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- Tasks: Architect and implement 24/7 infrastructure for data-intensive systems.
- Company: High-growth tech company focused on innovative solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact on cutting-edge ML-driven platforms and shape engineering best practices.
- Qualifications: 3+ years in software or infrastructure engineering, cloud experience, and scripting skills.
- Other info: Join a dynamic team with a focus on reliability and scalability.
The predicted salary is between 36000 - 60000 £ per year.
We’re working on behalf of a high-growth technology company operating at significant scale, and are looking for an experienced Infrastructure Engineer to help evolve a critical platform supporting data-intensive and ML-driven systems. This is a hands-on role with real ownership, operating in a production environment where reliability, scalability, and cost efficiency genuinely matter.
Description
- Architect and implement infrastructure running 24/7, supporting ingestion of data initially from an extremely successful, privacy-focused mobile telemetry product.
- Provide input to AI and Data software teams as they build out ML systems on top of the infrastructure.
- Take part in building an SRE culture across infrastructure teams, including systems that identify issues before they impact users.
- Own a plan for onboarding existing systems and customers onto the new platform.
- Contribute to maturing release and deployment processes across the organisation.
- Optimise infrastructure costs and improve reuse wherever possible.
- Provide general operational support.
Requirements
- 3+ years’ experience in software or infrastructure engineering roles.
- Experience with at least one major public cloud provider (AWS preferred).
- Understanding of how infrastructure and platform decisions impact downstream systems.
- Hands-on experience with Kubernetes, containers, and Terraform.
- Hands-on experience with Kafka and infrastructure deployments.
- Scripting or software development experience using Python.
- Familiarity with Databricks.
- Familiarity with OpenShift.
- Experience working within an infrastructure team supporting high-scale data and/or ML systems.
This role would suit someone who enjoys operating close to production, partnering with AI and Data teams, and taking responsibility for systems that run at scale. You’ll have meaningful influence over infrastructure decisions and the opportunity to help shape engineering best practices as the platform continues to grow.
DevOps Engineer employer: Tavus
Contact Detail:
Tavus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to infrastructure, Kubernetes, or any cool ML systems you've worked on. 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. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on experience with Kubernetes, Terraform, and any cloud providers you've worked with. We want to see how you can contribute to our infrastructure!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for DevOps and how your previous roles have prepared you for this position. Don’t forget to mention your experience with data-intensive systems and how you can help us build a robust platform.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in past roles, especially those related to reliability and scalability. We love seeing candidates who can think critically and proactively address issues before they impact users.
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’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Tavus
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Kubernetes, and Terraform. Brush up on your knowledge of Kafka and Python scripting too. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around infrastructure reliability and scalability. Think of examples where you identified issues before they impacted users, as this aligns perfectly with the SRE culture they’re looking to build.
✨Understand the Business Impact
Be ready to explain how your infrastructure decisions have influenced downstream systems in past projects. This shows that you understand the bigger picture and can contribute to optimising costs and improving efficiency, which is crucial for this role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current infrastructure challenges and their vision for the future. This not only demonstrates your interest but also gives you a chance to assess if the company aligns with your career goals and values.
