Senior DevOps Engineer

7 days ago

Singapore Cynapse Full time

Join Us
In Shaping
the Future of
Video Intelligence
At cynapse.ai, we believe that our people are the heart of our innovation. We are dedicated to fostering a
collaborative, diverse , and open culture that empowers every employee to lead and innovate .
If you’re passionate about technology and eager to make a meaningful impact, cynapse.ai is the place for you. Join us and help deliver beyond expectations with agility and excellence.
Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.
Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what’s possible with video intelligence.
Job Description
We are looking for an experienced and highly motivated DevOps Engineer to join our AI Product group that delivers challenging, enterprise-scale Video Content Analytics solutions to global customers. You will conform to high standards of system deployment and support, working in a cutting-edge, dynamic, and professionally challenging environment.
Responsibilities
Lead our initiatives on DevOps automation on large clusters (20+ instances)
Take care of Continuous Integration pipelines (Jenkins pipelines, Sonar, Git...)
Customer Operations: Install and configure software products (Kubernetes, Rancher, Docker, Prometheus, Grafana, etc.)
Perform installation and DevOps support in the public cloud, on Edge devices, or in data centres
Troubleshoot software and hardware issues
Qualifications
Has worked at least 4 years as a Devops Engineer and has a good understanding of the software development lifecycle (build, code quality analyzers, unit tests, functional tests...)
Great communication and organisation skills
Is willing to perform complex installations both in the cloud and on-site
Is motivated to get a good understanding of Machine Learning applications in order to help troubleshoot customer issues
Innovative, motivated, and a quick learner
Ability to work well in a small team and take end-to-end ownership of problems and their resolution
Attention to detail, curiosity, and passion for technology
Unique opportunity to work with a talented global team on cutting-edge technologies
Exciting work environment with flexible hours
Due to the nature of the role, the position is considered for candidates who are based in Singapore
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