Top AWS Jobs in Glasgow

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.

Develop and maintain scalable ServiceNow software applications, integrations, scripts, and custom platform configurations. Troubleshoot defects, support customer implementations, participate in requirements reviews and Scrum ceremonies, and manage multiple customer projects. The role involves REST and SOAP integrations, ServiceNow development, and exposure to cloud platforms, DevOps tools, ITOM, Discovery, Service Mapping, and AIOps.

Lead development of secure, scalable Java microservices for wealth management trading systems. Design APIs and event-driven architectures, work with Kafka, IBM MQ, AWS, Kubernetes, and caching technologies, and promote domain-driven design, testing, monitoring, and resilience. Lead code reviews and architectural discussions while coaching teams on secure, responsible AI-assisted engineering practices and validating AI-generated outputs for quality, performance, and security.

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.

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.

Design, develop, and operate scalable, resilient systems using Python and SRE practices. Implement monitoring, alerting, automated recovery, SLIs, SLOs, chaos engineering, and performance testing. Troubleshoot production services, conduct root cause analysis, improve system architecture and coding quality, and collaborate with product and engineering teams on reliability, security, and operational excellence.

Leads the design and development of scalable Java applications and cloud-native AWS solutions. Drives CI/CD adoption, AI-assisted engineering practices, software quality, and secure development standards. Collaborates with product, architecture, and business teams to deliver enterprise platforms, conducts code reviews, establishes engineering best practices, and mentors junior engineers. The role also contributes to distributed systems, microservices, infrastructure automation, observability, and technical decision-making across a large enterprise.

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.

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.

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.

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.

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.

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.

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.

Leads platform engineering across distributed systems, shared libraries, cloud execution layers, and service contracts. Sets architecture and engineering standards, improves model execution performance, governs AI-assisted development practices, and drives CI/CD, testing, security, observability, and versioning. Mentors engineers, leads code reviews, resolves complex production incidents, coordinates cross-team changes, and translates business needs into technical roadmaps.

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.

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.

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.

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.

Leads software engineering efforts across design, development, testing, troubleshooting, and operational stability. Develops secure, scalable Java and cloud-native solutions, reviews code, promotes responsible AI-assisted engineering practices, automates recurring remediation, and evaluates architectural solutions with vendors and internal teams. The role also supports microservices, event-driven systems, big data, streaming applications, and public cloud platforms, particularly AWS, within a financial services environment.

Owns the end-to-end operational integrity of an enterprise cloud application, including production risk, controls, audits, resiliency, disaster recovery, documentation, and remediation. Leads architecture, design, code reviews, automation, troubleshooting, release safety, and secure cloud-native operations. Partners across engineering, risk, operations, platforms, and vendors, while guiding responsible adoption of AI-assisted software development practices.

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.