Top Python Jobs in Glasgow

Leads software engineering for a public cloud infrastructure platform supporting application teams. Responsibilities include designing, developing, testing, troubleshooting, reviewing, and securing production code; improving automation, scalability, and operational stability; evaluating architectures and vendors; and promoting modern engineering practices across the organization.

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.

Build, maintain, and support scalable AWS infrastructure using Terraform, including EKS, databases, messaging, security, and monitoring services. Manage Kubernetes upgrades, production incidents, root-cause analysis, remediation, and Jenkins-based CI/CD pipelines. Improve observability with Datadog, CloudWatch, and Dynatrace, while contributing over time to Java or Kotlin Spring Boot development. Apply enterprise-approved AI tools responsibly and support reliable portfolio management systems for fixed income markets.

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.

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.

Develop secure, scalable production software for a global KYC and risk assessment data platform. Responsibilities include system design, data-intensive application development, architecture, code review, mentoring, automation, observability, and cross-team technical leadership. The role requires expertise in Python or PySpark, cloud-native technologies, large-scale data processing, databases, APIs, microservices, orchestration, and data governance, with preferred experience in Databricks, Snowflake, Iceberg, and LLM infrastructure.

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 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.

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 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.