Top Python Jobs in Dublin

Architect and build core backend systems and APIs for a business-logic-heavy AI-native ERP. Deliver production-ready features end-to-end, including CI/CD, deployments, database schema and migrations, integrations with third-party systems, monitoring, and post-release care. Collaborate with product to translate complex finance workflows into secure, performant systems at scale.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Design and develop core backend systems and APIs for AI applications, ensuring performance and reliability while collaborating with frontend teams.

Build and scale the internal developer platform: create tools, services and automation (CI/CD, canaries, feature flags, access workflows) using IaC (Pulumi/Python) and Kubernetes to enable safe, fast shipping. Drive platform initiatives, mentor teams, lead AI tool adoption for engineering, participate in on-call and design/code reviews, and ship major improvements across the organization.

Lead optimization of concurrent systems, scale backend microservices, and collaborate with developers and engineers on deployment for retail solutions.

Conduct quantitative analysis of private equity co-investments, evaluate market risks and returns, and support investment team decisions with statistical insights and modeling.

The Senior Systems Engineer will manage global infrastructure, oversee service availability, perform server maintenance, and design hybrid cloud environments, ensuring operational excellence and security incident response.

Design and execute system-level test cases for a network management system, troubleshoot issues, write bug reports, and improve user experience.

The POC Engineer designs and demonstrates networking solutions for clients, manages complex test topologies, and collaborates on product enhancements.

The AI Support Engineer will solve complex customer issues, provide technical support for OpenAI products, and improve internal processes using AI and scripting.

Lead design and implementation of high-throughput, low-latency backend services and APIs optimized for agentic AI. Define API contracts (OpenAPI), improve performance, observability, and resiliency, mentor engineers, own incident response and RCA, and create tools and patterns for cross-team API governance and data exposure.

Serve as the Designated Person for Fund Risk overseeing fund risk framework and daily risk management for UCITS/AIF funds and IPM mandates. Monitor credit, liquidity, and counterparty risk; review manager reporting; escalate breaches; report monthly/quarterly to boards; perform manager due diligence; collaborate with operational and investment DPs; lead a small team and provide guidance on regulatory changes and risk appetite compliance.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Design and deploy system-level sensing and grid-monitoring solutions by engaging customers, prototyping hardware, integrating embedded software and analytics, troubleshooting cross-domain issues, validating systems to standards, and supporting field trials and production deployments.

Lead design and delivery of Databricks-based banking data platforms on AWS. Build and optimise large-scale Spark/PySpark pipelines with Delta Lake, own data governance (Unity Catalog), manage Terraform IaC, drive CI/CD, mentor engineers, maintain documentation, and ensure scalable, secure, cost-effective architectures in a regulated financial environment.

Build and maintain hardened Ubuntu-based container images and the automated CI/CD pipelines to build, test, scan, sign, publish, and retire them. Integrate upstream open-source projects, ensure security and cloud-native compatibility, collaborate with cross-functional teams, document and share knowledge, mentor colleagues, and contribute to hiring. Work in a distributed agile environment with occasional travel.

Build and operate scalable MLOps pipelines, model serving, and inference architectures. Implement CI/CD, monitoring, A/B/canary deployments, feature stores, GPU autoscaling, and secure governance for production ML systems.

The Site Reliability Engineer III is responsible for ensuring application reliability, performance, and scalability on the Guidewire Cloud Platform, using automation and engineering skills to troubleshoot issues, develop runbooks, and optimize systems.

As a Software Engineer III, you'll collaborate with stakeholders, design complex features, mentor junior engineers, and implement best practices for software delivery.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

Develop and optimize algorithms for battery and renewable energy projects, analyze market data trends, and ensure algorithm performance.

Build end-to-end AI-native product features across frontend, backend, and model integrations. Design and deploy agent workflows, integrate LLMs, memory, and external tools, and ensure real-time streaming, low-latency interactions, reliability, observability, and robust fallback/recovery. Collaborate with ML, backend, and product teams and iterate based on real-world usage.

Build and ship end-to-end AI features, shaping model behavior and surrounding systems. Design prompts, tools, memory, and agent workflows; convert model outputs into reliable behavior; debug across model, infra, orchestration, and UX; optimize latency, cost, and reliability; and develop evaluation frameworks to measure real-world performance.

Own and ship core ML subsystems end-to-end for a proactive, long-horizon AI assistant. Work includes data preparation, training, evaluation, inference, debugging production failures, optimizing for latency/cost/reliability, and mentoring other ML engineers.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.