Redpanda Data
Principal Software Engineer, AI Platform
San Francisco, California - Hybrid · Principal
Sponsorship not specified$245k-$290kDetected 83 days ago
Distributed SystemsGitSQLPostgreSQLAWSGCPAzureKubernetesKafkaAgentic AIResearchCommunication
About the role
- 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.
- This is a hybrid role based in our San Francisco office.
- 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
Responsibilities
- Identify, prototype, and deliver high-leverage emerging capabilities for ADP, in partnership with the broader team
- Participate in on-call and help drive down operational toil, improving system observability and self-healing capabilities over time
- 10+ years of software engineering experience, with a demonstrated track record of leading the design and delivery of complex, large-scale distributed systems
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
- You'll dive into a nimble, high-impact team with the latest AI tools - and the budget to actually use them.
Compensation
- U.S. base salary range for this role is $245,000 - $290,000.
Company info
- 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.
- Engage directly with strategic customers and the field to stress-test new capabilities against real enterprise deployment scenarios
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This listing is sourced directly from Redpanda Data's careers page and normalized into a canonical job model.