
Wireless Logic · Reading
WHAT WE’RE ALL ABOUT: Any company can tell you about how they are a multi award winning, market leading business and yes, we are both of those things in the wo...
Any company can tell you about how they are a multi award winning, market leading business and yes, we are both of those things in
the world of IoT connectivity! But we’re more than that. 🌍✨ Our mission? To make IoT management a breeze for any device,
anywhere. With over 10 million IoT subscriptions active in 165 countries and direct partnerships with 50 mobile networks, we
connect you to more than 750 networks worldwide, delivering unmatched value across the IoT connectivity chain.
Innovation is in our DNA, and we have an insatiable hunger to ‘wow’! 🚀 While we may not always get it right, our drive to
collaborate, innovate, and achieve top-notch customer satisfaction never wavers. We offer industry expertise, stellar service
support, and the most flexible, resilient, and secure connectivity solutions on the market. Our expertise spans across various
sectors, including industry, agriculture, healthcare, security, transport, utilities, and smart cities.
The Internet of Things (IoT) is like the magical glue that keeps the world connected! 🌐✨ From ordering your favourite takeaway to
the ANPR technology that helps you find a parking spot, IoT is everywhere—even if you don’t realize it. At Wireless Logic, we
provide cutting-edge connectivity solutions and technologies to ensure a vast array of devices stay seamlessly connected.
Head of Quality Engineering
As Head of Quality Engineering at Wireless Logic, you will provide Engineering-wide leadership for how we build confidence in the
systems and software that support our connectivity services. This is a strategic role focused on helping teams deliver
modern, highly available connectivity systems quickly, safely and with clear evidence that quality has been considered throughout
the delivery lifecycle.
You will report to the VP Engineering and partner closely with Engineering Managers, Engineering Leads, Product Managers, Delivery
Managers, Architects, Site Reliability Engineers and senior leaders across Software, Mobile Core, Networks and Infrastructure. The
existing Test Engineers in the Software group will report to this role and remain embedded in product squads, while you build a
broader Quality Engineering capability that supports all Engineering domains.
This role is not about creating a separate testing function that owns quality on behalf of teams. It is about setting the
strategy, standards, practices, tooling and measures that enable every Engineering team to improve release confidence, reduce
escaped defects, strengthen auditability and increase the capability to deliver system changes quickly and safely.
Success will be measured by visible improvements in quality outcomes and delivery flow, including reduced rework and manual
regression effort, improved test coverage and release readiness, better visibility of escaped defects and quality-related
incidents, and stronger evidence for audit and governance across Engineering.
that can be applied consistently across software, mobile core, networks and infrastructure while respecting the specialist
needs of each domain.
changes frequently and confidently by embedding quality practices into discovery, design, build, test, release and operational
readiness activities.
regression, release readiness, test evidence and quality gates so that teams can demonstrate what has been tested and why it is
safe to proceed.
professional Quality Engineering community across Wireless Logic and the European operating companies.
rate, regression cycle time, test coverage, release confidence and quality-related incidents, then using those measures to
drive practical improvement.
Networks by working with domain experts to introduce appropriate test approaches, scenario testing and release controls.
What a Head of Quality Engineering Does
vision, strategy and implementation roadmap, ensuring it supports the wider Technology strategy and the need for highly
available connectivity services.
Engineers, ensuring they have clear expectations, strong professional standards and meaningful opportunities to grow.
regression, exploratory testing, non-functional testing, release readiness and evidence capture across Engineering teams.
safer through risk-based testing, automated verification, scenario testing, pre-release checks, operational
readiness criteria and rollback learning.
failure rate, regression cycle time, test coverage, release confidence, quality-related incidents and rework, using the data to
focus improvement effort.
across appropriate layers, including unit, integration, API, contract, end-to-end, performance, resilience and deployment
verification.
visible, traceable and consistently documented so that Engineering can meet audit, compliance and internal governance
expectations.
to identify systemic quality issues, improve test strategies and prevent repeat failures across teams and domains.
Architecture, SRE and operational stakeholders, helping teams make good quality decisions without slowing delivery
unnecessarily.
