Source Job

• Lead core infrastructure and SRE teams to ensure the highest reliability and performance for massive GPU computing demands.
• Oversee HPC networking and distributed storage engine innovation to support massive multi-node AI workloads.
• Build and scale a high-output engineering org while partnering cross-functionally with product and GTM leadership.

Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. As a small, remote-first team that closed a $100M Series A, we move fast and take ownership seriously.

• Lead and mentor a high-performing field engineering team, defining deployment workflows and integration playbooks for repeatability and reliability.
• Set technical strategy for field integrations, implementing scalable solutions and improving field engineering tooling with scripts and automation.
• Partner across engineering, product, security, and mission operations to ensure secure, reliable deployments in customer-owned environments.

TurbineOne builds Mission-AI for the Frontlines, providing a Frontline Perception System that helps military and national security operators detect threats and accelerate decision-making at the tactical edge. The team is composed of experienced technologists, veterans, and operators committed to advancing national security through responsible innovation.

• Systems and network configuration, bare-metal and containerized application deployment, and maintaining large storage clusters.
• Instrumenting performance measurement, improving automation and tooling, and providing on-call support.
• Coordinating bulk data delivery to customers and vendor partners, with occasional physical infrastructure work.

Databento provides real-time and historical market data for modern finance through a unified API. The team includes alumni from top quantitative firms and supports 100% remote work with teammates around the globe.

• Lead a high-performing, fully remote pre-sales team of 6 SEs, near doubling by fiscal year end.
• Drive AI Governance as the top priority, owning technical wins on Docker's largest opportunities.
• Partner with Sales, Product, and Engineering to align technical strategy with rapid market changes.

Docker provides developer tools for building, sharing, and running applications, trusted by over 20 million monthly users. The company is a globally distributed, remote-first team with a culture of innovation and flexibility.

• Design, deploy, and operate enterprise-grade network infrastructure across global data centers and cloud environments.
• Manage cloud networking, BGP routing, VPNs, F5 load balancing, and network automation with Terraform and Ansible.
• Participate in on-call rotation to resolve critical network incidents and support hybrid cloud connectivity.

Applied Systems is an insurtech company that delivers innovative software and services to insurance agencies. With over 40 years of experience, they foster a culture built on values that make their team indispensable to each other.

• Lead the enterprise Implementation Engineering team, driving the shift to a code-first, AI-forward way of working and owning delivery for 250+ enterprise partners.
• Stay hands-on with coding, architecting integrations, and troubleshooting alongside the team, while engaging directly with customers when needed.
• Drive measurable improvements in onboarding velocity and satisfaction by collaborating with Product, Engineering, and Customer Success to translate implementation insights into platform innovations.

RapidSOS is the leading public safety AI company that unlocks mission-critical intelligence for emergency response. The company works with over 700M+ connected devices, 200+ global technology companies, and serves 23,000+ agencies with one million first responders, supporting over one billion emergencies across 16 countries.

• Design and implement core networking services for Docker's Sandboxes platform across local and public cloud environments.
• Build scalable networking infrastructure for microVM orchestration, workload scheduling, and lifecycle management.
• Develop high-performance networking components and ensure reliability, observability, and performance across the infrastructure.

Docker is a developer tooling platform trusted by over 20 million monthly users and 20 billion container image pulls, enabling developers to build, share, and run applications. The company is a globally distributed, remote-first team with offices in Seattle and Paris, focused on innovation in AI and security.

• Lead and scale the Forward Deployed Engineering and Technical Support teams, defining engagement models and operating standards.
• Own the FDE engagement lifecycle from technical discovery to deployment guidance, ensuring customer value.
• Drive operational discipline across support tools and partner with Sales, Product, and Engineering on roadmap alignment.

Runpod is the AI Developer Cloud. More than one million developers use the platform to experiment, train, deploy, and scale AI, and we are a small, remote-first team that has processed over 20 billion inference requests and closed a $100M Series A.

• Lead a high-performing sales engineering team for State/Local Government and K-12 education accounts across the Central US.
• Refine sales engineering processes including discovery, technical qualification, and proof-of-concept to drive strategic growth.
• Coach the team to deliver comprehensive solution proposals, impactful product demonstrations, and expert advice for RFPs.

