**This position is for our Pittsburgh, PA office - only apply if you are based there or willing to relocate**
At TDK Qeexo, we are transforming the utilization and interaction with sensor data. As pioneers in automating end-to-end machine learning for edge devices, we are reshaping the landscape of "tinyML" development. Collaborating with leading global companies, we empower teams to effortlessly devise and implement machine learning solutions for industrial applications, all without the need for coding. Originating as a spin-off from Carnegie Mellon University in 2012, we are now a proud part of TDK Corporation, a prominent global player in sensor technology.
Qeexo is currently seeking an enthusiastic individual to fill the role of DevOps Engineer. In this position, the candidate will be responsible for managing, operating, and provisioning cloud environments such as AWS,Azure,Google cloud. You will work with development, security, and operations teams to deploy, scale, and operate dev environments. You are also responsible for improving and automating the dev environment. You will establish configuration management, automate our infrastructure, implement continuous integration, and train the team in DevOps best practices to achieve a continuously deployable system.
Your responsibilities will include:
- Designing, implementing, and maintaining tools and processes for continuous integration, delivery, and deployment of software
- Working with developers to deploy and manage code changes
- Working with operations staff to ensure that systems are up and running smoothly
- Automating, monitoring, testing, configuring, networking, and Infrastructure as Code (IaC)
- Streamlining and automating processes while troubleshooting existing development procedures
- Managing the creation, release, and configuration of production systems
- Architecting and optimizing several service components running on AWS environment
Skills & Requirements:
- Bachelor’s degree or equivalent experience
- Minimum 3 years of DevOps work experience including AWS environment
- Strong understanding of Linux/UNIX administration
- Excellent understanding of Python/Java and other scripting skills such as Bash for automation tasks
- Experience with containerization technologies such as Docker and other relevant tools
- Proven expertise in designing and implementing CI/CD pipelines
- Configuration and managing databases such as PostgreSQL or MySQL
- Working knowledge of various tools, open-source technologies, and cloud services
- Excellent troubleshooting · Awareness of critical concepts in DevOps and Agile principles
- US work authorization
Nice to Have:
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Familiarity with other cloud providers (Azure, Google Cloud Platform).
- Experience with container orchestration using tools such as Kubernetes