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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 infrastructure 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 48000 - 84000 £ 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
Familiarise yourself with the latest trends in platform engineering, especially around cloud infrastructure and security. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations for the role.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented infrastructure solutions. Be ready to explain your thought process, the challenges faced, and how you ensured security and scalability.
✨Tip Number 4
Brush up on your Python skills, particularly in writing automation scripts. Consider working on a small project that showcases your ability to build tools, as this could be a great talking point during your interview.
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. 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.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any spelling or grammatical errors, and ensure that your writing is clear and professional. A polished application reflects your attention to detail.
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 projects you've worked on. Highlight specific examples where you've designed or maintained infrastructure, focusing on security and scalability.
✨Demonstrate Problem-Solving Abilities
Expect technical questions that assess your problem-solving skills. Think of scenarios where you've had to troubleshoot issues in infrastructure or security, and be ready to explain your thought process.
✨Emphasise Collaboration
Since the role involves working closely with engineering and security teams, share examples of how you've successfully collaborated in past projects. Highlight your communication skills and ability to work in a team.
✨Prepare for Questions on Best Practices
Familiarise yourself with security best practices and infrastructure as code principles. Be ready to discuss how you ensure compliance and observability in your projects, as this will be crucial for the role.
