Senior DevOps Engineer
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Job Description
Senior DevOps Engineer owning AWS infrastructure, Kubernetes reliability, and AI-driven operations for a global cyber intelligence SaaS platform. Scaling secure, resilient production systems.
Responsibilities:
- Define the long-term architecture, automation strategy, and reliability goals for the entire R&D infrastructure footprint
- Optimize the scalability and cost efficiency of production Kubernetes (EKS) clusters using advanced scaling mechanisms
- Architect and scale data streaming and caching layers, focusing on Kafka scaling and Redis clustering
- Build advanced observability frameworks using Prometheus and Grafana to establish proactive alerts, SLOs, and anomaly detection
- Integrate AI-assisted tooling into daily operations for automated incident remediation and predictive cost optimization
- Establish production-readiness standards by leading root-cause analyses, capacity planning, and incident response operations
- Own the infrastructure roadmap for a large-scale, multi-tenant cyber intelligence SaaS platform
- Collaborate with mature architects and the highly technical R&D group
Requirements:
- 5+ years of experience in DevOps, SRE, or Infrastructure roles supporting production systems
- Proven track record of managing high-scale, multi-tenant SaaS environments running on AWS
- Deep production-level experience with Kubernetes (EKS) architecture, container orchestration, and Karpenter
- Strong hands-on proficiency with Terraform, Helm, and CI/CD automation pipelines
- Solid scripting capabilities in Python, Bash, or Go for custom automation tools
- Practical experience implementing monitoring, logging, and alerting stacks
- Experience utilizing or integrating AI-assisted tools to improve observability or developer productivity
- Domain experience within cybersecurity or threat intelligence industries
- Foundational knowledge of AI/ML data pipelines or predictive AIOps concepts
- Practical experience applying FinOps frameworks to large-scale cloud infrastructure
- Deep knowledge of AWS service-level tuning
Benefits:
- Opportunity to own critical infrastructure behind a global cyber intelligence platform
- Mandate to experiment with and deploy AI-driven operations tools for auto-remediation and prediction
- Collaboration with mature architects in a highly technical R&D group
- Advanced infrastructure engineering focus over manual workarounds
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