Top Software Engineer Jobs in Edinburgh

Designs, develops, and tests core development infrastructure, libraries, and frameworks. Establishes systems software engineering policies, standards, and procedures. Uses operating-system tools and services to diagnose and resolve issues between user-space applications and underlying operating systems. Performs root-cause analysis for service interruptions and helps restore services after resolution.

Build and maintain Samsara's Cloud Governance Platform across AWS and GCP, focusing on cloud IAM guardrails, automated compliance controls, and software supply-chain security. Implement SAST/DAST and secure CI/CD patterns, design scalable, reliable systems, translate regulatory requirements into automated controls, collaborate cross-functionally, and own components end-to-end while mentoring teammates and shaping the roadmap.

The Software Engineer will develop and maintain software for products, focusing on state management patterns and API integrations while collaborating with teams.

Build and maintain security-focused CI/CD pipelines, automation tooling, backend services, APIs, and event-driven workflows. Integrate automated source-code, dependency, repository, and container scanning into the software development lifecycle. Assess vulnerabilities, investigate false positives, support remediation, and develop security solutions for Docker, Kubernetes, OpenShift, and cloud-native environments. Collaborate with engineering teams to improve secure software development practices.

Build and deliver digital products for client organizations using React or Java. Lead client accounts across people, delivery, quality, and commercial considerations while applying hands-on engineering expertise. Collaborate with diverse teams, propose low-complexity technical solutions, debug complex issues, and contribute to engineering communities. Cloud experience with AWS or Azure and datastore experience with NoSQL technologies such as Elasticsearch are advantageous.

Lead the design, development, deployment, and maintenance of scalable cloud-native platform capabilities for Walmart Connect’s sponsored search advertising infrastructure. Build large-scale data processing systems, pipelines, distributed services, and AI/ML applications using Java, Spark, Kafka, Flink, and GCP. Provide technical leadership, conduct architecture reviews, mentor engineers, collaborate cross-functionally, and drive software quality, resilience, observability, and continuous improvement.

Build and operate DevOps infrastructure for regulated digital-asset exchange, clearinghouse, and brokerage systems. Responsibilities include improving CI/CD pipelines, managing AWS infrastructure with Terraform, running containerized services on Nomad, developing deployment tooling with health checks and rollback, monitoring systems, responding to production alerts, supporting settlement operations, and contributing to Haskell-based services. The role requires on-call participation, distributed-systems expertise, and collaboration across engineering, operations, risk, and compliance.

Build and own Supabase’s AI tooling, including agents, MCP servers, agent skills, dashboard assistants, and developer-facing AI capabilities. Establish eval-first development through benchmarks, instrumentation, quality KPIs, and regression gates. Design how documentation and product knowledge are exposed to agents, create reusable AI patterns, and collaborate across Docs, CLI, Frontend, SDK, and infrastructure teams. Improve reliability, testing, authentication, hosting, and developer experience in a fast-moving, globally distributed environment.

Designs, builds, and maintains platform software and deployment tooling across desktop, on-premise, cloud, and air-gapped environments. Responsibilities include production container images, stateful distributed-system upgrades, CI/CD pipelines, infrastructure self-service capabilities, deployment instrumentation, testing strategy, application security, and customer releases. The engineer contributes to architecture, validates specifications, and oversees the quality of AI-generated code while collaborating with engineers, architects, designers, product managers, and stakeholders.

Deploys, configures, troubleshoots, and supports software systems during field trials, demonstrations, training, and customer deployments. Diagnoses issues across software, hardware, networking, communications, sensors, and operations; writes automation scripts; manages releases, configurations, rollbacks, and documentation; supports operators and customers; and converts field experience into software and product improvements. The role is remote-based but requires regular local and international travel.

Develop cloud-based Java microservices for Motorola Solutions’ CC Responder platform. Responsibilities include full software development lifecycle activities, integrating services with other software components, testing, documentation, and supporting existing customers. The role uses agile Scrum practices and technologies including Docker, Azure, Cosmos DB, and Azure Service Bus, with preferred experience in Spring Boot, Kubernetes, Python, and BDD testing.

Build and operate the internal developer platform used by AI researchers and ML engineers. Responsibilities include secure development environments, container image builds, CI/CD tooling, training instrumentation, self-service debugging tools, automation, infrastructure as code, observability, and production troubleshooting. The role also includes establishing infrastructure best practices, collaborating with research teams, and participating in a compensated 24/7 on-call rotation.

