Provide technical leadership for reliability and platform engineering while designing highly available, scalable, and secure cloud systems. Lead cross-team initiatives, drive SRE practices, and mentor senior engineers to improve overall organizational engineering maturity.
You will design, implement, and operate highly available network infrastructure across hybrid on-premises and Google Cloud Platform environments. Additionally, you will automate network operations using Infrastructure as Code and collaborate with engineering teams to ensure scalable and secure solutions.
The NOC Supervisor acts as the primary point of escalation for operational issues and ensures shift operations are executed according to defined SLAs. They are responsible for managing shift schedules, tracking open incidents, and handling system access requests for NOC engineers.
You will act as a Subject Matter Expert to troubleshoot and resolve complex technical issues for enterprise-level customers. Additionally, you will serve as the voice of the customer to internal teams while mentoring team members and contributing to support process improvements.
The Principal Engineer will architect and build next-generation Conversational AI products while leading and mentoring engineering teams. They will partner with product teams to translate vision into scalable, cloud-native solutions.
The Senior Cloud Architect will design, deploy, and manage scalable GCP network architectures while driving reliability engineering principles across the platform. They will collaborate with SRE and engineering teams to optimize network performance, security, and connectivity for a global microservices environment.
The SecOps Engineer will provide operational support for security tool alerts, triage vulnerabilities, and assist in investigating cybersecurity incidents. They will also document security processes and collaborate with IT teams to harden infrastructure and cloud environments.
Lead the design, implementation, and operation of observability platforms including logging, metrics, and tracing across cloud and on-premises environments. Drive the development of scalable, Kubernetes-based observability services and mentor engineering teams on best practices.
Lead the design, implementation, and operation of observability platforms including logging, metrics, and tracing across cloud and on-premises environments. Drive the development of scalable, Kubernetes-based observability services while mentoring engineering teams on best practices.
You will lead the evolution of the frontend architecture and champion the adoption of AI-driven engineering practices across the organization. Additionally, you will mentor junior developers and manage full-stack features from concept through deployment.
Manage and grow a portfolio of strategic enterprise accounts by serving as a trusted advisor to senior stakeholders. Drive sustainable revenue growth through account penetration, renewals, and the expansion of AI-powered solutions.
Lead the migration of mission-critical data pipelines from legacy Hadoop and Spark environments to a cloud-native Databricks architecture. Design and optimize scalable data workflows using Airflow while leveraging AI coding assistants to accelerate development.
Lead and develop a team of QA Engineers while owning the overall QA strategy and release governance across assigned product areas. Drive the automation roadmap and embed shift-left testing practices into the design and planning phases.
