Senior Cloud Engineer / Cloud Engineer / Platform Engineer

Job TitleSenior Cloud Platform Engineer (GCP)Job DescriptionAbout IG GroupIG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn't pivot to innovation; What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that's rare in established businesses. The bar is high – bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Your Team You'll be joining a small, close-knit Data platform engineering team of three to five engineers. We're a team that takes quality seriously, looks out for each other, and gets things done without a lot of ceremony. Everyone brings something different across cloud infrastructure, data platform, and developer tooling and we rely on that range to solve problems well. We work across time zones with colleagues in Bengaluru and Kraków, so clear communication and good async habits matter. Your experience with GCP means the team spends less time firefighting and more time building. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You're the person who understands what they need, builds the right foundations, and makes sure the platform is something people trust rather than work around. You help the team get smarter. Whether it's sharing a better way to use AI tooling, writing a clearer runbook, or spotting a pattern we've been missing - you make the people around you better at their jobs. This isn't a team with heavy process or close supervision. You speak the business's language. You'll spend real time with stakeholders across finance, compliance, BI and data science, understanding what they're trying to achieve, framing the trade-offs in language they can act on, and translating that back into platform decisions. Design and architect scalable cloud infrastructure, developing IaC solutions using Terraform and standardisation initiatives Build, optimise, and maintain CI/CD pipelines for infrastructure deployment, supporting DevOps and DevSecOps best practices across the organisation Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles Lead incident response and root cause analysis for platform issues, and drive improvements to reduce recurrence Participate in an on-call rota as the platform's operational coverage matures. Contribute to the development and maintenance of our IDP - adding catalog entries, improving scaffolder templates, and keeping TechDocs accurate Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation Share effective AI patterns and prompting approaches with the team, helping build a culture of thoughtful, safe AI-augmented engineering What you'll need for this role You'll need solid experience in: Cloud Infrastructure & Experience: 4+ years in cloud infrastructure engineering with hands-on experience designing and administering complex platforms in GCP including working knowledge of networking (VPC, VPCSC, Direct Connect) and IaaS/PaaS architectural patterns. Exp Designing and operating Google Cloud Platform - BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub - at production scale Infrastructure-as-Code using Terraform, with real hands-on experience of multi-environment configuration management across cloud providers GitLab CI/CD - building and maintaining pipelines, runners, and merge request workflows Cloud IAM and access control design, with a clear understanding of least-privilege and security best practices Working collaboratively with data or ML engineering teams as a platform provider - not just building infrastructure, but making it usable A consultative approach. It would be a bonus (but not essential) if you have: AWS exposure Backstage experience - software catalog configuration, scaffolder templates, or plugin development Familiarity with data platform concepts - medallion architecture, lakehouse patterns, or orchestration tools such as Airflow or dbt Exposure managing Databricks Practical experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor, or similar) in a professional engineering context Experience working in regulated financial services environments The Perks Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work. Competitive salaryFlexible Benefits Package on top of your salary (12%)Private medical cover for you and your familyLife insuranceContribution to gym memberships25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in totalThe option to buy or sell holiday days. Unlimited access to the LinkedIn Learning PlatformA comprehensive global and local onboarding processEmployee-led LGBTQ+, Women's, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive cultureOption to participate and create ESG initiatives based on IG Brighter Future FundEnhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parentsLearn more about the Perks here! Number of openings1SummaryLocation: City of London - United KingdomType: Full time