We are looking for a hands-on DevOps Tech Lead to join our R&D organization and lead the design, scalability, and reliability of our SaaS platform – a large-scale, multi-tenant system fully operated on AWS (EKS, Lambda, S3, RDS, Kafka, Redis, and more).
The DevOps Tech Lead will be responsible for shaping our infrastructure roadmap, optimizing CI/CD, guiding engineers on best practices, and ensuring our system runs securely, efficiently, and at scale – while driving automation and intelligent operations, leveraging AI-assisted tools and observability.
Why Join Us:
Be a key player in scaling and modernizing a global cyber intelligence SaaS serving leading enterprises.
Collaborate with top-tier engineers and architects driving automation and intelligent operations.
Take ownership and lead initiatives that directly affect uptime, reliability, and efficiency.
Work in an environment that encourages innovation, experimentation, and adoption of AI and automation in day-to-day operations.
Requirements:
5+ years of experience as a DevOps / SRE / Infrastructure engineer, with at least 2 years in a technical leadership role.
Proven experience managing large-scale SaaS systems on AWS (EKS, RDS, Kafka, Redis, S3, Lambda, CloudWatch).
Deep understanding of Kubernetes architecture and container orchestration at scale.
Hands-on experience with Terraform, Helm, and CI/CD automation (GitHub Actions, Jenkins, or ArgoCD).
Strong scripting skills in Python, Bash, or Go.
Familiarity with monitoring and alerting tools (Prometheus, Grafana, Loki, ELK).
Experience using or integrating AI-assisted tools (e.g., for observability, auto-remediation, or developer productivity).
Excellent troubleshooting skills and a proactive mindset for reliability and performance optimization.
5+ years of experience as a DevOps / SRE / Infrastructure engineer, with at least 2 years in a technical leadership role.
Proven experience managing large-scale SaaS systems on AWS (EKS, RDS, Kafka, Redis, S3, Lambda, CloudWatch).
Deep understanding of Kubernetes architecture and container orchestration at scale.
Hands-on experience with Terraform, Helm, and CI/CD automation (GitHub Actions, Jenkins, or ArgoCD).
Strong scripting skills in Python, Bash, or Go.
Familiarity with monitoring and alerting tools (Prometheus, Grafana, Loki, ELK).
Experience using or integrating AI-assisted tools (e.g., for observability, auto-remediation, or developer productivity).
Excellent troubleshooting skills and a proactive mindset for reliability and performance optimization.
This position is open to all candidates.