Essential Knowledge
quality strategy, standards and operating models across multiple teams or domains.
testing, test data, test environments and appropriate use of unit, integration, API, contract, end-to-end, performance and
resilience testing.
Lean delivery, DevSecOps, CI/CD, trunk-based development, automated deployment and continuous improvement.
including change failure reduction, incident prevention, operational readiness, observability, SLOs and post-incident
learning.
defect leakage, change failure rate, lead time, regression cycle time, test coverage, deployment confidence and quality-related
incidents.
cloud services, automation and deployment pipelines to work credibly with domain experts and tailor quality practices to
different technical contexts.
quality gates that support audit, compliance and sensible risk management without introducing unnecessary bureaucracy.
including performance management, hiring input, career development and building strong professional communities.
non-technical stakeholders around quality risks, trade-offs, priorities and measurable outcomes.
to balance consistency, pragmatism, adoption effort and delivery pressure.
We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst
enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how
we work. You'll find out more about what this means for this role during the recruitment process, but we are currently excited to
have our employees experience our office culture as much as possible.
Wireless Logic Group unites and brings people together. We accomplish this when we lead with a lens of diversity, equity, and
inclusion in everything we do. As a global company that drives culture we aim to reflect the world’s diverse voices both
internally and externally to ensure success in our mission.
By applying for this role, you are consenting for us to hold and process your data in compliance with the General Data Protection
Regulations. If you have any questions or wish to exercise your right to access, erase or restrict the holding or processing of
your data please contact us (recruitment@wirelesslogic.com [recruitment@wirelesslogic.com]) and we will respond to your query as
soon as possible.
ABOUT LENDABLE Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start: * One of the UK’s newest unicorns with a team of just over 700 people * Among the fastest-growing tech companies in the UK * Profitable since 2017 * Backed by top investors including Balderton Capital and Goldman Sachs * Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. JOIN US IF YOU WANT TO 1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo 3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role Quality at Lendable is a team-level responsibility with participation from PMs, EMs and engineers to ensure the right guardrails are in place to deliver quality software. We aggressively automate across the whole test pyramid and only manually test where absolutely necessary. We’re hiring a Head of Quality to be accountable for engineering quality across the organisation, while local responsibility for delivering quality stays with each team. As we grow in headcount and customer numbers, this role keeps the bar high by taking signals from our existing quality processes, evolving our quality gates, and enabling teams rather than gatekeeping them. It is a hands-on role with a managerial aspect. The role will take the lead on using AI in the quality process. Innovating with LLMs to improve efficiency and accuracy of testing. What good looks like: in your first 12 months: * Reduction in incident rate per PR. * SLO coverage across services meaningfully increases. * Introduction of effective AI-assisted quality tooling in the SDLC. * Effective risk based quality reporting on quality. What you'll be doing Own the engineering quality of the organisation Service Level Objectives * Monitor and report on SLO performance. * Engage teams to mature their SLO definitions. * Introduce systematic performance testing in the SDLC. * Ensure initiatives to improve SLO performance are completed. Incidents * Own the follow-ups and resolutions from the incident process across engineering. * Ensure follow ups from incidents are completed. From these and other sources Identify hotspots, catalogue and evaluate risks and recommend remediations. How you’ll do this Being Hands-on This is not a pure managerial role. You will be engaging with teams, innovating with testing solutions and contributing code to test frameworks and CI pipelines.. Managing a team * Hiring and managing a team of ~2 Quality Engineers, they will be new hires to the company. * Deploying Quality Engineers into engineering teams to help them improve their quality. * Managing and supporting individuals that are embedded into different teams across the organisation Driving a Quality Mindset * Evangelising quality across the organisation. * Work with MDs and other senior stakeholders to identify and create solutions to their quality challenges. * Embedding quality thinking into all phases of the SDLC, not just the testing part. * Looking for opportunities to shift-left the testing practices. * Forming a guild of Quality representatives across the organisation. Running Initiatives * Scoping and inserting quality initiatives onto teams roadmaps. * Championing these