Principal Engineer

Job Description

This role is for one of the Weekday's clients

Min Experience: 15 years

Location: India

JobType: full-time

We are looking for a highly accomplished Principal Engineer to lead the architecture and design of large-scale, high-performance data platforms. This role requires deep expertise in distributed systems, real-time data processing, and cloud-native infrastructure, along with the ability to influence technical direction and simplify complex engineering challenges into scalable, elegant solutions.

Requirements

Key Responsibilities & Expertise

• Architect and design highly scalable, fault-tolerant data pipelines supporting near real-time and real-time data processing use cases.
• Lead the design of high-throughput, low-latency data services, including gRPC-based streaming systems with advanced performance optimizations.
• Diagnose complex system-level issues and drive root-cause analysis across distributed environments.
• Simplify complex technical problems into robust, maintainable, and efficient system architectures.
• Design and optimize systems using modern serialization formats such as Protocol Buffers and Avro.
• Apply deep knowledge of network protocols (TCP/IP, HTTP/2) and distributed system security, including TLS, authentication, and authorization mechanisms.
• Architect and optimize solutions leveraging distributed object storage systems (e.g., S3, GCS), with strong understanding of their architecture, consistency models, and scalability characteristics.
• Drive performance optimization for analytical data formats such as Parquet and Iceberg, including partitioning strategies, sorting, compression, and read efficiency.
• Collaborate closely with platform, infrastructure, and data teams to build cloud-native data solutions on AWS, GCP, or similar environments.
• Influence engineering best practices, architectural standards, and long-term technical strategy across teams.
• Communicate complex technical concepts clearly to diverse stakeholders, including engineers, product leaders, and executives.
• Work effectively with globally distributed engineering teams across multiple time zones.

Technical Skills

• Expert proficiency in Golang, Java, or similar systems-level programming languages.
• Deep understanding of concurrency, distributed computing, and performance optimization.
• Strong experience with gRPC, streaming architectures, and real-time systems.
• Hands-on expertise in distributed data storage and cloud-native architectures.

Skills

Principal Engineering · Distributed Systems · Data Architecture · Golang · Java · gRPC · Cloud Infrastructure · Data Storage · System Design