• Spark / YARN Job Optimization: Analyze job resource usage and identify inefficiencies (CPU idle, memory waste, timeouts, small file problems, etc.) • Build job profiling systems: job classification, resource baseline modeling, historical trend analysis • Produce optimization reports and drive business owners to implement improvements • AI-Driven Automation & Tooling: Use AI coding tools (Cursor / Copilot / Claude, etc.) fluently to accelerate development and tool delivery • Participate in EMR / S3 cost optimization projects: analyze high-cost jobs and storage, identify waste, and drive owners to take action • Develop automated ops scripts: scheduled health checks, anomaly alerting, data governance policy auto-deployment • Help build internal SaaS tooling to systematize and productize repetitive manual operations • Monitoring & Alerting: Maintain and improve existing monitoring systems (Prometheus metrics, alerts, log analysis) • Participate in Flink / Spark job health monitoring development • Assist with capacity alerting and governance for disk, S3, and other storage layers

• Own Render's core compute infrastructure across multiple cloud providers, regions, and data centers. You'll shape how we evolve our compute platform as we rapidly scale. • Design and build capabilities that give users greater performance and flexibility in how their services are built, deployed, perform, and stay available even when underlying resources go down. • Investigate challenging cloud and compute issues across the stack, from the kernel and data plane to our kubernetes cluster, control plane, and other orchestration mechanisms. • Improve the performance and reliability of our infrastructure through systematic profiling, experimentation, and tuning. • Partner with engineers across the company to build a platform that is stable, predictable, and secure. • Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents.

Role Description The Infrastructure Engineer (Storage) is an early career engineering role designed for IT professionals transitioning into infrastructure engineering. This role focuses on learning, supporting, and gradually owning enterprise storage and data protection platforms under the guidance of senior engineers. This position offers hands-on exposure to storage technologies, backup and recovery systems, and enterprise operations supporting a large, distributed retail environment. - Assist with the operation and support of enterprise storage and backup platforms. - Perform routine storage tasks such as monitoring capacity, checking alerts, and validating backups. - Support backup, recovery, and restore requests following documented procedures. - Assist senior engineers with storage provisioning, maintenance, and platform upgrades. - Troubleshoot basic storage and data protection issues and escalate appropriately. - Maintain documentation, runbooks, and standard operating procedures. - Partner with managed service providers and vendor support teams by opening, tracking, and updating support cases as directed by senior engineers. - Coordinate with other IT teams (virtualization, server, network, cloud, and service desk) to support incidents, service requests, and operational activities. - Participate in incident bridges and follow the sun support models alongside internal teams and managed services partners. - Participate in disaster recovery testing and operational readiness exercises. - Learn storage concepts, platforms, and best practices through hands-on work and mentorship. Qualifications - 2+ years of experience in Help Desk, Service Desk, or IT Operations roles. - Fundamental understanding of servers, operating systems, and basic networking concepts. - Strong interest in infrastructure engineering, storage, and data protection technologies. - Ability to follow procedures, document work, and learn complex systems. - Strong troubleshooting mindset and willingness to ask questions. Requirements - Exposure to storage, backup, or virtualization concepts (academic, lab, or on the job). - Experience working with managed service providers or vendor support portals. - Experience with ticketing systems and operational support processes. - Basic scripting or automation curiosity (PowerShell or similar). - Relevant coursework, certifications, or self-study a plus. Benefits - You will be eligible to receive a merchandise discount at select KnitWell Group brands, subject to each brand’s discount policies. - Support for your individual development plus opportunities for career mobility within our family of brands. - A culture of giving back – local volunteer opportunities, annual donation and volunteer match to eligible nonprofit organizations, and philanthropic activities to support our communities. - Medical, dental, vision insurance & 401(K). - Employee Assistance Program (EAP). - Time off – paid time off & holidays. - The target salary range for this role is: $60,000 - $75,000.

Role Description We are seeking an experienced IVA Software Engineer to design, develop, and maintain intelligent virtual assistant solutions that enhance customer experience and operational efficiency. This role combines conversational AI expertise with strong software engineering fundamentals to deliver scalable, enterprise-grade automation solutions. Key Responsibilities - Design and develop conversational AI solutions using enterprise platforms (Soundhound Amelia) - Build and maintain integrations between IVA platforms and backend systems using RESTful APIs and microservices - Collaborate with business stakeholders to gather requirements and translate them into technical specifications - Implement NLU training strategies, intent management, and dialog flow optimization - Write clean, maintainable code following object-oriented programming principles - Track and manage work items using Atlassian Jira and Agile methodologies - Stay current with emerging trends in conversational AI Qualifications - BA in Computer Science or related field - 2-5 years experience in IVA development - 1-2 years experience with AI technology Requirements - AI usage within IVA call flow builds - Experience with Sound Hounds Amelia/Smart Assist call flow IE Benefits - Medical, dental, and vision coverage - 401(k) plan with company match - Paid time off, holidays, and parental leave - Professional development reimbursement opportunity