Build and operate infrastructure for evaluating coding agents and language models. Own end-to-end features across data models, APIs, background workers, and user interfaces; run sandboxed agent trials; develop scoring and task-quality systems; integrate models and benchmarks; optimize performance, concurrency, migrations, and reliability; and review code. The role requires independent ownership of production backend systems and hands-on LLM evaluation experience.

Design and implement APIs, data pipelines, and services powering digital-asset trading experiences. Build and aggregate trading protocols, aggregators, and trade types; develop features for Phantom’s web platforms; support new blockchain integrations and complementary products; engage directly with users and developers; and contribute to team growth and hiring standards.

Design, build, and operate cloud-native AI infrastructure and platform services to support model development, training, evaluation, and inference. Implement IaC and automation, enable ML/LLM production deployments within governed enterprise environments, build observability and monitoring, collaborate with security and cross-functional partners, and support on-call/operational duties.

Software engineering intern supporting the Platform Engines group and Policy Engine for SailPoint’s cloud identity security platform. Responsibilities include developing software, procedures, and test solutions; collaborating with software and QA engineers, technical writers, and product managers; and working in Agile teams. The intern will gain exposure to cloud and software technologies including Golang, Angular, AWS, Docker, Kafka, Kubernetes, REST, SQL, and Temporal.

Owns delivery of quarterly engineering goals, leads backend engineers through ambiguous problems, collaborates across product and engineering, improves system reliability and quality, supports production operations and on-call efforts, and develops team talent. Builds highly available distributed payment systems for international markets using scalable architectures, strong testing, monitoring, and operational practices.

Build and maintain full-stack applications using Python, Next.js, and React. Develop scalable APIs, integrations, database structures, and data models; create responsive user experiences; and translate business requirements into production-ready solutions. Own projects from design through deployment and support, debug across the stack, contribute to code reviews, improve tooling and architecture, and collaborate with data scientists, engineers, stakeholders, and remote teams.

Build scalable backend services, APIs, microservices, and event-driven solutions supporting personalization, recommendations, search, and AI-driven consumer experiences. Integrate AI/ML capabilities, develop React components, implement search using Elasticsearch or OpenSearch, and work with Kafka, databases, Redis, and cloud-native architectures. Ensure systems are secure, observable, resilient, and low latency while collaborating with AI/ML, data, and engineering teams.

Build and enhance full-stack, consumer-facing web applications for AI-driven product discovery, search, recommendations, and personalization. Develop reusable React components, integrate APIs and microservices, support backend services, and work with AI/ML and data teams. Contribute to scalable, secure, observable, and reliable solutions using search platforms, cloud services, databases, caching, and event-driven architectures. Collaborate cross-functionally with engineering, product, and design teams to deliver engaging digital experiences.

Build and operate scalable backend APIs, microservices, and integration services powering personalization, recommendations, search, and AI-driven consumer experiences. Own features from design through deployment, monitoring, and support. Collaborate with AI/ML and data engineering teams, improve service performance and reliability, contribute to system design and engineering standards, and mentor junior engineers.

Build and enhance consumer-facing full-stack web applications for AI-driven product discovery, search, recommendations, and personalization. Develop React and TypeScript interfaces, integrate APIs and microservices, contribute to Java and Spring Boot backend services, and improve performance, accessibility, scalability, reliability, and observability. Collaborate with AI/ML, data, backend, product, and design teams while participating in design and code reviews and using AI-assisted engineering tools.

Designs, builds, deploys, and operates production-grade AI applications, agents, services, integrations, and workflows. Leads architecture, coding standards, testing, experimentation, reliability, observability, security, compliance, and operational readiness. Translates business requirements into scalable technical solutions, mentors engineers, coordinates across teams, and develops reusable engineering patterns. Participates in on-call support, incident response, postmortems, and continuous improvement while using AI-assisted development tools to accelerate delivery.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Build and maintain full-stack web products across frontend, backend, databases, DevOps, analytics, and third-party integrations. The engineer will implement features, fix bugs, improve infrastructure, monitoring, deployments, testing, and developer experience, and participate in on-call support. The role requires collaboration with product teams, proactive technical ownership, reliable production code, analytics-informed iteration, and fluency with AI coding tools. Senior candidates may additionally own architecture, technical strategy, and major projects.