Principal Software Engineer

Berlin
10 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Principal Software Engineer IoT & Full-Stack

Senior Software Engineer

Software Engineer

Principal Mechanical Design Engineer - Medical Devices

Principal Mechanical Engineer

Principal Software Engineer
Berlin - Permanent Employee, Full-Time, Hybrid working (3 days a week on site)
€120,000 - €150,000 + 20% Bonus + Holiday + Pension + Flexible Working Hours

Excellent opportunity for an experienced Principal Engineer to step into a senior leadership role with broad technical influence across teams and departments, contributing to a platform that is transforming the future of healthcare through cutting-edge AI and machine learning.

This company is a highly regarded spin-off from one of Europe's largest university hospitals and technical universities. Their mission is to revolutionise the diagnosis and treatment of complex diseases by combining state-of-the-art software engineering, cloud infrastructure, and ML-driven insights. With a collaborative, fast-growing team and a supportive leadership culture, they are building high-impact technology that directly affects lives.

In this role, you will act as the technical right-hand to the CTO, owning architecture across multiple teams, guiding technical strategy, and mentoring senior engineers. You'll shape core platform decisions while remaining close to the technology, influencing more than 60 engineers and helping teams deliver scalable, secure, and reliable systems.

The ideal candidate will be a master-level engineer with deep technical breadth, excellent mentoring skills, and experience making architectural decisions that span departments. You may have held titles such as Staff Engineer, Principal Engineer, or even CTO at a smaller company. Leadership experience is valued, but a hands-on technical expert who's worked across teams and systems is key.

This is a fantastic opportunity to join a purpose-driven company where your expertise will help shape healthcare innovation at scale, while working alongside experienced engineers, data scientists, and stakeholders across disciplines.

The Role:
*Own and evolve the technical direction and architecture of core platforms and services
*Influence 60+ engineers across multiple teams with cross-cutting technical decisions
*Lead adoption of best practices across cloud infrastructure, DevSecOps, MLOps, and backend architecture
*Mentor and coach senior engineers to raise engineering standards organisation-wide
*Prototype solutions and work hands-on to enable technical excellence across teams
*Partner with stakeholders to align engineering strategy with business and product goals
*Hybrid working, 3 days a week on site in Berlin

The Person:
*10-15+ years' experience in software engineering, with technical leadership across teams or departments
*Strong architecture and system design background in distributed, event-driven systems
*Experience in cloud platforms (GCP preferred, AWS and/or Azure also welcome) and containerisation (Docker, Kubernetes)
*Proficiency in Python (important), with exposure to Java, Kotlin, TypeScript, and ML frameworks like PyTorch
*Ability to influence large-scale technical decisions across engineering organisations (100+ engineers)
*Strong communicator and mentor, with a track record of driving best practices and technical excellence

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.

Careers

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.

Jobs

What Hiring Managers Look for First in Edge Computing Job Applications (UK Guide)

In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line. This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.

Education

The Skills Gap in Edge Computing Jobs: What Universities Aren’t Teaching

Edge computing is rapidly moving from niche concept to critical infrastructure. As organisations deploy connected devices, sensors, autonomous systems and real-time analytics, processing data closer to where it is generated has become essential. From smart cities and manufacturing to healthcare, transport, defence and telecommunications, edge computing underpins systems where latency, reliability and resilience matter. Demand for edge computing skills across the UK is rising steadily — yet employers consistently report difficulty finding candidates who are genuinely job-ready. Despite growing interest and academic coverage, universities are not fully preparing graduates for real edge computing jobs. This article explores the edge computing skills gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build sustainable careers in edge computing.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.