Top AWS Jobs in Glasgow

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.

Lead end-to-end frontend engineering for JPMorganChase’s Research Platform, including architecture, delivery, production support, scalable UI frameworks, testing, accessibility, compliance, and cloud-native applications. Collaborate with product, UX, and engineering teams to translate business requirements into resilient technical solutions. Mentor engineers, improve frontend SDLC practices, evaluate emerging technologies, and guide platform-wide technology strategy.

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.

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, 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.

Lead development of secure, cloud-native full-stack applications using React, TypeScript, Java, and Spring Boot. Design resilient microservices, optimize data access, support zero-downtime releases, improve automated remediation, and ensure code quality through testing and reviews. Collaborate with stakeholders to refine requirements, contribute to technical direction, and mentor engineers through communities of practice and technical presentations.

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.

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.

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.

Lead SRE responsible for driving reliability practices, designing resilient systems, conducting resiliency reviews, leading incident response, mentoring engineers, improving observability and CI/CD, and adopting validated AI-assisted reliability workflows across the SDLC.

Develop and maintain the Xodo Sign eSign platform by implementing features, improving existing functionality, and participating throughout the software development lifecycle. Responsibilities include requirements analysis, technical design, implementation, testing, maintenance, research, code reviews, collaboration, and promoting engineering best practices. The role requires modern PHP, MySQL, REST APIs, Docker, AWS, and experience securing, optimizing, benchmarking, and scaling high-availability applications.

Develop secure, scalable production software for a global KYC and risk assessment data platform. Responsibilities include system design, data-intensive application development, architecture, code review, mentoring, automation, observability, and cross-team technical leadership. The role requires expertise in Python or PySpark, cloud-native technologies, large-scale data processing, databases, APIs, microservices, orchestration, and data governance, with preferred experience in Databricks, Snowflake, Iceberg, and LLM infrastructure.

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.

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.

Set long-term technical strategy for backend identity systems, lead major distributed-system initiatives, ensure operational availability, establish engineering quality standards, collaborate cross-functionally, and mentor engineers. Build and launch highly available systems supporting international expansion, KYC verification, identity data management, decisioning, regulatory compliance, and global risk models.

Lead development of secure, low-latency front-office services for secondary loan trading. Design, implement, troubleshoot end-to-end systems, collaborate with traders and controls, adopt AI-assisted engineering practices, ensure CI/CD, resiliency, secure coding, and operational stability across the SDLC.

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.

Lead a team of SRE engineers to scale and operate AI/ML data platforms (Databricks/AWS), implement SRE best practices (SLIs/SLOs), automate remediation, improve observability and capacity planning, manage platform administration/configuration, support Data Engineering/ML teams, develop production code, and own incident response and postmortems.

Design, develop, test, and maintain secure, scalable software within an agile team. Contribute backend and frontend code, automate remediation, use CI/CD and cloud-native patterns, leverage enterprise AI-assisted coding tools, and improve client digital experiences while promoting operational stability and secure engineering practices.

Lead design, develop, and maintain scalable data pipelines and models using Python, PySpark, Databricks and AWS. Ensure data quality, security, lineage, and pipeline reliability; support migration to cloud data warehouses; mentor junior engineers; act as production support/SRE; collaborate with stakeholders and document transformations.

Lead design and delivery of scalable full-stack Java/Spring Boot and React applications for wholesale credit risk. Architect cloud-native, microservices-based systems, integrate AI/ML models, drive SDLC practices, mentor engineers, ensure performance, security, and CI/CD automation while collaborating with product and risk stakeholders.

Lead site reliability efforts by designing, building, and operating observability and telemetry pipelines (OpenTelemetry) for large-scale hybrid environments. Serve as technical lead during incidents, drive SLO/SLA/SI design, refactor legacy telemetry, implement reliability tooling, mentor teams, and advocate firmwide observability standards.

Lead an agile team to design, build, and maintain secure, high-availability enterprise software. Develop and review production code, drive architecture and vendor evaluations, promote automation/CI-CD, and foster engineering communities and innovation.

Design, develop, and maintain secure, scalable full‑stack applications. Produce architecture and design artifacts, build APIs, analyze large datasets for insights, troubleshoot production systems, use CI/CD and testing tools, and apply enterprise-authorized AI-assisted development while ensuring secure, resilient engineering practices and team collaboration.