Cohesity is the leader in AI-powered data security. Over 13,600 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 company’s 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.
We’ve 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?
We are seeking a Senior Staff Technical Leader to drive the architecture, design, and delivery of highly reliable, scalable distributed systems at Cohesity. This role requires deep technical expertise, strong architectural judgment, and the ability to influence engineering direction across multiple teams while remaining hands-on with complex technical problems.
You will own critical subsystems and platform capabilities that directly impact product scalability, operability, and customer experience across on-prem and cloud deployments. Beyond feature development, you will lead cross-functional efforts to improve system reliability, performance, and diagnosability, and act as a senior technical authority during high-severity customer and production incidents.
As part of the Product and Sustenance Engineering organization, you will partner closely with Product Management, Architecture, Customer Support, Field Engineering, and Customers, driving technical strategy while mentoring senior engineers and raising the overall engineering bar across the organization.
How You’ll Spend Your Time Here
Technical Leadership & Strategic Ownership
- Act as a technical authority for one or more major product areas or platform components
- Drive long-term technical vision and architecture, aligning system design with business and product strategy
- Influence technical direction across teams through design leadership, technical reviews, and mentorship
- Serve as the final escalation point for complex production and customer issues
Architecture & System Design
- Own and evolve distributed system architectures with a strong focus on scalability, availability, performance, and security
- Lead design of systems deployed across Kubernetes-based platforms, on-prem environments, and public clouds
- Make data-driven architectural trade-offs across compute, storage, networking, and orchestration layers
- Review and approve designs for critical initiatives, ensuring alignment with platform standards and best practices
Execution & Delivery Excellence
- Own end-to-end delivery of large, cross-team initiatives including scope definition, sequencing, and risk management
- Own end-to-end delivery of large, cross-team initiatives including scope definition, sequencing, and risk management
- Partner with Product Management to shape roadmaps, refine backlogs, and balance short-term delivery with long-term platform health
- Proactively identify technical debt, reliability gaps, and scalability risks, and drive execution of mitigation plans
Hands-on Engineering & Deep Problem Solving
- Design and implement complex features and infrastructure-level improvements across on-prem and cloud deployments
- Perform deep root-cause analysis of complex functional, performance, and networking-related issues
- Lead debugging efforts involving distributed systems, containerized workloads, networking stacks, and storage subsystems
- Drive development and validation of patches, hot-fixes, and emergency releases in collaboration with QA and Field teams
Mentorship, Influence & Collaboration
- Mentor senior and staff engineers on system design, debugging techniques, and engineering best practices
- Raise the bar for code quality, testing, observability, and operational excellence
- Collaborate effectively with globally distributed teams, influencing without authority through technical credibility
WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING
- BS/MS in Computer Science, Engineering, or equivalent practical experience
- 15+ years of experience designing, building, and operating large-scale distributed systems
- Strong hands-on coding experience in one or more of: C, C++, Go, Python
- Deep expertise in Linux-based systems and production debugging in complex environments
- Advanced debugging and troubleshooting skills using tools such as GDB, Python debuggers, profilers, logs, and metrics
- Strong understanding of microservices and SaaS architectures
Kubernetes & Cloud-Native Systems
- Strong experience designing and operating systems on Kubernetes
- Deep understanding of container orchestration, service discovery, configuration management, and workload scheduling
- Experience debugging issues related to pod lifecycle, resource contention, networking, and storage in Kubernetes environments
Networking & Distributed Systems
- Solid understanding of networking fundamentals: TCP/IP, DNS, load balancing, proxies, TLS, and service networking
- Experience diagnosing and resolving distributed networking issues across containers, VMs, and physical hosts
- Familiarity with cloud networking concepts (VPCs, subnets, security groups, ingress/egress, service meshes is a plus)
Additional Skills
- Strong grasp of testing methodologies, reliability engineering, and production readiness practices
- Proven ability to articulate architectural decisions, evaluate trade-offs, and influence stakeholders using data
- Excellent communication skills across technical and non-technical audiences
- Experience working in Agile/Scrum development environments
Preferred
- Experience in data management, storage, backup/recovery, or infrastructure platforms
- Track record of leading cross-team, multi-quarter initiatives
- Experience building systems with stringent availability, performance, and security requirements
- Demonstrated experience leveraging AI tools to streamline workflows, enhance productivity, and support high-quality decision-making
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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*
talent@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.
