At a Glance
- Tasks: Drive DevOps best practices and work on AI and data-driven platforms.
- Company: Established EdTech company focused on making a positive impact.
- Benefits: Competitive salary, remote-first model, and quarterly team meet-ups.
- Other info: Opportunity for hands-on work with innovative technologies in a supportive environment.
- Why this job: Join a mission-driven team and influence product scalability with cutting-edge tech.
- Qualifications: Senior level experience in DevOps, AWS, Python, and monitoring tools.
The predicted salary is between 75000 - 85000 £ per year.
Oliver Bernard are currently working with an established EdTech company, based in London, looking to expand their DevOps function with a Senior level engineer. The incoming profile will have the chance to work across AI and Data driven platforms, influencing scalability as they expand the usage of the product, whilst driving DevOps best practices.
Key Requirements:
- Hands-On Cloud experience with AWS and AWS Services
- Strong Monitoring experience with DataDog
- Recent hands-on project work with Python and Lambdas
This position is open to Senior level Engineers, able to offer £75-85K, and operates a remote first model (with only quarterly visits required).
DevOps Engineer - (Python) employer: Oliver Bernard
Join a forward-thinking EdTech company in London that prioritises innovation and social impact, offering a remote-first work culture with only quarterly visits. As a Senior DevOps Engineer, you'll have the opportunity to work on cutting-edge AI and data-driven platforms, while benefiting from a supportive environment that fosters professional growth and embraces DevOps best practices. With competitive salaries and a commitment to meaningful work, this is an excellent place for those looking to make a difference in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land DevOps Engineer - (Python)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in DevOps. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with AWS, Kubernetes, and Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common DevOps scenarios and be ready to discuss how you’ve tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our team.
We think you need these skills to ace DevOps Engineer - (Python)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with AWS, Kubernetes, and Python, as these are key for us at StudySmarter.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about tech for good. Share specific examples of how you've driven DevOps best practices in previous roles, especially in relation to AI and data-driven platforms.
Showcase Your Projects:If you've worked on relevant projects, especially with CI/CD or monitoring tools like DataDog, make sure to include them. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Kubernetes, Terraform, and CI/CD processes. Brush up on your hands-on experience with Python and Lambdas, as these will likely come up during the interview. Being able to discuss specific projects where you've implemented these technologies will really impress.
✨Showcase Your Monitoring Skills
Since strong monitoring experience with DataDog is a key requirement, prepare to discuss how you've used it in past roles. Bring examples of how you’ve set up monitoring solutions and how they improved system performance or reliability.
✨Demonstrate Your Problem-Solving Skills
Be ready to tackle some technical challenges or scenarios during the interview. Think about how you would approach scaling issues or deployment problems. Showing your thought process and how you handle obstacles can set you apart from other candidates.
✨Align with Their Mission
This role is with a 'Tech for Good' company, so it’s important to express your passion for using technology to make a positive impact. Share any relevant experiences or projects that align with this mission, and show that you’re not just looking for a job, but a chance to contribute to something meaningful.
