Software Engineer, Agentic Data Plane

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: Midweight
Views / Applies: 30 / 9

About company

About Redpanda Data

Redpanda is a modern streaming platform for developers.

Computer Software
2019

Actively Hiring

AI Summary

Redpanda is building the Agentic Data Plane (ADP), a new AI infrastructure category connecting AI agents with enterprise data in real time. They are hiring a Software Engineer to join their Warsaw-based ADP team, designing and building cloud services on AWS, GCP, and Azure. The role involves end-to-end ownership of features, operating services with a 99.99% SLA, and collaborating with global teams. Candidates need 3+ years of production experience, proficiency in Go, and familiarity with AI-assisted development. This is a hybrid role requiring 3 days/week on-site in Warsaw.

Job Complexity

Easy Hard

AI Insight The role requires a strong combination of systems engineering, cloud expertise, and AI infrastructure knowledge, plus experience with production services and on-call duties, making it challenging but not the hardest.

Salary Analysis

AI Insight The offered salary is not specified, but for a senior Software Engineer role in AI infrastructure in Warsaw/Poland, the market median is estimated at $175,000 USD annually, considering US-based remote or hybrid roles. This is competitive for the specialized skill set required.

Key Skills

Go AWS GCP Azure Kubernetes Agentic AI Cloud Infrastructure Streaming Platforms SaaS Observability

Cover Letter Sample

I am excited to apply for the Software Engineer, Agentic Data Plane role at Redpanda. With over 4 years of experience building and operating production services on AWS and GCP, I have a strong track record of end-to-end feature ownership and a deep proficiency in Go. My background includes designing scalable control planes and data planes for cloud-native platforms, and I have actively used AI-assisted development tools like Copilot to accelerate delivery.

I am particularly drawn to Redpanda's vision of the Agentic Data Plane, as it aligns with my passion for real-time AI infrastructure. In my previous role, I contributed to a streaming platform that processed terabytes of data daily, ensuring 99.99% uptime through robust observability and on-call practices. I thrive in async-first, globally distributed teams and am comfortable collaborating over GitHub and Slack.

I am eager to bring my expertise in Kubernetes and SaaS operations to help Redpanda deliver enterprise-grade agentic services. Thank you for considering my application.

Possible Interview Questions

Can you describe your experience designing and operating a control plane for a cloud service? What were the key architectural decisions?

In my previous role, I designed a control plane for a multi-tenant SaaS platform on AWS. Key decisions included using Kubernetes for orchestration, separating control and data planes for scalability, and implementing a robust API gateway with rate limiting. I also integrated monitoring with Prometheus and Grafana to ensure 99.99% uptime.

How do you approach ensuring reliability and observability in distributed systems?

I follow the principle of designing for failure, using circuit breakers, retries, and graceful degradation. For observability, I implement structured logging, distributed tracing (e.g., OpenTelemetry), and metrics dashboards. I also conduct chaos engineering experiments to validate resilience.

Describe a time you had to troubleshoot a production issue under time pressure. What steps did you take?

Once, a critical service had increased latency. I first checked dashboards and logs to identify the bottleneck, which was a database connection pool exhaustion. I quickly scaled the pool and added connection pooling, then implemented alerts to prevent recurrence. I also documented the incident and led a post-mortem.

How do you stay updated with the latest in AI infrastructure and incorporate AI tools into your development workflow?

I regularly follow AI conferences and blogs. I use Copilot for code completion and Claude Code for refactoring and generating tests. I also experiment with LLMs to automate documentation and code review summaries, which boosts my productivity.

Explain your experience with Go and how you handle concurrency in your applications.

I have 4 years of Go experience, extensively using goroutines and channels for concurrency. In a recent project, I built a high-throughput data pipeline using worker pools and sync primitives to avoid race conditions. I also used context for cancellation and timeouts to ensure graceful shutdown.

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 hiring Software Engineers to design and build the services that power Redpanda’s Agentic Data Plane (ADP), AI infrastructure connecting AI agents with enterprise data in real time. You’ll join our Warsaw-based ADP team, collaborating with cloud and ADP peers across Europe and US.

You’ll design and ship components of our ADP product, which builds on Redpanda’s Bring Your Own Cloud, Serverless, and Redpanda Connect offerings. You’ll help operate the services you build, contributing to our 99.99% SLA, and collaborate with peers across Cloud, Core, and Platform engineering to deliver robust, scalable agentic AI systems.

This is a hybrid role based in our Warsaw office (minimum 3 days/week on-site).

You Will:

Design, build and operate features across our ADP and cloud services on AWS, GCP, and Azure, including control plane and data plane components
Turn product requirements into clear technical designs
Take ownership of your tasks and delivery end to end, and contribute to architectural discussions
Spot technical risks early and work with your team to mitigate them, ensuring timely, high-quality delivery
Hold a high bar for reliability, scalability, performance, and security in the code and services you ship
Participate in the on-call escalation chain, helping reduce escalations and improve operational health
Build resilience and observability into the systems you work on, so we can run enterprise-grade agentic services in the cloud

You Have:

3+ years of experience building and operating production services in public cloud environments
A track record of owning features end-to-end, from design to production operations
Proficiency in Go (or comparable systems language with willingness to ramp)
Experience with AI-assisted software development workflows (e.g. Claude Code, Cursor, Copilot)
Working knowledge of at least one of AWS / Azure / GCP, including IaC for system and network infrastructure
Strong written and verbal communication skills in English; comfortable working in a globally distributed, async-first team over GitHub, Slack, and docs
Ability to collaborate effectively with engineering, product, and customer-facing stakeholders

Nice to Have:

Experience with Kubernetes
Experience building or operating SaaS platforms
Experience with streaming platforms as a user or provider

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.