Role Description In the Engineering team at Owkin, you will be at the heart of our mission to accelerate research at scale. You will contribute to building and maintaining a robust research platform that enables our data scientists and researchers to focus on what matters most - advancing scientific discoveries. - Design, implement, and maintain cloud-based infrastructure and services, mostly on AWS - Participate in incident response to ensure high availability and reliability - Gather and analyze metrics from both operating systems and applications to assist in performance tuning - Support and improve our CI/CD pipelines, development workflows, and security practices - Contribute to the design and evolution of our data architecture to support large-scale data processing while ensuring granular data access controls and security compliance - Contribute to maintaining the confidentiality, integrity, and availability of data - Lead initiatives involving multiple SRE team members - Collaborate with a variety of teams to offer pragmatic solutions and be accountable for the end-to-end execution of the SRE scope - Mentor and promote tech growth within the team - Participate in a team-wise shared on-call rotation Qualifications - 5+ years of industry experience with a Masters or BS degree in computer science, software engineering, or an associated field - Strong experience with AWS cloud computing services or similar (GCP, Azure, …) - Expertise in Terraform and Kubernetes - Experience in deploying and maintaining on-premises environments - Good knowledge of Linux environment (system, security, and network) - Experience with CI/CD tooling (FluxCD, Github actions, …) - Experience with logging, monitoring, and alerting stacks (Prometheus, Grafana, Loki, …) - Experience in cyber security and applicable standards (in particular ISO 27001) - Fluency in English is a prerequisite; additional language skills in French would be preferred - Candidates not meeting every criteria, but who can demonstrate exceptional skill in key areas, are invited to apply Requirements - Kubernetes and/or public cloud certification - Experience with maintaining high uptime services - Experience building software in a high-level language, such as Python - Experience in project management - Experience with more observability solutions (e.g., Datadog, NewRelic, Dash0…) - Worked in healthcare Benefits - Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds

• Utilize AI-assisted Development tools and frameworks to design, develop, and maintain CI/CD pipelines for build, test, security scanning, and release across unclassified and classified environments • Integrate and operate security scanning toolchains as automated pipeline stages • Use AI-assisted development workflows daily and champion their adoption across teams • Contribute to the development of agentic AI capabilities including tool orchestration, prompt engineering, and workflow automation • Build tooling and automation to support continuous Authority to Operate processes • Develop and maintain hardening pipeline templates for secure-by-default software delivery • Support platform's security pipeline layer • Deploy and operate Kubernetes clusters in classified environments • Deploy, configure, and support AI-powered development tools for platform consumers and internal team use • Support AI/ML platform infrastructure as part of the broader platform offering • Implement Infrastructure-as-Code for environment provisioning, cluster lifecycle, and configuration management • Support multi-cluster management and hub/spoke deployment models • Configure and troubleshoot network connectivity, Zscaler integration, and Okta/SAML identity federation for platform consumers • Contribute to platform evolution including self-service namespaces, developer onboarding, and golden-path templates • Maintain and improve multiple production software factory environments serving diverse federal customers • Contribute to runbooks, operational documentation, and incident response procedures

• Collaborate closely with the development team to deploy and maintain application infrastructure. • Assist in the development and support of tooling to streamline the deployment and maintenance of our products. • Work with Kubernetes, Docker, Helm and ArgoCD to deploy applications from development through to production environments. • Support both in-house and third-party applications, including handling deployments, upgrades, and troubleshooting. • Write and manage automation pipelines for application deployment and maintenance. • Provision and manage infrastructure using Terraform. • Document processes and best practices clearly and concisely.

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Deployments team designs and maintains our continuous delivery infrastructure, ensuring reliable code deployment from development through production for all engineering teams. This infrastructure is primarily composed of Argo Workflows and ArgoCD. The team also provides tooling that enables clear system ownership and facilitates self-service onboarding for development teams. We are looking to speak to candidates who can work East Coast hours. The ideal candidate should - Have 6+ years of experience in software development and operating distributed systems - Proficiency in Python, Go, or a similar language - Proven experience building and operating large-scale continuous integration and continuous deployment (CI/CD) pipelines - Possess a customer-focused mindset - Value efficiency in processes and operations - Prefer automation over manual process (“allergic to ops work”). We are a small team of software engineers with a strong bias towards software solutions to avoid toil - Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market - Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure - Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing) Expectations - Contribute to developing a world-class continuous deployment experience, enabling the rapid and reliable shipment of MongoDB products - This includes, but is not limited to, contributing to open-source projects, or engineering software-based approaches like Kubernetes operators to streamline processes - Own the onboarding flow other engineering teams follow when launching a new product or service - Collaborate with other teams within Platform Engineering to ensure a consistent service-onboarding experience - Provide internal support for our deployment systems, including answering questions and addressing issues - Participate in a 24/7 on-call rotation to resolve issues involving the deployment infrastructure About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 426184 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $127,000—$249,000 USD