Senior Software Engineer - Space Reliability in Glasgow

Senior Software Engineer - Space Reliability in Glasgow

Glasgow Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
UK Space Jobs

At a Glance

  • Tasks: Design and build autonomous systems for satellite operations and data analytics.
  • Company: Join Spire, a leading space-to-cloud analytics company transforming satellite operations.
  • Benefits: Generous time off, education assistance, fitness reimbursement, and employee stock purchase program.
  • Other info: Hybrid work model with opportunities for career growth in a dynamic environment.
  • Why this job: Be at the forefront of space technology and make a real impact on global data solutions.
  • Qualifications: 5+ years in software engineering with strong Python skills and experience in data analysis.

The predicted salary is between 60000 - 80000 £ per year.

Spire is making a fundamental shift in how it operates its constellation. We are moving from a model where trained operators watch dashboards and escalate to experts, to one where the system is fully autonomous, self-healing, and data intelligent. This team is building that future, and this role sits at the center of it.

The old model relies on operators, escalations, manual processes, and institutional knowledge locked in the heads of a few experts. It does not scale and it does not belong in a modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. You will be one of the engineers who makes that real.

Autonomous Operations

What You Will Work On

  • Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stations.
  • Drive elimination of manual processes. If a human is doing it repeatedly, automate it.
  • Build space situational awareness systems so the fleet always knows its own state.
  • Develop operational automation for mission execution at scale.

Telemetry And Data Platform

  • Architect and build a flexible data platform that ingests, stores, and surfaces telemetry from space and ground assets.
  • Build analytics and visualization tools that surface operational insight and not just raw data.
  • Apply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performance.
  • Work directly with data at every layer from pipeline design to query.

Reliability Engineering

  • Define and instrument SLOs and reliability metrics for space and ground assets.
  • Build monitoring and alerting systems that know what matters and ruthlessly suppress noise.
  • Own configuration control and software rollout processes for on-orbit and ground assets.

Mission Software

  • Build real-time dashboards and operator tooling that make mission status immediately legible.
  • Collaborate directly with satellite operators and mission teams to turn operational pain into software solutions.
  • Design systems for automated mission execution including planning, scheduling, and commanding at scale.

Basic Qualifications

  • 5+ years of professional software engineering, SRE, or DevOps experience.
  • Strong Python skills across backend services, data pipelines, and automation. Not just scripts.
  • Real experience applying data analysis to solve complex operational or technical problems, comfortable working directly with data at every layer from pipeline design to query.
  • Solid Linux fundamentals including bash scripting and basic system administration.
  • Experience with containerized development and production environments.
  • The communication skills to work across engineering, operations, and mission teams and translate real-world requirements into working software.

Preferred Qualifications

  • Experience with data backends such as Postgres, Redis, Elasticsearch, or S3.
  • Hands-on experience with Databricks or modern data Lakehouse tooling.
  • Experience building or operating monitoring and alerting systems such as Grafana, Prometheus, or Nagios.
  • Infrastructure as Code experience with tools such as Terraform or Ansible.
  • ML or AI applications in an operational or monitoring context.
  • Experience with Python data visualization libraries.

Spire operates a hybrid work model, and this position will require you to work a minimum of three business days per week in the office. Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying.

Global Perks

  • Name Your Satellite Program (NYSP)
  • Launch Attendance
  • Generous Time Off Policy
  • Education Assistance Program
  • Employee Assistance Program (EAP)
  • Employee Stock Purchase Program (ESPP)
  • Family Leave
  • Fitness Reimbursement
  • Employee Referral Program
  • Healthy snacks & beverages in every office.

About Spire

We improve life on Earth with data from space. Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth.

Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

To help maintain a safe and secure workplace for Spire employees, all candidates who receive a conditional offer will be required to complete a background check. This may include criminal history and employment verification.

Please take a moment to review Spire's Global Data Privacy Notice for Employees, Contractors, Candidates and Visitors, as well as Spire's Privacy Policy. Kindly be advised that communication regarding your application may come from @spire.com, @recruiting.spire.com, or from Candidate.fyi (our scheduling tool).

Senior Software Engineer - Space Reliability in Glasgow employer: UK Space Jobs

Lockheed Martin is an exceptional employer, offering a dynamic work environment where employees are valued and supported in their professional growth. With a strong commitment to employee wellbeing, the company provides competitive salaries, flexible working options including a potential 4-day week, and a comprehensive benefits package that includes private medical insurance and educational assistance. Located in the North East, Lockheed Martin is at the forefront of advancing the space sector, providing unique opportunities for collaboration and innovation while contributing to national security.

UK Space Jobs

Contact Details:

UK Space Jobs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer - Space Reliability in Glasgow

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We think you need these skills to ace Senior Software Engineer - Space Reliability in Glasgow

Python
Data Analysis
Linux Fundamentals
Bash Scripting
Containerized Development
Monitoring and Alerting Systems
Infrastructure as Code

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at UK Space Jobs.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at UK Space Jobs and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at UK Space Jobs

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If UK Space Jobs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.