Senior Software Engineer II - Backend Architecture

Role Overview :

We are looking for a Senior Software Engineer II to join our Enterprise Analytics engineering team and contribute to the development of next-generation distributed database technologies.

In this role, you will design, build, and optimize core database components that power scalable, cloud-native analytics platforms.

You'll work on critical areas such as query processing, execution engines, distributed storage, and database performance while collaborating with cross-functional teams to deliver enterprise-grade analytics solutions.

This position is ideal for engineers passionate about distributed systems, database internals, and building high-performance software infrastructure.

Key Responsibilities :

1. Core Database Engineering :

- Design, develop, and enhance core distributed database components and analytics capabilities.

- Build scalable, reliable, and high-performance systems that support modern cloud-native data analytics.

- Contribute to database architecture across query processing, execution runtime, storage engines, and optimization layers.

2. Distributed Systems Development :

- Develop distributed services focused on scalability, fault tolerance, and performance.

- Improve query execution, storage efficiency, concurrency, and system reliability.

- Optimize database performance for enterprise-scale workloads.

3. Engineering Excellence :

- Write clean, maintainable, and production-quality code following modern software engineering practices.

- Participate in architecture discussions, code reviews, testing, and continuous integration.

- Take end-to-end ownership of technical deliverables from design through production deployment.

4. Cross-functional Collaboration :

- Work closely with Product Management, QA, Performance Engineering, and Customer Success teams.

- Collaborate across engineering teams to deliver innovative analytics capabilities.

- Contribute to feature planning, technical design, and product roadmap execution.

5. AI-assisted Development :

- Leverage AI-assisted development tools to improve engineering productivity and software quality.

- Adopt modern engineering workflows and best practices to accelerate development while maintaining high code quality.

Required Qualifications :

- Bachelor's or Master's degree in Computer Science or a related technical discipline.

- 5 to 7 years of software development experience building enterprise systems or database technologies.

- Strong understanding of distributed systems and database internals.

- Solid knowledge of operating systems, networking, and systems programming.

- Experience with multi-threading, concurrent programming, and performance optimization.

- Strong proficiency in Java.

- Experience with one or more public cloud platforms such as AWS, Azure, or Google Cloud.

- Strong problem-solving skills with the ability to design scalable software systems.

Preferred Qualifications :

- PhD in Computer Science or related field.

- Experience with Golang or Python.

- Experience building JDBC or ODBC drivers.

- Knowledge of data lake technologies such as Apache Iceberg or Apache Hudi.

- Experience developing distributed databases, query engines, or analytics platforms.

- Familiarity with cloud-native database architectures.

Key Skills :

- Java, Distributed Systems, Database Internals, Query Processing, Query Optimization, Database Engine Development, Distributed Databases, Cloud Computing (AWS, Azure, GCP), Multi-threading, Concurrent Programming, Systems Programming, Performance Optimization, Data Structures & Algorithms, Operating Systems, Networking, Backend Development, Golang (Preferred), Python (Preferred), JDBC / ODBC, Apache Iceberg, Apache Hudi, Cloud-native Applications, Microservices, Software Design, Object-Oriented Programming (OOP), CI/CD, AI-assisted Development, Software Engineering Best Practices.

(ref:hirist.tech)