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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. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.