DevSecOps Engineer, Video Intelligence

We are seeking a DevSecOps Engineer with experience in managing small to medium scale of containers using 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, built and maintain 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
Key Responsibilities:
Microservices Architecture: Develop and manage microservices to ensure high availability and scalability.
Containerization & Kubernetes: Build and deploy containerized applications using Docker and manage orchestration with Kubernetes.
CI/CD Pipeline Management: Configure, manage, and troubleshoot GitLab CI/CD pipelines for continuous integration and delivery.
Big Data: Familiarity with big data technology such as Elasticsearch, Kafka.
Python & Bash Scripting: Write and maintain Python, Bash script or PowerShell script for automation, deployments, and troubleshooting.
Troubleshooting & Monitoring: Proactively monitor systems, perform root cause analysis, and ensure the reliability of the platform.
Collaboration: Work closely with other teams to collaborate on any tasks when required.
Experience in microservices architecture and distributed systems.
Design, deploy, and maintain highly available and fault-tolerant infrastructure, ensuring maximum uptime and performance across distributed systems in production environments.
Hands-on experience with containerization technologies such as Docker and orchestration using Kubernetes.
Proficiency in managing CI/CD pipelines using GitLab.
Experience with message brokers such as RabbitMQ, ActiveMQ.
Experience with big data technology such as Elasticsearch, Kafka.
Experience with data processing technology such as Apache Flink, Spark.
Utilize basic knowledge of Linux Based OS to manage servers, deployment environments, and perform necessary scripting.
Python, Bash and PowerShell scripting skills for automation and server management.
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Strong skills in troubleshooting and root cause analysis within distributed systems.
Nice-to-Have:
Basic knowledge of AI concepts and video analytics technologies like OpenCV or FFmpeg.
Experience in event-driven architecture and message-driven design.
Advanced knowledge of DevSecOps practices.
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Ability to work effectively in a fast-paced, cross-functional team environment.
Detail-oriented with a commitment to deliver high-quality work.

Employment type
Full-time

Work arrangement
No