• Design, migrate, and operate cloud-native platforms across AWS, GCP, and OCI. • Analyze existing AWS architectures and translate them into functionally equivalent or optimized designs on GCP and OCI. • Map AWS services (EC2, EKS, RDS, S3, IAM, ALB/NLB, Lambda, etc.) to their GCP and OCI counterparts, documenting patterns and tradeoffs. • Build and maintain Infrastructure as Code using Terraform across multiple cloud providers. • Support and enhance CI/CD pipelines for multi-cloud deployments. • Collaborate with Platform Engineering teams to build standardized landing zones, networking, IAM, and security guardrails. • Apply SRE best practices to improve availability, performance, and reliability (SLIs/SLOs, monitoring, alerting). • Support Kubernetes platforms (EKS, GKE, OKE) and cloud-native workloads. • Partner with application teams to modernize workloads using containers and managed services. • Assist with cloud cost optimization, resiliency, and disaster recovery strategies. • Act as a technical advisor on multi-cloud architecture and operations.

• Radiate knowledge about the service's infrastructure and reliability to the rest of the development team • Identify parts of the system that do not scale, provide immediate palliative measures and drive long term resolution of these incidents • Plan the growth of Benzinga's infrastructure • Document every action so your learnings turn into repeatable actions and then into automation • Improve the deployment process to make it as boring as possible • Define, provision, and manage our production infrastructure using Kubernetes and Terraform • Proactively identify and reduce security risks • Develop security training and guidance to internal development teams • Design, build and maintain core infrastructure pieces that allow Benzinga to scale to support thousands of concurrent users • Be on an on-call rotation to respond to benzinga.com availability incidents and provide support for service engineers with customer incidents • Debug production issues across services and levels of the stack • Make monitoring and alerting alert on symptoms and not on outages

• As a Senior Infrastructure Engineer, you will play a crucial role in designing and architecting scalable and reliable platforms that empower our engineers to deliver features to our customers efficiently. • Manage Kubernetes clusters and EKS environments, ensuring efficient scaling and high availability of our applications. • Create and maintain a robust framework for Infrastructure as Code (IaC) using Terraform for automated infrastructure deployment and management. • Implement and manage efficient and reliable CI/CD pipelines with GitLab for seamless software delivery. • Manage our growing database fleet (including RDS Postgres and MySQL), ensuring seamless database migrations, data integrity, and reliability. • Design, implement, and manage event streaming platforms (e.g., Kafka, Kinesis) to enable real-time data processing and asynchronous communication between services. • Implement and maintain robust security measures to ensure the confidentiality, integrity, and availability of our systems. • Develop and maintain an holistic approach to observability and infrastructure monitoring to proactively detect and resolve issues before they impact our services. • Actively partner with Compliance and Security teams to plan and execute compliance workstreams for HIPAA, PCI, SOC 2, ISO 27001, and HITRUST.

• Report to our VP of Engineering • Observability Architecture & Strategy: Define and own end-to-end observability architecture, establishing standards for instrumentation and telemetry while leading OpenTelemetry adoption. • Reliability & Operational Excellence: Use telemetry to proactively manage reliability risks, define SLIs/SLOs, and shift the organization from reactive response to proactive engineering. • Technical Leadership: Serve as a Staff-level IC providing architectural guidance and mentorship across SRE, DevOps, and application teams. • System Insight: Improve how the organization understands system behavior and detects/resolves incidents • Operational Impact: Directly influence platform uptime, customer experience, engineering velocity, and operational efficiency • Data-Driven Decisions: Enable better decision-making regarding performance, scalability, and reliability through data