Top Software Engineer Jobs in Glasgow

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 software engineering excellence across teams by designing scalable frameworks, delivering secure production code, reviewing implementations, and governing agentic AI-enabled development workflows. Establishes standards for validation, auditability, security, resiliency, and responsible AI use. Advises cross-functional teams, influences senior executives, creates reusable engineering methods, and advances cloud-native application development and operational stability.

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.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software applications within an agile Platform Engineering team. Creates architecture and design artifacts, develops production code, uses AI-assisted development tools responsibly, analyzes data to improve software quality and architecture, and supports application resiliency, security, and operational stability.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

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.

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.

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 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.

Designs, develops, troubleshoots, and supports secure, scalable software and cloud infrastructure. The role leads CI/CD, Kubernetes, Docker, AWS, Terraform, Linux, database, monitoring, and automation initiatives; builds Databricks data pipelines; resolves root causes; evaluates technical solutions; and promotes AI-assisted engineering practices with secure validation, testing, and peer review.

Design and develop Python applications supporting financial control, valuation, pricing, risk analysis, and regulatory workflows. Build graph-based data pipelines, distributed compute and cloud storage integrations, testing frameworks, and consensus pricing solutions. Address security vulnerabilities and audit remediation while operating production systems with strict controls. Develop AI tooling using prompt engineering, LLM-assisted code generation, and agentic workflows.

Early Careers Software Engineer Intern contributing to software design, development, testing, troubleshooting, automation, and secure coding. The role involves collaborating with engineers and stakeholders, using approved AI development tools, validating AI-generated outputs, and delivering reliable solutions. Participants receive training, mentorship, networking opportunities, and potential consideration for a full-time role after graduation.

Software Engineer Interns design, develop, test, troubleshoot, and document secure software solutions. They collaborate with engineers, managers, and stakeholders, apply automation throughout the software development lifecycle, and use approved AI development tools for coding, testing, refactoring, and documentation while validating output quality, security, and correctness. The program includes training, mentorship, networking, and potential full-time opportunities after graduation.

Software engineering interns will design, develop, test, troubleshoot, and secure software solutions while collaborating with engineers and stakeholders. They will build technical skills through training and mentorship, apply automation and modern tooling across the software development lifecycle, and use approved AI development tools for coding, testing, refactoring, and documentation. Interns must validate AI-generated outputs, follow secure coding and responsible AI practices, communicate technical concepts clearly, and solve open-ended problems. The program is based in Glasgow and may lead to future opportunities.

Writes, tests, reviews, and deploys production-quality software for application and infrastructure blueprint ecosystems. Contributes to agile design, pair programming, continuous improvement, automation, secure coding, and AI-assisted development practices. Works with AWS, Terraform, CI/CD, and software development lifecycle tools, while sharing knowledge and supporting scalable cloud platforms. Preferred experience includes AWS Lambda, Kubernetes, EKS, or ECS.

Design, build, and operate high-performance platform services for SailPoint’s Identity Security Cloud. Develop Golang microservices, Angular and TypeScript features, automated tests, and AWS-based distributed architectures. Collaborate with data scientists on AI-driven capabilities, optimize low-latency services and databases, improve CI/CD pipelines, participate in a 24x7 on-call rotation, and contribute to technical design, mentoring, and platform strategy.

Develops secure, scalable, and resilient software systems using Python. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, data analysis, visualization, automation, application resiliency, and maintaining production code. The role also contributes to agile engineering practices, emerging technology communities, and continuous improvements across software applications and systems.

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.

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.

Lead development of secure, scalable, multi-cloud platform provisioning services across AWS, Azure, and Google Cloud. Responsibilities include writing and reviewing production code, making architectural decisions, supporting reliable platform operations, mentoring engineers, improving SDLC practices, and applying responsible AI-assisted engineering tools. The role requires expertise in software engineering, public cloud, Terraform, distributed systems, microservices, and production platforms, with opportunities to build cross-cloud abstractions and support regulated financial services environments.

Lead software engineering efforts across design, development, testing, troubleshooting, and operational stability. Build secure, reliable Go-based services and support Java Spring applications, microservices, APIs, cloud-native systems, and automation. Guide architecture evaluations, AI-assisted engineering practices, code quality, testing, observability, and adoption of emerging technologies. Collaborate with vendors, startups, and internal teams while mentoring peers and fostering an inclusive engineering culture.

Leads the design, development, testing, troubleshooting, and operation of secure Java software systems within an agile financial-services engineering team. Creates architecture artifacts, develops APIs and user interfaces, analyzes data, improves system quality, mentors engineers, and promotes responsible AI-assisted development practices. Preferred work includes cloud-native architectures, Docker, Kubernetes, Kafka, AWS, relational databases, and agile product delivery.