Kubernetes/Integration Engineer

Your Job

The Kubernetes/Integration Engineer role is critical for the implementation, development, and maintenance of Computer Vision applications and the "Kochedge" and NATS platforms that support over 100 facilities.

These platforms enable use cases across Manufacturing, Supply Chain, and Commercial operations.

The team delivers sustainable value by leveraging Advanced Analytics, Information Technology, and actionable insights, with a focus on cutting-edge analytics capabilities.

In this role, you will work closely with data scientists and manufacturing teams to apply the latest AI and analytics technologies, driving enterprise-wide performance and competitive advantage.

What You Will Do


* 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 GP 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.

Who You Are (Basic Qualifications)


* Proficient in Python, SQL, Bash scripting, Docker, and additional programming languages.


* Hands-on experience with AWS services: Lambda, EC2, ECS, EKS, S3, IAM, ALB.


* Developed and deployed containerized applications using Kubernetes, AWS ECS, and AWS Lambda.


* Worked with data streaming platforms such as Kafka, NATS, or MQTT.


* Utilized Infrastructure-as-Code tools like Terraform and Helm for environment provisioning and deployment automation.


* Experienced in coding and debugging within containerized environments.


* Familiar with version control / SCM


* Applied data structures and algorithms in software development.


* Bachelor's degree in a relevant technical field.

What Will Put You Ahead


* Experience working with GitHub for version control and collaboration.


* Implemented monitoring and logging using Prometheus, Grafana, and Splunk.


* Designed or maintained edge computing architectures and hybrid cloud deployments.


* Deployed and managed applications on edge platforms.


* Master's degree in Computer Science, Engineering, or related disciplin es.

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