Top Tech Jobs & Startup Jobs

Lead the architecture and development of distributed testing and reliability infrastructure for large-scale AI storage systems. Build adversarial workload simulation, chaos and fault-injection systems, observability pipelines, and AI-assisted test automation. Mentor engineers, establish technical standards, lead architecture reviews, and collaborate across storage, infrastructure, and core R&D teams. The role requires hands-on software engineering, distributed systems expertise, and leadership of complex technical initiatives.

Design and develop Python-based verification tools and infrastructure that simulate real-world workloads across distributed storage clusters. Build scalable solutions to validate product behavior, explore complex system architectures, and improve reliability and coverage. Collaborate with core R&D and verification teams while addressing Linux, storage, networking, and cluster challenges. Own projects from technical design through implementation and integration.

Leads internal and executive communications for a global, high-growth AI infrastructure company. Responsibilities include producing company-wide events, advising senior executives, developing internal messaging and presentations, managing communication channels, supporting change and crisis communications, partnering with People, Legal, and Finance, building repeatable communication programs, using AI-assisted workflows, and measuring employee engagement. Requires strong executive presence, exceptional writing, event production experience, change communications expertise, and 8+ years of relevant experience.

Operate and optimize WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity management, tenant onboarding, storage and networking configuration, Kubernetes and GPU infrastructure support, performance benchmarking, incident escalation, runbook development, and automation using Python, Bash, and Ansible. The role requires strong Linux, storage, networking, cloud, and customer-facing infrastructure administration experience.

Serve as the primary legal partner to Product, Engineering, Security, and Support. Build risk-tiered product review processes, counsel on data use and AI governance, and own WEKA’s privacy program covering GDPR, CCPA/CPRA, DPAs, data mapping, subprocessors, retention, transfers, incidents, and audits. Create scalable policies, playbooks, workflows, and training while providing backup commercial support, managing outside counsel, and enabling efficient product launches.

Provides senior technical support for enterprise infrastructure customers, troubleshooting hardware, networking, distributed storage, virtualization, cloud, and performance issues. Acts as the liaison between customers, account teams, partners, and Engineering; monitors systems, manages support cases, documents solutions, contributes product feedback, supports pre-sales, and participates in on-call rotations and potential travel.

Manage commercial contract reviews, redlines, templates, approvals, workflows, renewals, and signatures. Administer the contract lifecycle management system, maintain legal records and metrics, triage legal requests, review outside counsel invoices, track legal spend, and support compliance, diligence, and corporate recordkeeping. Partner with Sales, Finance, Procurement, attorneys, and outside counsel while improving processes through automation and AI tools.

Develop and maintain Python services, CLIs, libraries, and infrastructure supporting CI, test scheduling, and execution. Refactor a large monolith into independently testable services, build AI-driven developer tools, and develop GitHub Actions workflows, Bazel packaging, Kubernetes-based runners, and cloud test infrastructure. Monitor platform health through dashboards, alerts, and checks while participating in on-call responsibilities.

Lead multiple platform engineering teams developing performance-critical distributed storage infrastructure. Drive technical strategy, architecture, execution, and optimization across high-speed networking, storage I/O, memory management, Linux systems, and hardware-software integration. Mentor senior engineers and technical leaders, guide architectural trade-offs, improve reliability and scalability, and collaborate with architects and cross-functional leaders on technical priorities.

Owns end-to-end post-sales technical support for federal and special-program customers in secure, classified, and air-gapped environments. Diagnoses issues across Linux, compute, GPUs, networking, storage, cloud, and applications; collects and sanitizes diagnostics; manages escalations; maintains hardened deployments; supports hardware replacement; writes knowledge-base content; and provides customer and pre-sales support. The role includes on-call rotations, secure-facility work, and regional and domestic travel.