Staff Software Engineer - Open Source Data Platform (ODP)

We are seeking a Staff Engineer with at least 9 years of experience in distributed systems or data platform development. In this role, you will be a technical leader responsible for architecting and driving the technical direction of critical components within the Acceldata Open Data Platform (ODP). You will work on solving the most challenging distributed systems problems, contribute to open-source communities, and mentor senior engineers while shaping the future of large-scale data infrastructure.   You'll lead high-impact initiatives that directly influence how petabyte-scale data is managed, observed, and optimized across hybrid and cloud ecosystems. You'll collaborate with industry experts, Apache committers, and seasoned engineers who share your passion for distributed systems and open-source innovation.

- Own the end-to-end architecture of major platform components, driving design decisions that impact scalability, reliability, and performance.

- Architect and implement next-generation distributed data storage, processing, and query optimization systems.

- Partner with product, engineering leadership, and stakeholders to define technical roadmaps and translate business requirements into scalable solutions.

- Lead contributions to Apache projects and open-source communities, establishing Acceldata's presence and technical reputation.

- Identify and resolve complex performance bottlenecks across distributed systems, optimizing for cost, latency, and throughput.

- Mentor and guide Senior Software Engineers, fostering technical excellence and a culture of continuous learning.

- Establish and enforce coding standards, perform thorough code reviews, and ensure architectural consistency across the platform.

- Evaluate and recommend emerging technologies, tools, and frameworks that align with platform goals.

- Lead root cause analysis for critical production issues and drive systemic improvements to prevent recurrence.

- Work across diverse environments: Bare Metals, VM, Kubernetes, and multi-cloud architectures.