Top Python Jobs in Dublin

Own and improve connected go-to-market systems including Salesforce, HubSpot, DealHub CPQ, and marketing and sales tools. Build automations, integrations, self-service solutions, and small tools; maintain data quality, system reliability, monitoring, and production change management. Partner with business and engineering teams to solve underlying problems, provide EMEA-hours support, document changes, and use AI tools to accelerate development and troubleshooting.

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.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

Designs and implements DFT architectures and specifications for ASIC/SoC products. Responsibilities include scan insertion, ATPG pattern development, compression and clock-control insertion, optimizing test coverage and power, and pre- and post-silicon verification and debug. The role also requires gate-level simulation, failure analysis, scripting, and collaboration across product teams.

Troubleshoot customer AI infrastructure issues across Linux and Kubernetes, diagnose GPU and cluster failures, participate in 24/7 incident response, coordinate provider resolutions, and communicate clearly with customers. Build Python or Bash automation, monitoring, dashboards, alerts, runbooks, and documentation to prevent recurring problems. Experience with NVIDIA GPUs, HPC networking, schedulers, observability tools, and infrastructure-as-code is advantageous but not required.

Build, deploy, and support cloud-based full-stack solutions for Qualio’s quality and compliance platform. Collaborate with product managers, customer success, architects, and engineering teams to design reliable features. Apply test-driven development, clean code, CI/CD, Agile, DevSecOps, event-driven architecture, data management, and infrastructure-as-code practices. Use AI coding tools to accelerate development, debugging, and prototyping while contributing to architecture and code reviews.

Provides technical support for Twilio’s Voice, Platform Application, and Segment products. Troubleshoots full-stack code, APIs, network connectivity, QoS, SIP, VoIP, and IP telephony issues; supports developers, architects, partners, and non-technical customers. Collaborates with Product and Engineering teams, reports reproducible bugs, communicates customer feedback, and contributes to process improvements. The remote Ireland-based role includes five-day rosters, weekend and holiday support, and approximately 5% travel.

Design, build, test, and maintain scalable data engineering solutions, including automated releases, ETL processes, data models, real-time pipelines, monitoring, legacy migrations, and security strategies. Transform raw data using business logic, support machine learning and business intelligence workloads, and produce technical documentation. The role requires extensive experience with cloud platforms, SQL, databases, data warehousing, Spark, Databricks, Airflow, Kubernetes, Docker, Python, and related data technologies.

Owns end-to-end Design-for-Test activities for customer SoCs, including DFT architecture, scan insertion, ATPG, memory BIST, boundary scan, pattern validation, coverage improvement, DRC debug, gate-level simulation, equivalence checking, and production test handoff. Automates DFT flows using Perl, Tcl, UNIX, and optionally Python while supporting projects from concept through tape-out and manufacturing.

Establish and lead network Infrastructure as Code and DevOps practices across a global enterprise network. Build reusable Python and Go automation with Terraform, Ansible, APIs, CI/CD pipelines, testing, drift detection, policy enforcement, and controlled rollouts. Modernize existing services, reduce configuration drift and operational risk, support complex changes and incidents, influence architecture and governance, and mentor engineers while maintaining hands-on responsibility for enterprise networking.

Supports thermal performance rating and analysis of European air-cooled chillers. Responsibilities include running rating programs, preparing EN 14511 and EN 14825 performance data, validating models against laboratory results, developing spreadsheet-based analysis tools, sizing heat exchangers, evaluating refrigerants and control strategies, supporting testing, and preparing engineering documentation. The role also provides technical support to engineering, sales, marketing, and service teams while coordinating with global modeling and simulation groups.

Designs, operates, and improves secure, highly available Azure platforms supporting large-scale production environments. Leads reliability initiatives, defines SLOs and error budgets, performs root cause analysis, and develops resilient architectures. Builds Terraform infrastructure and automation, manages AKS and GitOps practices, develops observability strategies, and supports CI/CD pipelines. Provides technical leadership, mentors engineers, and participates in on-call rotations and major incident management.

