Top Python Jobs in Glasgow

Design, develop, debug, and maintain secure, scalable production code and architectures; analyze large datasets to improve systems, support CI/CD and application resiliency, and contribute to engineering best practices and team culture.

Design, develop, and maintain secure, scalable software and data solutions on enterprise-scale finance platforms. Build production-quality Python code, Databricks/AWS data pipelines, visualizations, and audit-ready reporting. Produce architecture artifacts, troubleshoot complex issues, apply CI/CD and resiliency best practices, and responsibly integrate AI-assisted development tools and generative AI concepts to improve code quality and productivity.

Lead end-to-end and UAT test delivery for Payments Technology, supervise test teams, estimate effort, manage defects, drive automation (Cucumber/Gherkin, Python), partner with Product/Operations, and support rollout of automated testing solutions.

Design, develop, and maintain secure, high-quality full‑stack applications. Produce architecture and design artifacts, troubleshoot complex issues, apply SDLC and CI/CD practices, use AI-assisted development tools responsibly, analyze large datasets for improvements, and ensure application resiliency and operational stability.

Design, develop, and maintain scalable test automation frameworks and reference services for a high-performance payments system. Build and execute test automation (Web UI, API, database) using Python and Java, analyze large datasets, troubleshoot complex issues, collaborate globally, perform peer reviews, and define test strategies with stakeholders to ensure secure, resilient, high-quality releases.

Lead design and delivery of secure, scalable data engineering solutions for a global KYC and risk platform. Mentor engineers, define architecture and standards, drive automation, collaborate with stakeholders, and champion best practices across teams to ensure operational stability and innovation.

Lead technical design, develop and maintain secure, high-quality Java/Python/C++ applications and services. Build full-stack solutions with Spring, Hibernate, Spark, AWS and Databricks; use APIs, microservices, containers, CI/CD, and AI-assisted tools. Analyze large datasets, improve system reliability, mentor peers, and enforce secure, resilient engineering practices across the SDLC.

Lead and troubleshoot cloud infrastructure for enterprise-scale AWS workloads. Architect and implement infrastructure changes, drive projects, support 24/7 follow-the-sun operations, partner with product teams to remediate issues, and apply automation, observability, and responsible AI-assisted development practices.

Lead SRE responsible for driving reliability practices, designing resilient systems, conducting resiliency reviews, leading incident response, mentoring engineers, improving observability and CI/CD, and adopting validated AI-assisted reliability workflows across the SDLC.

The Senior Software Engineer II will enhance operational excellence by designing automated reliability systems, incident management tooling, and observability infrastructure while mentoring teams and implementing AI-driven solutions.

The Senior Software Engineer will lead the development of backend systems for payment processing, collaborating with teams, setting goals, and fostering quality and ownership in code development.

Designs, develops, and supports the Trade Execution Platform; writes secure production code; troubleshoots complex issues; produces architecture and design artifacts; leverages AI-assisted coding tools responsibly; applies SDLC, CI/CD, resiliency, and security best practices; analyzes data to drive software improvements.

Lead development of secure, low-latency front-office services for secondary loan trading. Design, implement, troubleshoot end-to-end systems, collaborate with traders and controls, adopt AI-assisted engineering practices, ensure CI/CD, resiliency, secure coding, and operational stability across the SDLC.

Lead design and implementation of Spark and Livy-based features for large-scale distributed data processing. Contribute to Apache projects, develop in Java/Scala/Python, debug production clusters, improve infrastructure, and collaborate across distributed teams to deliver enterprise-grade data engineering capabilities.

Lead a team of SRE engineers to scale and operate AI/ML data platforms (Databricks/AWS), implement SRE best practices (SLIs/SLOs), automate remediation, improve observability and capacity planning, manage platform administration/configuration, support Data Engineering/ML teams, develop production code, and own incident response and postmortems.

Design, develop, and troubleshoot secure, production-grade software. Produce architecture and design artifacts, analyze large datasets, drive improvements in code quality and system architecture, and leverage enterprise AI-assisted tools while ensuring secure and responsible AI use.

Lead development and support of a Trade Execution Platform: design, implement, and maintain secure, resilient production code. Drive adoption of enterprise AI-assisted engineering, automate remediation, improve operational stability, and collaborate with cross-functional stakeholders to deliver cloud-native, CI/CD-enabled solutions.

Lead technical design, develop secure cloud-native applications, drive adoption of enterprise-authorized AI-assisted engineering, improve automation and operational stability, evaluate vendors, and promote engineering excellence across teams.

Lead SRE responsible for designing and implementing SRE frameworks across global GCP/Azure environments, ensuring SLOs and operational excellence. Drive AI-assisted incident triage and validation, containerized deployments, monitoring, cost/governance controls, documentation, technical oversight, and DevOps automation using IaC, CI/CD, and observability tooling.

Lead hands-on design, development, testing, and troubleshooting of large-scale cloud-native, multi-tenant platforms. Drive automation, operational stability, IaC adoption, and engineering standards while mentoring engineers and evaluating architectural designs.

Lead site reliability efforts by designing, building, and operating observability and telemetry pipelines (OpenTelemetry) for large-scale hybrid environments. Serve as technical lead during incidents, drive SLO/SLA/SI design, refactor legacy telemetry, implement reliability tooling, mentor teams, and advocate firmwide observability standards.

Lead an agile team to design, build, and maintain secure, high-availability enterprise software. Develop and review production code, drive architecture and vendor evaluations, promote automation/CI-CD, and foster engineering communities and innovation.

Lead design, develop, and maintain scalable data pipelines and models using Python, PySpark, Databricks and AWS. Ensure data quality, security, lineage, and pipeline reliability; support migration to cloud data warehouses; mentor junior engineers; act as production support/SRE; collaborate with stakeholders and document transformations.

Lead technical contributor on Core Foundational Platforms delivering secure, scalable production code. Design, develop, and troubleshoot systems; drive AI-enabled engineering strategy and automation; lead vendor evaluations and communities of practice; improve operational stability and SDLC practices across teams.

Lead SRE responsible for designing and improving reliability, resiliency, and observability for large-scale hybrid systems. Lead incident response, mentor engineers, design OpenTelemetry pipelines, migrate legacy telemetry to OpenTelemetry, and optimize telemetry ingestion, processing, and export to observability backends.