DevOps Engineer
Listed on 2025-12-27
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IT/Tech
Cloud Computing, Systems Engineer
About my Tomorrows
my Tomorrows is a global health tech company dedicated to breaking down barriers for patients seeking treatment options.
We strive to enable earlier and better treatment access by bridging the gap between those searching for possible options,and the companies whodevelopthem. We work closely with patients, healthcare professionals, trial sites, patient advocacy groups, and Bio Pharma – connecting key stakeholders in the drug development ecosystem.
We’ve developed a cutting-edge AI-powered technology platform that simplifies and streamlines access to drugs in development. To support our users and clients, we have a range of industry-expert specialized teams ready to help. Our services include clinical trial patient recruitment, Expanded Access Program management and Real-World Data collection.
With a global footprint spanning 134 countries, to date we’ve supported over 17,000 patients, 2,900 physicians and 350 sites, earning the trust of 50+ Bio Pharma companies. In October 2025, we closed a €25M investment with Avego Healthcare Capital to fuel our global ambitions and scale the business.
Join us in shaping the future of treatment access - making tomorrow’s therapies accessible for people who need them today.
The opportunity:Dev Ops Engineer
As a Dev Ops Engineer, you will play a critical part in our platform’s infrastructure and deployment pipeline. Your expertise will be essential in designing, implementing, and maintaining our Dev Ops infrastructure, supporting our software development teams. Collaborating closely with cross-functional teams, you will drive automation, scalability, and security in all aspects of our technology stack.
Given that most of our team is in The Netherlands, we only consider candidates for this position who are currently based in the Netherlands within commuting distance to our office in Amsterdam.
What you will be doing in this role:Designing, implementing, and maintaining our Dev Ops infrastructure.
Managing the deployment, automation, and configurations of our applications.
Establishing and sustaining comprehensive monitoring protocols for all elements within our infrastructure.
Collaborating harmoniously with the development and quality assurance teams, safeguarding our system’s robustness, scalability, and security.
Implementing and administering systems that proactively identify and resolve issues through vigilant monitoring and alert mechanisms.
Maintaining and improving our build and deployment processes.
Developing and maintaining comprehensive documentation of our systems and processes.
Mentoring and training junior team members of the Dev Ops team.
Staying up to date with the latest trends and technology in the Dev Ops area.
Have 3+ years of experience in Dev Ops or any related field.
Are proficient with cloud platforms (AWS, Azure or GCP)
Have experience with containerization technologies such as Docker.
Have a thorough understanding of infrastructure‑as‑code concepts and tools such as Terraform and Cloud Formation.
Have experience automating the deployment, scaling, and management of containerized applications using technologies like Kubernetes.
Have hands‑on experience with CI/CD pipelines and related tools such as Git Hub Actions, Gitlab or Circle
CI.Possess strong proactive problem‑solving skills and can work both independently and as part of a team.
Hold excellent verbal and written communication skills (in English) to convey ideas and facilitate discussions.
We are fully cloud‑native, utilizing AWS. We adopt a Lean, API first product development approach leveraging cloud technologies and design practices.
Our web front‑end applications are developed predominantly in Angular, using Type Script / Wordpress headless content management systems.
Our platform technologies, both microservice and AI, are developed in Python.
We also foster a rapidly growing expertise in knowledge graphs (Neo4j) and database technologies (SQL, No
SQL restful etc.). In addition, we develop human‑in‑the‑loop machine learning for healthcare in‑house, such as LLMs and other NLP techniques.
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