Top Python Jobs in Glasgow

Build and maintain Python tooling, services, APIs, and automation for the Athena Rates platform. Responsibilities include cloud and Linux modernization, production upgrades, capacity and performance analysis, security remediation, database hygiene, credential management, incident response, and operational guardrails. The role partners with developers, quantitative teams, and production stakeholders, coordinates cross-team modernization efforts, and uses authorized AI coding tools while maintaining secure engineering and testing standards.

Design, develop, test, deploy, and troubleshoot secure Python services, batch jobs, and data pipelines for payments regulatory reporting. Build scalable cloud solutions, create workflow designs, analyze data quality and pipeline performance, and improve reliability, observability, and automation. Collaborate with distributed agile teams, maintain enterprise code and libraries, apply secure software development practices, and validate AI-assisted development outputs.

Design, build, and operate secure, scalable data pipelines and services across AWS and cluster platforms. Develop AWS Glue workflows, Aurora PostgreSQL data stores, Databricks workloads, and Python-based applications, with some JavaScript. Apply ETL/ELT, SQL, PySpark, testing, CI/CD, security, resiliency, and operational monitoring practices. Analyze datasets, troubleshoot dependencies, use AI-assisted development tools responsibly, and collaborate with technical and business stakeholders in an agile environment.

Develop, test, troubleshoot, and maintain secure, stable, scalable software components in an agile environment. Write high-quality Java or Python code, apply software development lifecycle practices, use AI-assisted engineering tools responsibly, analyze data to resolve technical issues, and consider system dependencies, resiliency, security, and automation. Collaborate with teammates and business partners to deliver iterative product enhancements.

Lead site reliability engineering initiatives for AWS platforms, improving reliability, scalability, observability, resiliency, and service-level performance. Conduct design reviews, lead major-incident response, establish SLOs and error budgets, reduce operational toil, and mentor engineers. Evaluate and govern AI-assisted reliability workflows while ensuring security, auditability, and data-sensitivity controls. Collaborate across teams on CI/CD, testing, automation, containerization, networking, and operational readiness.

Build, upgrade, automate, and operate large-scale Cloud Foundry platforms across multiple data centers while expanding Kubernetes platform ownership. Develop infrastructure-as-code, improve pipelines and platform reliability, execute complex migrations and rebuilds, troubleshoot production systems, and maintain strong security controls. Lead technical initiatives end to end, mentor engineers, conduct code reviews, and collaborate with infrastructure providers and engineering teams.

Lead hands-on software engineering across design, development, testing, troubleshooting, and operational stability. Build secure, scalable cloud-native solutions in Python and AWS, automate recurring issues, review code, assess architectures, and promote engineering standards. Apply authorized AI-assisted development tools responsibly, validate generated outputs, and guide peers on secure usage. Preferred work includes AWS data sources, financial trading platforms, microservices, distributed computing, data modeling, and React.js or Node.js.

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.

Develop and enhance secure, scalable regulatory controls and operational risk platforms using Java or Python, AWS, Terraform, Kafka, and microservices. Design, test, troubleshoot, deploy, and maintain production applications while contributing to architecture, continuous improvement, automation, and CI/CD. Collaborate with cross-functional teams in an agile environment, identify system and data issues, and support software engineering communities and team development.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions in an enterprise environment. The role involves creating production code, developing architecture and design artifacts, analyzing large datasets, improving system reliability, and using AI-assisted development tools responsibly. The engineer collaborates across agile teams, contributes to engineering communities, and applies technologies such as Python, Databricks, PySpark, cloud platforms, and artificial intelligence.

Design, develop, and operate scalable, resilient systems using Python and SRE practices. Implement monitoring, alerting, automated recovery, SLIs, SLOs, chaos engineering, and performance testing. Troubleshoot production services, conduct root cause analysis, improve system architecture and coding quality, and collaborate with product and engineering teams on reliability, security, and operational excellence.

Lead wastewater modelling projects, mentor junior staff, build and verify models, coordinate field teams, perform health & safety risk assessments, develop technical specifications, produce reports, manage projects, liaise with clients and stakeholders, and support business development.

Leads software engineering for JPMorgan Payments Technology, developing secure, scalable Java and Python solutions. Owns public open-source repositories, releases, governance, licensing, CI, dependencies, and security quality. Builds SDKs, libraries, agent skills, and MCP integrations for external developers. Drives responsible AI-assisted engineering adoption, automation, testing, resiliency, and compliance. Evaluates architectures and vendors, supports payments integrations, and represents the firm through technical writing, public repositories, and conferences.

Leads software engineering for cloud financial management products, designing, developing, testing, securing, and troubleshooting production systems. Builds cloud-native applications and data pipelines, improves operational stability through automation, and promotes responsible AI-assisted engineering practices. Reviews code, guides technical decisions, evaluates vendors and architectures, and mentors engineers while supporting agile delivery and continuous improvement.

Leads software design, development, testing, troubleshooting, code review, and operational stability for cloud financial management technology. Develops secure production code, promotes AI-assisted engineering practices, automates recurring remediation, evaluates vendor technologies, collaborates across teams, and mentors engineers. Requires advanced programming expertise, software development lifecycle knowledge, cloud-native experience, agile practices, application resiliency, security, and financial services IT knowledge.

Leads multiple software engineering teams within corporate technology, providing technical coaching, setting delivery standards, managing stakeholders, and coordinating cross-team dependencies. Oversees end-to-end delivery of data-intensive products using Python, Spark, and Databricks. Drives responsible adoption of AI-assisted engineering and SDLC automation while ensuring secure, compliant, resilient, and high-quality software delivery in a financial services environment.

Develops secure, scalable software solutions using SQL, Python, ETL, and data transformation technologies. Designs applications, produces architecture artifacts, troubleshoots systems, and maintains high-quality production code. Analyzes large datasets to identify patterns and improve application architecture and coding practices. Uses AWS, Databricks, big data technologies, agile development, CI/CD, and enterprise-approved AI-assisted engineering tools while validating outputs for correctness, security, and performance.

Leads platform engineering across distributed systems, shared libraries, cloud execution layers, and service contracts. Sets architecture and engineering standards, improves model execution performance, governs AI-assisted development practices, and drives CI/CD, testing, security, observability, and versioning. Mentors engineers, leads code reviews, resolves complex production incidents, coordinates cross-team changes, and translates business needs into technical roadmaps.

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.

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.

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.

Lead design and development of React micro-frontends, shared UI frameworks, and scalable Python FastAPI services. Own architecture decisions for secure, resilient, observable, maintainable systems; review code; improve automation and operational stability; and guide responsible adoption of AI-assisted engineering tools. Collaborate with vendors and internal teams to evaluate architectural solutions and integrate services with AWS RDS and PostgreSQL.

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 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.

Designs and delivers enterprise network and security infrastructure from initial design through implementation. Responsibilities include low-level design, deployment, testing, migration, troubleshooting, documentation, and customer engagement. The role focuses on Cisco and Fortinet technologies, modern data-center and campus architectures, firewalls, SD-WAN, wireless, cloud environments, automation, and integration with VMware, Nutanix, and Hyper-V platforms.