Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and manage secure, automated AWS infrastructure for data engineering.
- Company: Join a forward-thinking tech company focused on data-driven innovation.
- Benefits: Enjoy competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Make an impact by enhancing developer experiences and driving automation in a collaborative environment.
- Qualifications: Experience with AWS, Infrastructure as Code, and strong collaboration skills required.
- Other info: Dynamic team culture with a focus on continuous learning and modern technologies.
The predicted salary is between 36000 - 60000 ÂŁ per year.
We are seeking an experienced AWS Platform Engineer to join our Data Platforms team, designing, building, and managing secure, automated deployment solutions and cloud‑native data environments. The Platform Engineer will collaborate closely with Data Engineers, Data Scientists, Front‑End Engineers, and Designers to deliver robust, scalable, and maintainable data infrastructure. This role will leverage Infrastructure as Code (IaC), Kubernetes, Backstage, and GitHub Actions to automate and streamline deployment workflows, ensuring environments are secure, observable, and consistent. You’ll work across multiple teams — including Insight, Data Lake, and Infrastructure — to deliver a high‑performance, compliant, and developer‑friendly platform ecosystem that accelerates data‑driven innovation. You will champion DevOps and Platform Engineering best practices, using Backstage to enhance the developer experience (DX) and GitHub Actions to drive automation, self‑service, and continuous delivery, ensuring reliability and efficiency are embedded across all delivery processes.
Responsibilities
- Designing, implementing, and managing secure, automated infrastructure in AWS to support data engineering pipelines and analytical workloads.
- Building cloud‑native environments using Terraform, Kubernetes (EKS), and GitOps automation (e.g., ArgoCD, GitHub Actions).
- Developing Backstage scaffolder templates and plugins to enable self‑service platform capabilities and streamline developer onboarding.
- Enabling end‑to‑end automation — from infrastructure provisioning to deployment, monitoring, and teardown — ensuring every step is repeatable, observable, and compliant.
- Managing and optimising multi‑tenant Kubernetes clusters, improving reliability, scalability, and workload isolation across multiple teams.
- Collaborating with Data Engineering, Data Science, and Analytics teams to deliver performant, reproducible, and developer‑friendly environments.
- Designing IaC modules, Backstage templates, and reusable platform components that align with enterprise standards and support cross‑team reuse.
- Driving adoption of best‑in‑class DevOps and Platform Engineering techniques — researching and piloting emerging technologies such as MCP Servers, Airflow, Grafana Cloud, and Crossplane to keep the platform modern and efficient.
- Championing security, governance, and observability through integrated tooling (CloudWatch, CloudTrail, Prometheus, Grafana, and centralised observability).
What you'll bring
- Proven experience with AWS cloud data platforms, including EKS, EC2, S3, EMR, Lambda, and VPC design.
- Expertise in Infrastructure as Code (Terraform) and container orchestration (Kubernetes, Docker), with strong automation and templating skills.
- Hands‑on experience with CI/CD and GitOps tooling, including GitHub Actions, Jenkins, ArgoCD, or FluxCD.
- Experience designing and supporting data pipeline orchestration (e.g., Airflow, Astronomer) within secure, multi‑cloud environments.
- Experience with Backstage, developing scaffolder templates, managing catalog integrations, and improving developer self‑service capabilities.
- Programming/scripting proficiency in Python and Bash, with a focus on automation frameworks and platform tooling.
- Familiarity with modern observability stacks (Grafana, Prometheus, Loki, OpenTelemetry) and centralised logging/search platforms.
- Strong collaboration and communication skills, with the ability to explain technical concepts clearly to non‑technical stakeholders.
- Solid understanding of AWS security and networking, including IAM, VPC, Transit Gateway, Route53, CloudWatch, and CloudTrail.
- Experience leading software tool evaluations, POCs, and vendor selections to enhance platform capabilities.
We'd love you to know or learn
- Experience implementing and automating SaaS integrations and data workflows across internal and third‑party systems.
- Exposure to Crossplane for cloud‑agnostic resource provisioning and multi‑cloud management.
- Familiarity with GitOps practices and managing deployments declaratively through pipelines.
- Interest in AI/ML workflow enablement and MCP Server integrations for data‑driven automation.
- Understanding of Platform as a Product, Backstage developer portals, and the developer experience lifecycle.
- Experience with data pipeline orchestration using Apache Airflow or Prefect.
- A passion for continuous learning and staying ahead of modern DevOps, Platform Engineering, and GitOps practices.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Engineering and Information Technology
Platform Engineer employer: NewDay
Contact Detail:
NewDay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer
✨Tip Number 1
Network like a pro! Attend meetups, webinars, and tech conferences related to AWS and Platform Engineering. It's a great way to meet industry folks and get your name out there.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving IaC, Kubernetes, or CI/CD. This gives potential employers a peek into your hands-on experience.
✨Tip Number 3
Tailor your approach! When reaching out to companies, mention specific projects or technologies they use that excite you. It shows you've done your homework and are genuinely interested.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it’s a straightforward way to ensure your application gets noticed by the right people.
We think you need these skills to ace Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Platform Engineer role. Highlight your AWS expertise, IaC experience, and any relevant projects you've worked on. We want to see how you can contribute to our Data Platforms team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific technologies like Kubernetes and GitHub Actions that you’ve worked with.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in cloud-native environments or automation, make sure to include them. We love seeing practical examples of your work, especially if they involve Backstage or Terraform!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at NewDay
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around EKS, EC2, and S3. Be ready to discuss how you've used these services in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your IaC Skills
Prepare to talk about your experience with Infrastructure as Code, particularly Terraform. Have examples ready that demonstrate how you've automated infrastructure provisioning and managed deployments using IaC principles.
✨Collaboration is Key
Since this role involves working closely with various teams, be prepared to share examples of how you've successfully collaborated with Data Engineers, Data Scientists, or Front-End Engineers in the past. Highlight your communication skills and how you explain technical concepts to non-technical stakeholders.
✨Demonstrate Your DevOps Mindset
Familiarise yourself with best practices in DevOps and Platform Engineering. Be ready to discuss tools like GitHub Actions and Backstage, and how you've used them to enhance developer experience and streamline workflows in previous roles.