• Use deep expertise in cloud infrastructure, Kubernetes, and modern CI/CD practices to build, operate, and scale reliable production systems • Own the infrastructure to enable engineering teams through strong platform foundations, automation, observability, and operational excellence • Design, build, and maintain scalable, secure infrastructure on AWS using Infrastructure as Code (Terraform) • Operate and evolve Kubernetes-based platforms using tools such as Helm and Argo CD • Build and maintain CI/CD pipelines using GitHub Actions and related tooling to support fast, safe delivery • Implement and maintain observability solutions, including metrics, logging, tracing, and alerting using tools such as Prometheus, Grafana, Loki, Alertmanager, and distributed tracing systems • Own production reliability by defining SLIs/SLOs, managing on-call workflows, and integrating alerting with tools like PagerDuty • Manage secrets and sensitive configuration using Vault and best-practice security patterns • Troubleshoot and resolve complex infrastructure and application issues across cloud, container, and CI/CD systems • Collaborate closely with software engineers to translate application needs into resilient platform solutions • Develop and maintain clear technical documentation, runbooks, and architectural diagrams • Drive continuous improvement through automation, platform standardization, and contributions to DevOps and SRE best practices

• Build and manage infrastructure operations, running on Cloud Infrastructure (Amazon Web Services)** • Working closely with data engineer team, software engineer team to align and create a collaborative solution** • Install, configure and manage supporting applications like PostgresQL, Nginx, Airflow, Jenkins or any other necessary apps** • Maintain deployment CI/CD for internal tools and Apps with Ansible** • Enhance monitoring tools across our servers** • Contribute to the ongoing improvement of reliability, scalability, and performance of critical infrastructure** • Research new technologies that will improve efficiency and effectiveness**

• Leverage various monitoring and alerting services to solve intricate programming problems at scale. • Manage and tune multiple critical customer-facing Apache Pinot clusters • Monitor availability, read/write latencies, and other key telemetry to proactively identify SLO misses and help mitigate issues • Build a rapport with and work closely with customers to mitigate and resolve incidents • Execute disaster recovery strategies with minimal downtime • Collaborate with other engineers to understand and troubleshoot systems and use the experience gained to influence the roadmap of other teams

• Lead 8-12 enterprise deployments quarterly, driving $10M+ in eARR with ownership of quality, timelines, and outcomes. • Define end-to-end implementation strategy, managing complex integrations, stakeholder alignment, and risk. • Optimize deployment frameworks by identifying inefficiencies and implementing scalable, automated solutions and tooling. • Strategically partner with Engineering and Product, influencing the roadmap with client insights and technical feedback. • Lead cross-functional execution across Sales, CS, Product, and Engineering for seamless customer lifecycle delivery. • Institutionalize best practices via scalable documentation, playbooks, and knowledge systems to elevate team consistency. • Support organizational scalability by forecasting capacity, mitigating pipeline constraints, and reducing future eARR risk. • Leverage AI as a core layer for accelerating solution design, implementation, and continuous deployment improvement.