Senior DevOps Engineer
About the company:
At CloudGeometry, we have embarked on the mission to truly offer top-notch, cloud-first, AI-driven technology solutions to our customers. We are an AWS-advanced consulting partner, CNCF member, and Kubernetes Certified Service Provider, part of the AI&Data working group under the Linux Foundation. We work for enterprise US Fortune 500 companies and tech start-ups from Silicon Valley to Europe. While working on our projects, you are not going to just disappear from the company radar, as we are all engineering-driven, so do expect a question or request for engagement even from our CEO.
About the role:
You will be joining a team of 3 Senior DevOps Engineers and 1 Lead DevOps Engineer. Our customer offer solutions in Scientific Data and AI Cloud, with a mission to radically improve and extend human life. Pur customer combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes.
Cloudgeometry Engineering Profile:
We are in search of experienced senior software engineers who possess a deep passion for technology and an eagerness to tackle complex technical challenges. You have a strong interest in leveraging AI and cutting-edge methodologies to drive efficiency and precision in your work. A strong commitment to the organization's growth and the advancement of its internal ventures is critical. You care about your project, but also about CloudGeometry communities and their development. Sharing best practices with engineering communities across projects is paramount to you. You must demonstrate a commitment to continuous learning, allocating time to acquire new skills and obtain certifications to validate your expertise and experience.
What You Will Do
Collaborate with product and engineering teams to drive and enhance the entire lifecycle of our products, from design and development to deployment and operation.
Deploy and troubleshoot our products in clients' AWS environments, ensuring smooth integration and optimal performance.
Develop infrastructure-as-code (IaC) software layers, scripts, deployment frameworks, monitors, and self-healing tools to automate processes and improve efficiency.
Assist the software engineering team in building accurate monitoring and metrics systems for applications before they go into production.
Manage the internal AWS environments and network, ensuring stability, security, and scalability.
Participate in meetings with potential clients, working alongside solution architects to address their questions and concerns regarding the integration of our products into their network and AWS accounts.
Maintain up-to-date documentation on deployments, processes, and standard operating procedures.
Requirements
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience.
At least 5 years of professional experience as a DevOps Engineer or in a similar role.
Extensive experience with Amazon Web Services (AWS), including AWS certifications.
Strong proficiency in infrastructure-as-code (IaC) tools, preferably CloudFormation.
Proficiency in at least one programming language, such as Python, Java, or Go.
Expertise in automating cloud-native technologies, deploying applications, and provisioning infrastructure.
Experience with cloud-native CI/CD workflows and tools, such as Jenkins, GitLab, or AWS CodeDeploy.
Familiarity with microservices architecture, containerization, and orchestration tools like Docker and Kubernetes.
Solid understanding of Linux basics, networking fundamentals, and security best practices.
Excellent communication skills, both verbal and written.
Benefits
What we offer:
We are building hyper-growth careers in Cloud Native, AI/ML-centric projects, using the best Silicon Valley practices, anywhere in the world.
Remote anywhere
Coworking space financial coverage
Flexible working hours
B2B with multiple benefits
Paid days off annually: 20 days leave, 12 days holidays, 10 days sick leave
Workspace program: 2500$ for work equipment of your choice.
English language lessons on all levels
Performance financial incentives for those who demonstrate an interest in the company’s development.
Paid courses and certifications: example AWS, CKA, ML certifications
Participation at international conferences: like CNCF Summits, Kubecon, others