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Software Engineer

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • Collaboration
  • Problem Solving
  • Communication

Roles & Responsibilities

  • 5+ years of professional software development experience
  • Strong Python skills and solid software engineering fundamentals
  • Strong understanding of software testing methodologies
  • Experience with CI/CD pipelines and automated testing frameworks

Requirements:

  • Design, develop, and maintain high-quality software pipelines
  • Own software quality end-to-end, ensuring test coverage before merging
  • Drive system design decisions and implement architectural patterns
  • Collaborate with domain experts to translate ideas into production-ready software

Job description

Your mission

With thousands of satellites in orbit providing us with critical services like telecommunications, geolocation, and meteorology, ensuring their safety and the long-term sustainability of the space environment is at the core of our mission. Vyoma's vision is to build Europe's first sovereign space surveillance solution capable of mapping all centimetre-scale space objects orbiting in low-Earth orbit (LEO).
To achieve this, we are looking for an experienced Software Engineer to join our team and help shape the software systems that turn raw payload data into actionable intelligence. Your work will sit at the intersection of high-performance software engineering, numerical computing, and system design — building and maintaining the pipelines that power our space surveillance capabilities.
You will collaborate closely with our computer vision and algorithm experts, owning the software craft: writing clean, maintainable, well-tested code, driving architectural decisions, and bringing engineering rigour to a fast-moving, mission-critical environment.


Key responsibilities
As part of Vyoma you will

  • Design, develop, and maintain high-quality, high-performance software pipelines that process payload image data and expose high-level information to downstream systems.
  • Own software quality end-to-end: write well-structured, testable code, define validation plans, and ensure full unit and integration test coverage before merging.
  • Drive system design decisions — propose, evaluate, and implement architectural patterns and abstractions that keep our codebase scalable and maintainable as the system grows.
  • Review code thoughtfully and thoroughly, raising the engineering bar across the team and mentoring colleagues on software best practices.
  • Identify and implement improvements in performance, reliability, and observability — from algorithmic optimisation to parallelisation strategies and deployment workflows.
  • Collaborate with domain experts in computer vision and numerical algorithms, translating research-grade ideas into production-ready software.
  • Proactively identify problems and propose solutions before they become blockers — we value engineers who take ownership.

Your profile

Important: Please only apply if you have a valid working permit in Germany (or the EU) 

Key qualifications:
  • 5+ years of professional software development experience in industry, with a proven track record of shipping and maintaining production systems.
  • Strong Python skills: you are comfortable writing idiomatic, performant, and well-tested Python.
  • Solid software engineering fundamentals: design patterns, clean architecture, separation of concerns, and a genuine care for code maintainability.
  • Strong understanding of software testing methodologies, including unit, integration, and regression testing.
  • Experience with CI/CD pipelines and automated testing frameworks (e.g., GitLab CI, GitHub Actions, or Jenkins).
  • Ability to work both independently and collaboratively in a multidisciplinary team.
Nice-to-haves:
  • Experience with cloud infrastructure and containerisation (e.g., Docker, Kubernetes, AWS, or equivalent).
  • Familiarity with databases, data pipelines, and deployment workflows in production environments.
  • Experience with parallel and distributed computing patterns.
  • Mathematical or scientific background: familiarity with numerical methods, signal processing, optimisation, or linear algebra, and hands-on experience with scientific Python libraries (e.g., NumPy, SciPy, OpenCV) is a strong plus and will help you thrive working alongside our algorithm experts.

Why us?

  • We nurture your growth. Our employees are key to the success of Vyoma, that is why we want you to grow fast and assume greater responsibility. We also invest in your training while on the job.
  • Transparency. At each step of the way, from recruitment to onboarding to having a permanent position, you will know where you stand and have a clear roadmap, with timeline, goals and expectations. 
  • Accountability and Feedback. Fostering open and direct lines of communication is crucial for the success of individuals and our teams, that is why we encourage people to speak up and maintain flat hierarchies.
  • Your time is valuable. Work should not trump private life, that is why we offer 30 days of holidays, the possibility to work from home, and flexible working hours.
  • The perks. Effort should be compensated appropriately, which is why we offer a competitive salary, a private pension plan, transportation allowances, 5 days of paid sick leave for childcare per year for all parents and other benefits.
  • We are all social animals. We don't just work hard, but we know how to have fun together during our weekly Happy Hours and Game Nights.

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