Top Software Engineer Jobs in Edinburgh

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.

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.

The Software Engineer will design, develop, and support the MEMX Trading system software, focusing on production support during US evening hours.

Build and evolve Elastic’s MCP server, agent skills platform, developer tooling, CLI enhancements, and third-party AI ecosystem integrations. Develop and support libraries and integrations primarily in Go, with Rust and other languages. Establish evaluation-based correctness standards, collaborate with product teams and external partners, contribute product thinking, and improve developer experience across a globally distributed team.

Design, implement, and maintain scalable backend systems supporting Alpaca’s financial ledger and brokerage infrastructure. Own high-visibility features from design through deployment, collaborate with finance, operations, product, and engineering stakeholders, and improve system health. Build performant, reliable, maintainable services using modern distributed systems technologies while ensuring the ledger remains a correct source of truth for account transactions, reporting, and compliance.

Designs, develops, integrates, tests, and maintains production embedded Linux software for vehicle systems. Responsibilities include modern C/C++ and Qt/QML development, Yocto platform maintenance, Python automation, CI/CD, automated testing, debugging across hardware and software boundaries, release management, architecture, documentation, and production support. The role also provides technical leadership and mentorship while collaborating with multidisciplinary engineering, manufacturing, cybersecurity, and supplier teams.

Architects and develops enterprise Change Data Capture and data integration software across mainframe and distributed platforms. Processes transaction logs, analyzes database internals and binary formats, reverse engineers legacy systems, and resolves performance, reliability, compatibility, and data-integrity issues. Provides technical leadership, mentors engineers, collaborates on customer escalations, and supports critical production incidents and releases.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.

Build and maintain scalable, reliable agentic AI systems for biomedical research, integrating LLMs, tool-calling, and data platforms. Drive technical decisions, optimize analytical workflows, deploy agents on the data platform, mentor teammates, and participate in on-call rotation to ensure performance, security, and continuous improvement.

Design, build, and operate resilient Java and Spring Boot backend services for inventory availability, order promising, and fulfillment. Develop event-driven Kafka integrations, concurrency and consistency controls, caching strategies, observability, and graceful degradation mechanisms. Own services from design through production, optimize performance and reliability, integrate with commerce and enterprise platforms, conduct code reviews, document architecture decisions, and mentor junior engineers.

Own quality strategy, automated testing, and test execution for omnichannel commerce capabilities. Build scalable API, integration, contract, event-driven, and end-to-end test frameworks; manage complex test data; integrate quality gates and regression testing into CI/CD pipelines; define quality metrics; validate order, inventory, fulfillment, returns, and post-purchase workflows; and mentor engineers on quality practices and automation.

Own technical direction and hands-on execution for major products and systems. Design scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; write code; lead architecture decisions; solve production problems; improve testing, security, observability, and development practices; and mentor engineers across teams.

Lead technical direction and hands-on execution for major products, systems, and engineering initiatives. Design scalable and reliable backend, frontend, API, database, and infrastructure solutions; write code; make architecture trade-offs; solve production problems; improve testing, security, observability, and development practices; and mentor engineers across teams.

Own technical direction and hands-on execution for major products and systems. Design scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; write code; lead architecture decisions; solve production issues; improve engineering quality, testing, security, and observability; and mentor engineers across teams.

Build and scale production inference infrastructure and customer-facing APIs for AssemblyAI’s voice AI models. Partner with researchers and applied engineers to productionize model capabilities, transforming prototypes into reliable, low-latency, well-documented products. Contribute across backend services, SDKs, inference systems, and internal tooling while incorporating customer feedback into product and research direction.

Develop and maintain the backend ecosystem for the Alta Video Management System, focusing on cloud-based distributed systems and coding quality.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Lead the architecture and hands-on development of reliable AI-powered email applications across backend, mobile, and desktop platforms. Design orchestration, state management, tool use, retries, fallbacks, and failure handling for long-running workflows. Build production APIs, improve observability and reliability, make trade-offs involving latency, cost, security, and user experience, and lead a small senior engineering team through technical reviews, mentorship, and execution.

Leads application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Designs reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Builds APIs connecting AI capabilities to product experiences, makes architectural trade-offs, establishes observability and operational excellence, and leads a small senior engineering team through mentorship, design reviews, and code reviews. Partners with ML leadership to deliver scalable, reliable, and maintainable production systems.