Azure DevOps Architect running Fidus’s LodeStar AI design platform and cloud infrastructure. Owning DevOps tooling, security, CI/CD, and reliability for electronic - systems engineering teams.
About the role
- Director of SRE leading global infrastructure and reliability teams for Blackpoint Cyber's cyber defense services. Focusing on cost efficiency, automation, and team leadership.
Responsibilities
- Lead the design, implementation, and management of scalable, reliable, and highly available cloud-based infrastructure (AWS/Azure)
- Establish SRE best practices, including monitoring, incident response, capacity planning, and performance tuning
- Improve observability, monitoring, and alerting, ensuring quick detection and resolution of reliability issues
- Drive automation-first approaches, reducing manual intervention through Infrastructure-as-Code (IaC) and CI/CD pipelines
- Lead a team of SREs, applying Blackpoint Cyber's management values of Coach, Model, Care, in defining business-critical outcomes, creating action plans, and supporting the team in achieving them
- Continue hands-on contributions in an SRE role
- Design, implement, and support key infrastructure, including automated attack infrastructure deployment, isolated identity and productivity environments, and secure data storage
- Establish and apply security hygiene and monitoring policies to meet Blackpoint Cyber security requirements
- Monitor and optimize cloud spending, ensuring cost-effective resource utilization without compromising reliability
- Manage and mentor a global team of SREs, DevOps engineers, and cloud infrastructure specialists
- Collaborate with security teams to ensure compliance, security hardening, and disaster recovery readiness
Requirements
- 10+ years of experience in SRE, DevOps, or Cloud Infrastructure roles
- 5+ years of experience in people management, leading SRE team
- Strong experience with AWS, Azure, or GCP, with expertise in cost management and scaling strategies
- Proficiency in Infrastructure-as-Code (IaC) (e.g., Terraform, CloudFormation, Pulumi)
- Hands-on experience with CI/CD pipelines, Kubernetes, and container orchestration
- Expertise in monitoring, logging, and observability tools (e.g., Prometheus, Grafana, Datadog, Splunk)
- Proven ability to optimize cloud costs (COGS) while maintaining reliability and performance
- Strong leadership, collaboration, and problem-solving skills
- Experience with SLA/SLO/SLIs will be valuable
- A general understanding of the modern AI tooling landscape and how SRE can use that to increase velocity and improve stability
Benefits
- Health insurance
- Vision insurance
- Dental insurance
- Life insurance
- 401k plan
- Discretionary Time Off
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