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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 understand the role better but also give you talking points during interviews.
✨Tip Number 2
Network with current or former employees of the company on platforms like LinkedIn. They can provide insights into the company culture and the specific challenges the team is facing, which can be invaluable during your interview.
✨Tip Number 3
Brush up on your Python skills by working on personal projects or contributing to open-source. Being able to showcase your coding abilities and problem-solving skills can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with CI/CD pipelines and infrastructure as code. Be ready to share specific examples of how you've implemented these practices in previous roles, as this is a key aspect of the job.
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 this position.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for any spelling or grammatical errors, and ensure that your information is clear and concise. 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 scenario-based questions that assess your ability to troubleshoot and enhance system performance. Think of past challenges you've faced and how you resolved them, particularly in relation to infrastructure and security.
✨Emphasise Collaboration
Since the role involves working closely with engineering and security teams, be ready to discuss your collaborative experiences. Share examples of how you've successfully worked with others to achieve project goals.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in cloud infrastructure, security best practices, and MLOps tooling. Showing that you're knowledgeable about current developments can set you apart from other candidates.
