Top AWS Jobs in Glasgow

Build and operate responsive web applications, backend microservices, and APIs delivering real-time trade intelligence. The role covers frontend and backend development, data modeling, deployment, monitoring, production support, cloud infrastructure, testing, and system reliability. The engineer will collaborate with product, design, data science, and engineering teams while using AWS, Docker, CI/CD, and AI-assisted development tools.

Design, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

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.

Lead a software engineering team through cloud-native modernization, managing hiring, coaching, sprint delivery, architecture, testing, CI/CD, observability, incident response, and operational excellence. Collaborate with Product, Design, Data, SRE, and leadership to deliver reliable microservices and improve engineering culture, platform scalability, and cross-team alignment.

Graduate software developer contributing to secure, scalable client and internal applications using .NET, ASP.NET Core, Azure, AWS, React or Angular, AI tools, and DevOps practices. Responsibilities include coding, testing, documentation, technical problem resolution, knowledge sharing, and staying current with technology. The role offers rotations across architecture, automation, and AI solution design within a collaborative consultancy environment.

Contribute to designing, developing, testing, documenting, and supporting secure, scalable client and internal software solutions. Build cloud-native applications using ASP.NET Core and C#, work with Azure and AWS services, and apply DevOps, CI/CD, infrastructure-as-code, and modern security practices. Develop front-end interfaces with React or Angular and explore applied AI tools. Produce technical documentation, investigate problems, stay current with technology, and share knowledge within the technical community.

Generalist full‑stack engineer who ships product features, collaborates remotely, improves developer experience, writes proposals and documentation, and iterates quickly in an early‑stage environment using TypeScript/Next.js and Golang.

Lead a client-embedded platform engineering team responsible for designing, operating, and evolving reliable AWS infrastructure. Build platform capabilities including federated identity, assess and prioritize platform improvements, translate requirements into auditable delivery plans, and establish foundations for future growth. The role includes team leadership, mentoring, incident management, stakeholder engagement, roadmap development, and work in regulated environments.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Build scalable Java backend systems using Spring, REST APIs, microservices, databases, messaging, Docker, and cloud platforms. Lead architecture and technical design, promote engineering excellence, mentor engineers, drive delivery, improve automation, and evaluate emerging technologies and AI capabilities. Collaborate with clients and cross-functional teams to deliver secure, resilient software with measurable business value.

Build and operate backend safety infrastructure, including automated moderation, abuse detection, AI guardrails, APIs, internal tools, and production services. Integrate machine-learning models, monitor system reliability, respond to emerging threats, and translate product, legal, and policy requirements into scalable technical solutions. Collaborate across engineering, investigations, product, legal, and safety policy teams while shaping the architecture and evolution of ElevenLabs’ safety systems.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Leads a DevOps team responsible for the reliability, security, and operational efficiency of cloud and on-premise platforms. Owns Kubernetes infrastructure, GitHub-based CI/CD, GitOps, infrastructure as code, observability, incident response, disaster recovery, and security hardening. Provides technical mentorship, leads production deployments, manages platform tooling, develops runbooks, and collaborates with Engineering, SRE, Security, and Operations on platform improvements.

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.

Build and operate high-throughput backend services for financial crime detection across WorldRemit and Sendwave. Responsibilities include developing alerting, screening, risk-rating, and agentic AI investigation workflows; integrating third-party compliance platforms; improving observability, reliability, and auditability; collaborating with compliance teams; reviewing designs and code; and participating in on-call production support. The role requires strong Java and Spring expertise, event-driven systems experience, and familiarity with cloud and infrastructure tooling.

Build end-to-end data applications, APIs, internal tools, and user interfaces using AI-assisted development. Work across Python backends, React frontends, data models, Databricks, dbt, pipelines, cloud infrastructure, testing, security, and performance. Review AI-generated code, establish guardrails, improve engineering workflows, and help shape application architecture and technical direction.

Run and expand low-latency infrastructure across global colocation data centers and AWS. Responsibilities include routing and switching, BGP peering, cross-connects, Linux hosts, containers, infrastructure as code, monitoring, alerting, capacity planning, troubleshooting, documentation, incident reviews, and launching new sites. The role includes project coordination, vendor management, occasional data-center visits, scheduled out-of-hours changes, and on-call participation.

Build, maintain, and operate Linux-based infrastructure at scale. Collaborate with development and DevOps teams to deploy applications, develop automation tooling, manage CI/CD pipelines, support in-house and third-party systems, troubleshoot production issues, monitor services with Grafana and Prometheus, document processes, and participate in on-call incident response.

Designs, delivers, supports, and improves production infrastructure for a regulated financial services business. Owns medium-sized infrastructure changes and projects, troubleshoots complex issues, produces technical documentation, and supports resilience, security, monitoring, capacity, and maintainability. The role also involves incident resolution, change governance, supplier coordination, and coaching less experienced engineers while collaborating across Technology Services.

Architect, build, and own AWS infrastructure supporting highly available SaaS products. Drive cloud migrations, automation, scalability, security, observability, and reliability improvements while partnering with developers and cross-functional teams. Participate in weekly on-call rotations, lead root cause analysis, and eliminate recurring operational issues. The role requires hands-on experience with AWS, infrastructure as code, CI/CD, configuration management, monitoring, GitOps, and multiple programming and scripting languages.

Build, scale, and operate Databricks and AWS infrastructure supporting automated, reproducible machine learning workflows. The role includes infrastructure-as-code with Terraform or Pulumi, containerized platforms using Docker and Kubernetes, system architecture, reliability and cost optimization, and cross-functional collaboration with data and ML teams. The engineer will lead complex projects, improve platform scalability and usability, document systems, and mentor peers while operating production-scale data and ML platforms.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.