Administer, optimize, and govern Kafka, AWS MSK, Kinesis, Kafka Connect, and Open. Search platforms Design scalable, fault-tolerant, and secure streaming architectures Monitor, troubleshoot, and performance-tune distributed systems; drive capacity planning Implement security controls, automation, and operational best practices Support integrations with data lakes, Snowflake, analytics platforms, and downstream systems Automate infrastructure provisioning using Terraform or similar Ia. C tools Leverage AI-assisted development tools (Claude or equivalent) to improve engineering productivity and platform automation Collaborate with engineering and analytics teams to enable real-time data processing and AI-driven data solutions What We’re Looking For Required: 6 years of experience with Kafka administration and distributed streaming systems Strong AWS cloud services experience (MSK, Kinesis, and related services) in Open. Search Linux administration and automation/scripting skills Python development and platform reliability engineering Desire to learn and implement evolving and new technologies Preferred: Experience with Flink using Spring Boot Snowflake integration experience Kubernetes orchestration Administration knowledge in Open. Search clusters Familiarity with AI-enabled engineering workflows and tools What Success Looks Like Streaming platforms operate with high availability, performance, and reliability at enterprise scale Governance, security, and automation practices are consistently applied across the ecosystem Engineering teams are unblocked and empowered through well-integrated data pipelines and real-time infrastructure AI tooling meaningfully improves operational efficiency and engineering velocity