Sr. Automation Engineer (AI)

TL;DR

Sr. Automation Engineer (AI/Cybersecurity): Designing and deploying distributed, scalable cloud ecosystems and AI-powered automation services with an accent on LLM integration, agentic automation frameworks, and high-scale microservices. Focus on building resilient AI-driven data pipelines, prompt engineering, and optimizing SOC operations through intelligent workflow orchestration.

Location: Remote (USA)

Salary: $140,000 - $215,000 per year

Company

Global leader in cybersecurity protecting organizations with an advanced AI-native platform to stop breaches.

What you will do

• Develop backend microservices to improve security analyst operations and efficiency.
• Design and implement agentic automation frameworks to scale security operations and reduce repetitive tasks.
• Integrate Large Language Models (LLMs) using prompt and context engineering to create AI-powered automation.
• Build and maintain scalable data pipelines and contribute to the training of custom LLMs.
• Implement CI/CD and GitOps workflows for automated deployment across Kubernetes infrastructure.
• Collaborate with SOC analysts to identify high-value automation opportunities and devise technical solutions.

Requirements

• Degree in Computer Science or professional experience in data structures, algorithms, and distributed systems.
• Hands-on experience with LLMs, Data Science, and Data Engineering.
• Experience building and deploying microservices that handle production traffic at scale.
• Deep understanding of distributed systems, including sharding, partitioning, and concurrency.
• Production-level experience with Kubernetes (deployments, Helm, ingress, HPA).
• Hands-on experience with AWS services (VPC, IAM, Lambda, Load Balancers).

Nice to have

• Proficiency in Go, Cassandra, Kafka, and Elasticsearch.
• Experience with AI frameworks like LangChain, LangGraph, or Claude.
• Knowledge of incident detection, triage, and response workflows in MDR/SOC environments.
• Experience with auto-scaling technologies such as KEDA.
• Familiarity with monitoring tools like Prometheus, Grafana, and Thanos.

Culture & Benefits

• Market-leading compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation, holidays, and paid parental/adoption leave.
• Professional development opportunities across all levels and roles.
• Flexible and autonomous work culture that values trust and ownership.