DevOps Engineer (Hybrid Cloud/Kubernetes/Linux)
Medidata: Conquering Diseases Together
Medidata is leading the digital transformation of life sciences, creating hope for millions of patients. Medidata helps generate the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes. More than one million registered users across 1,400 customers and partners access the world's most-used platform for clinical development, commercial, and real-world data. Medidata, a Dassault Systèmes company, is headquartered in New York City and has offices around the world to meet the needs of its customers. Discover more at www.medidata.com.
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
Build backend frameworks that are maintainable, flexible and scalable
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 and Windows environments
Experience in software instrumentation for monitoring and observability
Experience with automation, idempotent deployments testing, continuous delivery pipelines, and documentation
Advanced knowledge and experience with container technologies using Docker/OpenShift and Kubernetes (design, build, configuration)
Analyzing and troubleshooting container performance
Knowledge of web servers and load balancers
Experience in Source control management such as Git, GitHub
Experience working with server clusters consisting of 100s-1000s of machines, and deploying changing with zero downtime
Proven experience in Containers orchestration tools like ECS, Kubernetes, developing CloudFormation Templates, knowledge of SAM templates preferred and/or Terraform
Experience maintaining large clusters using configuration tools such as: Ansible, Chef (Preferable Ansible experience)
Design, develop and integrate highly complex DevOps pipelines, including build automation, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting
Proficient with application build and release processes and DevOps-relevant programming and scripting.
Proactive and solution-oriented individual
Must have good oral/written communication skills
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.
Minimum of 3-5 years of experience required
4+ years of professional experience in Linux/Windows systems, networking, distributed systems
At least 2+ years of experience with Kubernetes and Docker
At least 2+ years of Programming skills in any one of these Python, Ansible, Go preferred
Experience developing application and utilities
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.