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Senior Platform Engineer - Data

ASOS.com

London

On-site

GBP 70,000 - 90,000

Full time

Yesterday

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Job summary

A leading online fashion retailer seeks a Senior Platform Engineer to design and maintain infrastructure for data science. This role involves ensuring platform security, scalability, and reliability while mentoring junior engineers. Join a collaborative team focused on integrating AI/ML workloads and promoting best practices.

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 of experience in platform engineering or data infrastructure roles.
Strong scripting and programming skills for automation.

Responsibilities

Own and evolve data and ML platform infrastructure.
Design and implement infrastructure solutions using automation.
Drive the adoption of modern engineering practices.

Skills

Problem Solving

Communication

Tools

Infrastructure-as-Code

CI/CD

Containerisation

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Company Description

We’re ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.

But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.

Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.

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.

BeneFITS’

Additional Information

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

Why take our word for it? Search #InsideASOS on our socials to see what life at ASOS is like.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Retail

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London, England, United Kingdom 5 days ago

Member of Technical Staff, AI Post-Training