Top Python Jobs in Glasgow

Leads hands-on development of backend systems for a source code intelligence platform. Responsibilities include building distributed indexing and search infrastructure, semantic and AST analysis, AI-agent interfaces, vulnerability discovery capabilities, and SDLC automation. The role sets technical direction, mentors engineers, evaluates AI technologies such as Claude, collaborates cross-functionally, and improves engineering processes and software quality.

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.

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 and maintain backend services and data pipelines for a source code intelligence platform. Integrate code analysis with CI/CD pipelines, pull-request checks, policy engines, and developer tools. Translate compliance requirements into automated code checks, write tests and documentation, monitor production components, debug cross-stack issues, and contribute to architecture discussions. Collaborate with control owners and engineering teams while supporting reliable, compliant developer workflows.

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.

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.

Develop and maintain Kubernetes Operators in Go for automating cloud resources across AWS, Azure, GCP, and on-premise platforms. Design secure, scalable software solutions, troubleshoot operator and cloud-management issues, produce architecture artifacts, analyze data for system improvements, and contribute to agile engineering practices and technical communities.

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.

Participate in a two-day hackathon to build tech solutions for nonprofits, collaborate on agile teams, own projects end-to-end, develop software skills through mentorship and training, and be considered for a 2027 Software Engineer Summer Internship.

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.

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.

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 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.

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.

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.