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For Companies At a Glance
- Tasks: Design, build, and maintain secure and scalable platform infrastructure.
- Company: Join a dynamic team in London focused on innovative technology solutions.
- Benefits: Enjoy hybrid work options and opportunities for professional growth.
- Why this job: Be part of impactful projects at the intersection of engineering and security.
- Qualifications: 5+ years in platform or DevOps engineering with strong Python skills required.
- Other info: Experience with AI/ML infrastructure is a plus!
The predicted salary is between 43200 - 72000 £ per year.
Location: London (Hybrid)
Employment Type: Full-time
About the role:
My client are seeking an experienced platform engineer to join their team in London. This role is ideal for someone who thrives at the intersection of infrastructure, security, and software engineering. You’ll be instrumental in designing, building, and maintaining our platform infrastructure, with a focus on secure, scalable, and reliable systems.
Key responsibilities:
- Lead infrastructure projects from start to finish, delivering secure, scalable, and high-performance systems
- Design, build, and maintain cloud and on-premises infrastructure with security and reliability in mind
- Write high-quality internal tools and automation scripts using Python
- Collaborate with engineering and security teams to ensure compliance, observability, and incident readiness
- Contribute to infrastructure as code and CI/CD pipeline improvements
- Monitor system health and performance, proposing and implementing enhancements
Requirements:
- 5+ years of experience in platform, infrastructure, or DevOps engineering roles
- Proven track record of leading infrastructure or security projects end to end
- Strong knowledge coding in Python and comfortable using it
- Strong background in infrastructure architecture and operations
- Deep understanding of security best practices across cloud and on-prem environments
- Proficiency in Python, with experience building tools or automation scripts
- Familiarity with AWS and its tools
- Excellent communication skills and a collaborative mindset
Nice to have:
- Experience with AI/ML infrastructure or supporting data science workflows
- Exposure to MLOps tooling or machine learning model deployment
Platform Engineer employer: Signify Technology
Contact Detail:
Signify Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer
✨Tip Number 1
Network with professionals in the platform engineering field. Attend meetups, webinars, or conferences related to infrastructure and security. Engaging with others can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your Python skills through personal projects or contributions to open-source. Having tangible examples of your coding abilities can set you apart during interviews and discussions with our team.
✨Tip Number 3
Familiarise yourself with AWS tools and services. Understanding how to leverage these platforms effectively will demonstrate your readiness for the role and your commitment to staying current in the field.
✨Tip Number 4
Prepare to discuss your experience with infrastructure as code and CI/CD pipelines. Be ready to share specific examples of how you've implemented these practices in past roles, as this is crucial for the position.
We think you need these skills to ace Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in platform, infrastructure, or DevOps engineering roles. Emphasise your skills in Python and any relevant projects you've led, particularly those involving security and scalability.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Platform Engineer. Mention specific experiences that demonstrate your ability to design and maintain secure and reliable systems, and how you can contribute to the company's goals.
Showcase Relevant Projects: Include examples of past projects where you led infrastructure initiatives or developed automation scripts. Highlight your familiarity with AWS and any experience with AI/ML infrastructure, as these are valuable assets for the role.
Highlight Soft Skills: Don't forget to mention your communication skills and collaborative mindset. These are crucial for working effectively with engineering and security teams, so provide examples of how you've successfully collaborated in previous roles.
How to prepare for a job interview at Signify Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant infrastructure projects you've led. Highlight specific examples where you designed or maintained secure and scalable systems, as this aligns closely with the role's requirements.
✨Demonstrate Collaboration
Since the role involves working with engineering and security teams, share examples of how you've successfully collaborated in past projects. Emphasise your communication skills and how they contributed to project success.
✨Understand Security Best Practices
Brush up on security best practices, especially in cloud environments. Be ready to discuss how you've implemented these practices in previous roles, as this is a key focus for the position.
✨Prepare Questions About the Company
Research the company and prepare insightful questions about their platform infrastructure and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
