Principal Software Engineer (AI Platform)
Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 5, 2026.
Join Redpanda, a remote-first company, as a Principal Software Engineer. You will architect and build the Agentic Data Plane (ADP), enabling AI agents to interact with real-world data securely. Collaborate with engineering, product, and strategic customers to shape the product's architecture and direction. Enjoy comprehensive healthcare, 401(k) matching, unlimited PTO, and more.
Missions
- Architect and build Redpanda's Agentic Data Plane (ADP), enabling intelligent agents to autonomously access and act on enterprise data.
- Identify and integrate the next generation of ADP capabilities, translating emerging research and industry shifts into concrete engineering proposals.
- Define architectural patterns for new ADP capabilities, ensuring they integrate cleanly with the existing runtime, policy, and observability layers.
Profil recherché
- Excellent interpersonal and communication skills. Able to lead without authority across engineering teams and engage credibly with technical customers and external audiences- Self-directed, strong written communicator, comfortable collaborating asynchronously in GitHub, Slack, and Google Docs
- 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
- 10+ years of software engineering experience, with a demonstrated track record of leading the design and delivery of complex, large-scale distributed systems
- Understanding of streaming data systems, messaging infrastructure, or data plane/control plane architectures, experience with Apache Kafka or Redpanda is a plus
- Experience building or contributing to emerging areas of agentic AI infrastructure, e.g. eval frameworks, orchestration layers, context management, AI gateways, or similar
- Experience designing and operating systems that enforce access control, policy, and auditability at scale
- Deep expertise in at least one systems language (Go preferred) and comfort working across the stack
- Prior experience in an early-stage or growth-stage startup, especially in a category-defining product area
- Experience with Kubernetes and cloud-native infrastructure across AWS, GCP, or Azure
- Experience running Kafka/Redpanda and/or Postgres at scale
- Background in security, identity, or data governance systems relevant to enterprise environments
- Experience with protocol buffers, protoreflect and codegen
- Familiarity with AI safety, alignment, or responsible AI research as it applies to autonomous systems in enterprise environments