Principal Data Engineer - PerfectScale DoiT Remote Israel

Overview

Remote Israel

Location:

Our 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.

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, Cloud Ops, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

DoiT offers Perfect Scale, a pioneering Kubernetes optimization and management solution that empowers Dev Ops, 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.

As 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 Perfect Scale’s platform. This role combines deep technical ownership with active contribution to critical code, infrastructure, and performance-sensitive workloads.

• 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

• Experience
  : 8+ years of backend engineering experience, with 3+ years architecting high-load systems or data pipelines in a production environment.
• Data Systems
  :
  Strong, hands-on experience with relational and analytical databases (Postgres, Click House is preferred).
• Cloud-Native
  :
  Proven experience with microservices, containers, and modern Dev Ops practices (Docker, Kubernetes, Git Ops, CI/CD).
• Skills
  :
  Demonstrated ability to combine hands-on coding with architectural leadership, including strong debugging, benchmarking, and performance optimization skills.

• Experience with modern data engineering technologies:
  Spark, Trino, Iceberg, Parquet, Click House, DBT
• DBA background (relational, OLAP, columnar)
• Expertise in telemetry and time series

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 flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.

What does being a Do er mean? We  all about being entrepreneurial, pursuing knowledge, and having fun!

Full-time employee benefits include:

• Unlimited PTO
• Flexible Working Options
• Health Insurance
• Employee Stock Option Plan
• Professional Development Stipend

Many Do ers, One Team

DoiT unites as Many Do ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

We are committed to a diverse and inclusive workplace. In line with this commitment, we are collecting gender data to assess and strengthen our diversity and inclusion programs. The information collected is segregated from your employment records and is processed in aggregate and de-identified form for no employment decisions. Participation is voluntary.