Back End Engineer at Accenture in Dublin

Job description

Back End Engineer @The Dock About The Dock The Dock is Accenture’s flagship R&D and Global Innovation Center, based in Dublin’s Grand Canal Dock. As an incubation hub for the next generation of AI and GenAI agentic solutions, The Dock brings together a global community of business strategists, designers, engineers, data scientists, and entrepreneurs. Our mission is to solve some of the world’s hardest problems and create transformational products and services that help industries thrive in the face of unprecedented change. From shaping the future of work with intelligent systems to building breakthrough digital platforms, our team operates across the entire innovation spectrum, from exploration to real-world deployment. At The Dock, we experiment boldly, collaborate openly, and build the future in real time. About the Role We’re looking for a Backend Engineering Lead to join our Technology Engineering & Analytics practice. At The Dock, you’ll be part of an innovation-driven team helping to design, build and deliver next-generation solutions—from early prototypes and MVPs to scalable, production-ready systems. As a Backend Engineering Lead, you’ll take a prominent role in technical discussions and contribute to designing, developing, and maintaining robust, secure, and scalable products. You’ll be responsible for building the APIs, databases and business logic that underpin new applications, ensuring they are performant and reliable. You will act as a technical mentor, supporting junior developers and raising technical quality across the team through PR code reviews, pair programming, and knowledge sharing. By engaging directly with clients and stakeholders, you’ll translate functional and technical requirements into practical solutions. You’ll document key technical decisions, architectural patterns, and reusable components to accelerate delivery and define technical epics with clear workload estimations. Collaboration is central to the role—you’ll work closely with Design, Product, Data, and DevOps teams to deliver compelling, user-focused products that balance innovation with long-term scalability. Desired experience & skills: Substantial experience working in an agile team to deliver software in a fast-paced, highly collaborative work environment. Proven expertise as an engineer designing, presenting and implementing complex applications, enterprise level APIs, data and webservices integration. Experience in one of the following ecosystems: Python ecosystem (e.g. Python 3+, FastAPI, Pandas, PyTorch, LangChain) OR Node.js with one or more frameworks (e.g. Express.js) Relational, NoSQL & Vector databases (e.g. MySQL, MongoDB, Cassandra, Pinecone etc.) RESTful APIs, GraphQL, WebSockets, event/message-driven & serverless architectures Cloud-native services on AWS/Azure/GCP & serverless compute (AWS Lambda, Azure Functions, GCP Cloud Functions) Messaging & integration patterns (AWS SQS/SNS, Kafka, Azure Service Bus) Containerisation technologies and platforms (e.g. Docker, K8s, EKS/AKS/GKE) Experience with Agile development methodologies (SCRUM, Kanban, etc) Engineering practices & principles, e.g. OOP, functional programming, design patterns, unit and integration testing DevOps skills for code repository management on large, distributed teams (CI/CD pipelines, Terraform, Azure Pipelines, GitHub, Infrastructure as code) Core understanding of Authentication and Authorisation principles and technologies (Azure AD, Active Directory, AWS Cognito, IAM, OAuth 2.1, OpenID Connect, JWT, Azure AD) Additional skills we value: Fundamental knowledge of networking (OSI Model, VPNs,VPCs) Experience working with established technology platforms (e.g. SAP, ORACLE, Salesforce) Exposure to Generative AI/ Machine Learning/Deep Learning based solutions including model deployment and data pre-processing Data engineering skills on Apache Spark, Azure Data factory, Apache Kafka, Data Bricks etc. Interest in Technology Architecture and Design Patterns