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Redpanda DataRedpanda DataCalifornia

Sr. Engineering Manager, Cloud

Leads Cloud engineering team building Redpanda's BYOC, Serverless, and Agentic Data Plane products. Manages delivery, operations, hiring, and coaching with 7+ years engineering and 3+ years management experience in cloud infrastructure.

230k – 285k/yr
Remote7+ YOEEngineering Management

About the role

Responsibilities

  • Lead and manage a team of engineers working on Redpanda Cloud, including Agentic Data Plane efforts
  • Own end-to-end delivery for your team's roadmap: scoping, prioritisation, execution, and on-time, high-quality launches
  • Maintain a high bar for operational excellence, including incident response, on-call health, SLOs, and day-2 operations
  • Provide regular career development, coaching, and performance feedback that helps engineers level up
  • Hire, onboard, and retain top-tier engineers; participate actively in interview loops and calibrations
  • Partner with Product Management to shape the team's roadmap and translate product priorities into clear engineering plans
  • Surface risks, dependencies, and trade-offs early
  • Be data driven to identify what's working and where to invest
  • Collaborate with the Customer Success and Solutions Engineering to unblock customers and prioritise our roadmap

Requirements

  • 7+ years of experience in software engineering, including building and operating enterprise-grade SaaS platforms
  • 3+ years of experience managing highly technical engineering teams, with a track record of delivery
  • Expertise in cloud infrastructure and operations, with hands-on experience in public clouds (AWS/GCP/Azure), Kubernetes, and distributed systems
  • Familiarity with agentic AI processes, and AI-assisted software development lifecycles
  • Experience translating product priorities into team plans and delivering predictably against them
  • Eagerness to thrive in a fast growing, dynamic environment and comfortable working remotely with a distributed team
  • Strong verbal and written communication skills and demonstrated technical leadership
  • A strong sense of empathy for both customers and teammates, and a commitment to building high-trust teams

Nice to Have

  • Golang proficiency or recent hands-on technical experience
  • Expertise in Linux systems used to run and operate production-grade services
  • Hands-on experience with data streaming platforms, AI/ML infrastructure, databases, or distributed storage systems at scale
  • Experience enabling teams to adopt AI code generation tools in ways that measurably improve velocity while maintaining quality

Compensation

U.S. base salary range for this role is $240,000 - $285,000 (CA, NY, WA) and $230,000 - $270,000 (other US locations).

Skills

KubernetesAWSGCPAzureDistributed SystemsGoLinuxAI/MLSaaS PlatformsSLOs
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