Top Python Jobs in Dublin

Provide expert, customer-facing technical support for MongoDB ecosystems (server, drivers, cloud, infrastructure). Diagnose and resolve architecture, performance, recovery, security, and scalability issues; build support tools; mentor new hires; liaise with product and engineering on customer needs.

Deliver targeted technical training and foundational webinars to large customers, update and scale enablement content, partner with Sales and Customer Success, mentor new hires, collaborate with Product and Engineering for product feedback, run internal and in-person enablement events, contribute to team OKRs, and stay current on observability and DevOps practices while delivering high CSAT.

The Senior Technical Support Engineer will provide expert support for Circle's API products, resolve technical issues, manage escalations, improve support processes, and contribute to the team’s goals for customer experience and operational excellence.

The Senior Developer Advocate will educate and enable builders on MongoDB and MongoDB Atlas through content creation and community engagement, requiring a strong background in software development and technical advocacy.

Lead technical design and delivery of Klaviyo's messaging pipeline, building scalable backend services (Python/Go), driving architecture, mentoring engineers, collaborating across product, compliance, and platform, and ensuring high-throughput, reliable message delivery at scale.

Design, build, and own highly scalable, highly available messaging infrastructure that processes hundreds of millions to billions of messages daily. Collaborate across teams on architecture, performance, monitoring, and reliability; mentor engineers; improve development and experimentation processes; participate in hiring and technical design.

Design, build, and own features and services for Klaviyo's large-scale messaging platform. Drive performance, scalability, monitoring, and reliability for a pipeline that delivers hundreds of millions to billions of messages. Collaborate across teams, mentor engineers, and participate in hiring and technical process improvements.

Design, deploy, and operate high-volume, low-latency decisioning systems in public and private clouds. Build CI/CD pipelines, IaC (Terraform/CloudFormation), container orchestration (Kubernetes/Helm), and observability (Prometheus, Grafana, Splunk). Collaborate with global R&D, drive DevOps practices, optimize cost, and lead automation and reliability efforts.

Design, provision, and operate high-volume, low-latency decisioning systems across public and private clouds. Build CI/CD pipelines, implement Infrastructure-as-Code, drive observability, optimize cost, collaborate with global engineering teams, and lead DevOps initiatives while contributing hands-on automation and troubleshooting.

Lead design and deliver production-grade agentic AI applications and platform capabilities. Drive architecture, implementation, observability, security, CI/CD, and cross-functional delivery while mentoring engineers and shaping roadmaps for scalable, reliable AI-powered services.

Lead hands-on design and delivery of secure, scalable agentic AI applications and cloud-native services. Define engineering patterns for production AI systems, drive end-to-end SDLC, improve developer workflows with AI, mentor engineers, and collaborate with product, AI, security, and platform teams to move prototypes to governed production.

Design, provision, and manage high-volume, low-latency cloud and on-prem infrastructure. Build CI/CD pipelines, champion IaC, drive observability, optimize cost and performance, and collaborate with global R&D to deploy and operate the Decision Management Platform.

Design, provision, and manage high-volume, low-latency cloud and on-prem infrastructure for a real-time decisioning platform. Build CI/CD pipelines, champion IaC, drive observability, cost optimization, troubleshoot distributed systems, and lead DevOps initiatives across global engineering teams.

Lead design and deliver production-grade agentic AI applications and cloud-native services. Define engineering patterns, ensure security, observability, and reliability, drive SDLC improvements, mentor engineers, collaborate with AI, product, and platform teams, and move prototypes to governed production.

Lead hands-on design and delivery of secure, scalable agentic AI applications and platform capabilities. Drive architecture, implementation, SDLC, observability, security, and cross-functional collaboration to take AI solutions from prototype to governed production. Mentor engineers and shape roadmaps to enable reliable, maintainable, and high-impact product delivery.

Design, provision, and operate high-volume, low-latency decisioning infrastructure across public and private clouds. Build and optimize CI/CD pipelines, implement Infrastructure as Code, drive observability and reliability, and collaborate with global engineering teams to support, troubleshoot, and scale the real-time Decision Management Platform.

Lead design and deliver production-ready agentic AI applications and platform capabilities. Define engineering patterns, drive end-to-end SDLC, mentor engineers, ensure security, observability, reliability, cost controls, and collaborate with Product, Applied AI, Data Science, and stakeholders to move AI solutions from prototype to governed production.

Lead hands-on design and delivery of production AI/agentic applications and cloud-native services. Define engineering patterns for reliability, security, observability, and governance. Drive end-to-end delivery, mentor engineers, collaborate with Applied AI, Product, Security, and Platform teams, and shape technical roadmaps to scale AI-enabled products.

Design and manage high-volume, low-latency decisioning infrastructure across public and private clouds. Build CI/CD pipelines, implement IaC, drive observability, optimize costs, and collaborate with global engineering teams to support real-time fraud and identity services.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns, ensure reliability, security, observability, and cost control. Drive SDLC, mentor engineers, collaborate with product and AI teams, and translate concepts into governed, scalable production deployments.

Design and manage high-volume, low-latency decisioning platform deployments across public and private clouds. Build CI/CD pipelines, champion Infrastructure-as-Code, drive monitoring/observability, optimize cost and reliability, collaborate with global R&D teams, and contribute hands-on automation and coding.

Design, provision, and manage public and on-prem cloud infrastructure for a high-volume, low-latency decisioning platform. Build CI/CD pipelines, champion Infrastructure-as-Code, drive observability and reliability, collaborate with global R&D teams, optimize cost and performance, and provide hands-on DevOps leadership and automation.

Design and manage public and on-prem cloud infrastructure, build and optimize CI/CD pipelines, champion Infrastructure as Code, drive monitoring and reliability, collaborate with R&D to troubleshoot and scale a high-volume, low-latency decisioning platform, and lead DevOps automation and cost-optimization efforts.

Lead design and delivery of secure, scalable agentic AI applications and cloud-native services. Drive architecture, implementation, observability, CI/CD, and governance; mentor engineers and collaborate with product, AI, security, and platform teams to move AI solutions from prototype to production.

Lead design and deliver production-ready agentic AI applications and cloud-native services. Define engineering patterns for reliability, observability, security, and cost control. Drive end-to-end SDLC, mentor engineers, collaborate with AI, product, and platform teams, and operationalize AI solutions from prototype to governed production.