National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Chief Technology Officer (CTO)

TechBiz Global GmbH
London
4 months ago
Applications closed

Related Jobs

View all jobs

Senior TypeScript Backend Software Engineer

Senior Software Developer

Senior Python Developer

Data Engineer

Enterprise Risk Data Analyst, Senior Vice President

Data Scientist

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 aChief Technology Officer (CTO)to 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.

Role Overview

As the CTO , you will be responsible for shaping and leading the company’s technology strategy. You will oversee the engineering team, infrastructure, and product development to ensure that the platform is scalable, secure, and innovative. You will also collaborate with the executive team to align the technological roadmap with business goals, ensuring that our platform delivers value to our customers and stakeholders. This is a hands-on leadership role where you will contribute directly to building and scaling the technology infrastructure while mentoring the team.



Key Responsibilities

1. Technology Strategy & Leadership

a. Develop and communicate a clear and effective technology strategy aligned with Cutstruct’s business objectives and mission.

b. Lead the technological vision for the company, ensuring innovation and competitive advantage in the construction procurement space.

c. Oversee the development of the platform’s architecture to ensure scalability, security, and performance.

d. Ensure the technical team is empowered, aligned with business goals, and motivated to innovate and grow

2. Team Development & Management

a. Build, lead, and mentor a high-performing engineering team, providing guidance on technical execution, career development, and continuous improvement.

b. Foster a collaborative culture that promotes innovation, high standards, and accountability within the engineering team.

c. Manage engineering recruitment, training, and retention, ensuring that Cutstruct attracts top talent in the industry.

3. Platform Development & Architecture

a. Own the platform’s architecture, making sure it is future-proof, modular, and highly available.

b. Work closely with product management and engineering teams to define and prioritize the product roadmap.

c. Drive the adoption of best practices in system design, coding standards, performance optimization, and security.

4. Operational Excellence & Infrastructure Management

a. Lead the infrastructure strategy, ensuring that the platform runs efficiently, securely, and with minimal downtime.

b. Implement industry best practices for cloud infrastructure, DevOps, and continuous integration/deployment (CI/CD).

c. Ensure strong system performance through regular monitoring, troubleshooting, and optimization of cloud infrastructure.

5. Security & Compliance

a. Develop and implement security policies to protect company data, customer information, and ensure platform integrity.

b. Oversee compliance with relevant regulations such as GDPR, data protection laws, and industry standards to ensure customer data is handled securely.

c. Regularly audit systems for security vulnerabilities, applying patches and updates as necessary.

6. Cross-Functional Collaboration

a. Collaborate with product, marketing, sales, and other teams to ensure the platform’s features and capabilities meet customer needs and market demands.

b. Present technical insights and strategic vision to the board and investors, making sure the technology strategy aligns with the company’s growth plans.

c. Serve as a thought leader both internally and externally, representing Cutstruct at industry events, conferences, and with key partners.

7. Research & Innovation

a. Stay abreast of technological advancements in cloud computing, AI, machine learning, and software development to continuously drive innovation.

b. Explore and implement new technologies that could provide a competitive edge for Cutstruct.

c. Lead experimentation with emerging technologies such as blockchain, IoT, and others that can benefit the construction industry.

8. Risk Management & Incident Response

a. Develop contingency plans and disaster recovery protocols to ensure business continuity.

b. Lead incident response efforts in the event of a platform outage or breach, ensuring rapid resolution and communication to stakeholders.

c. Conduct post-mortems and implement process improvements to prevent future incidents.

Required Qualifications

Experience:

a. 8+ years of experience in technology roles, with at least 5 years in a senior/leadership role (e.g., Head of Engineering, CTO, VP of Engineering). b. Proven track record of scaling cloud-based SaaS platforms and leading engineering teams through complex technical challenges.

c. Experience in the construction, logistics, or marketplace industry is a plus.

Technical Skills:

a. Proficiency in technologies such as Golang, Node.js, Nest, PostgreSQL, GraphQL, MongoDB, and Docker.

b. Strong understanding of cloud infrastructure and services (AWS)

c. Understanding of event-driven architecture and usage of services such as RabbitMQ or Kafka etc

d. Expertise in microservices architecture, CI/CD, and DevOps practices.

e. Familiarity with frontend technologies like React.js, Next.js, and GraphQL.

f. Experience with security protocols, compliance, and best practices for handling sensitive data.

Leadership & Soft Skills:

a. Excellent leadership and communication skills, with the ability to influence and inspire teams.

b. Strong business acumen and the ability to align technical goals with business objectives.

c. A customer-first mindset, focusing on delivering value through technology. d. Passionate about fostering a culture of innovation and continuous improvement

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.