Top Backend Jobs in Edinburgh

Build scalable backend systems, data pipelines, APIs, and services for Zscaler’s Threat Intelligence team. Process and index large volumes of threat data, improve performance and engineering practices, and collaborate with malware reverse engineering teams to enhance threat detection. The role requires Python, PostgreSQL, Redis, distributed systems, REST APIs, SQL optimization, and backend database expertise, with preferred experience in AI/LLM workflows, malware automation, Django, Kubernetes, and search engines.

Build and maintain secure, performant backend services for GitLab’s Change Record team using Ruby on Rails and GraphQL. Develop APIs, data models, business logic, tests, and user-facing workflows while improving reliability through performance tuning, caching, observability, rate limiting, and resiliency. Collaborate across teams, support production systems through Tier 2 on-call, troubleshoot incidents, and use AI coding agents responsibly.

Leads technical direction and hands-on execution for major products and systems. Designs scalable backend, frontend, API, database, and infrastructure solutions; writes code; drives architecture decisions; solves production issues; improves engineering quality, reliability, security, testing, and observability; and mentors engineers across teams.

Lead and manage a cross-functional engineering team to deliver and scale customer-facing products. Own architecture, delivery, reliability, observability, and production outcomes. Coach engineers, run reviews, improve processes and tooling, and drive technical decisions across frontend, backend, APIs, databases, integrations, and infrastructure.

Lead and manage a cross-functional engineering team to deliver reliable, scalable wealth-management products. Drive architecture, code quality, observability, incident response, and engineering culture while coaching engineers and improving processes to increase delivery speed and reliability.

Own technical direction and execution for major products and systems. Design scalable and reliable architectures, write production code, lead architecture decisions, solve complex engineering problems, and drive initiatives from concept through production. Improve engineering quality across testing, security, observability, and development practices while mentoring engineers and coordinating work across teams and products.

Lead and manage a cross-functional engineering team to design, build, and operate production systems. Own technical architecture, delivery, reliability, and processes. Coach engineers, run reviews, resolve incidents, and drive product outcomes while balancing speed, scalability, and quality.

Build and own event-driven microservices for M-KOPA Mobility’s electric-mobility financing platform. Responsibilities include designing C#/.NET backend solutions, managing production systems, applying DevOps and infrastructure-as-code practices, implementing automated testing and continuous delivery, and using observability tools such as Prometheus and Grafana. The role involves collaborating across global teams, contributing to architecture decisions, monitoring services, and leveraging AI coding tools such as Claude Code.

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.

Design, implement, and evolve complex backend capabilities for GitLab’s global DevSecOps platform. Drive architecture and technical direction, improve quality, security, availability, performance, and operational readiness, and participate in incident response. Mentor engineers, lead through technical influence, collaborate asynchronously across product and infrastructure teams, and integrate reliable agentic AI systems into production engineering workflows.

Owns global technical recruiting for AI/ML, software engineering, infrastructure, web, and mobile teams. Responsibilities include developing recruiting strategy, leading critical searches, partnering with engineering leadership, setting hiring standards, building and coaching a technical recruiting team, improving recruiting processes through data and market intelligence, and expanding talent networks across the US, Europe, and Asia.

Design, implement, review, and validate production-grade Rust backend systems for AI training projects. Responsibilities include API development, persistence, asynchronous and concurrent processing, performance optimization, reliability testing, debugging, architecture assessment, and creating reproducible workspaces and containerized test environments. The role requires clear technical documentation, evaluation of edge cases and failure scenarios, and consistent delivery of approximately 15 hours of weekly project work.

Build and operate scalable AWS cloud infrastructure centered on Amazon EKS, networking, infrastructure-as-code, and self-hosted services. Automate shard deployments, implement Terraform guardrails and secure ingress, support multi-region growth, and meet reliability, disaster recovery, compliance, and security requirements. Partner cross-functionally, troubleshoot application and infrastructure issues, participate in on-call and incident response, and use AI tools to improve engineering workflows.

Lead hands-on backend engineering using Java, Spring Boot, REST APIs, and Kafka-based services. Own technical direction, delivery, architecture, testing, integrations, and DevOps practices while mentoring engineers and championing AI-assisted development. Manage workstream risks, timelines, bottlenecks, client communication, estimation, and delivery planning in a fast-paced consultancy environment.

Build and own scalable backend microservices for call treatment orchestration, brand data, analytics, and billing. Design event-driven and hexagonal architecture solutions using Java and Spring Boot, relational databases, caching, and event-streaming platforms. Contribute to technical decisions, production support, reliability improvements, troubleshooting, and distributed team collaboration.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and customer accounts. Integrate external services, optimize databases and performance, implement security and access controls, write tested code, resolve production issues, and contribute to architecture, code reviews, deployment, and CI/CD.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

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.

Design, build, and operate high-throughput backend services, APIs, real-time streaming applications, and data pipelines. The role includes using Kafka, Flink, and cloud infrastructure; monitoring system health and data freshness; investigating incidents; improving observability, testing, CI/CD, and maintainability; and collaborating with product and platform teams to deliver scalable maritime intelligence solutions.

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.

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.

Build and operate core platform systems for users, workspaces, permissions, APIs, authentication, and resource management. Deliver full-stack features with a backend focus, including admin and settings interfaces. Scope work within large existing systems, plan migrations, manage safe rollouts, debug production issues, and collaborate across product and engineering teams. Candidates need strong Python and backend development expertise, software and system design knowledge, testing and security fundamentals, and the ability to navigate ambiguity.

Build and maintain payments infrastructure, including usage tracking, pricing, billing, payment providers, and stream-processing services. Collaborate with Finance, Tax, Growth, Sales, and engineering teams to support compliance, reporting, experiments, and customer payments. Plan migrations, debug complex production billing issues, and safely evolve live systems handling money. Requires Python expertise, backend development experience, software and system design knowledge, testing and security fundamentals, and strong problem-solving ability.

Own an AI-agent-driven backend engineering lifecycle for beqom’s multi-tenant data platform. Define agent-executable specifications, build agent orchestration and MCP infrastructure, and create behavioral verification, evaluation, sandboxing, and governance systems. Direct AI agents delivering ingestion, schema, snapshots, calculated fields, and export services. Assess generated solutions for scalability, performance, reliability, and security; diagnose production issues; and collaborate with product, analytics, support, and engineering teams.

Build and operate backend services and streaming data pipelines that ingest sensor, rail, and waterway data into Kpler’s commodities intelligence platform. Responsibilities include developing Python and FastAPI services, maintaining Kafka and Airflow pipelines, validating time-series data, deploying cloud services, monitoring systems, improving CI/CD, supporting customer-facing applications, and participating in on-call operations.