Remote Principal Engineer: Distributed Systems Architect

Placements24

O Mente

Hybrid

EUR 140,000 - 220,000

Full time

2 days ago
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Job summary

Placements24 is seeking a Remote Principal Software Engineer to lead the design and development of highly distributed systems. This fully remote role requires architectural leadership, deep system knowledge, and mentoring across teams.

You will shape technical direction and drive large-scale data processing initiatives. The ideal candidate brings extensive distributed systems experience, expertise in Java/Go/C++, and hands-on work with Spark or Flink, Kubernetes, and cloud platforms.

Qualifications

  • Master's or PhD in Computer Science, Engineering, or related field (or equivalent extensive experience).
  • Extensive software engineering experience with distributed systems.
  • Strong knowledge of consensus, consistency models, fault tolerance, messaging.

Responsibilities

  • Architect, design, and implement scalable, fault-tolerant distributed systems.
  • Set standards for building and operating distributed systems.
  • Lead initiatives and resolve complex engineering challenges.
  • Collaborate with cross-functional teams to translate requirements into designs.
  • Mentor senior and junior engineers, fostering growth and knowledge sharing.
  • Evaluate new technologies to enhance performance and reliability.
  • Ensure security and performance of distributed platforms.
  • Conduct code reviews and provide technical guidance.
  • Troubleshoot production issues and drive technical strategy.

Skills

Java
Go
C++
Scala
Distributed systems
Leadership

Education

Master's degree in CS or related field
PhD in CS or related field

Tools

Kubernetes
Spark
Flink
AWS
GCP

Job description

Placements24 is seeking a Remote Principal Software Engineer to lead the design and development of highly distributed systems. This fully remote role requires architectural leadership, deep system knowledge, and mentoring across teams.

You will shape technical direction and drive large-scale data processing initiatives. The ideal candidate brings extensive distributed systems experience, expertise in Java/Go/C++, and hands-on work with Spark or Flink, Kubernetes, and cloud platforms.

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