• Support and optimize cloud infrastructure for a data lake environment within AWS • Develop and maintain Infrastructure as Code using Terraform to ensure scalable, repeatable deployments • Manage and support Kubernetes-based workloads, including deployment and configuration using Helm • Collaborate with data and platform teams to ensure infrastructure supports data ingestion, processing, and reporting needs • Write and maintain Python scripts to support automation, integration, and operational tasks • Monitor and troubleshoot infrastructure and platform issues across cloud and containerized environments • Implement and maintain security best practices across cloud resources, Kubernetes, and data platform components • Contribute to documentation, runbooks, and operational standards to support long-term platform sustainability • Partner with cross-functional teams to support ongoing enhancements and stabilization of the data platform

• Own and drive the availability, durability, and performance of critical services across all production environments. • Lead and champion complex projects from problem discovery through complete, cross-functional resolution, demonstrating high-level technical ownership. • Define, establish, and enforce service health standards, including working with engineering leadership to implement SLIs, SLOs, and error budget policies for multiple services. • Lead critical incident response and post-incident reviews, translating findings into strategic, long-term service improvements and architectural changes. • Mentor others and act as a subject matter expert in following and evolving established ITIL/OSS processes (incident, change, problem, and capacity management). • Design and architect scalable automation solutions to eliminate toil and improve the efficiency of operational tasks across the entire platform. • Drive the strategic direction of monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, Catchpoint, ELK), and integrate them for comprehensive observability. • Build, maintain, and secure advanced CI/CD pipelines, configuration management, and complex infrastructure as code solutions (Terraform, Ansible, Jenkins). • Write production-grade code (Bash, Python, Go, etc.) to develop new reliability tools and enhance existing systems. • Act as a principal partner to engineering, product, and operations teams, consulting on resilient system design, architecture, and operation. • Lead and formalize the Production Readiness Review (PRR) process, ensuring robust operational handoff for all new services and features. • Lead capacity planning and disaster recovery strategy across critical infrastructure components. • Manage the relationship with vendors and service providers to troubleshoot systemic issues and ensure strict adherence to SLA performance. • Drive the creation of high-quality documentation, proactively share advanced learnings, and cultivate a reliability-first engineering culture across teams. • Own the creation, maintenance, and dissemination of operational playbooks, runbooks, and detailed system documentation. • Proactively identify systemic, recurring issues and architect and drive the implementation of long-term improvements and strategic design action plans. • Be a leading voice in promoting and embedding reliability-focused practices within development and operations teams.

• Join a growing AI-focused SaaS startup as a DevOps & Site Reliability Engineer • Responsible for maintaining, optimizing, and scaling infrastructure supporting the platform • Work closely with development and product teams to improve deployment processes • Monitor systems and respond proactively to incidents

• Perform troubleshooting and functional analysis of incidents in non-production environments; • Provide support for applications in testing environments; • Implement and manage monitoring tools to ensure visibility into system performance and proactively detect issues; • Lead incident response, conducting post-incident (postmortem) analyses to identify root causes and prevent recurrence; • Develop scripts and tools to automate repetitive tasks, improving operational efficiency and reducing human error; • Analyze system capacity and plan scalability to meet demand, ensuring services remain available and responsive; • Collaborate with development teams to implement changes safely and efficiently, minimizing impact on the staging environment; • Work closely with security teams to ensure security practices are integrated into the testing lifecycle; • Create and maintain technical documentation and operational runbooks, and train teams on best practices and tools; • Work together with QA analysts to continuously improve system reliability and efficiency.