Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Lead architecture and hands-on implementation of control plane services and Kubernetes integrations for Cloud Infrastructure and Services. Deliver secure APIs and resilient resource-management workflows for on-premises environments, and guide engineering practices that improve service reliability and developer productivity.
Disclaimer:Define customer-facing and internal management APIs, including security boundaries, lifecycle behavior, compatibility and integration contracts.
Design resilient metering and resource-consumption reporting that tolerates outages, supports asynchronous recovery and preserves usage correctness.
Lead resource reclamation, storage-consumption tracking, disaster recovery and cross-datacenter peering integrations with product and operations teams.
Architect Kubernetes as a Service for constrained enterprise environments with proxy, bastion, firewall, high-availability and operational requirements.
Develop ZFS Storage Appliance CSI integrations and promote reviewed AI-assisted engineering workflows through practical implementation and team training.
Own design documentation, code reviews and functional, integration and failure testing; improve observability, secure development and lifecycle compatibility.
Partner with support, operations, security and engineering teams to resolve customer issues, document recovery procedures and prevent recurrence.
Experience architecting cloud control planes, distributed services and secure REST or HTTP APIs.
Strong software development skills in Java, Python, Go or comparable languages, with hands-on Kubernetes and storage integration.
Understanding of asynchronous recovery, metering correctness, resource lifecycle management and enterprise network constraints.
Ability to lead technical decisions, implement critical components and mentor engineers across product and operations boundaries.
Demonstrated delivery of complex infrastructure initiatives, clear technical communication and effective collaboration across distributed teams.
Relevant education in computer science, engineering or a related discipline, or equivalent practical experience.
Cloud Infrastructure and Services architecture, Kubernetes CSI development, ZFSSA management, OCI integrations, MCP tooling and engineering education or enablement.
Core ResponsibilitiesPlan and execute complex engineering work with clear milestones, dependency management and timely risk escalation.
Mentor engineers, contribute to interviews and technical reviews, and share practical knowledge across teams.
Use customer feedback, operational data and continuous learning to improve design quality, delivery efficiency and supportability.
Deliver resilient API and usage workflows with tested outage and recovery semantics.
Improve Kubernetes and storage integration usability while reducing manual operational work.
Problem Solving:
Leads specialized, advanced problem-solving efforts, serving as an escalation point for complex issues.
Guides others to leverage innovative data-driven techniques to address ambiguous or novel issues, identify root causes, and drives the implementation of solutions that prevent future issues.
Continuous Learning:
Leverages deep industry knowledge and expertise to serve as a thought leader within the organization.
Contributes to the advancement of the field or industry through thought leadership (e.g., conference presentations, white papers, research contributions).
Maintains and evolves expertise in relevant areas by proactively monitoring emerging trends, technologies, and industry standards, ensuring the organization remains current with best practices.
Champions continuous learning and knowledge sharing, promoting professional development across teams.
Applies new knowledge to drive advancement and mentors others to do the same.
Continuous Improvement:
Develops innovative solutions and drives the implementation of ideas that increase the efficiency and effectiveness of processes, protocols, and workflows across the organization.
Evaluates effectiveness of updated approaches and methods for continued improvement to enhance efficiencies and ensure changes align with organizational goals.
Designs and develops metrics to measure success of improvement initiatives.
Performance and Development:
Serves as a subject matter expert regarding talent needs and organizational talent strategy.