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Lead GCP Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: SoftPapaya
Full Time position
Listed on 2026-10-06
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 160000 GBP Yearly GBP 120000.00 160000.00 YEAR
Job Description & How to Apply Below

GCP ENGINEER – UK/EU

Job Description

Role: GCP Engineering Lead

Location: UK / EU (Hybrid, 1-3 days a month in London

Date: 19 August 2026

Classification: Internal — role specification

Soft Papaya is a trading name of

PS Technology Sp Z o. o a LLC company registered in Poland, registration number (NIP):

Role Overview

An experienced, hands-on GCP Engineering Lead is sought to strengthen and mature the

organisation's Analytics platform, accelerate delivery of critical Finance and Actuarial capabilities,

establish robust cloud engineering practices, and provide technical leadership to a growing analytics

engineering team operating within a highly regulated environment.

Key Responsibilities Technical Leadership & Platform Ownership
  • Provide technical leadership for the organisation's strategic data and analytics products.
  • Define and drive the technical roadmap for the GCP Analytics platform from concept through to implementation.
  • Take ownership of engineering standards, architecture, resilience, security and platform scalability.
  • Review and improve existing engineering practices, deployment processes, automation frameworks and engineering tooling.
  • Guide technical decision‑making and influence platform direction across the product lifecycle.
  • Remain hands‑on in the delivery of complex engineering work rather than operating solely in an architectural or management capacity.
  • Lead solution design activities, code reviews and technical assurance across the platform.
Cloud Architecture & Engineering
  • Design, implement and operate secure, scalable, cloud‑native solutions within Google Cloud Platform.
  • Deliver production‑grade solutions that are resilient, supportable and operationally mature.
  • Ensure cloud environments are designed to support large‑scale enterprise workloads and future growth.
  • Drive technical improvements that increase platform reliability, performance, maintainability and operational readiness.
  • Support the deployment of analytical solutions within the organisation's cloud environment while adhering to enterprise security controls and governance requirements.
Dev Ops, Automation & Platform Engineering
  • Champion modern engineering and Dev Ops practices across the platform.
  • Drive adoption and maturity of CI/CD pipelines, Infrastructure as Code and automated deployment processes.
  • Implement and improve platform observability, monitoring, alerting and operational support capabilities.
  • Develop and maintain reusable automation patterns and engineering standards.
  • Leverage Terraform and Infrastructure as Code principles to ensure repeatable, secure and scalable environments.
  • Continuously assess and improve engineering efficiency through automation and standardisation.
Security, Governance & Compliance
  • Embed security‑by‑design principles within all platform components and services.
  • Ensure solutions align with organisational governance standards, security policies and regulatory obligations.
  • Balance innovation and rapid delivery with appropriate risk management and control frameworks.
  • Design secure data integration patterns incorporating authentication, authorisation and access management technologies.
  • Support delivery of solutions that are suitable for audit scrutiny and regulatory reporting requirements.
  • Operate effectively within highly governed and regulated environments.
Data & Analytics Platform Support
  • Support and enhance the GCP Analytics product which provides self‑service analytical environments to business users.
  • Contribute to platform capabilities supporting Finance and Actuarial reporting and analysis.
  • Ensure the platform enables secure, governed use of analytics and data services.
  • Support data integration capabilities across APIs, databases, data pipelines and cloud services.
  • Help deliver critical year‑end processing…
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