Ai-Enabled Sw Engineer - Talent Pool

Wrike
Madrid, Spain
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Automation of Tests Code Review Cursor (Graphical User Interface Elements) Spring Framework Redis SQL Databases TypeScript ReactJS Wrike Backend
+3 more
Integration Tests React Redux Restful APIs

Job description

About the role:Wrike is building a new generation of engineers who pair solid Java fundamentals with genuine, hands?on AI fluency.This isn’t a fixed lane for a 10?year veteran.It’s a newly created talent track for someone who already builds with AI as a natural part of their job- and wants to grow into full end?to?end ownership over the next year or two, with a clear, supported path to do so.We evaluate this role on what you’ve actually built and how you work, not on years of tenure.If you have a strong Java base and real curiosity about AI?assisted development? not just awareness of it? this is worth a conversation.Your Impact:Build and ship backend features in Java/Spring, with growing exposure to the full stack as you take on more scope across modern frontend technologies (TypeScript, React 19) and legacy componentsWork directly with AI coding tools (Cursor, Claude/Codex, our internal AI portal, and MCP) as a daily part of how you build-experimenting and finding new ways to save real timeWrite automated tests, take part in code reviews, and contribute to task estimation and technical planningNavigate an existing, living codebase-learning what to reuse, where rebuilding makes sense, and how to hold the line against tech debtTake increasing ownership of features as you build trust-this is a growth track designed to transition you into a full end?to?end ownerWork closely with senior engineers and teams, picking up the critical thinking and judgment calls that come with full system ownershipYour Qualifications:A solid foundation in backend engineering, with comfort in Java (21), Spring, REST APIs, and SQL, TypeScript, React 19Genuine curiosity about and active use of AI coding tools- not avoidance, not just “awareness,” but a desire to push past the learning curveEvidence of things you’ve actually built and shipped, even at a smaller scope- we care more about what you’ve done than your title or years of experienceA growth mindset: comfortable navigating a non?trivial codebase and taking on more ambiguity as you prove you can handle itGood collaboration instincts- you ask questions, raise issues early, and work seamlessly within a cross?functional teamOur stack:Java (21), Spring, REST APIs, SQLTypeScript, React 19, Redux, DartPostgreSQL, Redis, RabbitMQUnit/integration testing, Java web stackAI tooling: Cursor, Claude/Codex, Zencoder, internal AI portal, internal MCP#J-*****-Ljbffr

Requirements

with full system ownershipYour Qualifications:A solid foundation in backend engineering, with comfort in Java (21), Spring, REST APIs, and SQL, TypeScript, React 19Genuine curiosity about and active use of AI coding tools- not avoidance, not just “awareness,” but a desire to push past the learning curveEvidence of things you’ve actually built and shipped, even at a smaller scope- we care more about what you’ve done than your title or years of experienceA growth mindset: comfortable navigating a non?trivial codebase and taking on more ambiguity as you prove you can handle itGood collaboration instincts- you ask questions, raise issues early, and work seamlessly within a cross?functional teamOur stack:Java (21), Spring, REST APIs, SQLTypeScript, React 19, Redux, DartPostgreSQL, Redis, RabbitMQUnit/integration testing, Java web stackAI tooling: Cursor, Claude/Codex, Zencoder, internal AI portal, internal MCP#J-*****-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:21 min

Exploring the target application for front end tests

Anna Mcdougall ¡ JS Congress

3:55 min

Demonstrating semantic routing thresholds with the Redis vector library

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou ¡ Coffee With Developers

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall ¡ JS Congress

3:42 min

Comparing in-memory and Redis storage for cache scalability

Simone Sanfratello ¡ WWC 2022

3:18 min

Adapting engineering interviews to evaluate critical thinking and curiosity

Alex Laubscher Alex Laubscher +3 ¡ WWC 2025

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