Software Engineer (C++, Distributed Systems)

Cohesity•Santa Clara, CA

1d•$124,000 - $155,000•Hybrid

About The Position

Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite 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. Please note the following requirements for this position: Current residency in the SF Bay Area Willingness to work onsite in Santa Clara, CA in a hybrid arrangement (3 days per week in office) Deep understanding of large-scale distributed systems Experience with AWS, GCP, or Azure cloud platforms Strong knowledge of DS concepts like multithreading, concurrency, throughput, latency and parallel processing Proficiency coding in C++ (highly preferred), Java, or Go 2+ years of software development experience OR M.S. in Computer Science Want to help us simplify the world of data management? Cohesity offers a web-scale, hybrid cloud infrastructure for next-gen data management as a service. We are looking for a Back-End Software Engineer who is motivated and passionate about working on features, tools, and scripts that will improve the ability to sell, deploy and maintain Cohesity products. Our Software Engineers not only design and implement features but also diagnose problems in large bodies of sophisticated code, understand scalability and performance, and work on fixes with a rapid turnaround time and emphasis on high quality. We need experienced and outstanding engineers who strive to build high-quality distributed systems and solve complex problems. This is an outstanding opportunity to join our Cohesity team in a period of fast growth and expansion. If you are interested in working in an environment where you can make an impact toward the future of cloud-based data management solutions, then Cohesity is the place for you.

Requirements

2 years of software engineering experience in the distributed systems space
Strong coding experience in any of these languages - C++, Python / Java / Go
Comfortable in using tools - JIRA, Github, Testrail
BS/MS in Computer Science or Engineering
Developing and troubleshooting large scale distributed systems written in C++,Python / Go / Java on Linux and Windows Platforms.
Strong coding, analytical, debugging and troubleshooting skills including use of tools such GDB, Python Debugger.
Problem-solver who can dive deep to solve complex problems/issues.
Bring good testing methodologies and passion for building quality products
Knowledge of Microservices and SaaS architecture
Looking for great communication skills.

Nice To Haves

Exposure to Data Management domain is highly desirable
Ability to articulate design and implementation choices
Ability to make decisions based on data and influence stakeholders

Responsibilities

Own & develop designs for complete feature set
Engage in technical discussions with stakeholders -- Engineers, Architects, Product Managers and Designers
Fine tune backlog and adjust scope/plans to deliver committed features
Own deliverables by clearly communicating the scope, timelines and following through commitments
Continuously assess risks and make decisions based on metrics
Code and Implement features requested by Product Management and/or Customers for on-prem and cloud platforms
Perform in-depth root cause analysis, implement code fixes to resolve product defects
Deep dive into analyzing, troubleshooting and fixing functional and Performance issues
Collaborate with team members, support, QA and field teams to diagnose and troubleshoot complex customer issues and orchestrate development and testing of patches & hot-fixes
Design and implement tools to help support engineers diagnose problems thereby reducing time to resolution