DevOps Engineer (BigBrain) (AI)

TL;DR

DevOps Engineer (AI): Designing and scaling cloud infrastructure for AI-powered products with an accent on Kubernetes, streaming pipelines, and AIOps. Focus on building autonomous agents for infrastructure automation and ensuring the reliability of LLM inference platforms.

Location: Tel-Aviv, IL

Company

A global software company transforming how businesses run through a flexible platform that enables diverse industries to increase efficiency and scale.

What you will do

• Scale platform infrastructure including multi-region EKS clusters, Kafka/MSK streaming pipelines, and Airflow orchestration.
• Build and maintain AI infrastructure, including the AI Gateway for governance, observability, and ML inference platforms.
• Implement AIOps by designing autonomous agents and intelligent tooling using n8n and LangChain to reduce manual toil.
• Operate GitOps and CI/CD pipelines using GitHub Actions, Argo CD, Helm, and Terraform (CDKTF).
• Enhance data platform capabilities using Snowflake, ClickHouse, and Apache Iceberg.
• Develop internal developer self-service tools and observability frameworks using Datadog and OpenTelemetry.

Requirements

• 3+ years of experience as a DevOps Engineer.
• Strong expertise in building full application release cycles (CI/CD).
• Deep understanding of Linux environments, scripting, and programming.
• Knowledge of networking, firewall management, and application security.
• Ability to perform system architecture planning and scale modern web applications.

Nice to have

• Experience supporting AI-native products or LLM-based systems.
• Familiarity with Cloudflare, PostgreSQL, and cloud cost management.
• Background in 0-to-1 product teams or startup environments.
• Experience building internal developer platforms to improve engineering productivity.
• Experience with Big Data technologies like Kafka or Flink.

Culture & Benefits

• Flexible work options and a supportive, collaborative environment.
• Culture focused on wellness, mental health, and continuous employee growth.
• Emphasis on transparency, knowledge sharing, and individual initiative.