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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 at the forefront of tech, collaborating with talented engineers and enhancing security.
- Qualifications: 5+ years in platform or DevOps engineering, 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
Familiarise yourself with the latest trends in platform engineering, especially around cloud infrastructure and security. This will not only help you in interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the industry through platforms like LinkedIn or local meetups. Engaging with others can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Brush up on your Python skills by working on personal projects or contributing to open-source initiatives. Demonstrating your coding abilities can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common platform engineering scenarios, particularly those involving infrastructure as code and CI/CD pipelines. Being well-prepared will boost your confidence during the interview process.
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 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 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 you ensure compliance and incident readiness.
✨Discuss Security Best Practices
Given the focus on security, be ready to talk about your understanding of security best practices in both cloud and on-prem environments. Prepare to discuss how you've implemented these practices in previous roles.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in infrastructure projects and how you overcame them, particularly in relation to performance monitoring and enhancements.
