Backend Software Developer / Senior

Backend Software Developer / Senior

Full-Time 78750 - 96250 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and operate backend microservices using Go and Python for data processing.
  • Company: Join ExTrac, a leading decision intelligence company transforming complex data into actionable insights.
  • Benefits: Enjoy competitive salary, private health insurance, enhanced pension, and 33 days of leave.
  • Other info: Flexible working environment with opportunities for career growth and influence on platform evolution.
  • Why this job: Make a real impact by developing services that support critical decisions for governments and organisations.
  • Qualifications: 4+ years in software engineering with expertise in microservices and distributed systems.

The predicted salary is between 78750 - 96250 £ per year.

About ExTrac

ExTrac is a decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight. Our ambition is to become the analytical backbone that organisations rely on when geopolitical uncertainty becomes an opportunity or a strategic risk.

We are looking for a Senior Software Engineer to join ExTrac's engineering team to help build and operate the services and pipelines the platform runs on. You will be responsible for building and running the backend microservices that make that possible: services and databases that expose curated data through APIs, run search and aggregation over large indices, hold application state, and keep the whole thing fast and correct as volume and customer count grow.

In a single quarter it spans API and service design, search and database performance, long-running data pipelines, cloud infrastructure, and the deployment tooling underneath all of it. You will own services end to end across a Go and Python codebase, working alongside the AI team who build our analytical and agentic features, the frontend team who build the web and mobile interfaces, and the analysts and product managers who define what gets built.

Take an ambiguous problem, gather requirements, write a technical design, and ship to production with minimal oversight. Treat the storage layer as a design concern rather than an implementation detail: schema, indexing strategy, and access patterns. Develop Go and Python-based microservices to support data collection, processing, and querying. Build and operate high-throughput data streaming pipelines and work on improving scalability, robustness, and latency. Optimise databases and index performance where it is the constraint on product behaviour.

Working with analysts, product, and the ML team, partner with the AI and frontend teams to deliver cross-functional features, solving the engineering, performance, and reliability problems that sit outside of their scope. Improve the shared foundations other engineers depend on: deployment pipelines, service templates, observability, and the environments their work runs in.

You will spend your time working on and owning Go and Python services, databases, and APIs, and you know the difference between something that works on a laptop and something that holds up under production load, latency, and cost. You will be trusted to lead projects, make decisions, and drive outcomes. You treat quality, security, and observability as engineering fundamentals rather than optional extras, and you make the case for addressing technical debt rather than living with it.

You raise the bar for the engineers around you in ways they would recognise: pairing on problems outside your own project, leaving reviews people learn from, and writing things down for the next person. Our software sits underneath decisions taken by governments, defence organisations, and institutions operating where being wrong or late carries real consequences.

Strong performance means ownership over larger sections of the platform, more architectural say over how our services evolve, and more influence over which problems we take on. Due to the nature of our work and the clients we support, applicants must be eligible to obtain UK security clearance.

  • 4+ years of professional software engineering experience, with demonstrated ability to stand up production-grade services and experience owning features end to end.
  • Proficiency in building microservices using Go or Python.
  • Solid understanding of distributed systems, databases, and software engineering patterns.
  • Comfortable writing clear technical documentation and discussing requirements with colleagues from engineering and the wider team.
  • Breadth across the stack: improving deployment pipelines, understanding database behaviour, and a genuine interest in security engineering.
  • Experience with Elasticsearch and PostgreSQL.
  • Experience operating multi-tenant systems where data isolation is a hard requirement.
  • Experience working in software for defence, government, or other compliance-constrained environments.

Competitive salary based on skills and experience. A generous benefits package, including Private Medical Health Insurance and enhanced pension contributions. Enhanced parental leave and a workplace nursery scheme. £33 days of leave across the year inclusive of bank holidays. Flexible working. The team is typically in our central London office two days a week, and you are welcome to come in up to five.

ExTrac AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or gender expression. ExTrac AI is committed to a fair and transparent hiring process. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position but all hiring decisions will be made by a member of our team.

Backend Software Developer / Senior employer: ExTrac AI Limited

ExTrac AI Limited is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including professional development in cutting-edge AI technologies, while enjoying a supportive environment that values creativity and teamwork. Join us to be part of a forward-thinking company that is at the forefront of AI-driven product strategy, where your contributions will make a meaningful impact.

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Contact Details:

ExTrac AI Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Backend Software Developer / Senior

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ExTrac AI Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ExTrac AI Limited.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ExTrac AI Limited.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ExTrac AI Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Backend Software Developer / Senior

Go
Python
Microservices Architecture
API Design
Database Optimisation
Elasticsearch
PostgreSQL

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 ExTrac AI Limited.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ExTrac AI Limited 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 ExTrac AI Limited

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 ExTrac AI Limited 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.