Junior Backend Engineer - Real-Time Data, Remote & Equity

Pigment

Paris

Hybrid

EUR 54,000 - 60,000

Full time

14 days+

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Benefits offered by this job

Equity
Health insurance – comprehensive
Flexible working hours
Remote-friendly policy
Brand new offices in Paris

Job summary

Pigment, the AI-powered platform for business planning, is seeking a junior Backend Software Engineer to join a fast-growing SaaS company. You’ll work on performance-critical systems that process millions of records in real time, enabling clients to make faster, better decisions.

You’ll build backend services with .NET Core, PostgreSQL, and GCP, collaborate with frontend, product, and design teams, and contribute to architecture, testing, and observability.

Qualifications

  • First experience with modern backend technologies.
  • Comfort with languages such as C#, Java, C++, Golang, Rust, Python, or Ruby.
  • Collaborative mindset and strong communication skills.
  • Enjoy learning from others and not afraid to ask questions or propose ideas.
  • Care about code quality, testing and scalability.
  • Fluent English.

Responsibilities

  • Design and build the core computation engine that powers our business planning platform.
  • Collaborate with frontend engineers, product managers, and designers to define, develop, and deliver features that bring value to users.
  • Optimize performance and scalability of systems processing large-scale data in real time.

Skills

Collaborative mindset
Strong communication
Learning mindset

Tools

RabbitMQ
CircleCI
Docker
Kubernetes
Terraform
PostgreSQL
Google Cloud Platform

Job description

Pigment, the AI-powered platform for business planning, is seeking a junior Backend Software Engineer to join a fast-growing SaaS company. You’ll work on performance-critical systems that process millions of records in real time, enabling clients to make faster, better decisions.

You’ll build backend services with .NET Core, PostgreSQL, and GCP, collaborate with frontend, product, and design teams, and contribute to architecture, testing, and observability.

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