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.

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

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 San Francisco 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

U.S. base salary range for this role is $220,000 - $260,000.Our salary ranges are determined by role, level, and location. We strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

About the Role: 

Redpanda is looking for an AI Agent Engineer to join our team in Warsaw, Poland. Ideal candidates are engineers who take initiative, balance speed with quality and are comfortable working on open-ended problems. 

Redpanda is building the Agentic Data Plane, a platform designed to let enterprises safely deploy AI agents across their entire data infrastructure. We’re deploying AI agents across our company to automate how we work and make our internal operations as cutting-edge as our external products. This position reports into Engineering. In this role, you’ll partner with stakeholders in our G&A teams (HR, Finance, Legal) to identify opportunities to increase productivity and then build the AI agents to address these needs. This involves designing agentic workflows, connecting data sources, ensuring observability and governance, and pushing the boundaries of what ADP can do. You’ll also work closely with other engineers to provide input on ADP functionality and improve the product for our customers.

You Will:

• Practice Customer Obsession: Work with internal stakeholders in Finance, HR, and Legal to deeply understand their workflows and identify high-impact opportunities for AI automation.
• Win as a Team: Work cross-functionally to bridge the gap between technical possibility and business need, ensuring that every AI agent you build helps a colleague do their best work.
• Build & Deploy Agents: Design, develop, and maintain AI agents and agentic workflows using LLMs to automate complex tasks.
• Rapid Prototyping: Move from "idea" to "prototype" in days, not months, iterating quickly based on direct feedback from your users.
• Operationalize AI: Ensure the AI tools you build are reliable, measurable, and seamlessly integrated into our existing ecosystem of tools
• Be a Good Human: Approach every internal request with empathy and kindness, ensuring that AI tools are built to empower and support our people, not just to optimize metrics.
• Use leading AI Tools, including Redpanda ADP: Use Redpanda’s Agentic Data Plane and other industry Agentic tools to ensure we’re using the latest tools available to meet our agentic needs.

You Have:

• Foundational Engineering Skills:  Strong understanding of software engineering best practices (Git, testing, clean code).
• Familiarity with Agentic Architectures: Understanding of agentic workflows and connectivity to data sources. Awareness of security and data access concerns, including understanding of application permission models and audit logging.  
• Collaborative Spirit: A commitment to Winning as a Team you can explain technical concepts to non-technical peers and are motivated by collective success.
• Adaptability: Comfort with ambiguity and a "bias for action." You thrive in a fast-paced environment where priorities can shift as we discover new AI capabilities.
• Professional Integrity: A commitment to Being a Good Human, which means building ethical, transparent AI and being a supportive, reliable teammate.
• Professional English fluency. You can communicate clearly in writing and in cross-functional meetings.

Nice to Have:

• Experience working with AI tools for software development (e.g., Claude Code, GitHub Copilot)
• A portfolio of AI projects, either personal or professional, including—AI bots, agents, or automations
• Experience with Redpanda, Apache Kafka, or similar event streaming platforms
• Familiarity with G&A tooling (e.g., Greenhouse, Netsuite, Ironclad, or Slack API).
• Previous experience in a startup or a "forward-deployed" capacity.

About the Role:

The Core engineering team’s mission is to create the best data streaming platform. The team consists of known experts in foundational technologies such as Raft/consensus, transactions, WASM and distributed storage, who have come together to build a differentiated highly performant product with compelling traction in the market. The Core engineering team works closely across multiple functions at Redpanda and our work directly drives key business metrics through various SaaS and self-managed offerings.

We are looking for a software engineer who will help play a big role in expanding Redpanda’s footprint with enterprise-focused features and functionality related to next-generation streaming platform, security, performance and scalability.

You will:

• Build and maintain the customer-facing interfaces provided by Redpanda
• Analyze the Kafka API and strive for parity
• Enhance the user experience and overall system performance 
• Implement security and access control functions critical for enterprise customers
• Enable new customer-centric capabilities that focus on serving large enterprise customers
• Contribute to the overall success of Redpanda by ensuring our core tenets of Operational Simplicity, No Data Loss, and Blazingly Fast remain true as we push the envelope on scalability while expanding our target addressable market through features and integrations

You have: 

• 5+ years of substantial and relevant experience in software development
• Strong understanding and experience of C++, Rust or other systems languages (ideally modern C++17 or C++20), including profiling and benchmarking
• Excellent written communication skills, collaboration skills, and executive function to overcome challenges
• A lifelong commitment to learning and improving yourself

Nice to have: 

• Knowledge of and experience integrating auth{n,z} protocols such as: OAuth (OpenID), kerberos, SASL, LDAP, SCRAM, TLS, etc
• Experience with development of high throughput real-time distributed platforms 
• Some working knowledge of kubernetes and systems maintenance 
• Metrics development including open telemetry, prometheus and Grafana
• Experience developing open source software 
• Data streaming application experience 

If you can read this, type "blueberry" before your name.

U.S. base salary range for this role is $171,000 - 239,000 (CA, NY, WA) and  $164,000 - $229,000 (other US locations). Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

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.

About the Role: 

We are looking for a Senior Software Engineer to join our Observability team and help build the platform that gives Redpanda’s engineering organization deep visibility into the health, performance, and behavior of our systems. You will own and evolve our Grafana-based observability stack—spanning metrics, logs, and traces—and ensure that every team at Redpanda has the tooling and insights they need to ship reliable, high-performance software.

This is a high-impact role at the intersection of infrastructure and developer experience. You will work closely with platform and product engineering teams to design scalable observability solutions, drive adoption of best practices, and reduce mean time to detection and resolution across our cloud and on-premise deployments.

