Top AWS Jobs in Glasgow

Lead a software engineering team developing secure, scalable Java and React applications on AWS. Responsibilities include designing and reviewing production code, troubleshooting, improving engineering automation, adopting AI-assisted development responsibly, remediating vulnerabilities and dependency issues, and partnering with product, security, data, and platform teams. The role spans the full SDLC and emphasizes resiliency, security, testing, CI/CD, and operational stability.

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.

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 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.

Senior backend engineer responsible for designing, coding, and operating highly available distributed identity systems for Affirm’s international markets. The role includes owning quarterly goals, delivering scalable features in Kotlin and Python, collaborating across product and engineering teams, improving code and design standards, monitoring system availability, resolving production issues, mentoring engineers, and supporting technical planning and hiring.

Leads end-to-end engineering deliverables for a research platform, architecting scalable cloud-native solutions and translating complex business needs into technical implementations. Collaborates with product managers and engineering teams, champions development best practices, mentors junior engineers, evaluates emerging technologies, and contributes to technology strategy. Preferred experience includes financial services, financial research, agentic software development, and technology risk and controls.

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.

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.

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.

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.

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.

Lead development of scalable Java applications and cloud-native AWS solutions. Drive CI/CD improvements, apply responsible AI-assisted engineering practices, establish secure software standards, conduct code reviews, collaborate with business and architecture teams, and mentor engineers. The role also contributes to distributed systems, microservices, infrastructure automation, observability, security, and enterprise architectural decisions.

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.

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, 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.

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.

Architect and deliver resilient, high-performance cloud services for SailPoint’s identity platform using Golang and Angular. Design synchronous and event-driven microservices, build scalable SaaS features, improve performance and reliability, conduct architecture and code reviews, and mentor engineers. The role includes collaboration with product and architecture teams, participation in a 24x7 on-call rotation, and leadership across Policy Engine and agentic identity initiatives.

Design, build, deploy, and operate full-stack microservices for SailPoint’s Policy Engine. Develop scalable distributed systems using Golang and Angular, write unit and integration tests, debug and profile complex services, participate in on-call support, lead design reviews, mentor engineers, and contribute to technical roadmaps and architectural initiatives.