Staff Software Engineer

Cohesity


Job Location:

Pune - India

Monthly Salary: Not Disclosed
Posted on: 3 hours ago
Vacancies: 1 Vacancy

Job Summary

Cohesity is the leader in AI-powered data security. Over 13600 enterprise customers including over 85 of the Fortune 100 and nearly 70% of the Global 500 rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas enterprise data protection business the companys solutions secure and protect data on-premises in the cloud and at the edge. Backed by NVIDIA IBM HPE Cisco AWS Google Cloud and others Cohesity is headquartered in Santa Clara CA with offices around the globe.

Weve been named a Leader by multiple analyst firms and have been globally recognized for Innovation Product Strength and Simplicity in Design and
our culture.

Want to join the leader in AI-powered data security

As an Performance Engineering Lead you will architect and drive the development of generic extensible infrastructure solutions for all datapath squads. Your primary focus will be to benchmark and analyze the performance of existing algorithms and systems propose alternatives and ensure the infrastructure is scalable resilient and adaptable to evolving needs.

HOW YOULL SPEND YOUR TIME HERE:

  • Lead the design and implementation of extensible benchmarking infrastructure for distributed systems supporting multiple protocols and storage backends.

  • Collaborate with datapath squads to identify performance bottlenecks optimize system throughput and evaluate alternative algorithms and architectures.

  • Develop tools and frameworks for automated performance testing profiling and regression analysis across thousands of nodes.

  • Ensure infrastructure supports hyper-convergence distributed data paths and web-scale architectures including NAS object storage and cloud services.

  • Drive consensus protocols asynchronous programming and performance optimization initiatives.

  • Represent operational issues to senior leadership providing deep technical insights and actionable recommendations.

  • Mentor and coach engineers fostering a culture of quality ownership and continuous improvement.

WED LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:

  • Minimum 10 years of experience in infrastructure and back-end development with a strong track record in large-scale distributed systems.

  • BS/MS/PhD in Computer Science or related field with expertise in data structures algorithms and software design.

  • Expert-level programming and debugging skills in C C Go. Expertise in profiling optimization memory management concurrency primitives (locks atomics thread pools async I/O patterns) is an add-on

  • Deep understanding of system performance scaling multithreading concurrency and parallel processing.

  • Experience with NAS protocols (SMB CIFS NFS S3) replication disaster recovery and distributed filesystems.

  • Proven ability to solve complex problems debug production software and drive tasks to completion.

  • Strong communication and analytical skills with experience in technical feedback and code reviews.

  • Ability to build and lead successful technical teams coaching and mentoring individuals.

  • Demonstrated experience leveraging AI tools to streamline workflows enhance productivity and support high-quality decision-making.


Preferred Skills

  • Minimum 3 years focused on performance engineering systems optimization or infrastructure for data-intensive systems.

  • Experience with RocksDB or similar LSM-tree based storage engines tuning benchmarking write amplification analysis.

  • Familiarity with Protocol Buffers and RPC frameworks understanding RPC latency profiling serialization overhead and async call flow optimization.

  • Experience with Prometheus Grafana or similar observability stacks for performance monitoring and dashboarding.

  • Background in file system internals (VFS FUSE NFS/SMB protocols) or block storage systems.

  • Experience with Google Test / Google Benchmark frameworks for C micro benchmarking.

  • Familiarity with containerized or clustered test environments (Ansible Jenkins distributed test orchestration).

  • Experience with Python for performance analysis tooling data visualization or automation scripts.

  • Background in network performance TCP tuning RDMA kernel bypass techniques.

  • Publications talks or recognized contributions in the performance engineering community.

  • Proven track record of building benchmark infrastructure and regression detection systems at scale including statistical methods for detecting regressions (t-tests change-point detection noise filtering).

  • Familiarity with object storage cloud services and software-defined infrastructure.

  • Experience in benchmarking profiling and performance engineering for massively parallel and distributed data sets.

  • Knowledge of consensus protocols and fault-tolerance mechanisms.

Opportunities

  • Shape the technical trajectory of the company by delivering scalable high-performance infrastructure.

  • Work on industry-leading hyperconverged platforms and limitless scale-out systems.

  • Collaborate across teams to deliver impactful solutions and drive quality via code reviews and operational excellence.

This role is ideal for a senior engineers who thrives in fast-paced agile environments and is passionate about building robust scalable infrastructure for benchmarking and performance optimization across diverse storage and data services

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Equal Employment Opportunity Employer (EEOE)

Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying you may contact us atCOHESITY or
for assistance.

In-Office Expectations

Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

Interested candidates based outside of the designated areas are welcome to apply provided they have the right to work in the job location.


Required Experience:

Staff IC

Cohesity is the leader in AI-powered data security. Over 13600 enterprise customers including over 85 of the Fortune 100 and nearly 70% of the Global 500 rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Co...

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Cohesity gives you both data security and data management. Defend against ransomware with immutable backup, AI-based early threat detection, and rapid data recovery.

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