You Will:  

• Design, build, and maintain Redpanda’s observability platform using the Grafana stack (Grafana, Mimir, Loki, Tempo, Alloy/Agent)
• Develop and optimize dashboards, alerts, and SLO/SLI frameworks that give engineering teams actionable insights into system health
• Build and operate scalable metrics, logging, and distributed tracing pipelines that handle high-cardinality data across cloud and on-premise environments
• Instrument services and infrastructure with OpenTelemetry to ensure comprehensive, standards-based telemetry collection
• Partner with platform teams to improve incident detection, root-cause analysis, and mean time to resolution (MTTR)
• Evaluate and integrate new observability tools and techniques, driving continuous improvement of our monitoring capabilities
• Contribute to internal tooling and automation that streamlines observability onboarding for engineering teams
• Participate in on-call rotation to keep observability infrastructure running and incident free

You Have: 

• 5+ years of experience in software engineering with a focus on observability, monitoring, or infrastructure
• Deep hands-on experience with the Grafana stack (Grafana, Mimir/Prometheus, Loki, Tempo) in production environments
• Strong understanding of metrics, logging, and distributed tracing paradigms and their trade-offs at scale
• Experience with OpenTelemetry (OTel) for instrumentation and telemetry collection
• Proficiency in at least one systems-level language (Go strongly preferred) and scripting languages (Python, Bash)
• Experience running and operating infrastructure on Kubernetes in public cloud environments (AWS, GCP, or Azure)
• Comfortable working with a 100% distributed engineering team, collaborating on GitHub, etc.
• Experience with AI coding tools (e.g., Claude Code) and able to independently validate, refine, and productionize generated outputs
• Solid understanding of time-series databases, log aggregation systems, and query languages (PromQL, LogQL)

Nice to Have: 

• Strong understanding of Go
• Experience operating a SaaS platform with production observability at scale
• Familiarity with eBPF-based observability or continuous profiling tools (e.g., Pyroscope, Parca)
• Experience with infrastructure-as-code (Terraform, Pulumi) and GitOps workflows
• Operated and used streaming platforms (e.g., Kafka, Redpanda) either as a user or provider
• Experience building or managing multi-tenant observability platforms
• Contributions to open-source observability projects (Grafana, Prometheus, OpenTelemetry, etc.)

About the Role:

We're looking for a Principal Software Engineer to help architect and build Redpanda's Agentic Data Plane (ADP), the control and execution layer that powers how AI agents safely interact with real-world data across the technological sprawl of the modern enterprise. Redpanda’s Agentic Data Plane enables intelligent agents to autonomously access, reason over, and act on enterprise data in real time, while providing their human counterparts with the visibility and control to ensure and validate that they do so securely. It combines Redpanda’s industry-leading low-latency streaming layer, a distributed query engine for real-time context, 300+ connectors for seamless data integration, and a global policy and observability framework that enforces access, records intent, and enables replayable audits.

You'll work on identifying and integrating the next generation of ADP capabilities as the agentic AI landscape evolves, translating emerging research and industry shifts into concrete engineering proposals and product bets. You'll partner closely across Engineering, with our Product and GTM teams, as well as directly with strategic customers to shape the product’s architecture and direction.

This is a hybrid role based in our San Francisco office.

You Will:  

• Track emerging research, frameworks, and industry developments in the agentic AI space, and translate the most relevant signals into concrete engineering proposals and product bets
• Identify, prototype, and deliver high-leverage emerging capabilities for ADP, in partnership with the broader team 
• Define architectural patterns for new ADP capabilities, ensuring they integrate cleanly with the existing runtime, policy, and observability layers
• Engage directly with strategic customers and the field to stress-test new capabilities against real enterprise deployment scenarios
• Serve as a technical ambassador for ADP externally, publishing research, writing engineering blog posts, and speaking at conferences to establish Redpanda's credibility at the frontier of agentic infrastructure
• Participate in on-call and help drive down operational toil, improving system observability and self-healing capabilities over time

You Have: 

• 10+ years of software engineering experience, with a demonstrated track record of leading the design and delivery of complex, large-scale distributed systems
• Experience building or contributing to emerging areas of agentic AI infrastructure, e.g. eval frameworks, orchestration layers, context management, AI gateways, or similar
• Fluency with AI-assisted development at the level of agentic orchestration, i.e. composing multi-agent coding workflows with subagents to dramatically accelerate research and prototyping
• Deep expertise in at least one systems language (Go preferred) and comfort working across the stack
• Understanding of streaming data systems, messaging infrastructure, or data plane/control plane architectures, experience with Apache Kafka or Redpanda is a plus
• Experience designing and operating systems that enforce access control, policy, and auditability at scale 
• Self-directed, strong written communicator, comfortable collaborating asynchronously in GitHub, Slack, and Google Docs
• Excellent interpersonal and communication skills. Able to lead without authority across engineering teams and engage credibly with technical customers and external audiences

Nice to Have:

• Familiarity with AI safety, alignment, or responsible AI research as it applies to autonomous systems in enterprise environments
• Experience with protocol buffers, protoreflect and codegen
• Background in security, identity, or data governance systems relevant to enterprise environments
• Experience running Kafka/Redpanda and/or Postgres at scale
• Experience with Kubernetes and cloud-native infrastructure across AWS, GCP, or Azure
• Prior experience in an early-stage or growth-stage startup, especially in a category-defining product area

U.S. base salary range for this role is $245,000 - $290,000. Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

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

Nice to have:

• 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 

U.S. base salary range for this role is $240,000 - $285,000 (CA, NY, WA) and  $230,000 - $270,000 (other US locations). Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

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.