Staff Software Engineer- Backend
Kaseya Careers
| Company | Kaseya Careers |
| Category | Engineering |
| Location | Pune |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 9 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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 Software Engineer (Backend) JD About the Role We are looking for a Senior Software Engineer to join our growing engineering team. This person will help build scalable software solutions and contribute to new platform, data, and AI initiatives across the business. The ideal candidate is a strong engineer who enjoys solving technical problems, working with modern technologies, and collaborating with product, engineering, and business stakeholders. You should be comfortable working across backend systems, APIs, databases, cloud infrastructure, and modern development practices. This is a great opportunity for someone who wants to work on high-impact products, contribute to technical direction, and grow with a fast-moving engineering organization. Responsibilities: Design, develop, and maintain scalable software applications. Build backend services, APIs, and integrations. Work with microservices, databases, cloud platforms, and distributed systems. Collaborate with product managers, engineers, architects, QA, DevOps, and other stakeholders. Write clean, efficient, maintainable, and well-tested code. Participate in design discussions, sprint planning, code reviews, and technical documentation. Help improve performance, reliability, scalability, and security of existing systems. Support cloud deployments, CI/CD pipelines, and containerized applications. Troubleshoot and resolve production issues. Contribute to platform, data, and AI-related projects as needed. Mentor junior engineers and help improve team engineering practices.
Requirements 6+ years of professional software engineering experience. Strong experience with one or more programming languages such as Java, Python, C#, Go, JavaScript, TypeScript, or Node.js. Experience building REST APIs, GraphQL APIs, microservices, or backend applications. Experience with relational or NoSQL databases such as PostgreSQL, MySQL, SQL Server, MongoDB, DynamoDB, Redis, or similar. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with Docker, Kubernetes, CI/CD pipelines, and modern deployment practices. Experience working with distributed systems or event-driven architecture. Familiarity with messaging technologies such as Kafka, RabbitMQ, SQS, SNS, Pub/Sub, or similar. Good understanding of software architecture, design patterns, and system scalability. Strong debugging, analytical, and problem-solving skills. Strong communication skills and ability to work well in a team environment.
Nice to Have Experience with SaaS products or enterprise software. Experience with AI, machine learning, LLMs, RAG, automation, or data platforms. Experience with Terraform, Helm, GitHub Actions, Jenkins, or other DevOps tools. Experience with observability tools such as Prometheus, Grafana, Datadog, Splunk, CloudWatch, or similar. Experience with security, identity, RBAC, authentication, or authorization. Experience in finte