Backend Engineer (Python) - Scale Data-Driven Cloud Security

Ocho People

Belfast City District

Hybrid

GBP 60,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Stock options
Hybrid working
Competitive salary

Job summary

Ocho People is seeking a Backend Engineer (Python) to join a fast-growing distributed systems team. You will own backend features from design to production, working across Kubernetes and major cloud providers to keep the platform fast, stable, and secure.

The role emphasizes solving hard distributed systems problems at scale, with hybrid working and stock options as part of the package. You’ll contribute to a data-intensive stack used by enterprise customers and work with a global team.

Qualifications

  • 1+ years' experience in backend engineering using a high-level language such as Python, Go, Java, C#, or Node.js.
  • Experience with cloud platforms (AWS, GCP or Azure) and data-intensive systems.
  • Familiarity with CI/CD and microservices architecture; degree in CS or related field.

Responsibilities

  • Own projects end to end from design through deployment and production monitoring.
  • Contribute to technical and architectural decisions on complex data-intensive systems.
  • Conduct thorough design and code reviews.
  • Continuously analyze and improve efficiency, scalability and stability of backend components.
  • Collaborate with Frontend and DevOps to deliver features end to end.

Skills

Backend engineering
Python
Go / Java / C# / Node.js
Cloud platforms
Data-intensive systems
CI/CD
Microservices

Education

BSc in Computer Science or related field

Tools

Kubernetes
Docker
Neo4j
ElasticSearch
Redis
TimescaleDB
RabbitMQ

Job description

Ocho People is seeking a Backend Engineer (Python) to join a fast-growing distributed systems team. You will own backend features from design to production, working across Kubernetes and major cloud providers to keep the platform fast, stable, and secure.

The role emphasizes solving hard distributed systems problems at scale, with hybrid working and stock options as part of the package. You’ll contribute to a data-intensive stack used by enterprise customers and work with a global team.

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