
Software Engineer
1 week ago
Company : Zettabolt
Experience : 1 - 3 Years
Category : Software & Web Development
Employment Type : Full Time
About the Role
We are seeking talented software engineers to build automation tools for GenAI, Big Data, and Electronic Chip Design from the ground up. This role focuses on advanced programming, scalable architectures, and cloud-native deployments (AWS, Azure, GCP).
Key Responsibilities :
- Develop scalable, high-performance tools using C++, Java, or Scala.
- Apply data structures, algorithms, and design patterns to solve real-world engineering problems.
- Debug, test, and document code efficiently.
- Optimize memory usage and system performance.
- Collaborate with cross-functional teams for end-to-end solution delivery.
- Innovate and contribute to cloud-based and AI-powered solutions.
Required Qualifications :
- B.Tech/M.Tech in Computer Science or Electronics Engineering.
- 1 - 3 years of experience in C++, Java, or Scala.
- Strong grasp of data structures, algorithms, and design principles.
- Experience on Linux systems.
- Solid knowledge of performance tuning and memory management.
Bonus : Familiarity with AI/ML, Big Data, or SQL.
Perks & Benefits :
- Health and life insurance.
- Sponsored trips to developer conferences & client sites.
- Reimbursements for books, certifications, and courses.
- Regular training sessions on algorithms, GenAI, ML, and Big Data.
Roles and Responsibilities :
Design and Develop Automation Tools :
- Build software tools from scratch for GenAI, Big Data, and Electronic Chip Design use cases, ensuring robust architecture and scalability.
Core Programming & Algorithm Implementation :
- Write high-quality code in C++/Java/Scala focused on performance, memory efficiency, and algorithmic accuracy.
Optimize Software Performance :
- Apply optimization techniques for performance tuning, CPU/memory management, and fast data processing.
Debugging and Testing :
- Identify, analyze, and fix bugs. Write unit and integration tests to ensure high reliability and maintainability.
Work in Linux Environments :
- Develop and troubleshoot applications on Linux-based platforms, utilizing shell scripting and Linux utilities.
Collaborate Cross-functionally :
- Work closely with engineering, research, and cloud teams to gather requirements, design solutions, and deliver features.
Implement Advanced Data Structures :
- Use appropriate data structures and design patterns for building scalable and maintainable systems.
Cloud Integration :
- Deploy and manage solutions on cloud platforms like AWS, Azure, or Google Cloud Platform.
Documentation and Code Review :
- Maintain detailed technical documentation and participate in code reviews to uphold coding standards.
Continuous Learning & Innovation :
- Stay updated with emerging technologies in AI/ML, Big Data, and Cloud Computing, and apply them where beneficial.
(ref:hirist.tech)
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