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.
About the job
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
Kubernetes, AWS, GCP, Azure, Distributed Systems, Go, Linux, AI/ML, SaaS Platforms, SLOs
Similar jobs
Engineering Management jobs
Skydio
San Mateo, CA
Leads and develops a software engineering team building middleware and on-device services for autonomous drone platforms. The role combines people management with hands-on Python or C++ development, systems architecture, reliability improvements, and cross-functional technical leadership.
Vercel
San Francisco, CAHands-on engineering team lead building and evolving Next.js while coaching a small team and setting technical direction. Requires 8+ years of software engineering experience, strong React or framework architecture expertise, and continued production coding experience.
Crusoe
Bellevue, WALeads the deployment organization responsible for bringing global HPC and GPU infrastructure online, owning people, delivery, standards, vendors, and executive-level program risk. Requires 10+ years in network engineering or data center deployment and substantial engineering management experience.
OpusClip
Burnaby, Canada
Leads the Burnaby engineering organization, owning delivery, technical quality, talent development, and high-performance culture across growth, enterprise, infrastructure, and data-sensitive systems. Requires 8+ years of software experience, 3+ years managing engineers, strong architecture skills, and startup experience.
Genius AI
San Francisco, CA
Leads Compute, Data, and Developer Experience teams, owning infrastructure strategy, reliability, developer enablement, vendor spend, and team growth. The role requires 8+ years of infrastructure or platform experience, 4+ years of engineering leadership, and deep expertise in AWS, Kubernetes, Terraform, ArgoCD, and observability.