Software Engineering Interns complete scoped technical projects, write tested and documented code, and contribute to Pinterest products and infrastructure. They collaborate with mentors and cross-functional teams, learn large-scale systems, participate in professional development, and use AI responsibly in engineering workflows. Candidates must be pursuing a bachelor’s degree in computer science or a related field, demonstrate computer science fundamentals, have coding experience in relevant languages, and be available onsite in Dublin two to three weekdays weekly during the summer 2027 internship.

Designs, operates, and improves highly available AWS database platforms supporting critical applications. Responsibilities include database monitoring, performance optimization, failover and disaster recovery testing, infrastructure automation, observability, incident response, root cause analysis, and production recovery. The role participates in on-call rotations, reduces operational toil through scripting and Infrastructure as Code, improves reliability and security, and mentors junior engineers.

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.

Lead technical knowledge-gap analysis and documentation for business-critical data platforms, initially focused on OBIEE and ODI. Map data lineage, ETL processes, dependencies, scheduling, transformations, and operational procedures. Create runbooks, process maps, recovery guides, wiki content, and training videos. Conduct structured knowledge-transfer sessions, mentor team members, troubleshoot technical issues, and identify opportunities to standardize processes, automate repetitive work, and reduce single points of failure.

Build and scale internal AI tools and agents that integrate the SaaS stack into company workflows. Identify high-leverage automation opportunities, design and ship production-grade Python systems, ensure governance and security, drive adoption through training, and iterate on AI architecture and tooling.

Build and maintain scalable ETL pipelines, integrate data from databases, APIs, streaming platforms, and external providers, and transform large datasets for analytics and machine learning. Establish reusable engineering frameworks, data governance, monitoring, alerting, and reliability practices. Collaborate with analytics and business teams on cloud data migration, predictive model enablement, and healthcare cost reduction. Required skills include SQL, Python, Scala or Java, cloud platforms, Snowflake or Databricks, DevOps, Git, and CI/CD.

The Senior Site Reliability Engineer will scale and operate VETRO’s cloud-based FiberMap platform. Responsibilities include improving reliability, observability, incident response, automation, infrastructure performance, CI/CD, security, disaster recovery, developer enablement, AI-assisted operations, and cloud cost efficiency. The role requires participation in on-call rotations and collaboration across Engineering, Product, Security, and Customer teams.

Design, build, and operate scalable control-plane services and Kubernetes controllers enforcing network segmentation and security policies across clusters, clouds, and data centers. Integrate cloud-native networking (CNI, service mesh), automate policy lifecycle, lead production troubleshooting, apply CI/CD and observability, mentor engineers, and use AI tools to accelerate development and operations.

Entry-level graduate role supporting the design and development of AI-ready data platforms. Responsibilities include building AI agents, MCP integrations, APIs, RAG solutions, data pipelines, cloud-native services, analytics tools, governance controls, monitoring, testing, and documentation. The role involves collaborating with data and platform teams, researching emerging AI technologies, and applying secure software engineering practices.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

Develop networking software for Arista’s switches and routers, including Linux kernel and user-space code, routing protocols, hardware and ASIC interfaces, forwarding-state management, configuration services, and automated testing. Work across C/C++, Go, and Python in embedded Fedora Linux environments, implementing high-performance, fault-tolerant systems and protocols such as BGP, OSPF, and ISIS. Collaborate in a highly technical team focused on software-defined networking and data-center infrastructure.

Leads technology and data strategy for product capabilities, third-party administrator integrations, fund operations, and investment product launches. Owns roadmaps, requirements, data quality controls, vendor relationships, delivery sequencing, testing, cutover planning, and launch readiness. Coordinates architects, data teams, operations, project managers, analysts, and business leaders while managing one direct report and influencing broader matrix teams.