Sr Staff Software Engineer

We strongly prefer candidates who are currently located in or near the designated job location. Candidates outside the area should apply only if they are committed to relocating prior to their start date and have the legal right to work in the job location. Cohesity is a leader in AI-powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI-based threat detection, monitoring for malicious behavior, and rapid recovery at scale. We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design. Join us on our mission to shape the future of our industry. We are seeking an outstanding Engineer who brings the experience of building LARGE distributed systems and solving sophisticated problems. Cohesity Data Platform is a limitless scale out system. It is the industry’s only hyperconverged platform crafted to consolidate ALL secondary storage and data services built on web-scale distributed architecture. Cohesity SpanFS was built to consolidate all secondary storage and eliminate legacy storage silos. It’s the only file system that combines NFS, SMB and S3 interfaces, global deduplication, and unlimited snaps and clones, on a web-scale platform. No more compromising between enterprise and cloud stacks! There will be a large variety of features to work on including: hyper-convergence, distributed data path, distributed filesystem, data across thousands of nodes, object storage, cloud services, asynchronous programming, performance optimization, software-defined infrastructure, consensus protocols, massively parallel and distributed data sets, infinite scalability, snapshots, resiliency, deduplication, compression, replication, multiple protocols, fault-tolerance, infrastructure and more that we cannot disclose yet. HOW YOU'LL SPEND YOUR TIME HERE: Design, develop, and maintain innovative capabilities across both on-premises and SaaS offerings. Partner closely with Product Management and cross-functional engineering teams to define technical strategy and influence the long-term product roadmap. Architect and implement scalable features for both cloud and on-prem environments. Champion engineering excellence through test-driven development, code quality, reliability, and operational best practices. Drive the delivery of resilient, enterprise-grade solutions that meet demanding scalability and performance requirements. Foster a culture of ownership, accountability, and continuous improvement across the team. Participate in Agile development processes and contribute to technical leadership across the organization. We'd Love to Talk to You If You Have Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field. 12+ years of experience designing, developing, and troubleshooting large-scale distributed systems. Strong software development experience in C++ and/or Go. Deep understanding of distributed systems, scalability, reliability, and performance optimization. Experience with data protection, storage systems, filesystems, or related infrastructure technologies is a plus. Experience building cloud-native applications, SaaS platforms, microservices, or distributed infrastructure. Hands-on experience with AI-assisted development tools such as Cursor, Claude, or GitHub Copilot. Strong analytical, debugging, and problem-solving skills, with the ability to navigate complex technical challenges. A self-starter mindset with the ability to learn quickly and thrive in fast-paced environments. Passion for software quality, testing methodologies, and engineering best practices. Familiarity with Agile and Scrum development