Staff Platform Engineer (d/f/m)

Berlin

Aignostics GmbH

Aignostics turns complex biomedical data into transformative insights for biopharma companies through development of AI-powered precision medicine for pathology throughout the drug development pipeline from target identification, to...

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Why us?

We believe that AI has the potential to revolutionize how cancer and other complex diseases are diagnosed and treated. We also believe that AI is a tool, not an identity – without access to high-quality data and a scientifically rigorous, transparent approach to model development, AI is just a buzzword. That's where we come in.


Aignostics is a spin-off from one of Europe's largest and most prestigious university hospitals (Charité), with employees in Berlin and New York. We have received over $50M in funding from leading investors and are a growing team of over 100 interdisciplinary professionals. We work with academic partners as well as leading global life sciences companies.


As a Staff Platform Engineer at Aignostics, you will play a crucial role in shaping the technical direction and architecture of our cloud infrastructure and platform solutions that underpin our data management platform and system landscape. You will work hand in hand with fellow engineering leads at Aignostics, as well as collaborators in academia and industry. You will establish infrastructure standards and champion DevOps practices across all teams. Your expertise in cloud architecture, orchestration, and infrastructure automation will be crucial in building scalable, secure systems that enable the transformation of complex biomedical data into actionable insights for cancer research and diagnostics. You'll provide technical guidance while empowering teams to own their implementation, balancing innovation with stability to advance our platform capabilities. You will report directly to the Head of Backend & Platform Engineering.


This is a unique opportunity to join a fun, diverse and growing team of 100+ software engineers, applied scientists, biologists and pathologists to shape the next generation of cancer treatments. You will be part of a dedicated community that works in an agile, supportive and interdisciplinary research environment where your results make a difference to patients. In our established startup, you have the opportunity to grow personally and technically, take on significant responsibilities and benefit from a dynamic work environment.


At Aignostics, we believe that fighting cancer is a job for people of all identities, backgrounds, and cultures. We value and celebrate diversity and inclusion and are committed to offering equal employment and promotion opportunities for all applicants and employees. Applicants will be considered regardless of their age, disability, ethnicity, race, gender identity or expression, sexual orientation, religion, etc. We thrive through collaboration and believe the more inclusive we are, the better our work will be.

Where your expertise is needed

Steer: Define and drive the technical architecture and system design principles for our data management platform and infrastructure, working closely with engineering leads to establish standards and drive future development.

Consult: Guide the CTO office, product management and fellow engineering leads through complex decisions by providing expert consultation on feasibility, architecture, trade-offs and risk mitigation strategies, while ensuring alignment with our technical vision.
Coordinate: Foster technical alignment across teams by establishing shared architectural principles and best practices, facilitating cross-team design reviews to enable consistent decision-making across domains.

Lead: Champion technical excellence by leading strategic initiatives that modernize our architecture and reduce technical debt while measuring and improving our technical health metrics.

Educate: Elevate the technical capabilities of our engineering staff through structured mentoring, workshops and establishing comprehensive technical guidelines that enable teams to make better design decisions.

Advocate: Drive innovation by evaluating emerging technologies, leading proof-of-concept initiatives and building support for strategic technical investments that advance our engineering capabilities while ensuring measurable business value.

What we are looking for

Solid foundation: Advanced degree in a relevant field or extensive work experience.

Proven experience: 8+ years of infrastructure/DevOps experience, with at least 2 years in a Staff/Lead Platform Engineering role. 

Excellence in execution: Proven track record of designing and implementing scalable infrastructure solutions with measurable impact. 

Infrastructure architect: Extensive background in cloud-native architectures, infrastructure design patterns, and internal platform development. Experience with multiple infrastructure layers from networking to application delivery. 

Reliability champion: Deep expertise in building resilient systems with proper observability, scaling, and disaster recovery capabilities. 

Cloud native: Mastery of cloud platforms (e.g., GCP, AWS), container orchestration (e.g., Docker, Kubernetes), and modern GitOps workflows. Experience with service mesh technologies and multi-cluster management. 

DevOps leader: Strong background in infrastructure automation tools (e.g., Terraform, Helm, Crossplane), CI/CD pipelines (e.g., GitLab, GitHub Actions), and platform security (e.g., OPA, Kyverno, cert-manager).

Well-rounded communicator: Excellent communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders.

Self-driven learner: Stays current with technology trends, evaluates new solutions (including AI) and grows with our challenges.

Ideally, you also:
  • Are an expert in Golang and relevant frameworks to drive cloud native architectures even further.
  • Contribute to open-source projects or technical publications.
  • Worked in a regulated environment, e.g. financial services, aerospace or healthcare.
  • Have experience with MLOps and data processing of large image data.
  • Have knowledge of digital pathology or medical imaging.

We are still keen to hear from you if you don't match all the above points! Our needs are diverse and growing and you are encouraged to apply if you have a strong combination of the above skills.


Our offer

  • Join a purpose-driven start up: We are working collectively to fight cancer and improve patient outcomes. Come help us make a difference!
  • Cutting-edge AI research and development, with involvement of Charité, TU Berlin and our other partners
  • Work with a welcoming, diverse and highly international team of colleagues 
  • Opportunity to take responsibility and grow your role within the startup
  • Expand your skills by benefitting from our Learning & Development yearly budget of 1,000 € (plus 2 L&D days), language classes and internal development programs
  • Mentoring program, you’ll learn from great experts
  • Flexible working hours and teleworking policy
  • Enjoy your well-deserved time off within our 28 paid vacations days per year
  • We are family & pet friendly and support flexible parental leave options
  • Pick a subsidized membership of your choice among public transport, sports and well-being
  • Enjoy our social gatherings, lunches and off-site events for a fun and inclusive work environment

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture AWS CI/CD Data management DevOps Docker Engineering GCP GitHub GitLab Golang Helm Kubernetes ML models MLOps Open Source Pipelines Research Security Terraform

Perks/benefits: Career development Flex hours Flex vacation Medical leave Parental leave Pet friendly Startup environment Team events

Region: Europe
Country: Germany

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