Hello All,
Hope you are doing well,
We have the role of Senior Java Backend & Data Engineering with our client. I have shared the detailed job description below. Let me know if you are interested in discussing this role further.
Title: Senior Java Backend & Data Engineering
Location: Mountain View, CA (Onsite)
Duration: 12+ Months
Key Responsibilities:
· Design, develop, and maintain scalable backend services using Java 17/21 and Spring Boot.
· Build cloud-native microservices and REST APIs deployed on AWS.
· Develop scalable batch and real-time data pipelines using Java and Python.
· Build and optimize distributed data processing solutions for high-volume enterprise applications.
· Collaborate with AI/ML, backend, and product engineering teams to enable AI-powered capabilities through reliable data platforms.
· Design high-performance, resilient systems following modern software engineering best practices.
· Leverage AI technologies to improve developer productivity and integrate AI-powered capabilities into applications.
· Participate in architecture discussions, code reviews, performance tuning, testing, and production support.
Required Skills:
· 7+ years of software engineering experience.
· Strong hands-on experience with Java 17/21.
· Expertise in Spring Boot and Microservices architecture.
· Strong experience developing applications on AWS.
· Strong proficiency in Python.
· Experience building scalable data pipelines, ETL/ELT processes, or distributed data processing systems.
· Experience with Apache Spark, Kafka, or similar distributed data technologies.
· Strong knowledge of SQL, data modeling, and modern data storage technologies.
· Experience designing REST APIs and distributed backend systems.
· Hands-on experience with AI technologies, including Agentic AI, LLM integrations, AI-assisted development tools (e.g., GitHub Copilot, Claude, Amazon Q), or AI-enabled application development.
· Strong problem-solving skills and experience working in Agile development environments.
Preferred Qualifications:
· Experience with Kubernetes, Docker, and CI/CD pipelines.
· Experience with Airflow, Databricks, or similar data orchestration platforms.
· Experience building data platforms supporting AI/ML workloads.
· Experience with event-driven architectures.
· Experience working in large-scale cloud-native enterprise environments.
Thanks and Regards,
Sai Punith,
M9 Consulting, Inc.
E-Verified | Women Owned | Minority Certified Business
Cell: +1
Email:
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