Staff Software Engineer, Agentic Data Plane (Poland)

Remote from: Poland
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Software Engineering
Employment type: Full Time,
Job posted: 22 May 2026
Apply before: 22 Jun 2026
Experience level: Senior
Views / Applies: 36 / 10

About company

About Redpanda Data

Redpanda is a modern streaming platform for developers.

Computer Software
2019

Actively Hiring

AI Summary

Redpanda is hiring a Staff Software Engineer for the Agentic Data Plane (ADP) in Poland. The role involves designing and building cloud services across AWS, GCP, and Azure, leading large technical projects, and operating systems with a 99.99% SLA. Candidates need strong Go skills, Kubernetes experience, and a track record with large-scale systems. The company is backed by top venture investors and serves major global clients.

Job Complexity

Easy Hard

AI Insight This is a senior-level role requiring significant experience in distributed systems, cloud infrastructure, and leadership of large projects, making it challenging but not the hardest level.

Salary Analysis

AI Insight The salary is not specified, but based on the role's seniority and location (Poland), the median is estimated at $200,000 USD. This is competitive for a Staff level role in the current market.

Key Skills

Go Kubernetes AWS GCP Azure Distributed Systems Stream Processing Infrastructure as Code Cloud Architecture System Design

Cover Letter Sample

I am excited to apply for the Staff Software Engineer position at Redpanda. With extensive experience in designing and operating large-scale distributed systems on public clouds, I am confident in my ability to contribute to the Agentic Data Plane. My proficiency in Go and Kubernetes, combined with a track record of leading end-to-end technical projects, aligns well with the requirements.

I am particularly drawn to Redpanda's mission of enabling real-time AI agents and the opportunity to work with cutting-edge streaming technology. I thrive in collaborative, async environments and am eager to help raise the engineering bar while building robust, scalable systems.

Thank you for considering my application. I look forward to the possibility of contributing to Redpanda's innovative team.

Possible Interview Questions

Describe your experience designing and operating large-scale distributed systems on public cloud environments. Can you give an example of a system you built that achieved high reliability?

I led the design of a multi-region data pipeline on AWS that processed millions of events per second with 99.99% uptime. We used Kubernetes for orchestration, implemented circuit breakers, and had automated failover. The system handled peak loads without degradation.

How would you approach converting ambiguous product requirements into a clear technical design? Provide a specific example.

When tasked with building a real-time analytics feature, I started by clarifying goals with stakeholders, then decomposed the problem into smaller epics. I created design documents with trade-offs, got feedback, and iterated. The final design was a scalable stream processing pipeline that met all requirements.

Explain your experience with Kubernetes operators, especially for stateful workloads. Have you built any?

Yes, I built a custom Kubernetes operator to manage a distributed database cluster. It handled lifecycle, scaling, and self-healing. I used the operator-sdk and implemented reconciliation loops to ensure desired state.

How do you ensure zero-downtime upgrades in a cloud-native environment? Describe strategies you've used.

I use canary deployments, blue-green deployments, and feature flags. For stateful workloads, I ensure data replication and rolling updates with health checks. I also implement automated rollback procedures.

Describe a time you anticipated technical risks and mitigated them proactively. What was the outcome?

During a migration to a new cloud provider, I identified potential network latency issues. I ran early performance tests, adjusted the architecture to use regional endpoints, and implemented caching. The migration completed on time with no impact on users.

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.