Top Tech Jobs & Startup Jobs

Own and evolve the cloud foundation supporting AWS accounts, IAM, networking, DNS, governance, and Terraform execution. Build self-service infrastructure controls, automate compliance and access management, establish scalable platform patterns, and improve cost visibility. Partner with Security, GRC, IT, and engineering teams while operating reliable, observable systems and participating in on-call support.

Own Workday Payroll, Time Tracking, and Absence implementation, configuration, testing, integrations, compliance controls, and ongoing operations. Configure US and Canadian payroll, support international payroll providers, manage payroll integrations and reconciliations, partner with Payroll Operations and Accounting, oversee releases, develop documentation and training, and investigate payroll discrepancies. The role requires deep Workday expertise, global payroll knowledge, SOX controls experience, and hands-on implementation leadership.

Lead quarterly and annual tax provision under ASC 740, manage tax accounting close processes, oversee domestic and international filings, support tax credits and Section 174/382 analyses, forecast income and cash taxes, manage audits, and assist with transfer pricing and tax planning. Collaborate across the business to improve tax systems, processes, and reporting.

Lead the technical vision and development of Lambda’s managed Kubernetes platform for AI workloads on bare metal. Design GPU-aware orchestration, multi-tenant control planes, networking, storage, inference services, Slurm integration, self-healing automation, and resilient managed services. Provide cross-functional infrastructure leadership, mentor engineers, drive technical standards, lead chaos engineering, and collaborate with customers, NVIDIA, and open-source communities.

Build and operate distributed systems powering Lambda’s GPU cloud, including APIs, control planes, schedulers, workflows, and operational tooling. Own systems through architecture, implementation, deployment, observability, on-call, incident response, and continuous improvement. Improve reliability, performance, security, and scalability while collaborating across infrastructure, networking, storage, security, and SRE teams. Senior engineers lead complex domain work; Staff engineers shape cross-team architecture and mentor others.

Design and build Lambda’s managed Kubernetes platform for large-scale AI workloads. Responsibilities include developing control-plane services, operators, controllers, cluster lifecycle automation, GPU-aware scheduling, inference infrastructure, autoscaling, internal deployment tools, observability, and production support. The role requires deep Kubernetes and distributed systems expertise, strong Go and Python skills, and collaboration across networking, storage, compute, and AI infrastructure teams.

Designs and scales enterprise security across IAM, corporate SaaS, endpoints, and infrastructure. Responsibilities include automating joiner-mover-leaver workflows, access reviews, zero-trust controls, SaaS security posture management, endpoint protections, vendor risk assessments, and AI-powered security automation. The role partners with IT, Legal, HR, and Compliance on security frameworks, documentation, audits, and strategic roadmap initiatives.

Developers Relations technical practitioner who helps enterprise teams deploy production AI workloads on Lambda. Creates technical guides, demonstrations, open-source examples, talks, workshops, and videos; grows reach through professional networks, communities, customers, and partners; represents Lambda at conferences and podcasts; gathers field feedback; and collaborates with engineering, MLE, marketing, and go-to-market teams.

Manage debt and covenant compliance, debt service, hedge settlements and documentation, letters of credit, structured finance administration, intercompany funding, KYC/AML support, and debt forecasting. Maintain banking and counterparty relationships while preparing treasury analyses, forecasts, and leadership materials. The role requires strong financial modeling, Excel, communication, and coordination skills, with on-site presence in San Francisco four days per week.

Architect scalable compute platforms for AI/ML, simulation, and high-throughput workloads. Define system standards, reference designs, roadmaps, and technical requirements across hardware and software. Evaluate CPU, GPU, accelerator, networking, power, cooling, and density tradeoffs. Lead platform validation and performance characterization, collaborate with product and engineering teams, and mentor systems engineers on sizing and optimization.