Principal, Software Engineer

12+ years of software engineering experience , with significant experience designing and building large-scale distributed systems and backend platforms.

Deep expertise in Java and modern backend technologies such as Spring Boot.

Extensive experience with microservices, distributed systems, API architecture, event-driven systems, and cloud-native architectures .

Strong understanding of distributed computing concepts including scalability, partitioning, consistency, concurrency, fault tolerance, resiliency, and multi-region architectures.

Strong experience with Apache Kafka or comparable distributed messaging and streaming technologies.

Strong working knowledge of Apache Spark, Hadoop ecosystem technologies, distributed data processing, and large-scale data pipelines .

Experience with ETL/ELT, batch and streaming processing, data modeling, data quality, and data platform architecture .

Familiarity with modern Data Lake/Lakehouse architectures and technologies such as Apache Iceberg or Delta Lake is preferred.

Strong understanding of SQL and experience with relational and NoSQL databases, distributed storage, caching, and analytical data platforms.

Experience designing and operating highly available systems on Azure, AWS, or GCP .

Strong experience with Kubernetes, Docker, CI/CD, Infrastructure as Code, observability, and production operations .

Demonstrated ability to optimize large-scale applications and distributed workloads for performance, reliability, scalability, and cost.

Strong understanding of software architecture, design patterns, security, resiliency, and operational excellence.

Proven ability to solve highly complex technical problems spanning multiple systems, platforms, and engineering domains.

Demonstrated ability to influence architecture and technical strategy across multiple teams and organizations without formal authority.

Experience mentoring Staff and Senior Engineers and establishing engineering standards across teams.

Strong written and verbal communication skills, with the ability to communicate complex architectural concepts and trade-offs to engineers, architects, and senior leadership.

Experience integrating AI/ML, MLOps, or GenAI capabilities into enterprise software platforms is a plus.

Demonstrated curiosity, technical depth, and ability to evaluate emerging technologies and translate them into practical engineering solutions.