Top Python Jobs in Glasgow

Early-career role supporting 4G/5G RAN test activities: learn tools and processes, run and document test cases, collect logs/KPIs, use automation frameworks, assist environment setup, and collaborate with integration and network engineers while improving test scripts and reporting defects.

Early-career role supporting 4G/5G RAN testing: learn and shadow, prepare and run test cases, collect logs and KPIs, use automation frameworks and Linux tools, record results in Azure DevOps/Jira, assist environment tasks, and contribute small automation improvements.

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.

Build scalable, data-driven internal tools and services in Python; lead technical strategy to measure AI impact across tooling, data pipelines, and dashboards; own end-to-end features from requirements to observability; partner with engineering, data, and delivery teams; set squad technical direction and mentor junior engineers.

Design, build, test, and deploy smart contracts and decentralized applications. Maintain blockchain integrations and backend services, optimize for security and gas efficiency, contribute to architecture and technical strategy, conduct code reviews, mentor junior engineers, and collaborate with product, frontend, and security teams.

Design and build scalable and secure data engineering solutions using Databricks on Azure. Engage with clients to understand their needs and implement CI/CD processes, while adhering to best practices in software engineering.

The Software Engineer will build customer-facing products for healthcare, focusing on full-stack feature development and user experience, while engaging with customers and iterating on the product based on feedback.

As an AWS Data Engineer at Capco, you will design and develop data pipelines, manage CI/CD practices, collaborate with clients, and contribute to digital transformation projects in finance.

The role involves designing and building cloud-based data pipelines using AWS, mentoring junior engineers, and ensuring data architecture scalability and security for financial services clients.

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.

Lead pre-sales and delivery of application modernization engagements, engaging customers to decompose legacy RDBMS apps, design modern services on MongoDB, run technical workshops, deploy complex demo environments, and advise sales on account strategy. Travel up to 25% and collaborate with engineering and business stakeholders to drive modernization projects.

As a Senior Backend Engineer, you'll manage Kubernetes clusters, implement GitOps workflows, establish infrastructure as code practices, and enhance platform reliability and security controls.

Lead the DevOps function to enhance software delivery through Azure infrastructures, CI/CD pipelines, and team mentoring, ensuring alignment with business goals.

Lead design and delivery of scalable, secure platform infrastructure and self-service developer capabilities. Build CI/CD, IaC, container orchestration, observability, and networking solutions across clouds; drive automation, cost optimization, reliability, and team mentorship.

Own end-to-end innovation development for Matomo: design, prototype, and deliver backend (PHP/Python) and frontend (JavaScript) features, explore AI-powered insights, write tests and docs, ensure security and scalability, and collaborate remotely with senior engineers and co-founders to integrate prototypes into the core product.

Lead design, deployment, management, and optimisation of VMware VCF-based virtualization and hybrid cloud platforms. Deploy SRM and Aria/vRealize tools, troubleshoot storage/network/compute issues, implement IaC and automation (Ansible, Terraform, PowerShell/Python), document HLD/LLD, and provide technical leadership while ensuring security and high availability across enterprise environments.

Develop and maintain Athena/Quartz/SecDB components; write Python (or Java) applications; work with relational databases (Oracle/Sybase/SQL); follow version control and team-based SDLC; apply strong OOP design; leverage fixed income domain knowledge.

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

The QA Automation Lead will design automated test frameworks, ensure product quality, mentor engineers, and collaborate with development teams.

The Factory Software Engineer will implement technology solutions for data integration, collaborate with stakeholders, and ensure delivery of high-quality software solutions.

The Data Engineering Lead oversees data engineering operations, manages teams, ensures data integrity, and drives innovation in data management and governance.

Operate and administer cloud infrastructure (Google Cloud, AWS), automate tasks with Python/Scala, manage containers (Kubernetes/Docker), design/maintain IaC, troubleshoot systems and networks, perform root-cause analysis, improve resiliency, document processes, advise clients, and participate in on-call rotations.

Design, build, and scale Grafana Cloud Observability integrations and SDKs for cloud and Kubernetes environments. Implement middleware, dashboards, alerts, and documentation; drive features from ideation to production, participate in on-call rotations, collaborate with product, sales, and support, and contribute to open-source projects and upstream communities.

Design and build high-performance backend services and APIs in Go to manage datasets, model assets, metadata, and workflow orchestration. Ensure scalability, reliability, observability, and CI/CD-driven deployments. Collaborate with frontend, product, and platform teams, contribute to architecture, resolve production issues, and support AI/ML evaluation pipelines and human-in-the-loop workflows.