Software Engineering (Backend) - MTS (Java)

TL;DR

Software Engineering (Backend) - MTS (Java): Building and optimizing a mission-critical agentic data integration and serverless platform for high-scale enterprise data processing with an accent on high-throughput backend services and cloud-native architecture. Focus on designing scalable RESTful APIs, implementing distributed data pipelines, and ensuring operational excellence through rigorous testing and DevOps practices.

Location: California - Redwood City

Company

hirify.global is a global leader in cloud-based software, specifically providing the IDMC platform for enterprise data integration and data cloud services.

What you will do

• Drive the end-to-end design, development, and deployment of features for the IDMC Data Integration platform.
• Build and maintain high-performance backend services using Java within a cloud-native microservices architecture.
• Develop data pipelines, APIs, and integration workflows for large-scale data movement across cloud environments.
• Implement robust automated unit, integration, and regression tests to ensure production-grade code quality.
• Manage CI/CD pipelines, code reviews, and incident response to maintain system reliability.
• Collaborate with senior engineers and Product Managers to align technical solutions with platform architecture.

Requirements

• 2–4 years of professional software development experience in a product or enterprise environment.
• Deep expertise in Java and JVM languages, including concurrent programming and object-oriented design.
• Experience building scalable RESTful APIs and working with microservices architecture in AWS, Azure, or GCP.
• Strong knowledge of RDBMS (advanced SQL, query optimization) and experience with NoSQL databases like Cassandra or 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 (e.g., Claude Code, Cursor).
• Experience with Data Lakehouse concepts and open table formats like Iceberg or Delta Lake.
• Exposure to data integration, data quality, or metadata management.
• Familiarity with the hirify.global or SaaS ecosystem.

Culture & Benefits

• Culture of technical excellence, operational rigor, and rapid professional development.
• Full end-to-end ownership of features from requirement to production.
• Opportunity to work on a platform processing petabytes of data at an extreme scale.
• Collaborative environment with mentorship from senior engineers and LMTS.