Software Engineer, Cloud

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: 27 / 4

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. As a Software Engineer, Cloud, you'll design and develop ADP services across AWS, GCP, and Azure, ensuring 99.99% SLA. You'll lead architecture, build features, and collaborate with cross-functional teams. The role requires strong Go skills, Kubernetes experience, and a track record of leading large-scale cloud projects. This hybrid position is based in Warsaw, focusing on reliability, scalability, and operational excellence.

Job Complexity

Easy Hard

AI Insight The role demands senior-level experience (3+ years) in designing large-scale distributed systems, proficiency in Go, Kubernetes, and multiple cloud providers, plus leadership of complex projects. The combination of technical depth and cross-team collaboration makes it challenging.

Salary Analysis

AI Insight The job listing does not specify a salary range. Based on US market data for a Senior Cloud Software Engineer with Go and Kubernetes expertise, the median salary is approximately $175,000 per year. The typical range for this role is $130,000 to $220,000, depending on experience and location. Since the role is hybrid in Warsaw, local market adjustments may apply, but the provided estimate reflects US market conditions.

Key Skills

Go Kubernetes AWS GCP Azure Distributed Systems Cloud Infrastructure Stream Processing CI/CD Observability

Cover Letter Sample

Dear Hiring Manager,

I am excited to apply for the Software Engineer, Cloud position at Redpanda. With over 3 years of experience designing and operating large-scale systems on AWS, GCP, and Azure, I have a strong track record of leading complex projects from design to production. My proficiency in Go and deep experience with Kubernetes align perfectly with the technical requirements of this role.

I am particularly drawn to Redpanda's vision of the Agentic Data Plane and the opportunity to build AI infrastructure that connects agents with enterprise data. In my previous role, I successfully built and operated cloud services with 99.99% uptime, implemented zero-downtime upgrades, and contributed to improving engineering culture through process enhancements.

I thrive in collaborative, async environments and have a passion for building resilient, observable systems. I look forward to the possibility of contributing to Redpanda's innovative team.

Sincerely,
[Your Name]

Possible Interview Questions

Describe a time you designed and operated a large-scale distributed system on a public cloud. What were the key architectural decisions and how did you ensure reliability?

At my previous company, I led the design of a microservices-based data pipeline on AWS. Key decisions included using Kubernetes for orchestration, AWS SQS for message queuing, and implementing circuit breakers and retries for resilience. We achieved 99.99% uptime by automating failover, conducting chaos engineering experiments, and setting up comprehensive monitoring with dashboards and alerts.

How do you approach leading a technical project from ambiguous requirements to clear execution?

I start by breaking down the high-level goal into smaller, well-defined epics and user stories. I collaborate with product managers to clarify priorities and constraints, then create a technical design document outlining trade-offs. I set milestones, assign owners, and hold regular syncs to track progress. Throughout, I encourage feedback and adjust plans as needed.

Explain your experience with Kubernetes in production. How have you managed stateful workloads or operators?

I have deployed and managed Kubernetes clusters for both stateless and stateful workloads. For stateful applications, I used StatefulSets and PersistentVolumeClaims, and built custom operators using the operator-sdk to automate lifecycle management. I also implemented monitoring with Prometheus and set up automated scaling and rolling updates to minimize downtime.

Describe a challenging incident you handled during on-call. What was your approach to resolution and how did you prevent recurrence?

Once, a misconfigured network policy caused a service outage. I quickly identified the issue by analyzing logs and network traffic, then rolled back the change to restore service. To prevent recurrence, I added validation checks in CI/CD, improved monitoring for network policies, and documented the incident with a post-mortem shared with the team.

How do you stay current with emerging technologies like AI-assisted development tools? Can you give an example of using such a tool?

I regularly experiment with AI tools like Claude Code to accelerate development. For instance, I used it to generate boilerplate code for a new microservice, which saved hours of manual work. I also review its suggestions carefully to ensure they meet our coding standards and security requirements.

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 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:

3+ years of 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.