Be the Next Game Changer
The Cloud Engineer function within the Service Delivery Infrastructure group at Medidata is a software and systems engineering position, involving the continual development of our existing deployment and infrastructure automation tools. The candidate will be primarily responsible for development, enhancement, troubleshooting and maintenance for infrastructure hosted in Private Datacenter. Your solutions will be secure, scalable, testable, and maintainable. The role will also require coming up with new cutting edge tools and workflows to manage an ever growing amount of applications, services and data which comprise our Medidata Clinical Cloud SaaS solution. We use software engineering skills to solve Infrastructure operational problems.
Building and maintaining deployment and infrastructure automation tools
Help the team build and maintain processes and tools for rapid deployment of infrastructure, monitoring and operations
Troubleshoot and resolve issues in our dev, test and production environments
Help performance tune and optimize distributed systems, operating systems, networks, and applications
Implement system management strategies for optimization, rapid feedback and high availability
Define requirements for current and future tools development.
Provide technical solutions that are sustainable, supportable & scalable.
Design and implementation of low-latency, high-availability, and performant applications
Experience participating in code reviews and making recommendations on requirements and best practices.
Deliver the required functionality in an agreed upon timely manner / work in an modified Scrum environment
Bridge the gap between development and operations to ensure successful delivery of projects
Provide operational support and automation tools to application developers
Strong DevOps skills including Continuous Integration, Continuous Deployment, Test Automation, and Infrastructure as Code - on the Public/Private Cloud platforms (AWS/VMware)
Experience with both Linux (Ubuntu, Red Hat) and Windows environments
Experience in software instrumentation for monitoring and observability
Advanced knowledge and experience with container technologies using Docker and Kubernetes
Docker/Kubernetes deployment, configuration, scaling and management of containerized applications.
Infrastructure Operations and Production Support of container technologies and orchestration platforms
Exposure to monitoring tools such as Prometheus/Grafana.
Experience in Source control management such as Git, GitHub
Experience maintaining large clusters using configuration tools such as: Ansible, Chef (Preferable Ansible experience)
Develop and maintain system use guides, run books, and other documentation as needed Evaluate and determine opportunities for automation and implementation Proficient with application build and release processes and DevOps-relevant programming and scripting.
Excellent system security awareness and knowledge in OS hardening.
Work closely with engineers, QA, project managers throughout the software lifecycle in optimally delivering outstanding, large scale systems
Your Education & Experience:
Ideally majored in computer science, information systems or life sciences but alternatively relevant work experience will also be considered.
7+ years of total experience with at least 3+ years hands-on experience with containers in Production Environments - Docker, Kubernetes preferred and 3 years of Scripting experience (Shell, Python ) and Systems Administration skills
Experience with VMware, AWS, cloud and SaaS services, as well as networking concepts and services like load balancing, DHCP, DNS, and routing.
4+ years of professional experience in Linux/Windows systems, networking, distributed systems
Hardening, securing the Kubernetes cluster with monitoring and auditing dashboards
At least 2+ years of Programming skills in any one of these Python, Ansible, Go preferred
Understanding of networking concepts
Work closely with application teams in ensuring best practices are followed and the infrastructure automation can be self-service
Experience supporting a 24x7 Operational environment, requiring shift support
Medidata is making a real difference in the lives of patients everywhere by accelerating critical drug and medical device development, enabling life-saving drugs and medical devices to get to market faster. Our products sit at the convergence of the Technology and Life Sciences industries, one of most exciting areas for global innovation. Nine of the top 10 best-selling drugs in 2017 were developed on the Medidata platform.
Medidata’s solutions have powered over 14,000 clinical trials giving us the largest collection of clinical trial data in the world. With this asset, we pioneer innovative, advanced applications and intelligent data analytics, bringing an unmatched level of quality and efficiency to clinical trials enabling treatments to reach waiting patients sooner.
Medidata Solutions, Inc. is an Equal Opportunity Employer. Medidata Solutions provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by the law. Medidata Solutions complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
MEDIDATA generates the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes.