Senior Go Software Engineer

TechBiz Global GmbH
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Systems Engineer

AWS Backend Engineer (Inside IR35)

Senior Solutions Architect

Senior Golang Developer - 2 Day London - Inside IR35

Senior Fraud Manager

Senior Fraud Manager

At TechBiz Global, we’re more than just a recruitment and software development company — we’re aGerman based global partner dedicated to your business success. With a diverse, distributed team, we specialize in IT recruitment, outstaffing, outsourcing, software development, and consulting services for more than 100 clients around over 20 countries.

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking aSenior Go Software Engineerto join one of ourclients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.



About the role

We’re looking for a Senior Go Software Engineer to build real-time voice AI systems that set the standard.

Your responsibilities will include:

  • Design and enhance backend infrastructurefocusing on scalability, performance, and reliability. Implement features and maintain the systems that power our next-generation products.

  • Expertly manage concurrency and parallelismin Go using goroutines, channels, and synchronization primitives like mutexes and wait groups.

  • Develop robust networking and streaming capabilities, including experience with network programming, sockets, and protocols like WebSockets and WebRTC.

  • Lead performance optimization initiativesby profiling Go code, reducing latency, and efficiently managing memory and garbage collection.

  • Build fault-tolerant systemswith strong recovery mechanisms and failover strategies to maintain service continuity.

  • Implement comprehensive logging and tracingusing tools such as zap, klog, OpenTelemetry, and Jaeger to enhance monitoring and troubleshooting.

  • Apply Test-Driven Development (TDD) and engage in Pair Programmingto ensure high code quality and promote team collaboration.

  • Participate actively in code reviews, offering constructive feedback to uphold code quality and adhere to best practices.

  • Stay informed on the latest in software developmentand contribute to the team's continuous learning and improvement.

You have:

  • At least 5 years of professional experiencewith Go, along with a track record of developing scalable and extensible systems.

  • Additional proficiency in Python and familiarity with infrastructure containerization, DevOps & MLOps tools (preferably GCP or AWS).

  • Extensive experience increating and maintaining robust APIsand implementing advanced CI/CD pipelines.

  • A strong foundation in software engineering principles and a commitment to leading-edge practices including TDD, pair programming, and continuous integration.

Beyond the basics:

  • Exposure tovoice technologieslike WebRTC and Twilio.

  • A background inAI, particularly around Large Language Models, Speech to Text, and Voice Synthesis applications.

  • Experience inAI-related fields, such as low-latency audio stream processing or leveraging LLMs in product environments.

  • Knowledge ofdistributed computing and cloud infrastructureat scale.

What We Offer:

  • Autonomy at speed:High-ownership roles in a fast-moving startup.

  • Remote-first flexibility:Contribute from anywhere, on your schedule.

  • Cutting-edge technology:Work on what interests you most.

  • Career growth:Scale your impact as the company grows.

  • Rewarding package:Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience. 

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.