Top Software Engineer Jobs in Glasgow

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.

Build and operate a firmwide engineering metrics and analytics platform spanning data pipelines, backend services, REST APIs, and web dashboards. Define and validate metrics, perform exploratory and trend analysis, and communicate insights through effective visual narratives. Partner with engineering stakeholders to establish performance benchmarks, while implementing CI/CD, automated testing, secure coding, cloud deployment, container operations, and responsible AI-assisted development practices.

Build and maintain secure, scalable cloud infrastructure and software solutions using Golang, Kubernetes, Terraform, and cloud-native technologies. Lead technical decisions, code reviews, debugging, system design, and operational stability efforts. Collaborate across platform engineering teams, promote software development lifecycle best practices, ensure regulatory compliance, and guide responsible AI-assisted development practices. Preferred experience includes AWS certification, CKAD certification, enterprise Kubernetes fleet management, and vCluster platforms.

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.

Owns end-to-end delivery of full-stack features for JPMorganChase’s Research Platform, from conception through production. Designs and deploys cloud-native applications, collaborates with product and engineering teams, applies SDLC best practices, and diagnoses production issues. The role requires autonomous problem-solving, platform ownership, and effective collaboration in a global, regulated financial technology 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.

Designs and delivers complex enterprise UI features using React and TypeScript. Leads front-end architecture, component design, API integration, accessibility, performance optimization, automated testing, observability, and CI/CD improvements. Uses approved AI coding assistants with secure human validation. Produces architecture artifacts, analyzes application data, improves coding hygiene, and identifies opportunities to strengthen system reliability. May mentor engineers and lead technical initiatives across teams.

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.

Develops secure, scalable Python software and data engineering solutions within an agile team. Responsibilities include system design, production coding, testing, troubleshooting, architecture documentation, data visualization, and operational stability. Uses AI-assisted development tools responsibly, validates generated outputs, improves automation and coding practices, and identifies data-driven opportunities to enhance software architecture and quality.

Design, develop, test, troubleshoot, and maintain secure, scalable full-stack Java applications. Build and consume data through Kafka, APIs, bulk methods, and cloud-based distribution patterns. Produce architecture artifacts, validate AI-assisted development outputs, improve system resilience and coding quality, and collaborate with teams in an agile software development lifecycle.

Develops and maintains secure, cloud-native applications using Java, React, Spring Boot, and AWS. Responsibilities include software design, coding, testing, troubleshooting, automation, system architecture contributions, and operational stability. Uses and evaluates AI-assisted development tools responsibly for coding, testing, documentation, and productivity. Collaborates in an agile environment, analyzes system data for continuous improvement, and contributes to engineering communities and emerging technology initiatives.

Design and develop secure Java applications, React interfaces, SQL data models, and enterprise-scale risk technology for credit risk workflows. Create architecture artifacts, optimize application reliability, use AI-assisted development tools responsibly, and collaborate with product, architecture, and business teams. Participate in testing, code reviews, agile delivery, troubleshooting, and continuous improvement across complex corporate technology environments.

Design, build, and maintain full stack Java/Spring Boot microservices and Angular front-ends. Develop REST APIs, improve CI/CD and release practices, troubleshoot production issues, participate in architecture and code reviews, and apply secure, testable engineering practices. Collaborate with product, UX, and cross-functional teams and use enterprise AI-assisted development tools responsibly to accelerate delivery and improve quality.

Design, develop, and support enterprise-grade Java and Spring Boot applications, React and TypeScript interfaces, APIs, microservices, and AWS cloud-native services for regulatory reporting. Responsibilities include testing, deployment, production support, data-quality controls, observability, intelligent automation, and responsible adoption of AI technologies. The role partners with engineers, product owners, compliance specialists, and business stakeholders to build resilient, secure, scalable systems in a highly regulated financial-services environment.

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.

Build and maintain JVM-based, Spring Boot microservices for portfolio management workflows across Fixed Income and Multi-Asset. Design scalable, resilient services and REST APIs, work with SQL and cloud platforms, improve observability and operational readiness, use enterprise AI-assisted dev tools, and contribute to architecture, reporting, and continuous improvement in an agile team.

Design, build, and maintain full-stack features using React/TypeScript frontends and Java/Spring Boot backends. Produce architecture artifacts, ensure accessibility and security, integrate with data stores, analyze data for improvements, and use enterprise AI-assisted development tools while following CI/CD and agile practices.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions within an agile Corporate Finance Technology team. Produces architecture and design artifacts, analyzes large datasets, develops reporting and visualizations, and uses data insights to improve code quality and system architecture. Contributes to technical communities and supports resilient production systems while promoting an inclusive team culture.

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.

Develop and operate secure, scalable Java and Spring Boot services supporting payments technology and regulatory reporting. Responsibilities include backend API development, system design, testing, deployment, production troubleshooting, resiliency engineering, observability, code reviews, CI/CD improvements, and collaboration with cross-functional engineering teams. Preferred work includes Python or PySpark data pipelines, Databricks, Airflow, Kafka, cloud services, event-driven systems, and financial-services reporting workflows.

Build and maintain secure, scalable cloud provisioning platforms initially focused on Microsoft Azure, with future exposure to AWS and Google Cloud. Develop production code, review and debug peer code, support migrations, automate infrastructure management, and improve software delivery through AI-assisted development tools. Apply cloud-native architecture, Terraform, SDLC, Agile, DevOps, security, and reliability practices while contributing to platform design and engineering standards.

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.

Leads end-to-end engineering deliverables for a research platform, architecting scalable cloud-native solutions and translating complex business needs into technical implementations. Collaborates with product managers and engineering teams, champions development best practices, mentors junior engineers, evaluates emerging technologies, and contributes to technology strategy. Preferred experience includes financial services, financial research, agentic software development, and technology risk and controls.