- Work model
- Hybrid
- Experience
- 3+ years
- Employment
- Full Time
- Compensation
- Not disclosed
- Technology signal
- 11 tags
Technology context
11Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
WalkMe is growing and we want you to join us!
WalkMe is looking for a Full-Stack Developer to join our Big Data and Analytics department.
Our Big Data Platform delivers the foundational, high-performance data infrastructure that powers dashboards, APIs and contextual insights for both customer facing and internal products.
As a developer on the Big Data Platform, you will be a part of the outstanding group that builds WalkMe's intelligent data infrastructure, directly powering context-aware AI models and autonomous workflow automation. We are looking for people who look at engineering differently - people who are passionate about scaling AI-ready data layers, optimizing real-time context streaming, and leading the smart platform solutions they envision. If you are passionate about developing a cutting-edge data foundation that drives conversational AI execution across enterprise applications, making a massive impact, and striving to work with the industry's best talent - WalkMe is where you want to be!
What will you actually be doing?
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End to end development of features and systems that are used daily by key stakeholders, both internally and externally
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A technical focal point for software development best practices and design of main components, services and systems.
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Explore, implement, and introduce cutting-edge technologies and innovative ideas.
What should you bring to the table?
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B.Sc . in CS/EE from a leading university OR army experience - a must.
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4+ years of professional software development experience, with JavaScript and web technologies.
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3+ years of experience of server-side development with Node.js .
- Experience working with React/Angular/Vue.
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Experience in designing and developing large distributed systems and microservices architecture.
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Experience working with Kubernetes - advantage.
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Experience working on AI/ML-driven products - advantage.