Summary
✨ AI‑Generated
A senior software engineering opportunity at a technology organization focused on protecting and managing data across modern infrastructure. You will contribute to security, threat detection, backup, recovery, and cloud-oriented capabilities in an environment emphasizing innovation and technical impact.
Highlights
Work on advanced data security and management technology, contribute to important cybersecurity capabilities, and join a recognized organization with a strong focus on innovation and technical excellence.
Description
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.
Please note the following requirements for this position:
Must currently reside within commute radius of Santa Clara, CAWillingness to work onsite at Santa Clara 2 days per week (Hybrid)Expertise coding in C++ (or Java or Go)Expertise in large-scale distributed systems and system design Proficiency in filesystems and/or storage protocols and concepts
We are seeking a highly skilled and motivated engineer to design, develop, and deliver next-generation, cloud-native SaaS products.
This individual will play a pivotal role in building large-scale distributed data platforms and high-performance services that power our modern data ecosystem.
The ideal candidate is passionate about designing for scale, reliability, and operational excellence in a multi-cloud environment
HOW YOU'LL SPEND YOUR TIME HERE:
Build and deliver next-generation products designed to run efficiently as Software-as-a-Service (SaaS) on leading public cloud platforms (AWS, Azure, and GCP)Architect and implement large-scale distributed data systems that are optimized for performance, scalability, reliability, and resilience to meet enterprise-grade requirementsDesign and operationalize high-performance microservices and data pipelines, ensuring end-to-end system health, scalability, and fault tolerance.Efficiently collaborating with product management, other cross-functional leads and teams on both technical and business strategies to improve and build the future product roadmap for Cohesity’s infinitely scalable platform.Drive accountability for test-driven development, delivery of high-quality features and resilient enterprise-class solutionsLead a culture of team ownership and direct individual and team accountability to improve how they work and achieve results continuously.Participating in Agile development processes.
WE'D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING:
BS/MS/PhD in Computer Science with strong competencies in data structures, algorithms, and software design7+ years of back-end software development experienceExpert-level programming and debugging skills in C++, GoProven expertise in building cloud-native, distributed systems on AWS, Azure, or GCPUnderstanding of multithreading, concurrency, and parallel processingStrong knowledge of system performance and scalingFamiliarity with AWS ecosytem - S3, SQS, AWS data protection servicesProven skills to solve complex problems.
Experience with debugging and diagnosing production software.Ability to drive tasks to completion and take ownership of projectsAbility to work in a fast-paced and agile development environmentPossess excellent communication and sharp analytical abilitiesDemonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.
Disclosure Pursuant to Applicable State Equal Pay Transparency Laws - This position has a starting pay range as listed below.
Actual salary depends upon many factors, including a candidate’s skills, qualifications and experience, location, and salary expectations, and therefore a starting salary at the low end, high end, or even above the stated range may be offered.
This position may also be eligible for bonus compensation, commission (if in a sales function), and/or equity grants.
Additionally, full-time employees are eligible to participate in our comprehensive benefits framework, including health and wellness benefits, vacation, paid holidays and refresh days, 401(k) retirement plan, life and disability insurance coverages, and other benefits the Company may offer from time to time.
Pay Range :
$180,000.00-$200,000.00
The compensation noted above is based on an annualized hourly rate assuming normal full-time employment.
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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 at 1-855-9COHESITY or recruiting@cohesity.com 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.