Senior Staff Software Engineer C++, Linux, Kubernetes

We are seeking aSenior StaffTechnical Leader to drive the architecture design and delivery ofhighly reliable scalable distributed systems at Cohesity. This role requires deep technicalexpertise strong architectural judgment and the ability to influence engineering direction across multiple teams whileremaininghands-on with complex technical problems.

You will own critical subsystems and platform capabilities that directlyimpactproduct 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 YOULL 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

• Proactivelyidentifytechnical 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

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

• BS/MS in Computer Science Engineering or equivalent practical experience

• 15yearsof experience designing building andoperatinglarge-scale distributed systems

• Strong hands-on coding experience in one or more of: C C GoPython

• Deepexpertisein 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 recordof 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