Senior Software Engineer

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. Follow and promote strong engineering practices, including code quality, testing, observability, and operational readiness. Work closely with product and cross-functional teams to translate requirements into robust technical solutions. Take ownership of features from design through development, testing, and production deployment. Continuously learn and adapt to new technologies, including gaining exposure to AI/ML concepts relevant to the problem space. Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, with 5+ years of industry experience building backend or platform systems (or equivalent practical experience). Strong experience developing backend services and APIs using Go in production environments. Hands-on experience with distributed systems, including designing services for scale, reliability, and performance. Experience working 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 a willingness to ramp up quickly. Ability to independently design and deliver complex features end-to-end, from requirements through production deployment. Solid understanding of cloud-native and microservices architectures in a SaaS environment. Experience with observability, monitoring, or performance analysis systems is a strong plus. Exposure to anomaly detection, data analytics, or AI/ML concepts is a plus (deep ML expertise not required). Comfortable working across teams, contributing to technical discussions, and raising the overall engineering bar through code and design reviews. Experience with DevOps practices, CI/CD pipelines, and operating production systems is a plus. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.