Top Tech Jobs & Startup Jobs in Dublin

Lead development of mobile features from design to production for a large social discovery app. Produce solutions, write and test Flutter/Dart code, perform code reviews, optimize performance, support releases and CI/CD, integrate APIs and native platform features, and collaborate with Product, QA, Backend, and Architecture teams.

Lead affiliate partnerships for mainstream dating products: source and onboard partners, negotiate deals, launch and scale campaigns, analyze traffic and performance (CR, LTV, CPA, ROI), manage tracking setup and troubleshoot attribution and reporting issues across teams.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

As a Senior QA Automation Engineer, you will develop and maintain automated tests for web applications, perform manual testing, validate integrations, and create documentation while analyzing issues in a remote work environment.

Develop and maintain advanced applications using Flutter and Dart, ensuring code quality, performance optimization, and collaboration with cross-functional teams.

As a Senior Atlassian Platform Engineer, you will administer and support Jira and Confluence platforms, automate tasks, troubleshoot issues, and collaborate with various teams to enhance performance and stability.

As a DBA Engineer, you'll optimize database performance, troubleshoot issues, and handle SQL Server administration tasks, collaborating with teams to enhance data architecture and efficiency.

The Marketing Analyst prepares analytical reports on campaigns, evaluates A/B tests, monitors key performance indicators, and optimizes marketing models and reports.

The Senior Product Analyst will automate data collection, analyze product metrics, conduct A/B tests, and support product hypothesis generation.

Own end-to-end ML projects focused on recommendation and LTV signals: develop, evaluate, and deploy models; build training/scoring pipelines; run A/B tests; monitor production models; collaborate with product and analytics; mentor colleagues.