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Staff Software Engineer (AI Platform)

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Onsite

Staff Software Engineer (AI Platform)

Redpanda Data

Staff Software Engineer (AI Platform)

Skills

Google Cloud PlatformAIAWSGitHubKubernetesADP Workforce NowProcess ImprovementAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$220,000 – $260,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

5 September 2026

What they need


  • 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
  • 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

Benefits

  • Remote first: We’re a remote-first company that puts humans first. We advocate for working wherever you’re most productive
  • Comprehensive healthcare: We’ve got you covered with a mix of plans ranging from fully-paid medical, dental and vision, to premium coverage
  • 401(k) matching: Our 401(k) plans let you save for your future. And for our US and UK employees — we match
  • Unlimited PTO: Take time to relax and recharge. Option to select region-specific holidays. Our vacation policy puts you in control
  • Home office & education reimbursement: $1,000 to gear-up your home office, $50 towards each wifi bill, $500 to invest in your learning and development annually
  • Redpanda swag: Hands down the coolest swag in our industry! Your family will steal it. Guaranteed- Excellent written and verbal communication skills; comfortable working in a globally distributed, async environment (e.g., GitHub)
  • Strong proficiency in Go (or comparable systems language with willingness to ramp)
  • Significant experience designing and operating large-scale, reliable systems in public cloud environments
  • Working knowledge of at least one of AWS / Azure / GCP, including IaC for system and network infrastructure
  • A track record of leading large technical projects end-to-end, from design and planning, to execution and production operations
  • Production experience with Kubernetes, including running and operating workloads
  • Ability to collaborate effectively with engineering, product, and customer-facing stakeholders
  • Familiarity with stream processing concepts
  • Experience with AI-assisted software development workflows including tools like Claude Code
  • Experience building Kubernetes operators for stateful / storage workloads
  • Experience with streaming platforms as a user or provider
  • Experience building or operating SaaS platforms
  • Exposure to production agentic systems and building agentic workflows

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