Sr. Engineering Manager, Cloud

Requirements

• 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
• 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.
• #LI-Remote

Benefits

Additional Information

Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision. Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe. 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

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