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Sr Java Backend Engineer

Sunnyvale, CA, US • Posted 2 hours ago • Updated 1 hour ago

Full Time

No Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

Java
J2EE
SpringBoot
Hibernate
Microservices
REstful
JAX-RS
RDBMS
NoSQL
ETL
ELT
CI/CD
Git
Jenkins
Docker
Kubernetes
Azure
AWS
GCP
Any Cloud

Summary

Job Details
Sr Java Backend Engineer
Fulltime /Direct Hire
Sunnyvale, CA (Onsite)

Job Description:
We are seeking a highly skilled Java Backend Engineer with experience in data platforms, ETL pipelines, and distributed data systems. The role involves building backend services, designing scalable data workflows, and collaborating with engineering teams to enable high-performance systems.

Key Responsibilities
· Design and build scalable backend services using Java, Spring Boot, JAX-RS, and Microservices frameworks.
· Develop and optimize data ingestion and ETL components across diverse data sources.
· Implement RESTful APIs, microservices, and event-driven back-end components.
· Collaborate with Data Engineering teams on data modeling, integration, warehousing, and pipeline orchestration.
· Work with both RDBMS and NoSQL databases, including schema design, indexing, and query optimization.
· Build batch and near real-time processing pipelines that handle high-volume datasets.
· Integrate backend components with CI/CD pipelines, containerization, and cloud deployment workflows.
· Perform performance tuning, debugging, monitoring, and logging for backend and data workflows.
· Collaborate with QA, Data, and Product teams to ensure reliable and high-quality delivery.

Required Skills & Experience
Core Backend Expertise
· Strong knowledge of Core Java, Java-J2EE, Spring Boot, Hibernate, and Microservices architecture.
· Experience building RESTful services using JAX-RS.
· Ability to design and maintain scalable, high-performance backend services.

Data Engineering / Platform Skills
· Hands-on experience with RDBMS and NoSQL databases.
· Understanding of ETL/ELT, data warehousing concepts (facts/dimensions, SCDs), and data integration.
· Exposure to data ingestion frameworks and pipeline orchestration tools.

Cloud & DevOps
· Familiarity with CI/CD, Git, Jenkins, containerization (Docker/Kubernetes), and automated deployments.
· Experience with cloud environments (Azure, AWS, or Google Cloud Platform) is a plus

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91088983
Position Id: AT-45
Posted 2 hours ago

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