What are the responsibilities and job description for the DeVops Engineer position at Pittsburgh Robotics Network?
DevOps Engineer
TDK SensEI
Pittsburgh, PA
This position is for our Pittsburgh, PA office - only apply if you are based there or willing to relocate.
At TDK SensEI, we are transforming how industrial customers utilize and interact with sensor data. We specialize in developing advanced AI solutions capable of running directly on edge devices. By processing data locally, TDK SensEI enhances real-time decision-making, privacy, security, and cost efficiency. Our offerings include automated machine learning tools, AI-powered condition-based monitoring systems, and various sensor devices optimized for low latency and power consumption. 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.
We are seeking a Dev Ops engineer to join our team. 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.
As a Dev Ops Engineer, Your Responsibilities Will Include
TDK SensEI
Pittsburgh, PA
This position is for our Pittsburgh, PA office - only apply if you are based there or willing to relocate.
At TDK SensEI, we are transforming how industrial customers utilize and interact with sensor data. We specialize in developing advanced AI solutions capable of running directly on edge devices. By processing data locally, TDK SensEI enhances real-time decision-making, privacy, security, and cost efficiency. Our offerings include automated machine learning tools, AI-powered condition-based monitoring systems, and various sensor devices optimized for low latency and power consumption. 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.
We are seeking a Dev Ops engineer to join our team. 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.
As a Dev Ops Engineer, 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
- Bachelor’s degree or equivalent experience
- Minimum 2 years of experience in DevOps, infrastructure automation or similar role
- Knowledge of Linux/UNIX administration
- Proficiency in Python, JavaScript and other script environments (e.g. bash)
- Experience with containerization technologies, Docker and associated tooling
- Experience designing and implementing CI/CD pipelines
- Experience operating databases such as PostgreSQL or MySQL, especially in cloud-native services like RDS
- Awareness of critical concepts in DevOps and Agile principles
- US work authorization
- AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
- Familiarity with other cloud providers (Azure, Google Cloud).
- Experience with container orchestration systems such as Kubernetes/EKS
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