Senior DevOps Engineer

5 days ago

Singapore CYNAPSE PTE. LTD. Full time
Roles & Responsibilities

About Cynapse

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 Senior 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

Minimum 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
  • Willing to perform complex installations both in the cloud and on-site
  • Motivated to get a good understanding of Machine Learning applications in order to help troubleshoot customer issues

Personal Competencies

  • 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
  • Excellent communication skills

Benefits

  • Competitive base salary
  • Unique opportunity to work with a talented global team on cutting-edge technologies
  • Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates who are based in Singapore

Tell employers what skills you have
Excellent Communication Skills
Machine Learning
Kubernetes
Azure
Hardware
Pipelines
Attention to Detail
Continuous Integration
Docker
Ansible
Java
System Deployment
Linux
Software Development

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