initiatives with senior stakeholders Developing the use of AI into the quality process Bring tools and processes into the organisation to level-up our testing efficiency using AI. AI testing agents, AI test failure triage agents and AI observers for production environments. Tech stacks you will be working with Backend Coding: PHP, Kotlin, GO, Python Frontend Coding: Typescript, React, React Native, GraphQL, Relay Testing: PHPUnit, Behat, JUnit, Kotest, Jest, Maestro, K6 Observability: Datadog, Sentry, Incident.io, Grafana Infrastructure: AWS, Docker, Kubernetes, RabbitMQ Deployment: Argo, Github, Github Actions What we're looking for Essential * At least 7 years in quality related roles. * Run a number of QA initiatives across an organisation to improve the quality output across engineering teams. * Proven senior stakeholder management. * Experience working with quality across the stack. You have hands-on experience of testing backends and frontends. From functional to unit, performance and accessibility testing. * Have line managed a small team. * Worked with B2C products at scale (millions of users). * Experience shaping CI/CD pipelines for test reliability (GitHub Actions or similar), including flakiness reduction, parallelisation, artefact management, and runtime control. * Have shipped AI tooling into a quality process — this can be as simple as evaluating, buying and rolling out an off-the-shelf AI testing tool, through to building bespoke agents. You can describe the impact it had on how teams worked. * Proactive, low-ego, and clear communicator, able to chase things down when blocked. Nice to Have * Experience with using Datadog, Sentry or similar for monitoring. * Experience with incident.io or similar incident process. * Have managed SLOs and used them to improve quality. * Experience in financial services or other regulated B2C environments. * Mobile app testing experience (e.g. Maestro, native iOS/Android, React Native). Why join? See your work matter: Our products are used by millions of customers. Improving quality ensures issues and outages don’t affect a large population across continents. Quality issues also have a direct impact on company revenue. As we scale further, quality plays a big part in our growth. High autonomy: You will decide where and how to engage across the organisation to improve quality. You will hire a team of Quality Engineers to deploy into teams. Work at the frontier of AI: AI tooling for quality is moving fast. You'll be one of the people deciding how we apply it - what's useful, what isn't, and where to have humans in the loop. An organisation that ships: No layers, no theatre, fast decisions. A fast moving environment that has made the company successful. Interview process 1. Screening Call with the Talent Team 2. Hiring Manager Call 3. VP of Engineering Call 4. Technical Interview 5. Final stage with our CTO LIFE AT LENDABLE * Winning team: the opportunity to scale up one of the world’s most successful fintech companies * Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites * Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls * Health coverage: support for your physical and mental wellbeing, including private health cover * Retirement & savings: long-term financial wellbeing through retirement savings plans * Employee referral programme: earn a competitive bonus when you refer successful new team members * Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations * Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. Check out our blog!
JOB DESCRIPTION We’re looking for a Head of Engineering (m/f/d) / Technical Lead (m/f/d) - someone who combines architectural vision, delivery focus, and hands-on leadership. You’ll guide multiple squads, ensure engineering quality, and help teams ship effectively while staying close enough to the code to unblock issues and keep the system moving. YOUR TASKS * Partner with Product: turn product goals into actionable, outcome-focused technical plan with a strong understanding of how modern apps and platform services interact with a grown product portfolio anchored by a mission-critical ERP * Lead technical direction across multiple initiatives: design, trade-offs, platform evolution, and system integrity * Own architecture: define clear technical patterns and guardrails that balance speed with maintainability * Be the escalation point for engineers: support teams in resolving complex technical issues, with the backing of the VP of Engineering * Raise engineering quality: strengthen testing, CI/CD, release practices, observability, and performance * Drive operational excellence: guide incident response, security improvements, and reliability reviews * Drive AI transformation in engineering: help your team to effectively work with AI tools through the complete SDLC * Grow teams technically: mentor tech leads and senior engineers YOUR PROFILE * Strong hands-on cloud architecture experience (AWS preferred): scaling, load balancing, messaging, caching, and deployment automation * Deep experience with C# / .NET and Angular; familiarity with PostgreSQL and Azure SQL. You've built and maintained backend services that integrate with complex, long-lived systems. * Proven technical leadership - you’ve led multiple squads as a Tech Lead, Lead Engineer, or similar role * Experience