Kubernetes/Integration Engineer

Job-ID27120635Reference26-00315TypeRight to HireExperience7Remote30% Remote Overview This role is critical to the implementation, development, and maintenance of Computer Vision Applications, and Kochedge and NATS platforms used across multiple facilities use cases spanning Manufacturing, Supply Chain, and Commercial activities . This group creates sustainable value and competitive advantage by leveraging Advanced Analytics, Information, Technology, and Actionable insights across the enterprise while focusing on futuristic possibilities of analytics. This role will have the opportunity to leverage the latest AI and Analytics technologies working closely with our data scientists and manufacturing capabilities. Job Responsibilities Own end-to-end development and deployment of scalable data pipelines, machine learning models, and application solutions. Application deployments in Kubernetes and AWS, and support Kubernetes and NATS platform. Collaborate with data scientists, other engineers, and product managers to launch new AI products, iterate on existing features, and build a world-class user experience. Implement cutting-edge technologies and will be writing state-of-the-art code to ensure deliveries of highly performant and elegant applications. Foster growth and a collaborative mindset for all members of your team. Proactively identify technical debt and implement solutions to improve product iteration speed. Lead by example and foster a culture of excellence, high execution velocity, and intellectual humility. Establish best practices for high-quality technical design and engineering. Manage own learning and contribute to technical skill building of the team. Basic Qualifications: Python, SQL, Docker, Bash scripting and additional languages development experience. AWS services such as Lambda, EC2, ECS, EKS, S3, IAM, ALB, etc. Experience working with Containerized Application development and deployment in Kubernetes, AWS ECS, AWS Lambda, etc. Experience with data streaming technologies such as Kafka, NATS, MQTT, or similar platforms Experience using Infrastructure-as-Code tools such as Terraform, Helm Expertise in crafting code within containerized environments. Bachelor’s degree. Familiarity with version control/SCM is a must (experience with GitHub is a plus). Strong organizational and troubleshooting skills with attention to detail. Strong analytical ability, judgment, and problem-solving techniques. Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security, and usability. Knowledge of data structures and algorithms. Preferred Qualifications: Experience with monitoring and logging tools such as Prometheus, Grafana, Splunk Experience with edge computing architectures and hybrid cloud deployments Bachelor’s or master’s degree in computer science, Engineering, or related fields. Knowledge of deploying and executing applications on edge.