Senior Software Engineer– Payments & Integrations at Kaseya

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. Responsibilities • Applying deep application knowledge to design, build, and ship high-quality solutions that improve the stability, performance, and scalability of the platform with a strong emphasis on writing clean, well-structured, production-ready code. • Leveraging AI tools and techniques to meaningfully accelerate development workflows, including code generation, refactoring, test development, and assisted code review, while maintaining a clear understanding of the business outcomes being driven and a focus on delivering higher-impact work faster. • Contributing to the design, development, and delivery of large-scale product features and integrations, with ownership across implementation and release. • Participating in and contributing to technical design discussions, evaluating trade-offs, and helping drive implementation decisions for scalable and maintainable systems. • Conducting thorough code reviews and ensuring adherence to coding standards, testing practices, and maintainability expectations. • Taking a proactive approach to identifying and resolving application issues and developing unit and functional tests to prevent future occurrences. • Ensuring the health, availability, and reliability of production systems through instrumentation, log analysis, alerting, and participation in on-call rotations. • Actively contributing to the reduction of technical debt and the modernization of existing systems, including identifying opportunities to re-platform legacy components and executing on scoped improvements. • Developing tooling and improvements to enhance development and deployment workflows. • Collaborating with fellow engineering team members to maintain shared architectural knowledge of new features and changes to the platform. • Communicating with cross-functional teams, including but not limited to Technical Support, QA, Design, Documentation, and Product Management. • Assisting in the refinement, prioritization, and management of the team's issue backlog. • Promoting positive communication, collaboration, and team growth, including mentoring and supporting other engineers. • Acting as an agent of change by identifying gaps in processes and advocating for improvements that increase team efficiency and product quality. • Contributing to a culture of engineering excellence by establishing patterns, documenting decisions, and raising the technical bar across the team. Requirements • B.S. in Computer Science, Software Engineering, or a related field, or equivalent practical experience. • 5+ years of professional software engineering experience delivering production-ready systems end-to-end. • Strong computer science fundamentals, including data structures, algorithms, and industry-standard design patterns and practices. • Strong hands-on experience designing, deploying, and operating production applications on public cloud platforms (AWS, GCP, or Azure), including practical knowledge of cloud-native services across compute, storage, networking, and managed data with a solid understanding of cloud architecture patterns and security best practices. • Experience working with distributed systems and a clear understanding of trade-offs in system design (e.g., consistency, availability, and performance). • Understanding of payment processing workflows including Payment gateway integration, payment method lifecycle management. • Familiarity with accounting system concepts like Invoice-to-cash workflow, chart of accounts, terms, tax calculations and compliance. • Strong understanding of testing strategies, including unit, integration, and end-to-end testing, with a bias toward automated test coverage. • Experience with observability practices, including structured logging, metrics collection, distributed tracing, and alerting. • A forward-looking approach to AI-assisted development: able to integrate AI tooling into engineering workflows and existing systems, evaluate where AI creates meaningful leverage, and connect those capabilities directly to product quality, delivery speed, and business outcomes. • Experienced collaborator with cross-functional teams, capable of completing root cause analysis, debugging complex issues, and communicating findings clearly to both technical and non-technical stakeholders. • Independent, driven, and demonstrates strong ownership over the quality and reliability of delivered solutions. • Experience working in agile or iterative development environments. • Proficient at communicating with a wide variety of stakeholders to understand and execute on development roadmaps. Technology & Tools • Experience with full stack and API development across both frontend and backend layers. • Proficiency in one or more of the following programming languages: Rust, C#, and JavaScript. • Proficient with modern authentication and authorization mechanisms (e.g., OAuth 2.0, OIDC, SAML). • Experience maintaining production services and applications, including incident response and post-mortem participation. • Extensive experience with distributed and microservices-based architectures. • Experience with containerization and container orchestration (e.g., Docker, Kubernetes). • Familiarity with cloud-native infrastructure patterns, including serverless architectures, managed Kubernetes services, infrastructure-as-code tooling (e.g., Terraform, Pulumi, or Bicep), and cost-aware resource design. • Experience facilitating the implementation of modern security patterns and practices, including secure coding standards and vulnerability remediation. • Broad and deep knowledge of architectural styles and design patterns. • Experience with CI/CD systems and modern software delivery practices, including automated testing gates and progressive deployment strategies. • Familiarity with relational and document data stores and the considerations that inform choosing between them. 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.