Top AWS Jobs in Glasgow

Develops secure, scalable software solutions using SQL, Python, ETL, AWS, Databricks, and big data technologies. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, visualization, and operational stability. The role also applies AI-assisted development tools responsibly, validates generated outputs, supports CI/CD practices, and identifies data-driven improvements to software quality and system architecture.

Build and maintain Python tooling, services, APIs, and automation for the Athena Rates platform. Responsibilities include cloud and Linux modernization, production upgrades, capacity and performance analysis, security remediation, database hygiene, credential management, incident response, and operational guardrails. The role partners with developers, quantitative teams, and production stakeholders, coordinates cross-team modernization efforts, and uses authorized AI coding tools while maintaining secure engineering and testing standards.

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.

Design, develop, and launch scalable backend systems and APIs for consumer payments. Break projects into deliverable phases, collaborate with product and engineering partners, monitor system reliability, support on-call operations, review code, debug systems, and contribute to technical decisions and team development.

Owns delivery of quarterly engineering goals, leads backend engineers through ambiguous problems, collaborates across product and engineering, improves system reliability and quality, supports production operations and on-call efforts, and develops team talent. Builds highly available distributed payment systems for international markets using scalable architectures, strong testing, monitoring, and operational practices.

Lead site reliability engineering initiatives for AWS platforms, improving reliability, scalability, observability, resiliency, and service-level performance. Conduct design reviews, lead major-incident response, establish SLOs and error budgets, reduce operational toil, and mentor engineers. Evaluate and govern AI-assisted reliability workflows while ensuring security, auditability, and data-sensitivity controls. Collaborate across teams on CI/CD, testing, automation, containerization, networking, and operational readiness.

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, 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.

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 implement modern quality engineering strategies, automated testing, and software delivery improvements for client projects. Work hands-on with object-oriented programming, cloud-based testing, and GenAI while collaborating with diverse teams. Lead and support other engineers, adapt to different technology stacks, and contribute to internal Quality Engineering communities.

Build and deliver digital products for client organizations using React or Java. Lead client accounts across people, delivery, quality, and commercial considerations while applying hands-on engineering expertise. Collaborate with diverse teams, propose low-complexity technical solutions, debug complex issues, and contribute to engineering communities. Cloud experience with AWS or Azure and datastore experience with NoSQL technologies such as Elasticsearch are advantageous.

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.

Design, develop, integrate, test, and support scalable full-stack applications across user interfaces, backend services, databases, cloud platforms, and IoT systems. Responsibilities include building frontend and backend software, designing APIs and database queries, developing concurrent and distributed systems, integrating external systems, managing CI/CD and cloud infrastructure, monitoring production environments, troubleshooting networks, and writing tests and documentation.

Design, develop, secure, test, and operate scalable cloud-native software systems integrating IoT and edge devices. Responsibilities include cloud architecture, device-to-cloud communication, distributed and concurrent systems, databases, networking, secure protocols, data pipelines, infrastructure as code, production monitoring, and system qualification. The role requires strong computer science fundamentals, backend or systems programming, Linux development, CI/CD, containers, orchestration, and distributed systems experience.

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.

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.

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.