Data Platform & Distributed Systems Engineer — Hybrid

CGG SA

Crawley

Hybrid

GBP 75,000 - 105,000

Full time

14 days+
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Benefits offered by this job

Hybrid work with up to 2 days at home
22 days annual leave with holiday buy‑
Bonus scheme
Competitive salary

Job summary

Viridien is seeking a Software Developer - Data Platform & Distributed Systems to contribute to the design and development of a distributed, microservices-based platform supporting data cataloguing, metadata management, and high-volume transactional workflows.

You will work across the backend stack, building scalable services and APIs, designing efficient data models, and optimising performance in a Kubernetes environment with MongoDB, PostgreSQL, Kafka and Redis.

Qualifications

  • Proven experience building backend services and distributed systems.
  • Solid experience with MongoDB and/or PostgreSQL.
  • Familiarity with containerisation and orchestration (Docker, Kubernetes).
  • Experience with messaging systems (Kafka) and caching (Redis).
  • Strong focus on scalability and performance.

Responsibilities

  • Backend Development & APIs: design, develop, and maintain scalable microservices with robust APIs.
  • Data & Performance: model data efficiently and optimise read/write workloads.
  • Platform & Infrastructure: contribute to CI/CD pipelines and Kubernetes deployments.
  • Architecture & Reliability: participate in system design to ensure reliability and observability.

Skills

Backend development
Distributed systems
Golang
Observability
Leadership
High throughput systems

Tools

MongoDB
PostgreSQL
Kafka
Redis
Docker
Kubernetes

Job description

Viridien is seeking a Software Developer - Data Platform & Distributed Systems to contribute to the design and development of a distributed, microservices-based platform supporting data cataloguing, metadata management, and high-volume transactional workflows.

You will work across the backend stack, building scalable services and APIs, designing efficient data models, and optimising performance in a Kubernetes environment with MongoDB, PostgreSQL, Kafka and Redis.

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