Principal Fullstack Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Principal Fullstack Engineer (AI): Building an AI-native data integration platform at petabyte scale with an accent on Generative AI, LLMs, and Agentic architectures. Focus on designing resilient microservices, defining architectural patterns for enterprise-grade data pipelines, and providing technical leadership across multiple teams.
Location: Must be based in Redwood City, California (Hybrid role).
Company
is a global leader in CRM and enterprise cloud solutions, currently building next-generation AI-native data integration platforms.
What you will do
- Act as the technical authority for one or more engineering teams, driving cross-team architectural plans.
- Design and build high-performance, fault-tolerant backend services using Java and cloud-native microservices.
- Architect petabyte-scale data pipelines and integration workflows that leverage AI and Agentic patterns.
- Create design specifications and negotiate interfaces for complex, multi-team projects.
- Define SLIs/SLOs and ensure operational excellence, including observability and fault tolerance.
- Mentor engineers and provide constructive feedback through design reviews and code mentorship.
Requirements
- 15+ years of full-time software development experience in product or enterprise environments.
- Expert-level proficiency in Java, including concurrency and performance tuning.
- Extensive experience with Spring Boot/Spring Cloud and microservices architecture.
- Strong background in cloud platforms (AWS, Azure, or GCP) and container orchestration with Kubernetes.
- Proven expertise in designing distributed systems and message-driven architectures (e.g., Kafka).
- Deep knowledge of RDBMS, SQL, and NoSQL databases like Cassandra or MongoDB.
- Excellent communication skills with the ability to present technical initiatives to VP-level stakeholders.
Nice to have
- Hands-on experience with distributed processing frameworks like Apache Spark or Flink.
- Knowledge of open table formats such as Iceberg or Delta Lake.
- Experience with ETL/ELT platforms and metadata management.
- Familiarity with the or multi-tenant SaaS ecosystem.
Culture & Benefits
- Opportunity to work at the intersection of massive-scale distributed systems and cutting-edge AI.
- Direct impact on platform architecture used by thousands of enterprise customers.
- Focus on technical craftsmanship, mentorship, and team health.
- Collaborative environment with cross-functional partners and product owners.
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