Top Python Jobs in Dublin

Serve as a technical sales resource for UK Commercial Sales, building customer relationships and driving technical wins. Lead demonstrations, workshops, presentations, proof-of-concepts, technical validations, and solution positioning for Splunk products. Partner with sales managers, understand customer needs, support buying decisions, maintain opportunity updates in Salesforce, and help customers achieve value outcomes across public and private sector accounts in Scotland and Ireland.

Designs and manages highly available AWS infrastructure, Azure DevOps CI/CD pipelines, containerized platforms, and infrastructure-as-code. Supports Windows and Linux production systems, automation, monitoring, observability, incident response, performance tuning, capacity planning, and reliability initiatives. The role promotes DevOps and SRE practices, leads root cause analysis, improves deployment strategies, and supports secure, scalable platform modernization with on-call responsibilities.

Designs, builds, operates, and improves scalable batch and near-real-time data pipelines, ETL/ELT workflows, data models, integrations, and enterprise data products. Owns solution quality, testing, governance, monitoring, security, deployment, and incident resolution. Partners with technical and business teams, leads designs, mentors engineers, and enables trusted data for analytics, automation, planning, and AI use cases.

Design, deploy, and improve infrastructure services and security-focused CI/CD toolchains. Translate requirements into scalable designs, implement monitoring and policies, develop automation frameworks, write unit and functional tests, and participate in Agile ceremonies. The role emphasizes engineering best practices, reliable deployments, system security, and high-quality software delivery. This position is limited to candidates converting from an internship.

Develop and maintain AWS-based customer engagement solutions using Python and Amazon Connect. Build serverless applications, APIs, integrations, and cloud-native platforms using services including Lambda, DynamoDB, S3, and API Gateway. Manage CI/CD and infrastructure as code, monitor reliability, address incidents, and apply security and scalability best practices. Collaborate with technical and business teams to deliver maintainable solutions supporting operations and analytics.

Lead customer-facing Agentic AI deployments from strategy through adoption and measurable value realization. Define AI roadmaps, design agentic solutions across Salesforce platforms and enterprise systems, manage delivery timelines and risks, coordinate technical teams, guide change management, and engage senior stakeholders. The role also drives responsible AI practices, customer adoption, product feedback, and solution development using AI-supported tools.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

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.

Lead enterprise cybersecurity architecture and infrastructure security across cloud environments. Translate security policies into automated, testable controls; drive security strategy, threat modeling, DevSecOps, and Infrastructure as Code practices; solve complex security challenges; advise executive leadership; mentor engineers; and develop secure architectures for AI, distributed systems, and mission-critical platforms.

Leads the design and implementation of infrastructure security controls, automates governance and compliance through code, and embeds security into CI/CD pipelines. Architects secure cloud infrastructure across AWS, GCP, and Azure; develops Infrastructure as Code modules; drives DevSecOps adoption; and mentors engineers. The role also leads complex security initiatives, supports compliance frameworks, influences governance decisions, and communicates technical risks to executives and engineering stakeholders.

Design, build, test, and improve autonomous transmission and grid-planning software. Manage electricity network data and models, support power-system analytics, and assist users. The role requires expertise in utility interconnection processes, grid planning standards, steady-state and dynamic power-system studies, plant model development, and Python automation. Candidates will collaborate globally with utilities, system operators, developers, and internal technical teams.

Develops and delivers leading-edge AI capabilities for engineering teams within Fidelity Architecture and Engineering. The role involves building AI-driven workflows, using AI tooling, applying software engineering best practices, exploring emerging technologies, contributing to open-source initiatives, and collaborating across multidisciplinary teams.

Manage AWS accounts and GCP projects across a multi-cloud environment, maintaining governance, security baselines, IAM practices, and policy guardrails. Build and maintain Terraform and CloudFormation infrastructure, automate account lifecycle and compliance workflows using Python or Go, and leverage AI coding tools. Support developers with cloud access, quotas, identity, and self-service configuration while collaborating with Security, Platform, and Development teams.

Provide technical support for Label Studio, troubleshooting installation, configuration, software, cloud, API, browser, and containerized-system issues. Diagnose root causes using debugging tools and logs, collaborate with Product, Engineering, and Customer Success, create documentation, improve support workflows, automate processes, and deliver structured customer updates.

