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For Companies At a Glance
- Tasks: Design and manage scalable Azure cloud infrastructure while improving data flow and platform performance.
- Company: Fast-growing SaaS organisation focused on modern, data-driven solutions.
- Benefits: Competitive salary of £75k plus a 10% bonus, with remote work flexibility.
- Other info: Exciting opportunity for career growth in a collaborative and innovative environment.
- Why this job: Join a dynamic team to shape the future of data platforms and enhance user insights.
- Qualifications: Strong Azure experience, DevOps background, and skills in GitHub Actions and Terraform.
The predicted salary is between 75000 - 75000 £ per year.
Location: Remote (UK)
Salary: £75k + 10% Bonus
Key Skills:
- Azure
- Terraform
- Kubernetes
- Kafka
- Data platforms
Overview
We’re partnering with a fast-growing SaaS organisation building a modern, data-driven platform that powers better insight into behaviour, performance, and collaboration at scale. They’re scaling their platform capability and are now looking for a Platform Engineer to help design, build, and evolve their cloud and data infrastructure. This is a hands-on role spanning cloud infrastructure, DevOps, and data platform engineering.
The Role
You’ll work across Azure cloud infrastructure and data platforms, helping to build scalable, secure systems and improve how data flows across the organisation. You’ll also play a key role in improving deployment processes, system reliability, and overall platform performance, working closely with software and data teams.
Key Responsibilities
- Design and manage scalable Azure cloud infrastructure
- Own Infrastructure as Code using Terraform
- Build and maintain CI/CD pipelines using GitHub Actions (essential)
- Support GitHub-based release and deployment workflows
- Work with Kafka for event-driven streaming and real-time data movement
- Support and evolve data platforms (Databricks ideal)
- Build and maintain data pipelines (batch + streaming / ETL / ELT)
- Improve platform reliability, observability, and performance
- Collaborate with engineering teams to improve developer experience
Requirements
- Strong Azure cloud experience
- Background in Platform Engineering, DevOps, or SRE
- Strong experience with GitHub Actions for CI/CD (essential)
- Kubernetes, Docker, and Terraform experience
- Strong scripting skills (Python, Bash, or PowerShell)
- Experience with Kafka or similar streaming platforms
- Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery)
- Strong understanding of data pipelines and distributed systems
- Focus on automation, scalability, and reliability
Nice to Have
- Lakehouse or large-scale data platform experience
- Observability tooling (Datadog, Grafana, Prometheus)
- SaaS / high-growth product experience
- Strong developer experience mindset
Azure DevOps Engineer (Kafka) in Plymouth employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure DevOps Engineer (Kafka) in Plymouth
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. 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 involving Azure, Terraform, and Kafka. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common DevOps scenarios. Brush up on your knowledge of CI/CD pipelines and data platforms, 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 hiring team.
We think you need these skills to ace Azure DevOps Engineer (Kafka) in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Azure, Terraform, and Kubernetes experience. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in DevOps and data platforms makes you a perfect fit for our team.
Showcase Your Projects: If you've worked on any cool projects involving CI/CD pipelines or Kafka, make sure to mention them! We love seeing practical examples of your work that demonstrate 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 Digital Waffle
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Terraform, Kubernetes, and Kafka. Brush up on your knowledge of CI/CD pipelines using GitHub Actions, as this is essential for the role. Being able to discuss how you've used these technologies in past projects will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to cloud infrastructure and data platforms. Think about how you improved deployment processes or enhanced system reliability. Real-world examples will demonstrate your hands-on experience and critical thinking.
✨Understand the Company’s Vision
Research the SaaS organisation and understand their mission and the data-driven platform they are building. Be ready to explain how your skills can contribute to their goals, particularly in improving data flow and collaboration across teams. This shows that you’re not just looking for any job, but that you’re genuinely interested in their work.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and their approach to scaling their platform. This not only shows your interest but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.