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Job Title: Engineering Manager
Reporting To : Director of Engineering
Member of : Engineering Group
About Us:
Platform9: A Better Way to Go Cloud Native
Platform9 empowers enterprises with a faster, better, and more cost-effective way to go cloud native. Its fully automated container management and orchestration solution delivers cost control, resource reduction, and speed of application deployment. Its unique always-on assurance™ technology ensures 24/7 non-stop operations through remote monitoring, automated upgrades, and proactive problem resolution. Innovative enterprises like Juniper, Kingfisher Plc, Mavenir, Rackspace, and Cloudera achieve 4x faster time-to-market, up to 90% reduction in operational costs, and 99.99% uptime. Platform9 is an inclusive, globally distributed company backed by leading investors.
In addition to serving a healthy base of customers with our core managed kubernetes and managed openstack product offerings, we have recently launched a new product, EMP, that maximizes EKS utilization and reduces costs. We are looking for an engineering manager to own, improve, and deliver Platform9's leading product(s).
Responsibilities
Ideal Characteristics/Profile
Nice to have
Benefits and Perks:
Employees today are looking for companies that truly care and recognize their whole person. Platform 9's benefits and perks have been carefully designed to ensure that we take care of an employee's emotions and physical well-being. Many of our benefits extend to families, who form a significant part of our well-being at work
Please note that benefits change by country.
Our benefits have been carefully selected, keeping in mind employee requirements and personal situations now and in the future.
Job ID: 111467809
Skills:
containerization , Jenkins, Terraform, Docker, Ansible, Amazon Aws, Kubernetes, UNIX-like operating systems, Build Systems
Skills:
react.js , Express.Js, Node.js, MongoDB, Mern Stack
Skills:
Java, Query Optimization, Javascript, C, MySQL, PostgreSQL, Python, Cloud Computing, Database Internals, RDBMS internals
Skills:
Google Cloud, Tensorflow, Pandas, Pytorch, Microsoft Azure, Keras, Python, AWS, GANs, AI Architecture, Generative AI, RNNs, cloud platforms, deep learning architectures, CNNs
Skills:
Java, Golang, Kafka, Node.js, Sql, Agile Software Development, Scrum, Python, Serverless Architecture, Schema Evolution, DevOps tools and techniques, Event First Microservices, Kanban
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