Own and evolve Amperon’s Azure and Kubernetes platform, including AKS clusters, Terraform infrastructure, databases, AI-agent environments, observability, security, and cloud cost optimization. Lead infrastructure programs, incident response, on-call operations, and postmortems while supporting engineering and data teams. Mentor engineers, write design documentation, and establish reliable, secure, self-service platform practices.

Provide escalated technical support for edge-to-cloud computer vision deployments: troubleshoot cameras, networking, edge devices, and integrations; analyze AWS CloudWatch logs; debug Python and JavaScript; collaborate with Engineering, Product, and Client Success; document solutions and improve support processes.

Build and support secure full-stack web applications, internal tools, APIs, data pipelines, and database schemas. Develop AI agents and LLM-powered solutions using Agentic AI, RAG, tool calling, guardrails, and Microsoft Foundry. Deploy machine learning models for predictive analytics, implement automated testing and CI/CD, resolve application and data issues, and modernize legacy systems. Collaborate with technical teams and business stakeholders to deliver scalable information and decision-support solutions.

Own and evolve the company-wide Quality Engineering strategy, standards, automation architecture, tooling, quality metrics, and release controls. Assess maturity across engineering domains, drive risk-based testing and shift-left practices, lead critical investigations, and guide QA Technical Leads. The role remains hands-on through code, prototypes, architecture reviews, and pilots involving UI and backend automation, CI/CD, cloud-native environments, observability, and emerging technologies including AI.

Manage mission-critical Oracle and PostgreSQL databases across AWS RDS, Aurora, and EC2. Responsibilities include performance tuning, upgrades, patching, incident response, backup and recovery, replication, disaster recovery, monitoring, automation, database deployments, and collaboration with DevOps teams. The role includes occasional on-call rotations and weekend deployments.

Leads quality engineering strategy across PUMA’s direct-to-consumer technology landscape. Responsibilities include managing automation teams, designing scalable test frameworks, driving regression and API testing, integrating automated tests into CI/CD pipelines, defining quality metrics, and partnering with engineering, product, DevOps, SRE, and architecture teams. The role also advances shift-left practices, performance testing, observability, AI-assisted testing, and continuous improvement across web, mobile, commerce, integrations, and platform services.

Manage, monitor, secure, and optimize Azure PaaS and IaaS services supporting business applications. Responsibilities include Azure DevOps administration, CI/CD pipeline support, infrastructure automation, cost optimization, incident troubleshooting, SaaS management, technical documentation, stakeholder collaboration, and mentoring junior consultants. The role requires strong Azure engineering experience, certification, scripting, containerization, security management, and client-facing communication skills.

Leads enterprise Salesforce data and analytics platform support, owning escalation models, incident coordination, SLAs, root-cause analysis, readiness, monitoring, automation, compliance, and support processes. Resolves complex Apex, Python, and SQL issues; partners with SRE, engineering, vendors, and business stakeholders; manages enhancement projects; develops runbooks and reference materials; mentors analysts; tracks customer satisfaction; and influences operational priorities and reliability improvements.

Leads software engineering for employee platforms, providing technical direction, designing and developing secure production systems, reviewing code, and ensuring operational stability. Drives responsible adoption and governance of AI-assisted engineering tools, establishes validation standards, promotes automation, and serves as a subject matter expert. Requires advanced Python expertise, cloud-native experience, independent problem-solving, and leadership across engineering teams. Node.js and React experience is preferred.

Lead development of generative AI solutions, including AI agents, LLM integrations, agent orchestration, semantic models, and retrieval-augmented generation. The role requires mandatory experience with Snowflake Cortex Agents and RAG, with Python and related AI engineering skills preferred. This is a senior, work-from-office position supporting the cards and payments domain.

Manage and support identity and access management operations, including provisioning, deprovisioning, permissions, auditing, ticket resolution, automation, and incident response. Build IAM automation pipelines, support Okta and Entra ID migrations, monitor systems with Prometheus, Grafana, and Splunk, maintain documentation, and participate in on-call support. Collaborate with globally distributed IAM and engineering teams to maintain secure, reliable infrastructure across AWS and GCP.