Top Python Jobs in Glasgow

Leads and develops a high-performing software engineering team while contributing hands-on to secure, scalable production systems. Oversees hiring, coaching, performance development, code development and review, automation, operational stability, architecture evaluations, vendor collaboration, and cross-team coordination. The role focuses on building a managed cloud infrastructure platform using cloud-native and platform engineering practices.

Writes, tests, reviews, and deploys production-quality software for application and infrastructure blueprint ecosystems. Contributes to agile design, pair programming, continuous improvement, automation, secure coding, and AI-assisted development practices. Works with AWS, Terraform, CI/CD, and software development lifecycle tools, while sharing knowledge and supporting scalable cloud platforms. Preferred experience includes AWS Lambda, Kubernetes, EKS, or ECS.

Leads the design and operation of highly available, scalable, and observable production infrastructure. Defines SLOs, error budgets, and reliability targets; drives incident response, root-cause analysis, and postmortems; develops automation and deployment tooling; champions monitoring and observability; evaluates platform technologies; and mentors engineers. The role also applies secure AI-assisted engineering practices to improve incident triage, testing, and delivery workflows.

Develops secure, scalable, and resilient software systems using Python. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, data analysis, visualization, automation, application resiliency, and maintaining production code. The role also contributes to agile engineering practices, emerging technology communities, and continuous improvements across software applications and systems.

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.

Lead Site Reliability Engineer responsible for implementing SRE frameworks across Google Cloud and Azure environments, maintaining high service-level objectives, and supporting global follow-the-sun operations. The role leads technical supervision, incident triage, troubleshooting, documentation, automation, and resiliency improvements. It requires expertise in cloud platforms, containers, observability, programming, Terraform, CI/CD, governance, cost management, and enterprise-authorized AI capabilities, including validating AI recommendations and establishing operational guardrails.

Lead Site Reliability Engineer responsible for improving reliability, scalability, observability, and resiliency across AWS platforms and applications. Designs monitoring and alerting frameworks, establishes SLIs, SLOs, and error budgets, leads major-incident response, conducts resiliency reviews, and resolves production bottlenecks. The role also drives CI/CD quality automation, containerized operations, AI-assisted incident workflows, security controls, knowledge sharing, and adoption of cloud, infrastructure-as-code, chaos engineering, and distributed tracing practices.

Lead the modernization of engineering tooling environments by migrating legacy platforms to Azure-based cloud infrastructure. Deploy and support CI/CD, artifact management, code quality, and licensing tools; develop Infrastructure as Code and automation; maintain existing environments; and provision infrastructure resources. Implement monitoring, backups, archiving, and logging best practices while supporting engineering users. Collaborate with product and delivery stakeholders, coach junior team members, and champion reliable, secure DevOps practices.

Set long-term technical strategy for backend identity systems, lead major distributed-system initiatives, ensure operational availability, establish engineering quality standards, collaborate cross-functionally, and mentor engineers. Build and launch highly available systems supporting international expansion, KYC verification, identity data management, decisioning, regulatory compliance, and global risk models.

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.

Senior software engineer responsible for hands-on, client-facing software development across the full lifecycle. Works in multidisciplinary teams to solve complex problems, design maintainable systems, advise clients, and own significant workstreams. The role includes mentoring colleagues, collaborating closely with clients, exploring pragmatic technical solutions, and learning new technologies.

Lead hands-on software development in client-facing, multidisciplinary teams. Design and build maintainable bespoke systems, solve complex problems across the full development lifecycle, advise clients, mentor colleagues, and own significant workstreams. The role is technology agnostic, valuing experience with Python, Java, C#/.NET, JavaScript, or TypeScript, along with strong communication, collaboration, pragmatism, and continuous learning.

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 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 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 and build developer-facing tools (IDE features, web tooling, test infrastructure, SDLC workflows). Own feature lifecycle, drive AI-assisted engineering adoption, implement static analysis and auto-remediation, partner with controls, and improve developer productivity and reliability at scale.

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 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.

Own governance, risk posture, and operational resiliency for wholesale credit risk analytics applications. Manage application records, permit-to-operate, release management, remediation, access controls, recovery readiness, lifecycle upgrades, and automation. Partner with engineering, SRE, cyber, data science, and business stakeholders to ensure secure, compliant, cloud-native delivery and adoption of AI-assisted development practices.

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.

Lead design and delivery of platform-level identity, security, and governance patterns for enterprise infrastructure. Build standards, tooling, and agent-ready AI integrations to ensure continuous compliance, reliability, and secure AI-enabled development across teams. Coach engineers, drive architecture and adoption, and embed controls for auditability 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 and contribute to full-stack software design, development, and production support. Drive technical evaluations, architecture, AI-assisted engineering practices, automation, and resilient, secure SDLC across teams in financial services.