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Principal Software Engineer

• Data & Distributed Systems - PerfectScale by DoiT

AI overview

Lead architectural designs and build large-scale backend systems and data pipelines to enhance the PerfectScale platform's reliability and scalability.

LocationOur Principal Data Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel. We are also open to contractors in East Europe and Portugal.

Who We Are DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

About DoiT's PerfectScale PlatformDoiT offers PerfectScale, a pioneering Kubernetes optimization and management solution that empowers DevOps, SRE, and Platform Engineering teams to optimize cloud performance while minimizing costs. We combine advanced AI technology with SME-human expertise to help organizations achieve peak Kubernetes efficiency.

The solution delivers a seamless onboarding experience, an intuitive UI, and a powerful autonomous optimization engine that ensures Kubernetes environments run efficiently with minimal human intervention.

The OpportunityAs a Principal Data Engineer, you will be both a hands-on contributor and a key architectural leader. You will design and build large-scale backend services and high-throughput data pipelines while also shaping the long-term technical direction of PerfectScale’s platform. This role combines deep technical ownership with active contribution to critical code, infrastructure, and performance-sensitive workloads.

Responsibilities

• System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
• Architecture & Code: Lead system-wide architectural decisions, focusing on data flow, performance, and resilience. Actively contribute to the codebase with high quality code.
• Technical Leadership: Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs. Champion best engineering practices, code quality, testing and maintainability.
• Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers

Qualifications

• Experience: 8+ years of backend engineering experience, with 3+ years architecting high-load systems or data pipelines in a production environment.
• Backend Stack: Deep expertise in distributed systems using modern languages (Go, Java, Rust, or Python).
• Data Systems: Strong, hands-on experience with relational and analytical databases (Postgres, ClickHouse is preferred).
• Cloud-Native: Proven experience with microservices, containers, and modern DevOps practices (Docker, Kubernetes, GitOps, CI/CD).
• Skills: Demonstrated ability to combine hands-on coding with architectural leadership, including strong debugging, benchmarking, and performance optimization skills.

Bonus Points

• Deep Golang expertise
• Deep Kubernetes Knowledge
• Experience with modern data engineering technologies: Spark, Trino, Iceberg, Parquet, ClickHouse, DBT
• DBA background (relational, OLAP, columnar)
• Expertise in telemetry and time series
• Cloud expertise (AWS, GCP, Azure)

**Are you a Do'er?**Be your truest self. Work on your terms. Make a difference.

We are home to a global team of incredible talent who work remotely and have the flexibilit