Senior Full-Stack Engineer, AI Developer Experience
RedisBuild Redis consoles, command-line tools, MCP servers, and agent skills as a Senior Full-Stack Engineer. Shape AI-native developer experiences for Redis customers.
Deschide
Cognyte dezvoltă software de analiză investigativă pentru agenții guvernamentale și alte organizații axate pe securitate și răspunsul la amenințări. Platforma sa deschisă de analiză reunește informații pentru luarea deciziilor, informații despre rețele, operațiuni și amenințări, ajutând echipele să coreleze informații disparate, să accelereze investigațiile și să identifice sau să reducă riscurile. Cu trei decenii de experiență pe piață și clienți în peste 100 de țări, Cognyte sprijină activitatea de investigare în domeniul securității naționale și în operațiuni de securitate mai ample.
Senior Back-End Engineer, Cognyte (Hybrid, Bulgaria)
Build Java microservices for Cognyte’s distributed analytics platform, designing scalable data systems and supporting engineering colleagues. This senior role is based in Bulgaria with a hybrid work arrangement.
Descriere
- Build and deploy microservices that process and analyze large datasets across distributed environments.
- Design systems for high availability, low latency, and scalability.
- Contribute within a collaborative team using Scrum.
- Work with product owners, architects, and software engineers across countries to solve complex problems.
- Help shape technical decisions and strategy in support of the product’s long-term direction.
- Contribute to product design, architecture, and code refactoring.
- Review code contributed by other engineers.
- Mentor junior and mid-level engineers.
Cerințe
- Bring at least eight years of hands-on Java development experience; Spring Framework experience is an advantage.
- Have hands-on experience building cloud microservices with native technologies such as Kubernetes and Docker, preferably on GCP, AWS, or Azure.
- Use AI tools effectively to improve development speed and quality.
- Have experience designing and implementing large distributed systems with Apache Kafka, RabbitMQ, or similar technologies.
- Bring experience with relational databases, preferably PostgreSQL or MySQL.
- Have experience with NoSQL databases such as MongoDB.
- Bring Elasticsearch experience; this is an advantage.
- Understand testing approaches that support code quality, reliability, and scalability in production.
- Have familiarity with running AI/ML workloads; this is an advantage.
- Be fluent in English.
- Bring a naturally curious mindset.
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