About the role

Aplyr's Quick Take

This role is for a Staff Software Engineer focused on designing and building systems for Redpanda's Agentic Data Plane. You'll be leading architecture discussions, developing features, and ensuring system reliability while collaborating with various engineering teams. This is primarily an individual contributor role with some leadership responsibilities.

Good fit

Ideal candidates have extensive experience in software engineering, particularly in cloud services and system architecture. A collaborative mindset and a proactive approach to problem-solving will help you thrive in this fast-paced environment.

Worth noting

The role emphasizes high standards for reliability and zero-downtime upgrades, which may indicate a demanding work environment. It's also hybrid, requiring presence in the Warsaw office.

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.

About the Role:

We’re looking for an experienced Staff Software Engineer to help architect and build the systems that power Redpanda’s vision for the Agentic Data Plane (ADP), while also shaping the technical culture behind them.

In this role, you will design and develop our ADP product, building on our Bring Your Own Cloud, Serverless, and Redpanda Connect offerings. You will lead system architecture, develop new features, and operate ADP and Redpanda Cloud, helping us meet our 99.99% SLA. You will raise the engineering bar across the Cloud team and collaborate closely with Cloud, Core, and Platform engineering, as well as pre- and post-sales teams, to build robust, scalable systems with a strong emphasis on stability and zero-downtime upgrades.

This is a hybrid role based in our Warsaw office.

You Will:

Design, build and operate ADP and cloud services across AWS, GCP, and Azure, including control plane and data plane components
Convert ambiguous product requirements into clear technical designs and executable workstreams
Lead the technical direction of large projects within ADP, and contribute to architecture discussions that span ADP and adjacent Cloud teams
Anticipate technical risks and proactively mitigate them to ensure timely, high quality delivery
Set and uphold high standards for reliability, scalability, performance, and security
Identify and champion new features, process improvements, and strategic initiatives that enhance engineering culture and operational excellence
Participate in the on-call escalation chain; helping reduce escalations and improve operational health
Build tools and services for automated infrastructure provisioning, deployment, and self-healing
Make resilience and observability integral to the systems you own, enabling us to run enterprise-grade agentic systems and service in the cloud

You Have:

Significant experience designing and operating large-scale, reliable systems in public cloud environments
A track record of leading large technical projects end-to-end, from design and planning, to execution and production operations
Strong proficiency in Go (or comparable systems language with willingness to ramp)
Experience with AI-assisted software development workflows including tools like Claude Code
Production experience with Kubernetes, including running and operating workloads
Working knowledge of at least one of AWS / Azure / GCP, including IaC for system and network infrastructure
Familiarity with stream processing concepts
Excellent written and verbal communication skills; comfortable working in a globally distributed, async environment (e.g., GitHub)
Ability to collaborate effectively with engineering, product, and customer-facing stakeholders

Nice to Have:

Experience building Kubernetes operators for stateful / storage workloads
Experience building or operating SaaS platforms
Experience with streaming platforms as a user or provider
Exposure to production agentic systems and building agentic workflows

Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness. You'll dive into a nimble, high-impact team with the latest AI tools — and the budget to actually use them.

#LI-Remote

Skills & Tags

go rust aws gcp azure kubernetes ai data

Aplyr's read

Redpanda Data offers a modern streaming data platform, attracting engineers focused on real-time data solutions and innovative cloud technologies.
Synthesized from recent postings & public sources

What's promising

•Redpanda Data's platform is designed for high performance, appealing to engineers interested in cutting-edge data streaming.
•The company is expanding its global presence, hiring roles in diverse locations like Poland and Austin, Texas.
•Redpanda Data emphasizes innovation in AI and real-time data, attracting talent in these rapidly growing fields.

What to watch

•Limited public information about Redpanda Data's long-term financial stability may concern risk-averse applicants.
•The fast-paced nature of a startup may not suit those seeking stability and well-defined processes.
•Potential applicants might find the niche focus on data streaming limiting if seeking broader tech exposure.

Why Redpanda Data

•Redpanda Data's focus on agentic data planes sets it apart in the data streaming landscape.
•The company's commitment to real-time data innovation attracts engineers passionate about cutting-edge technology.
•Redpanda Data offers opportunities to work on AI advancements within the data streaming context, appealing to tech-forward professionals.

Aplyr’s read is generated by AI from public sources. Was it useful?