Top Software Engineer Jobs in Edinburgh

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Lead and deliver full‑stack features for international direct‑to‑consumer products. Collaborate with product, design, and analytics; own operations, metrics, on‑call, code quality, and talent development while driving technical design and execution.

Lead design and build of API-first product platforms and high-scale APIs consumed by internal teams, external integrations, and AI agents. Drive API standards, reliability, observability, and scalability; develop agentic workflows and reduce systemic technical risk while mentoring senior engineers.

Design, build and maintain backend services for multiplayer games. Implement distributed systems, CI/CD, containerised microservices, databases (SQL/NoSQL), cloud infrastructure, and documentation. Collaborate on estimates, support teammates, and ensure high-quality deployments and operational standards.

Full-stack AI/ML Software Engineer to build HealthTech SaaS microservices, implement and integrate ML solutions, write high-quality code, author documentation, perform code reviews, and act as an SME on services and systems.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

As a Software Engineer at Canonical, you will design, build, and ship software, improve packaging and distribution processes, and mentor colleagues while contributing to open source projects.

The Junior Ubuntu Software Engineer will design, build, and ship software, focusing on quality and resilience, while engaging with the open source community.

Lead Mark43's AI-enabled engineering initiative by designing and orchestrating multi-agent systems that plan, write, review, test, and deploy software. Write prompts, scaffolding, and tool integrations (VCS, test runners, internal APIs), evaluate agent performance, prototype LLM-based workflows, collaborate cross-functionally, mentor teammates, and contribute to on-call rotations.

Designs, develops, and operationalizes large-scale backend, API, graph, AI, and machine learning solutions. Responsibilities include technical leadership, cloud-native architecture, roadmap development, testing, code reviews, mentoring, recruitment, stakeholder communication, and improving engineering processes. The role requires extensive Java and Spring experience, AWS cloud development, RESTful APIs, stream processing, low-latency applications, generative and agentic AI, and strong software delivery practices.

Build and productionize tooling that compiles complex Python packages such as NumPy, SciPy, and PyTorch from source. Develop conda recipes, build tools, automation, and release processes; partner with packaging and distribution teams; mentor engineers; and lead postmortems, capacity planning, and incident response. The role also shapes technical strategy, architecture, project scope, and delivery decisions for build and distribution infrastructure.

Build and maintain the control planes, automation, and observability for a global fleet of machines. Develop production-quality Go services for provisioning, health checks, upgrades, and incident remediation. Architect high-throughput, low-latency networking, improve utilization and power-to-performance, and collaborate with product and platform teams on storage-aware scheduling and developer-facing features.

Design, build, and maintain backend API and database services for a cloud PBX platform. Drive architecture, performance optimization, debugging, CI/CD and test automation, and collaborate with QA. Mentor peers and raise engineering standards while safely evolving high-load, networked systems.

Leads quality engineering for consumer-facing web and mobile experiences. Designs scalable automation frameworks, develops functional, API, integration, regression, and end-to-end test suites, and integrates quality gates into CI/CD pipelines. Validates accessibility, performance, reliability, and cross-device behavior; investigates defects, analyzes quality metrics, and drives continuous improvement. Collaborates with product and engineering teams, mentors engineers, and applies AI-assisted testing practices.

Build and operate scalable, low-latency APIs, event-driven services, integrations, and web applications supporting membership and loyalty experiences. Integrate and extend Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply distributed-systems, reliability, observability, and security practices; troubleshoot production issues; contribute to reusable engineering assets; and mentor junior engineers.

Design, build, optimize, and support scalable consumer-facing mobile applications across iOS and Android using React Native, TypeScript, and JavaScript. Develop native integrations, reusable components, secure architectures, API integrations, automated testing, CI/CD pipelines, and production monitoring. Collaborate cross-functionally, contribute to releases and Agile delivery, mentor engineers, conduct code reviews, and drive mobile engineering excellence, accessibility, performance, and reliability.

Build and maintain Clojure-based software to accelerate medical device regulatory approvals. Work cross-functionally to deliver high-quality safety assessments, ship features quickly, and support product growth. Remote-first, collaborative environment with occasional in-person weeks in London.

Responsible for designing and implementing authentication features in Go and TypeScript, enhancing Auth architecture, and collaborating with teams to improve user experience.

Join Uncountable's Implementations Engineering team to build software that integrates R&D lab instruments with their platform, working closely with customers and developing automated data pipelines.

Lead a multidisciplinary team in AI-augmented software delivery, solving technical problems and fostering stakeholder relationships while embracing adaptability and continuous learning.

Design, maintain, and scale backend services and APIs connecting Phantom Cash to blockchains. Build reliable event-driven systems with REST APIs, distributed-system patterns, retries, idempotency, and data consistency. Collaborate across teams, document decisions, mentor engineers, and improve engineering standards. The role also involves blockchain integrations, operational ownership, observability, and delivering dependable financial products in a remote crypto environment.

As a Software Engineering Intern, you will contribute to building features for user-facing products, APIs, and scalable services for machine learning. Responsibilities include crafting code, designing data pipelines, implementing tools, and enhancing technical documentation.

Build and operate stateful streaming pipelines and Go services that process usage events into accurate, near-real-time billing data. Responsibilities include ingestion, validation, enrichment, pricing, storage integration, usage APIs, billing exports, failure recovery, idempotency, exactly-once processing, reconciliation, scalability, observability, and deployment ownership.

Design and build distributed backend services for the cloud monetization platform, focusing on correctness, consistency, scalable microservices, distributed transactions, and reliable asynchronous workflows. Influence system architecture, own service implementations, and collaborate across teams to support billing, reservations, payments, and revenue flows.

Build and maintain integrations for North's agentic platform, own the end-to-end integration pipeline, create evals and tests to ensure reliability, tune tool descriptions, and help other engineers add and maintain integrations while using AI responsibly to improve performance and quality.