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LeadFull-timePythonJavaRustRailsAWSGCPAzureKubernetesDockerMicroservices
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Rubrik Cloud Native Protection team helps customers secure their data on the cloud. As a Staff Software Engineer, you will play a key role as a technical leader, driving architectural decisions and delivering highly scalable distributed services.
Key Responsibilities
- →Lead the design and development of cloud-native services for backup, recovery, and security of workloads
- →Own and drive end-to-end initiatives from architecture to production deployment and scale
- →Collaborate with Product Management and Architecture teams to define and evolve the technical roadmap
- →Guide engineers on best practices for distributed systems, scalability, and resiliency in cloud environments
- →Evaluate new technologies, design patterns, and frameworks to continuously improve system performance and reliability
- →Mentor and coach engineers, raising the technical bar for the entire team
- →Troubleshoot complex customer issues across cloud and hybrid deployments
- →Champion automation, CI/CD pipelines, and cloud-native observability for high-quality releases
Requirements
- ✓Bachelor’s/Master’s in Computer Science or equivalent with strong problem-solving skills
- ✓11+ years of experience in building large-scale, distributed enterprise or cloud-native software
- ✓Strong fundamentals in distributed systems, and cloud-native design
- ✓Deep expertise in programming languages such as Java, Go, or Python
- ✓Hands-on experience with public cloud platforms (AWS, Azure, GCP) and their native services
- ✓Solid understanding of Kubernetes, Docker, microservices, and event-driven architectures
- ✓Proven track record of leading technical design/architecture discussions and shipping scalable, resilient systems
- ✓Experience mentoring engineers and driving cross-team technical initiatives
- ✓Exposure to storage, backup/recovery, security, or observability systems is a strong plus
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