
• Collaborate with Product, Security, Architecture, Platform, and Engineering teams to deliver customer-focused solutions.
• Participate in code reviews, architecture reviews, sprint planning, and technical mentoring activities.
• Leverage AI-assisted engineering tools to accelerate software development, testing, debugging, documentation, and codebase analysis.
• Utilize AI-assisted testing techniques to improve test generation, coverage, and engineering productivity.
• Help establish engineering best practices around AI-generated code validation, automation, and responsible AI-assisted development.

What You Bring

Required Qualifications

• 7+ years of software engineering experience building SaaS applications, distributed systems, enterprise platforms, or cloud-native services.
• 5+ years of experience developing backend services using Java.
• Strong proficiency with Java and modern backend development frameworks such as Spring Boot and Spring Cloud.
• Experience building and maintaining scalable APIs, distributed systems, and microservices-based architectures.
• Experience building automated tests and validation capabilities as part of the software development lifecycle.
• Experience developing automated test frameworks and validation tooling using technologies such as JUnit, TestNG, REST Assured, Selenium, Playwright, or similar testing frameworks.
• Strong understanding of software design, object-oriented programming, APIs, databases, debugging, and version control.
• Experience developing automated coverage for API, integration, regression, and distributed-system testing.
• Experience implementing and maintaining CI/CD pipelines and automated deployment processes.
• Experience working with AWS, Azure, or GCP cloud environments.
• Strong troubleshooting, debugging, and root-cause analysis skills.
• Understanding of software quality engineering principles, test automation, and CI/CD practices.
• Experience using AI-assisted development tools such as coding assistants, code generation tools, or intelligent debugging solutions.
• Strong communication and collaboration skills with the ability to work effectively across cross-functional teams.

Preferred Qualifications

• Experience with Spring Boot, Spring Cloud, Hibernate, Kafka, RabbitMQ, or similar technologies.
• Experience with PostgreSQL, MySQL, SQL Server, Oracle, or other relational database technologies.
• Experience with cloud-native, microservices-based, or event-driven architectures.
• Experience building test frameworks, automation libraries, quality engineering tooling, or validation platforms.
• Experience with Docker, Kubernetes, and containerized development or testing environments.
• Experience with Infrastructure as Code technologies such as Terraform, CloudFormation, or similar tools.
• Experience integrating security scanning, observability, automated testing, and quality gates into CI/CD pipelines.
• Experience contributing to modernization, migration, or platform transformation initiatives.
• Experience integrating AI-powered capabilities, LLMs, agents, or AI services into software products.
• Familiarity with modern AI engineering concepts such as prompt engineering, RAG, tool usage, evaluation frameworks, and agent-based systems.

What Success Looks Like

A successful Senior Software Engineer at Kaseya:

• Builds scalable, secure, and high-quality backend services and platform capabilities.
• Owns features end-to-end from design through production support.
• Demonstrates strong ownership of both software development and quality.
• Develops automated validation alongside feature implementation.
• Solves complex scalability, reliability, and distributed systems challenges.
• Improves the performance, security, reliability, and maintainability of platform services.
• Rapidly diagnoses issues and implements long-term corrective solutions.
• Partners effectively across Product, Security, Architecture, Platform, and Engineering teams.
• Leverages AI-native engineering practices to improve productivity and accelerate delivery.
• Continuously grows expertise in distributed systems, cloud-native technologies, automation engineering, and modern software development practices.