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

Major Responsibilities:

• Lead the DevOps domain: define architecture, automation strategy, and reliability goals for the entire R&D organization.
• Own infrastructure scalability and performance: ensure our Kubernetes (EKS)-based environments are resilient, efficient, and cost-optimized.
• Develop and maintain CI/CD pipelines using GitHub Actions, Jenkins, or ArgoCD to support fast, reliable, and automated delivery.
• Drive observability and reliability initiatives: monitor system health via Prometheus, Grafana, and CloudWatch; define metrics, alerts, and SLOs.
• Leverage AI/automation tooling (e.g., anomaly detection, alert classification, cost prediction) to enhance monitoring, response, and efficiency.
• Manage infrastructure as code (Terraform, Helm, CloudFormation) and enforce IaC best practices.
• Collaborate with engineering teams to design infrastructure for new services, improve developer experience, and ensure secure deployments.
• Ensure system uptime and production readiness: lead root cause analysis, incident response, and capacity planning.
• Mentor DevOps engineers on cloud architecture, observability, and automation excellence.
• Continuously evaluate emerging technologies, including AI-driven ops tools, to improve scalability, reliability, and delivery velocity.

Requirements:

Must-Have:

• 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.

Nice-to-Have:

• Experience in multi-environment / multi-tenant SaaS or cybersecurity / threat intelligence systems.
• Knowledge of AI/ML pipelines or AIOps concepts.
• Background in cost optimization and FinOps practices.
• Familiarity with Kafka scaling, Redis clustering, and AWS service-level tuning.