Software Engineer (Backend) - MTS (Java)

TL;DR

Software Engineer (Backend) (Java): Building and optimizing the next generation of Agentic data integration and Data Foundation architecture for petabyte-scale enterprise platforms with an accent on cloud-native microservices and high-throughput APIs. Focus on designing scalable data pipelines, implementing distributed processing systems, and ensuring operational excellence in a high-availability environment.

Location: Redwood City, California

Company

A global leader in CRM and cloud software, providing mission-critical platforms for the world's largest enterprises.

What you will do

• Drive end-to-end design, development, and deployment of features within the IDMC Data Integration platform.
• Develop high-performance, reliable code for cloud-native microservices architecture.
• Build scalable data pipelines, APIs, and integration workflows for both structured and unstructured data.
• Implement robust automated unit, integration, and regression tests as a core part of the development workflow.
• Collaborate with senior engineers and Product Managers to align technical solutions with broader platform architecture.
• Manage CI/CD pipelines and apply DevOps best practices for monitoring and effective incident response.

Requirements

• 2–4 years of professional software development experience in a product or enterprise environment.
• Deep hands-on expertise in Java (JVM) and object-oriented design.
• Proven experience building scalable RESTful APIs within cloud environments (AWS, Azure, or GCP).
• Expert knowledge of RDBMS, advanced SQL, and experience with NoSQL databases (e.g., Cassandra, MongoDB).
• Practical experience with Docker and basic familiarity with Kubernetes.
• Exposure to distributed processing technologies such as Apache Spark or Kafka.

Nice to have

• Knowledge of Generative AI, LLMs, and AI-assisted development tools.
• Awareness of Data Lakehouse concepts, such as Iceberg or Delta Lake.
• Experience with data integration, data quality, or metadata management.
• Familiarity with hirify.global products or SaaS ecosystem integration.

Culture & Benefits

• Culture that champions technical excellence and operational rigor.
• Strong emphasis on rapid professional development and career acceleration.
• Opportunity to work on mission-critical platforms handling data at an extreme scale.
• Collaborative engineering environment with mentorship from senior and lead engineers.