Senior/DevOps Engineer, Video Intelligence

We are seeking a highly skilled DevSecOps Engineer with strong expertise in managing large scale containers using an orchestration platform such as Kubernetes, Tanzu, Docker Swarm or other similar products. The candidate should have good understanding of microservices architecture , and familiar with deploying and using services such as RabbitMQ , Kafka , Elasticsearch , Zookeeper , Redis , Flink etc. The role requires experience in containerization , building and maintaining CI/CD pipelines using GitLab or Jenkins , good networking skills in VLAN, switching, routing and basic knowledge of AI and video analytics technologies. Additionally, the candidate should be familiar with Linux OS , Python , and Bash scripting . What will you do?Design, deploy, and maintain scalable, highly available microservices architecture Ensure fault-tolerant infrastructure and maximum uptime in production environments Implement event-driven and message-driven architecture (Nice-to-Have)Containerization & Orchestration Build and manage containerized applications using Docker Deploy and orchestrate applications using Kubernetes, Tanzu, or Docker Swarm CI/CD & Automation Configure and maintain CI/CD pipelines using GitLab or Jenkins Develop automation scripts using Python, Bash, or PowerShell Automate deployments, monitoring, and server management tasks Messaging & Data Processing Work with message brokers like RabbitMQ, ActiveMQ Deploy and manage Kafka, Elasticsearch, Zookeeper, Redis Experience with data processing technologies like Apache Flink, Spark Monitoring, Troubleshooting & Security Monitor infrastructure health and performance Conduct root cause analysis and resolve issues in distributed systems Apply DevSecOps best practices (Nice-to-Have)Operating Systems & Networking Administer Linux-based systems and perform necessary scripting tasks Understand networking concepts (VLANs, switching, routing)Basic understanding of AI concepts and video analytics technologies (e.g., OpenCV, FFmpeg)Experience with cloud platforms like AWS, GCP, or Azure Collaborate cross-functionally with other technical teams Communicate effectively and contribute in a fast-paced, agile environment The ideal candidate should possess: Technical Skills & Experience Strong experience in microservices architecture and distributed systems Expertise in containerization with Docker and orchestration using Kubernetes, Tanzu, or Docker Swarm Proven ability to build and maintain CI/CD pipelines using GitLab or Jenkins Hands-on experience with message brokers like RabbitMQ or ActiveMQ Proficiency in big data technologies such as Kafka, Elasticsearch Familiarity with data processing tools like Apache Flink, Apache Spark Scripting skills in Python, Bash, and PowerShell for automation and server management Working knowledge of Linux-based OS for managing servers and deployment environments Solid understanding of networking fundamentals: VLANs, switching, routing Experience with cloud platforms (AWS, GCP, or Azure) is an advantage Familiarity with DevSecOps practices Exposure to AI and video analytics technologies such as OpenCV or FFmpeg is a plus Knowledge of event-driven and message-driven architecture is desirable Soft Skills Excellent problem-solving and analytical capabilities Strong communication and collaboration skills Ability to thrive in a fast-paced, cross-functional team environment High attention to detail with a focus on quality delivery We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity —and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future . Together, we make the extraordinary happen . Learn more about us at ncs.co and visit our LinkedIn career site. #J-18808-Ljbffr