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For Companies At a Glance
- Tasks: Join our team to build tech platforms that enhance data and AI engineering.
- Company: Storio is a leader in Data & AI, driving innovation and growth across various sectors.
- Benefits: Enjoy flexible work options, a collaborative culture, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of data-driven experiences.
- Qualifications: Extensive platform engineering experience and a passion for automation and standardisation.
- Other info: Mentorship opportunities available to help you grow your skills.
The predicted salary is between 48000 - 84000 £ per year.
About the Role
We are looking for a Senior Platform Engineer to join our newly-created Domain Platform Engineering sub-team within the Data & AI engineering domain. Your mission is to build technology platform enablers that accelerate value delivery with higher quality whilst reducing cognitive load for our customer-facing data & AI engineering teams.
About our Data & ML team
Data & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers.
We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry consumers and platforms across the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we’re expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the next phase of consolidation and growth.
Your Daily Adventure at Storio
We are looking for a Senior Platform Engineer to join our newly-created Domain Platform Engineering sub-team within the Data & AI engineering domain.
The sub-team’s goal is to define and deliver Technology platform enablers that accelerate value delivery with higher quality whilst reducing cognitive load for our customer-facing engineering teams. The primary customers of this role are the data engineering and AI engineering teams. We see an opportunity to grow our footprint to provide data platform enablers for the organisation to promote our decentralised-by-design data strategy in the medium to long term.
We’re keen on a cloud engineer with experience or aptitude in data & AI. You care about building platforms that are heavily used. You have high standards on software engineering excellence. Not only have you advocated for and uplifted automation and infrastructure as code practices, you have built adoptable, scalable platforms that improve developer experience for a range of technical teams in the data & AI domain.
How You Make Your Mark
- Build Technology enablers that move the needle on the domain’s DORA metrics (such as cycle time, # deployments, change failure rate, mean time to recovery)
- Automate: Implement automation in provisioning, deployment, and scaling to minimise manual intervention and reduce errors.
- Standardise: Establish consistent environments and processes across the data & AI domain to help teams focus on value-driving activities, reduce complexity and improve reliability.
- Improve developer experience: Provide data governance tools, data ingest as a service, application/infrastructure interfaces and DevOps tooling to allow our engineers to focus on the application layer in their respective areas of expertise (e.g. ELT data modelling and transformations, building well-governed datasets, AI model building).
- Build scalable platforms: Design and build platforms that seamlessly promote best practice engineering for diverse user needs through a self-serve consumption model.
- Champion security and compliance: Embed security best practices and compliance requirements into the platform to protect data and meet compliance standards.
- Mentor: Upskill other platform engineers, data engineers and AI engineers to deliver and build adoption on your team’s initiatives
Our Tech Stack
- Cloud Data Warehouse – Snowflake
- AWS Data Solutions – Kinesis, SNS, SQS, S3, ECS, Lambda
- Data Governance & Quality – Collate & Monte Carlo
- Infrastructure as Code – Terraform
- Data Integration & Transformation – Python, DBT, Fivetran, Airflow
- CI/CD – Github Actions / Jenkins
- Business Intelligence – Looker
Experience and Attributes we\’d like to see
- Platform Engineering Expertise
- Extensive experience in platform engineering; designing, building, and maintaining robust and scalable components used for enabling key business initiatives.
- Deep understanding of automation principles and experience implementing automation for provisioning, deployment, and scaling.
- Strong advocate for standardization, with a track record of establishing consistent environments and processes.
- Software Engineering Practices:
- Experience with software development lifecycle (SDLC) best practices, including version control (e.g., Git), peer-reviewing, unit and integration testing, and continuous integration/continuous delivery (CI/CD).
- An automation-first mindset, where manual actions are reduced to exception-cases.
- A focus on building high-quality, maintainable, and well-documented code.
- Governance, Security & Compliance:
- Experience with tools used to bring data governance principles and practices to life (such as data catalogues, data quality monitoring, data contracts).
- Experience in embedding security and compliance into platform design and implementation.
- Collaboration, Communication and Thought Leadership:
- Exceptional communication and collaboration skills.
- Evidence of collaborative, pragmatic and value-based approaches to platform build-out.
- Experience mentoring and coaching junior engineers, fostering a culture of technical excellence within the team.
Sounds exciting? Apply now with your resume and cover letter!
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Senior Platform Engineer employer: Storio group
Contact Detail:
Storio group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Platform Engineer
✨Tip Number 1
Familiarise yourself with our tech stack, especially tools like Snowflake, AWS services, and Terraform. Being able to discuss your hands-on experience or knowledge of these technologies during the interview will show that you're ready to hit the ground running.
✨Tip Number 2
Highlight any previous experience you have in building scalable platforms or automating processes. Be prepared to share specific examples of how your contributions improved developer experience or reduced cognitive load for teams.
✨Tip Number 3
Demonstrate your understanding of DORA metrics and how they relate to platform engineering. Discuss how you've previously influenced metrics like cycle time or change failure rate in your past roles.
✨Tip Number 4
Showcase your mentoring skills by discussing how you've upskilled others in your team. This is crucial as we value collaboration and knowledge sharing, so be ready to provide examples of how you've fostered a culture of technical excellence.
We think you need these skills to ace Senior Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your platform engineering expertise, particularly in automation and standardisation. Use specific examples from your past experiences that demonstrate your ability to build scalable platforms and improve developer experience.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI, and explain how your skills align with the role's requirements. Mention your experience with the tech stack listed in the job description, such as AWS, Terraform, and Python, to show you are a great fit.
Showcase Relevant Projects: Include details about relevant projects you've worked on that involved building technology enablers or automating processes. Highlight any metrics or outcomes that demonstrate your impact, such as improvements in deployment frequency or reduction in errors.
Emphasise Collaboration Skills: Since the role requires exceptional communication and collaboration skills, provide examples of how you've successfully worked with cross-functional teams. Mention any mentoring or coaching experiences to showcase your leadership abilities.
How to prepare for a job interview at Storio group
✨Showcase Your Platform Engineering Expertise
Be prepared to discuss your previous experience in platform engineering. Highlight specific projects where you designed, built, and maintained scalable components. Use metrics to demonstrate how your contributions improved efficiency or reduced errors.
✨Demonstrate Automation Knowledge
Since automation is key for this role, be ready to explain your approach to implementing automation in provisioning, deployment, and scaling. Share examples of how you've minimised manual intervention and the impact it had on project outcomes.
✨Emphasise Collaboration Skills
This position requires strong communication and collaboration skills. Prepare to share experiences where you worked closely with data and AI engineering teams. Discuss how you fostered a collaborative environment and mentored junior engineers.
✨Discuss Security and Compliance Practices
Given the importance of security and compliance in platform design, be ready to talk about your experience embedding these principles into your work. Provide examples of tools or practices you've used to ensure data governance and compliance standards are met.