Position: DevOps Engineer
Company: SD Solutions
Category: DevOps
Experience required: 5y
English level: upper

We're looking for an experienced DevOps Engineer, you will take part in the design and implementation of scalable systems that will keep our services running smoothly and support our fast business growth (toward millions of industrial machines monitored). You will play a significant part in an innovative, high-performance R&D team that is committed to delivering an application using cutting edge technologies in a dynamic and agile environment.

**Responsibilities:**

- Take responsibility for all DevOps activity and ensuring the availability and reliability of our service.
- Program application automation and developer tools to allow for smooth and effective day-to-day activity.
- Collaborate with software engineers to optimize application performance, reliability, failover, and scale.
- Maintain the responsibility for the application lifecycle management – CI/CD pipelines, releases and hotfixes.
- Monitor and maintain large production systems, allowing for the customers to navigate the system with agility.

**Requirements:**

- 5+ years of meaningful industry experience.
- Experience working with AWS.
- Experience with Docker, including operating an orchestrator (Kubernetes, Docker Swarm or Amazon ECS).
- Experience with Jenkins pipelines.
- Experience with Linux system administration.
- Experience with managing NoSQL Databases and large clusters (HDFS, Apache Spark, Elastic).
- Experience with Infrastructure as Code tool as Terraform.
- Experience with configuration management tools such as Ansible.
- Programming experience in Python/Java.
- Excellent oral and written communication skills with a keen sense of customer service.
- Excellent problem-solving and troubleshooting skills.
- Process-oriented with great documentation skills.
- Knowledge of best practices and IT operations in an always-up, always-available service.
- Experience with or knowledge of Agile Software Development methodologies.

**About the company:**

SKF-AI provides an AI-Driven Industrial Intelligence solution. The SKF-AI solution uses advanced Artificial Intelligence to provide asset failure predictions based on monitoring sensors’ signal data in the cloud. With its proprietary adaptive algorithms, SKF-AI can analyze sensor behavior, automatically learn how machines behave, and use this learning to predict machine failures before they occur.