01Overview
This is the backend role several readers keep asking for, written with an unusually specific stack. SolarWinds is building backend microservices in Go for a cloud SaaS observability platform, with data pipelines and streaming on Kafka and analytical storage in ClickHouse. The work includes anomaly detection use cases, so there is a data and analytics dimension, though the posting is careful to say deep machine learning expertise is not required and exposure is a plus rather than a requirement. You would own features from design through development, testing and production deployment, and apply distributed systems thinking to make services scalable and resilient. For anyone who wants Go, streaming and OLAP databases on their CV rather than generic CRUD work, this is a clean five year senior backend seat.
Who it is for: What the posting asks for: a Bachelor's degree in Computer Science, Engineering or a related field, with 5 or more years of industry experience building backend or platform systems, or equivalent practical experience. Strong experience developing backend services and APIs using Go in production. Hands-on experience with distributed systems, including designing for scale, reliability and performance. Experience with streaming or messaging systems such as Kafka. Familiarity with analytical or OLAP databases such as ClickHouse, or strong experience with similar data stores and willingness to ramp up quickly. The ability to independently design and deliver complex features end to end. A solid understanding of cloud native and microservices architecture in SaaS. Comfort contributing to technical discussions and code and design reviews.
Listed as a plus rather than required: experience with observability, monitoring or performance analysis systems. Exposure to anomaly detection, data analytics or AI and ML concepts, with the posting stating plainly that deep ML expertise is not required. Experience with DevOps practices, CI/CD pipelines and operating production systems.
The actual day to day: designing, prototyping and implementing backend microservices in Go. Building and evolving data pipelines and streaming solutions on Kafka and ClickHouse. Applying distributed system design principles for scalable, resilient services. Contributing to anomaly detection use cases and data driven solutions in the observability domain. Promoting engineering practices including code quality, testing, observability and operational readiness. Working with product and cross functional teams. Owning features from design through production deployment.
Location and office reality: Bangalore, India. The posting does not state office days or describe the role as remote.
Honest fit guidance: Go in production is the requirement that will decide most applications. ClickHouse is explicitly flexible, since the posting accepts similar data stores plus a willingness to learn, so do not screen yourself out over that one. The anomaly detection work is a genuine plus for anyone wanting to move toward data engineering without leaving backend development. .
