Staff Infrastructure Engineer – Data Acquisition & Observability

Staff Infrastructure Engineer – Data Acquisition & Observability

Requirements

• 10+ years in infrastructure engineering, platform deployment, or DevOps managing high performance data pipelines.
• Expertise in Infrastructure as Code (IaC) tools (Terraform, Pulumi, Ansible).
• Hands-on experience with Kubernetes, container orchestration, and service mesh architectures.
• Strong understanding of high-performance networking for data pipelines.
• Experience with streaming/messaging platforms (Kafka, Pulsar, Flink, RabbitMQ).
• Strong background in real-time data pipelines and observability stacks (OpenTelemetry, Prometheus, Grafana, ELK).
• Deep knowledge of high-performance databases (Postgres, InfluxDB, Prometheus, Elasticsearch, Cassandra).
• Proficiency in cloud platforms (AWS, GCP, Azure) and on-prem infrastructure.
• Experience with observability tools (Prometheus, Grafana, OpenTelemetry, ELK stack).
• Knowledge of CI/CD workflows and automated deployment strategies.
• Able to work effectively across a number of different teams/functionalities.
• Excellent communication skills.

Responsibilities

• Architect and build and manage scalable infrastructure to support data pipelines and observability services.
• Develop and maintain Infrastructure as Code (IaC) solutions (Terraform, Pulumi, Ansible).
• Optimize platform performance for low-latency, high-throughput workloads.
• Deploy and manage Kubernetes clusters and containerized services.
• Implement automated deployment, CI/CD, and system monitoring solutions.
• Ensure networking, security, and system reliability across cloud and bare-metal environments.
• Collaborate with software engineers on system integration and data engineers on storage and schema management.

Preferred Qualifications

No preferred qualifications provided.