Senior Platform Engineer - Data

TN United Kingdom; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior Platform Engineer to enhance its Data Science Platform Team. In this pivotal role, you will design and maintain secure, scalable infrastructure to support advanced analytics and machine learning. Your expertise in cloud engineering and infrastructure-as-code will drive efficiency and reliability, while your mentoring will foster a collaborative team culture. Join a dynamic environment where your contributions will directly impact the integration of AI/ML workloads and improve platform observability and cost efficiency. This is an exciting opportunity to shape the future of technology in a forward-thinking organization.

Benefits

Employee discount

Personal development opportunities

Employee sample sales

Access to LinkedIn learning materials

25 days paid annual leave

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Qualifications

• 5+ years in platform engineering or cloud engineering roles.
• Strong understanding of cloud-native environments and security best practices.

Responsibilities

• Design and implement infrastructure solutions using automation.
• Mentor junior team members and promote a collaborative culture.

Skills

Cloud Engineering

Platform Engineering

Infrastructure as Code

Access Management

Scripting and Programming

CI/CD Processes

Containerization

Problem Solving

Communication Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

Terraform

AWS

Docker

Kubernetes

Job description

Job Description

As a Senior Platform Engineer in the Data Science Platform Team, you will play a key role in designing, developing, and maintaining secure, scalable, and high-performance infrastructure to support advanced analytics and machine learning. You will be responsible for building and managing infrastructure using modern automation and infrastructure-as-code practices to ensure efficiency and reliability.

You will take ownership of platform security, access control, and governance initiatives, ensuring alignment with best practices and regulatory standards. Working alongside engineers and data professionals, you'll help integrate data science workloads into the wider technology ecosystem.

What you will be doing:

• Own and evolve data and ML platform infrastructure to meet performance, security, and scalability requirements.
• Design and implement infrastructure solutions using automation and infrastructure-as-code practices.
• Diagnose and resolve issues affecting platform performance and reliability.
• Drive the adoption of modern engineering practices and tools, aligned with company standards and strategy.
• Mentor and support junior team members, promoting a collaborative and inclusive team culture.
• Work closely with engineering and data teams to support seamless integration of AI/ML workloads.
• Improve platform observability, monitoring, and cost efficiency.
• Promote and implement strong security and compliance practices across the platform.
• Contribute to shared initiatives, documentation, and engineering excellence across the wider tech organisation.

Qualifications

• 5+ years of experience in platform engineering, cloud engineering, or data infrastructure roles.
• Deep understanding of cloud platforms and experience working in cloud-native environments.
• Experience in access management, identity governance, and security best practices.
• Familiarity with networking concepts, secure configurations, and enterprise-scale deployments.
• Proficiency in infrastructure-as-code and automation tools.
• Experience configuring and supporting data platforms and job orchestration.
• Strong scripting and programming skills for automation and platform development.
• Familiarity with CI/CD processes and deployment automation.
• Knowledge of containerisation and orchestration technologies.
• Strong problem-solving skills and a proactive approach to reliability and optimisation.
• Excellent communication skills and experience mentoring others and working cross-functionally.

Additional Information

BENEFITS

• Employee discount (hello ASOS discount!)
• ASOS Develops (personal development opportunities across the business)
• Employee sample sales
• Access to a huge range of LinkedIn learning materials
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits

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