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For Companies At a Glance
- Tasks: Automate processes and build CI/CD pipelines using AWS, Azure, and GCP.
- Company: Join a team focused on innovative digital solutions in London.
- Benefits: Enjoy a hybrid work environment and flexible hours.
- Why this job: Make a real impact with cutting-edge technology and collaborative culture.
- Qualifications: Experience with cloud platforms and CI/CD automation is essential.
- Other info: Contact Anna-Jane Murphy at Anson McCade for more details.
The predicted salary is between 48000 - 64000 £ per year.
We are building a world-class team of software engineers and are now looking to hire a DevOps Engineer. If you want to work with innovative technology, come and join our fast-growing startup. Lots of interesting challenges and a competitive salary.
Key Responsibilities
Deploying, automating, maintaining and managing cloud-based production system, to ensure their availability, performance, scalability and security
Oversee the continuous integration and continuous deployment (CI/CD) pipeline, ensuring the smooth transition of code from the development environment to production
Use monitoring tools to proactively identify issues
Implement, maintain, and enhance development tools and platforms to boost efficiency and productivity, facilitating smoother and faster development cycles.
Contribute to a “automation first” philosophy, using Infrastructure-as-code tools
Requirements
Solid experience with managing large scale production deployments in Public Clouds (AWS, Azure)
Strong Experience building infrastructure using Kubernetes, Terraform and CI/CD tools such as Github Actions
Proven experience in using and setting up monitoring tools such as Prometheus, Grafana, New Relic, or similar as well as log management systems (ELK stack, etc)
OO Programming Skills
Good understanding of Agile/Scrum software development methodology
Bachelor’s Degree in Computer Science, Software Engineering or a related STEM field
Fluent in English
DevOps Engineer with Python employer: Engine AI
Contact Detail:
Engine AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer with Python
✨Tip Number 1
Familiarize yourself with the specific cloud platforms mentioned in the job description, such as AWS, Azure, and GCP. Having hands-on experience or certifications in these areas can significantly boost your chances of standing out.
✨Tip Number 2
Showcase your experience with CI/CD tools like Jenkins, Git, Terraform, and Ansible. Consider preparing a brief overview of a project where you successfully implemented these tools to demonstrate your practical knowledge.
✨Tip Number 3
Highlight any experience you have with containerization technologies such as Docker and orchestration tools like Kubernetes. Being able to discuss how you've used these technologies in past projects will make you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your approach to designing resilient cloud infrastructure. Think about examples where you've implemented high availability and disaster recovery solutions, as this aligns closely with the responsibilities of the role.
We think you need these skills to ace DevOps Engineer with Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Azure, and GCP. Include specific examples of how you've built CI/CD pipelines and automated environments to showcase your relevant skills.
Craft a Strong Cover Letter: In your cover letter, express your passion for DevOps and detail your experience with automation and cloud platforms. Mention any specific projects where you implemented microservices or container solutions.
Highlight Relevant Skills: Clearly list your expertise in tools like Jenkins, Git, Terraform, and Ansible. Also, emphasize your knowledge of logging and monitoring systems such as ELK and Splunk, as these are crucial for the role.
Showcase Problem-Solving Abilities: Provide examples of how you've solved configuration and environmental issues in past roles. This will demonstrate your ability to tackle complex problems, which is key for this position.
How to prepare for a job interview at Engine AI
✨Showcase Your Automation Skills
Be prepared to discuss specific examples of how you've automated processes using AWS, Azure, or GCP. Highlight any challenges you faced and how you overcame them.
✨Demonstrate CI/CD Pipeline Experience
Talk about your experience with tools like Jenkins, Git, Terraform, and Ansible. Be ready to explain how you've built and optimized CI/CD pipelines in previous roles.
✨Discuss Microservices and Containerization
Share your knowledge of microservices architecture and container solutions such as Kubernetes and Docker. Provide examples of projects where you've implemented these technologies.
✨Prepare for Technical Questions
Expect questions related to cloud infrastructure, logging, monitoring, and alerting systems. Brush up on your understanding of ELK, Splunk, and CloudWatch, and be ready to solve hypothetical configuration issues.
