Sr. Engineering Manager, Cloud
We are looking for an accomplished and forward-thinking Senior Engineering Manager to lead one of our Cloud engineering teams. Reporting to the Director of Cloud Engineering, you will own the day-to-day delivery, quality, and operational excellence of your team's areas, and coach the engineers on your team to . You’ll partner closely with Product, peer engineering leadership, and field teams to ship and operate highly reliable services, across Redpanda’s BYOC and Serverless products, and Agentic Data Plane.
You will:
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 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 to identify what's working and where to invest
Collaborate with the Customer Success and Solutions Engineering to unblock customers and prioritise our roadmap
You have:
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
U.S. base salary range for this role is $240,000 - $285,000 (CA, NY, WA) and $230,000 - $270,000 (other US locations). Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.
Please note that Redpanda uses artificial intelligence (AI) technology to assist in the screening and assessment of applications for this position. However, all final hiring decisions are made by our human hiring team.
Vacancy Status: This job posting is for an existing vacancy.
You will:
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 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 to identify what's working and where to invest
Collaborate with the Customer Success and Solutions Engineering to unblock customers and prioritise our roadmap
You have:
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
U.S. base salary range for this role is $240,000 - $285,000 (CA, NY, WA) and $230,000 - $270,000 (other US locations). Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.
Please note that Redpanda uses artificial intelligence (AI) technology to assist in the screening and assessment of applications for this position. However, all final hiring decisions are made by our human hiring team.
Vacancy Status: This job posting is for an existing vacancy.