Principal Engineer
20 hours ago
We are looking for a hands-on Principal Engineer with a strong background in system design and architecture, coupled with excellent coding skills. The ideal candidate will be proficient in Java (specifically in distributed architectures without reliance on Spring Boot or microservices frameworks) or have solid experience in C or C++. Experience with Big Data technologies such as Apache Spark, Hadoop, and Trino will be highly valued.
As a Principal Engineer, you will play a critical role in architecting scalable and performant distributed systems and will be expected to actively contribute to the codebase, leading by example.
Role & responsibilities
- Design and architect scalable, high-performance distributed systems from the ground up.
- Develop, optimize, and maintain core components and systems primarily in Java and C/C++.
- Deliver clean, efficient, and high-quality code; act as a hands-on contributor in all phases of the software development lifecycle.
- Collaborate cross-functionally with product managers, architects, QA, and operations teams to deliver robust solutions.
- Provide technical leadership and mentorship to engineering teams, fostering best practices in coding, design, and system architecture.
- Drive technical innovation and propose improvements for existing systems to enhance performance and scalability.
- Work with Big Data platforms like Apache Spark, Hadoop, and Trino to integrate and optimize data processing workflows.
- Participate actively in code reviews and ensure adherence to coding standards and quality benchmarks.
Preferred candidate profile
- Bachelors or Masters degree in Computer Science, Engineering, or related discipline.
- 7 to 12 years of professional software engineering experience.
- Strong expertise in system design and architecture of distributed systems.
- Proficient in Java with in-depth knowledge of distributed system design [Memory Management, Multithreading , Design patterns ] or Solid programming skills in C or C++.
- Proven hands-on engineering experience with strong coding capabilities; ability to write production-quality code.
- Familiarity with Big Data technologies such as Apache Spark, Hadoop, and Trino is a plus.
- Strong understanding of concurrency
- Excellent problem-solving skills and analytical mindset.
Effective communication skills, both verbal and written, with the ability to influence technical decisions
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