DevOps Tech Lead
5 days ago
Why Join Us?
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.
Key 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.
Qualifications
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.
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