Senior Software Engineer

At SolarWinds, we’re a people-first company. Our purpose is to enrich the lives of the people we serve—including our employees, customers, shareholders, partners, and communities. Join us in our mission to help customers accelerate business transformation with simple, powerful, and secure solutions.

The ideal candidate thrives in an innovative, fast-paced environment and is collaborative, accountable, ready, and empathetic. We’re looking for individuals who believe they can accomplish more as a team and create lasting growth for themselves and others. We hire based on attitude, competency, and commitment. Solarians are ready to advance our world-class solutions in a fast-paced environment and accept the challenge to lead with purpose. If you’re looking to build your career with an exceptional team, you’ve come to the right place. Join SolarWinds and grow with us!

Overview

We are looking for a Senior Software Engineer to join our team working on modern tools within our SaaS platform. This role focuses on designing, prototyping, and building scalable backend services that power next-generation observability and analytics use cases. You will work on cloud-native microservices, solving distributed systems challenges at scale. The team is also responsible for delivering anomaly detection capabilities, providing opportunities to work with data-driven approaches and gain exposure to AI/ML concepts and terminology as part of real-world product use cases. This role is well-suited for engineers who enjoy end-to-end ownership, working across evolving technology stacks, and building reliable, high-performance systems in a SaaS environment.

Responsibilities

• Design, prototype, and implement backend microservices for a cloud-based SaaS platform using Go.

• Build and evolve data pipelines and streaming solutions leveraging Kafka and ClickHouse.

• Apply distributed system design principles to deliver scalable, resilient, and performant services.

• Contribute to anomaly detection use cases, collaborating on data-driven and analytical solutions within the observability domain.