At a Glance
- Tasks: Design and maintain scalable cloud infrastructure using AWS and Kubernetes.
- Company: Join a fast-growing tech company leading in applied AI for enterprise.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Inclusive culture with a commitment to diversity and career development.
- Why this job: Be at the forefront of technology, shaping the future of cloud infrastructure.
- Qualifications: Experience with AWS, Kubernetes, and Infrastructure-as-Code is essential.
The predicted salary is between 70000 - 100000 £ per year.
This is an exciting opportunity to join a fast-growing, venture-backed technology company at the forefront of applied AI for enterprise. Recognised by leading industry publications and experiencing rapid global growth, the company is transforming how complex professional workflows are delivered at scale.
We are seeking a skilled and forward-thinking engineer to join an Infrastructure team in a DevOps / Platform Engineering role. The ideal candidate will have a strong background in building cloud-native infrastructure with a focus on automation, scalability, and security, alongside deep experience with Infrastructure-as-Code (IaC). You will play a key role in designing and evolving a modern AWS-based platform, improving deployment patterns, automating environment provisioning, and ensuring systems are reliable, repeatable, and resilient.
- Design, build, and maintain scalable cloud infrastructure using AWS services such as EC2, EKS, RDS/Aurora, ElastiCache, OpenSearch, and CloudFront.
- Drive the development and adoption of Kubernetes (EKS) for managing both production and internal workloads.
- Architect and implement Infrastructure-as-Code (IaC) pipelines, integrating tools such as Terraform into CI/CD workflows for provisioning, validation, and testing.
- Implement and improve zero-downtime deployment strategies (e.g. blue/green, rolling, canary), including automated rollback and recovery.
- Continuously enhance platform resilience by removing single points of failure and improving autoscaling and high availability.
- Collaborate with SRE, Security, and Engineering teams to strengthen observability, monitoring, and alerting using tools like Prometheus, Grafana, and CloudWatch.
- Partner with Security to embed best practices across IAM, secrets management, web application firewalls, and posture management.
- Optimise infrastructure performance and cloud spend through automation and cost visibility tooling.
- Participate in on-call rotations, incident reviews, and ongoing reliability improvements.
Job Requirements:
- Proven experience designing, automating, and maintaining AWS infrastructure (e.g. EKS, RDS, EC2, CloudFront, VPC, IAM, Security Hub).
- Hands-on experience building IaC pipelines using Terraform, integrated with CI/CD tools (e.g. GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline).
- Strong knowledge of Kubernetes operations on AWS, including scaling, deployment automation, and monitoring.
- Solid foundation in Linux systems administration, networking, and cloud security principles.
- Experience with observability tooling (e.g. Prometheus, Grafana, Loki) and structured alerting practices.
- Experience managing databases, including migrations, high availability setups, backups, and disaster recovery strategies.
- Strong scripting and automation skills (e.g. Terraform, Python, Bash).
- Excellent communication and collaboration skills, with a focus on improving engineering efficiency through automation and standardisation.
Interview Process:
- 1st stage interview
- 2nd stage technical
- Offer stage
If you are interested, please apply to this advert or email your CV. Please note - all applicants must be based in Poland.
Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.
Our Commitment To Diversity, Equity, And Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
Platform Engineer (Kubernetes) in Cambridge employer: Signify Technology
At Signify Technology, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team thrives in a fast-paced environment, where employees are encouraged to grow their skills through challenging projects and continuous learning opportunities. With competitive salaries, performance bonuses, and a commitment to work-life balance, we ensure that our engineers not only excel in their roles but also enjoy a fulfilling career journey.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer (Kubernetes) in Cambridge
✨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 AWS and Kubernetes. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by practicing common questions and scenarios related to platform engineering. Use platforms like LeetCode or HackerRank to sharpen your coding skills and get comfortable with problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Platform Engineer (Kubernetes) in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your cloud-native infrastructure experience and any relevant projects you've worked on, especially with AWS and Kubernetes.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background makes you a great fit. Be sure to mention specific technologies and practices from the job description that you’re familiar with.
Showcase Your Projects:If you've got any personal or professional projects that demonstrate your skills in IaC, automation, or Kubernetes, don’t hesitate to include them. We love seeing practical examples of your work!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Signify Technology
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services and Kubernetes. Brush up on your knowledge of Infrastructure-as-Code tools like Terraform, as you might be asked to discuss how you've implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around automation and scalability. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how you approached problems and what the outcomes were.
✨Demonstrate Collaboration
Since this role involves working closely with SRE, Security, and Engineering teams, be ready to share examples of how you’ve successfully collaborated in the past. Highlight any experiences where you improved processes or communication within a team setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current infrastructure challenges or their approach to DevOps practices. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
