Top Software Engineer Jobs in Glasgow

Design, develop, test, troubleshoot, and maintain secure, scalable Java systems and Spring Boot RESTful microservices within an agile financial technology team. Contribute to architecture, production stability, data analysis, application resiliency, security, CI/CD, and software development practices. Use authorized AI-assisted development tools responsibly to improve coding, testing, documentation, and delivery. Preferred experience includes front-end technologies, AWS, and NoSQL databases such as Cassandra or MongoDB.

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.

Develop and maintain secure, scalable Java applications within an agile team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, system resiliency, and operational stability. The role also involves using and validating enterprise-approved AI-assisted development tools, following secure coding practices, and collaborating across technical domains to improve critical systems.

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.

Designs, builds, tests, releases, and supports secure, scalable Java backend services and APIs. Leads microservices architecture, API design, data modeling, resiliency, observability, and technical decisions. Partners with product and engineering teams, conducts code reviews, mentors junior developers, and promotes secure AI-assisted engineering practices. Works with Spring Boot, REST APIs, MongoDB, CI/CD, and DevOps operating models.

Design, develop, test, and maintain core Java services on AWS for a portfolio analytics platform. Build scalable, resilient solutions, automation and AI-assisted tooling, and improve SDLC practices. Collaborate with engineering and product teams to support global investment operations and ensure secure, production-grade systems.

Develops and maintains secure, scalable Java and React software for Wholesale Credit Risk. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, data analysis, reporting, and improving coding practices. Uses enterprise-authorized AI-assisted development tools responsibly, validates generated code, supports application resiliency and security, and contributes within an agile software development lifecycle.

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.

Leads the design and development of scalable Java APIs, data pipelines, integrations, and high-volume data services. Establishes technical direction, architecture standards, secure coding practices, and SDLC automation across teams. Builds platform query and data access layers with strong latency, freshness, resiliency, and cost characteristics. Drives adoption of agentic AI engineering workflows, governance controls, developer tooling, and internal platform products while advising senior stakeholders and engineering teams.

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.

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.

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 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, 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.

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.

Software engineering intern supporting the Platform Engines group and Policy Engine for SailPoint’s cloud identity security platform. Responsibilities include developing software, procedures, and test solutions; collaborating with software and QA engineers, technical writers, and product managers; and working in Agile teams. The intern will gain exposure to cloud and software technologies including Golang, Angular, AWS, Docker, Kafka, Kubernetes, REST, SQL, and Temporal.

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.

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, 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.