Overview

We are looking for a Software Engineer to join our team building modern backend services for our SaaS platform. In this role, you will contribute to the design and development of scalable cloud-native microservices that support observability and analytics use cases. You will work with distributed systems, streaming technologies, and high-performance data platforms while collaborating with experienced engineers across the stack.

The team also works on anomaly detection capabilities, offering opportunities to gain exposure to data-driven approaches and AI/ML concepts through real-world product scenarios. This role is ideal for engineers who enjoy solving backend engineering challenges, learning new technologies, and building reliable systems in a collaborative SaaS environment.

Responsibilities

• Design, develop, and maintain backend microservices for a cloud-based SaaS platform using Go.
• Contribute to data pipelines and streaming solutions leveraging technologies such as Kafka and ClickHouse.
• Build scalable, reliable, and high-performance distributed systems.
• Support anomaly detection and observability use cases through backend and data-focused engineering contributions.
• Write clean, maintainable, and well-tested code following strong engineering best practices.
• Collaborate with product managers and cross-functional teams to deliver robust technical solutions.
• Participate in feature development across the full software lifecycle, including design, implementation, testing, and deployment.
• Contribute to improving system observability, operational excellence, and service reliability.
• Continuously learn and adapt to evolving technologies and engineering practices.

 

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, with 3+ years of industry experience building backend or platform systems (or equivalent practical experience).
• Experience developing backend services and APIs using Go or similar backend programming languages.
• Good understanding of distributed systems concepts, including scalability, reliability, and performance.
• Experience working with messaging or streaming technologies such as Kafka is preferred.
• Familiarity with analytical or OLAP databases such as ClickHouse, or experience with similar data platforms.
• Understanding of cloud-native and microservices-based architectures.
• Ability to independently deliver well-scoped features with guidance from senior engineers.
• Strong problem-solving skills and willingness to learn new technologies and domains.
• Experience with observability, monitoring, or performance analysis systems is a plus.
• Exposure to anomaly detection, data analytics, or AI/ML concepts is a plus.
• Familiarity with CI/CD pipelines, DevOps practices, and operating services in production environments is a plus.
• Strong collaboration and communication skills with the ability to work effectively across teams.