8 месяцев назад
Principal Application Development Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Application Development Engineer: Develop core components, frameworks, and libraries using Java, Spring Boot, JavaScript, Typescript, React, and Python with an accent on optimizing codebases for performance and scalability. Focus on using AI/ML across the development lifecycle to improve quality and accelerate delivery.
Location: Remote
Company
is one of the world’s largest cloud solution providers, serving more than 100 million users around the globe.
What you will do
- Develop core components, frameworks, and libraries using Java, Spring Boot, JavaScript, Typescript, React, and Python.
- Lead the analysis, conceptual design, and technical direction of complex projects.
- Design scalable, maintainable, secure, low-latency, and performant systems.
- Champion the use of AI/ML across the development lifecycle to improve quality, accelerate delivery, and automate repetitive coding tasks.
- Guide and mentor junior engineers, fostering a culture of technical excellence and continuous learning.
- Work within agile frameworks like SAFe and methodologies like Scrum and Kanban to ensure timely and effective project delivery.
Requirements
- 15+ years of experience in software development.
- Expertise in designing systems using TOGAF principles and established architectural and security best practices.
- Expert-level proficiency in Java, Spring Boot, and Hibernate. Strong experience with JavaScript, Typescript, React, and Python.
- Expertise in both SQL (e.g., Oracle, PostgreSQL) and NoSQL databases (e.g., MongoDB, DynamoDB, Neo4j, VectorDB).
- Hands-on experience with Kubernetes (K8S), Microservices, REST, and Docker.
- Proven experience with GenAI, LLM, RAG and MCP.
Nice to have
- Experience with application servers like Tomcat, WebSphere, or JBoss.
- Experience with caching technologies such as Ehcache and Infinispan.
- Experience in designing and deploying microservices-based architectures.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with Kafka, Elasticsearch, Datalake, gRPC, Apache Spark, and tools like Git, Maven, Terraform, Grafana, Kibana, and Prometheus.
Culture & Benefits
- Value passion for technology and the courage to take risks.
- Empowered to learn, dream, and build the future of work.
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