Senior Data Infrastructure Engineer

5+ years of demonstrated experience in building large scale, fault tolerant, distributed data platforms, stream processing pipelines, ETLs, etc
Expert-level skills in designing, building, and operating stream processing pipelines with services like AWS Kinesis, Apache Kafka, or Redpanda
Expert-level knowledge of building real-time customer facing analytics systems using services like AWS TimeStream or Clickhouse
Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, AWS CDK, or Pulumi
Proficiency in version control practices and integrating IaC with CI/CD pipelines.
Proficiency in implementing and managing GitOps workflows with tools such as ArgoCD, Github Actions, TeamCity, or similar
Proficiency in one or more of Golang, Rust, Python, Java, or TypeScript
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
Experience with Kubernetes, or containers a plus

Identify, design, and develop foundational data infrastructure components capable of handling millions or billions of events daily
Analyze and improve the robustness and scalability of existing data processing infrastructure
Partner with product teams to understand functional requirements and deliver solutions that meet business needs
Write clear, well-tested, and maintainable infra-as-code and software for both new and existing systems
Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
Participate in an on-call rotation to address critical incidents when necessary