leading or contributing to the development of AI-powered products and features is considered a strong plus * AI-assisted engineering mindset - you drive adoption across teams: context management, workflow integration, measuring impact, and continuously evolving on how your engineers work with AI. * Full SDLC ownership: from design and CI/CD to monitoring and incident response * Familiarity with CRM or ERP-style workflows and the constraints of mission-critical business applications * Very nice to have: Experience with API integration into legacy/ERP systems — building stable, well-documented interfaces on top of systems that weren't designed for it YOUR BENEFITS * Collaboration in an empathetic and appreciative team, with a passion for progressive tech solutions * You can utilise your knowledge and personal strengths, gain further qualifications and develop yourself further * You start with structured onboarding and learn on the job, in training sessions or in informal learning formats, e.g. zvoove Garage in interdisciplinary projects and international teams * You have the opportunity to participate in the benefits of our hybrid work concept, which includes working in the office, home office, mobile work and workation * A technology landscape that combines modern cloud-native services with a mature ERP platform — you'll work with both, and that's by design. * Variety of benefits, e.g. pension scheme, health management - including employee discounts I LOOK FORWARD TO RECEIVING YOUR APPLICATION Svenja Krüßel D-49835 Wietmarschen-Lohne Tel.: 0170-7888740 E-Mail: career@zvoove.com
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. HEAD OF ENGINEERING, ADYEN PROTECT We are seeking a visionary and highly technical Head of Engineering to lead the development and scaling of Adyen Protect. Adyen Protect is our ML-first product suite designed to detect and mitigate payment fraud in real-time across billions of transactions. In this role, you will lead a specialized domain of four high-impact engineering teams dedicated to staying ahead of increasingly sophisticated global fraud networks. You will be the strategic driver behind our risk engine, ensuring that our ML models are not only accurate and performant but also transparent and actionable for the world's largest merchants. This is a role for a leader who thrives at the intersection of big data, predictive modeling, and high-availability systems. You will be responsible for ensuring that as Adyen grows, our ability to protect our merchants and their consumers remains world-class. WHAT YOU’LL DO: * Vision & Strategy: Define and execute the technical roadmap for Adyen Protect, aligning Machine Learning capabilities with the evolving needs of global e-commerce and regulatory landscapes. * Scale ML Operations: Lead four multidisciplinary teams in building and maintaining scalable infrastructure for model training, real-time scoring, and automated experimentation (A/B testing) at the millisecond level. * Engineering Excellence: Establish and maintain high standards for engineering quality and reliability. Ensure our fraud detection systems are resilient, low-latency, and capable of processing massive data volumes without downtime. * Cross-Functional Leadership: Partner closely with Product Leaders, Risk officers, and other parts of the business to translate complex fraud patterns into robust technical features and automated mitigation strategies. * Team Development: Mentor and grow a high-performing organization of engineers and engineering managers. Foster an inclusive environment that encourages rapid prototyping, ethical AI practices, and continuous learning. * Merchant Advocacy: Interface with our largest global merchants to understand their unique risk profiles and ensure Adyen Protect provides the granular control and insights they need to grow their business safely. WHO YOU ARE: * ML & Data Enthusiast: You have a deep understanding of Machine Learning lifecycles, from data engineering and feature extraction to model deployment and monitoring. * Proven Leader: You have a track record of leading complex engineering organizations and managing other managers, specifically within high-growth fintech or SaaS environments. * Strategic Problem Solver: You can balance the immediate need for fraud mitigation with the long-term goal of reducing "false positives" to maximize merchant revenue. * Tech-Fluent: You remain technically literate and are comfortable diving into architecture discussions regarding distributed systems, data pipelines, and real-time processing. * Collaborative: You excel at building bridges between technical and non-technical stakeholders, explaining the "why" behind complex (ML) decisions. MINIMUM QUALIFICATIONS: * 7+ years of technical experience, including significant tenure as a hands-on software or machine learning engineer. * 5+ years of experience in manager-of-managers roles, overseeing multiple engineering teams. * Experience with High-Scale Systems: Proven track record of managing products that handle high-throughput, low-latency workloads (e.g., payments, cybersecurity, or real-time bidding). * Domain Expertise: Familiarity with fraud detection, risk management, or identity verification systems is highly preferred. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.