Tech Lead (w/m/d)

About Us

StratifAI is an innovative Berlin-based precision oncology startup developing the next generation of AI-based cancer biomarkers. The founders have published over 100 articles in top-tier journals and founded StratifAI to translate these novel ideas into patient care.

Our products enable cancer patients to receive the right treatment at the right time – both for existing drugs on the market, and by supporting pharmaceutical companies in developing the drugs of tomorrow.

What We Offer

• The opportunity to make a real difference for cancer patients.
• Competitive salary, stock options and extra benefits.
• A beautiful office near Alexanderplatz with an on-site gym, private showers, free drinks and snacks, rooftop bar, co-working space, and a quiet room for meditation or prayer.
• Competing at the global top-tier of cancer research together with the founders, who are renowned researchers in the field of AI for biomarker development from medical imaging.
• An extremely fast-paced and high-growth VC-funded start-up environment with key ownership from day 1.

Our Core Values

1. Trust, honesty & open communication between everyone
2. Saving time >>> money. Moving fast, 80/20 principle
3. Mistakes are ok as long as we learn from them, fast
4. We aim to be the best and deliver the highest quality, without egos

Job Description

As Tech Lead you are the key link between our scientific discoveries and product development efforts. You will define and execute the technical vision for our AI-based Software as a Medical Device (SaMD) platform. You’ll lead the engineering team, contribute hands-on across the stack, and build an infrastructure that is secure, scalable, and compliant. As part of our AI-first culture, you’ll also scout, evaluate, and integrate emerging tools and technologies to 10x the engineering team’s efficiency.

Job Key Responsibilities

• Lead the engineering team and set the technical culture for high performance.
• Architect and maintain a scalable, secure AWS infrastructure using Infrastructure-as-Code best practices.
• Lead CI/CD strategy with automated testing and deployment pipelines.
• Drive product full-stack development, contributing to the codebase as needed.
• Define, build, and maintain APIs to serve internal tools and external integrations.
• Implement security and privacy standards across the stack, ensuring HIPAA, GDPR, and ISO 27001 compliance.
• Establish a compliant software development lifecycle in line with IEC 62304 and ISO 13485, with traceability, testing, and documentation built-in from day one.
• Support regulatory documentation for submission under In Vitro diagnostic regulations in the US (FDA) and Europe (IVDR).
• Own the IP technology strategy, working with legal teams to convert innovation into patents and defensible differentiation.
• Champion our AI-first culture, staying ahead on emerging tools, frameworks, and developer productivity platforms (e.g., AI coding copilots).

Required Experience

• 10+ years in software engineering, with 5+ years in a leadership role.
• Strong proficiency in full-stack development (ReactJS, Django, Flask, Node.js).
• Experience designing and operating modern APIs and cloud-native apps on AWS.
• Proficiency with AWS Infrastructure-as-Code tools such as Terraform.
• Solid grounding in cybersecurity best practices and privacy frameworks (HIPAA/GDPR).
• Experience contributing to or leading patent/IP strategy is a plus.

Qualification & Skills

• Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
• Strong system design, DevOps, and cloud architecture skills.
• Excellent communicator, able to translate complex systems into simplified language.
• Habit of staying current with emerging AI/dev tools, frameworks, and best practices.

Good to Have

• Experience with AI/ML products and the evolving AI regulatory landscape.
• Deep understanding of regulated software development (IEC 62304, ISO 13485).
• Background in healthcare, digital pathology, or bioinformatics.
• Startup or high-growth team experience.
• Familiarity with tools like GitHub Copilot, Cursor, Replit, or other AI productivity tools.