Top Backend Jobs in Dublin

Develop and maintain backend database infrastructure powering Squarespace’s platform. Build automation and tooling in GCP, improve performance and scalability across MongoDB, CockroachDB, and Kafka, and design and provision infrastructure for new product capabilities. Collaborate across engineering teams, lead complex technical projects, participate in design reviews, influence architecture, and mentor junior engineers.

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 through testing, security, observability, and development practices while mentoring engineers across teams. The role is remote and requires effective collaboration across countries, time zones, and distributed teams.

Build and maintain scalable backend systems and APIs supporting real-time sports betting experiences for millions of customers. Responsibilities include full lifecycle ownership, production issue resolution, performance optimization, automated testing, reliability improvements, and development in cloud environments. The role also involves using AI coding tools and agents, collaborating with product and engineering teams, mentoring peers, and driving software quality in a 24/7 environment.

Develop and maintain scalable backend services for a cloud-native securities-based lending platform using Python, FastAPI, Java, and Spring Boot. Design REST APIs and microservices, deploy resilient AWS solutions, maintain CI/CD pipelines and automated tests, troubleshoot production issues, participate in architecture and Agile ceremonies, conduct code reviews, and mentor junior engineers.

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 maintain C#/.NET backend services and microservices supporting accounts, authentication, wallets, and related domain capabilities. Develop event-driven integrations, optimize database performance, improve observability, manage Kubernetes and GitOps deployments, collaborate with DevOps, participate in on-call support, troubleshoot production issues, reduce technical debt, and conduct code reviews. The role also includes task estimation, QA collaboration, and writing unit and integration tests.

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 architectural work for AI-native backend engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agents, and AI code-review optimization. Ship backend code and AI-first product features while setting technical direction and collaborating with product and design teams. Apply strong distributed-systems, event-driven architecture, and production LLM expertise to accelerate validated learning.

Own the architectural layer for AI-native product engineering, including agent-ready code standards, context infrastructure, self-healing incident workflows, multi-step LLM agent systems, and AI code review optimization. Ship backend code, set technical direction, and partner with product teams to deliver validated AI-first features. The role requires strong backend, distributed systems, event-driven architecture, LLM, and AI coding tool experience.

Build and scale event-driven .NET microservices powering M-KOPA’s electric mobility financing platform across Africa. Responsibilities include architecture, production monitoring, automated testing, observability, continuous delivery, infrastructure as code, and end-to-end ownership within a DevOps culture. The role involves collaborating across distributed teams, coaching others, and developing cloud-native backend systems using Azure, messaging technologies, Kubernetes, Docker, Prometheus, Grafana, and AI coding 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.

Build and evolve backend services and APIs for an AI-driven networking product. Design and deliver product functionality end-to-end, improve existing microservices, collaborate on product decisions, and own solutions through deployment with minimal supervision. The role uses Node.js with NestJS, Go, PostgreSQL, gRPC, Docker, GCP, and AI developer tooling in a fully remote startup environment.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Design and build the vCluster Platform using Kubernetes internals and Go. Own features end to end from technical design through release, solve complex systems architecture problems, contribute to open-source projects, and develop scalable tenant isolation and resource-sharing solutions. The role requires autonomous technical problem solving, strong Kubernetes expertise, and participation in a high-growth startup environment.

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.

Design, build, test, and maintain clean backend systems while shipping customer-facing features in product teams. Collaborate with deployment, go-to-market teams, and customers; improve recurring setup processes through product enhancements; and help shape engineering practices and technical culture. The role requires ownership, strong communication, curiosity, and a focus on quality and maintainability. Experience with AI features, evaluation, or product analytics is a bonus.

Design, build, and own scalable backend systems, APIs, and infrastructure for high-trust environments. Maintain hands-on coding involvement while driving testing, quality, maintainability, and technical culture. Solve complex product challenges with a user-first mindset, collaborate clearly, and operate effectively in ambiguity. Experience with the listed technology stack is beneficial but not required; AI feature and product analytics experience is a bonus.

Leads and mentors a backend software engineering team while remaining hands-on with coding, architecture, code reviews, and scalable microservices development. Oversees the full development lifecycle from requirements through deployment, promotes engineering best practices, manages performance and career development, and drives continuous process improvement. The role requires strong backend expertise, architectural experience, leadership skills, and effective collaboration within a remote international team.

The Senior Backend Engineer will develop backend services in Python on AWS, tackle performance challenges, and make key architectural decisions while mentoring team members and collaborating with product and design.

Provides technical leadership for backend engineering teams building scalable workload security products. Designs and architects distributed services that process telemetry, render policies, implement low-latency APIs, and operate reliably in complex environments. Focus areas include scalability, performance, reliability, robustness, security, event processing, systems programming, databases, Kubernetes, and cloud APIs.

Build and own scalable Node.js and TypeScript backend services for a healthcare platform supporting millions of patient interactions. Responsibilities include integrating clinical data sources and third-party systems, managing production services, monitoring and debugging, improving reliability, collaborating with product and design, and supporting cloud infrastructure. The role also includes mentoring engineers and advancing software development, DevOps, and cloud engineering practices.

Build and operate scalable backend systems and APIs supporting real-time sports betting experiences for millions of customers. Responsibilities include full lifecycle ownership, production issue resolution, performance and reliability improvements, automated testing, AI-assisted engineering, cross-functional collaboration, and mentoring other engineers. The role requires backend development experience with C# or Java, cloud-based distributed systems expertise, strong testing practices, and experience using AI coding tools or agents.

Leads a backend software engineering team responsible for planning, delivery, architecture, system performance, automation, and engineering excellence. Owns the team roadmap, mentors engineers, facilitates technical decisions, conducts code reviews, and partners with Product, Design, and business stakeholders. The role requires experience managing engineering teams, delivering software through the full lifecycle, object-oriented programming, .NET, distributed systems, Kafka, and AWS cloud infrastructure.

Design, implement, operate, and improve distributed backend systems at scale. Build event-driven architectures, improve production reliability, instrument services, optimize performance, establish safe deployment practices, and mentor engineers. The role partners with Product and engineering teams to define success metrics and guide technical direction.