DevOps Engineer
Job Summary
Job Description
9 skills required
Job Details
AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.
DeepLearning.AI is looking for a DevOps Engineer with strong computer science fundamentals and a passion for improving learner experiences. The ideal candidate will thrive in the early development stage of a leading educational environment focusing on AI-related topics.
The DevOps Engineer will be responsible for designing, implementing, and maintaining the infrastructure that supports our software development and deployment process. This includes managing and automating our build and deployment pipelines, ensuring the high availability and performance of our systems, and collaborating with development and operations teams to troubleshoot and resolve issues.
Here’s what you’ll do:
- Design, implement, and maintain the infrastructure that supports our software development and deployment process.
- Build and maintain automated deployment pipelines for our applications.
- Ensure the availability, performance, and security of our systems.
- Collaborate with development and operations teams to troubleshoot and resolve issues.
- Monitor system health and proactively identify and address potential issues.
- Automate manual processes to improve efficiency and reduce errors.
- Respond to on-call incidents as part of the software development team.
- Stay up-to-date with the latest DevOps technologies and practices
Here are the skills you should have:
- Bachelor's degree in Computer Science or related field.
- Minimum of 3 years of experience in DevOps or related field.
- Strong experience with cloud-based infrastructure (AWS preferred) and computer networking.
- Experience with automation and configuration management tools (Ansible, Chef, Puppet, etc.)
- Experience with containerization technologies (Docker, Kubernetes, etc.).
- Experience with software development workflow management tools (Github Actions, AWS CodePipeline, etc)
At DeepLearning.AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. DeepLearning.AI believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.
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