Zscaler accelerates digital transformation to ensure customers can be more agile, efficient, resilient, and secure through its cloud-native Zero Trust Exchange platform. The company fosters a culture of execution centered on customer obsession, collaboration, ownership, and accountability, building high-performing teams that make an impact quickly.

• Work directly with customers to understand their workflows and define the problem, building production systems on Luma's APIs.
• Own projects end-to-end, from first conversation to deployed system, prototyping and iterating with real data.
• Build around platform gaps and feed patterns back to R&D; use AI to accelerate while relying on engineering judgment.

Luma builds unified general intelligence that can generate, understand, and operate in the physical world. Luma is an equal opportunity employer.

• Design, implement, and operate high-performance GPU networking fabrics and classical datacenter networking components such as routing, security, and external connectivity.
• Own the long-term technical direction and operational strategy for AI interconnect networks, architecting scalable RoCE and Ethernet fabrics for distributed training and inference.
• Collaborate cross-functionally with infrastructure, platform, SRE, and operations teams to integrate networking into the overall platform architecture and drive operational excellence.

Radian Arc provides an infrastructure-as-a-service (IaaS) platform for running cloud gaming, artificial intelligence and machine learning applications inside telecommunication carrier networks. It is a fast-growing scale-up with a global team across the USA, Australia, Central Europe, Malaysia, Singapore and Japan.

• Lead the Bridge engineering organization covering Billing, IAM, Data, Operations, and Platform Infrastructure.
• Architect scalable infrastructure and drive strategic platform evolution for Docker's products.
• Manage a team of 30+ engineers and collaborate cross-functionally to support company growth.

Docker provides developer tooling trusted by over 20 million monthly users. The company is a globally distributed, remote-first team with offices in Seattle and Paris.

• Design, build, and maintain API management software and its underlying stack, including proxying, load balancing, and database support.
• Architecture, implement, and optimize new features, troubleshoot bugs, and perform low-level performance tuning.
• Engage with the open source community and extend Kong core to support the latest industry trends and third-party integrations.

Kong is a leading developer of API and AI connectivity technologies, building the infrastructure that powers the agentic era. It is trusted by Fortune 500 companies and startups alike, with a globally distributed team.

• Work directly with customers to onboard BYO-BGP and troubleshoot network performance issues.
• Research network events to identify technical debt and drive improvements across platforms.
• Compose, review, and test procedure documentation for scheduled maintenance to improve customer experience.

Vultr provides high-performance cloud infrastructure solutions, including Cloud Compute, GPU, Bare Metal, and Storage, with 33 global data centers. As the world's largest privately-held cloud infrastructure company, valued at $3.5 billion, Vultr emphasizes employee care with comprehensive benefits and a culture of inclusion.

• Be an engineering voice in the EST and EU CMS partner ecosystem, owning communication and development during the lifecycle of custom projects and integrations.
• Build technical relationships and scalable processes with partners, guiding them during development and acting as a filter to field, respond, debug, and resolve issues.
• Advocate for partners across BrightSign Engineering, Product, and Business teams to reduce friction for integrations, and engage with Engineering to iterate on APIs for easier integration.

BrightSign is the global market leader in digital signage media players, headquartered in San Jose, CA. They are a rapidly growing company with a focus on innovation and a collaborative engineering culture.

• Apply cloud infrastructure and platform engineering expertise to train next-generation AI systems.
• Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability.
• Build reproducible, containerized environments with valid reference solutions and intentionally defective variants.

Our client is a rapidly growing, venture-backed AI company helping shape the next generation of intelligent systems. Backed by more than $40 million in funding and supported by a rapidly expanding international network of experts, the company is building critical human intelligence infrastructure for the AI economy.

• Own the architecture of the Nexus Exchange end-to-end while staying hands-on in production code.
• Lead the engineering org, managing timelines, roadmaps, and resourcing across senior engineers and pods.
• Drive product and customer outcomes with high-frequency iteration and a business-first mindset.

Nexus is a blockchain built to natively embed the world’s financial system into one compounding system, unifying infrastructure across chains. Headquartered in San Francisco with a growing presence in Buenos Aires, the cross-continental team of engineers and cryptographers is backed by investors like Pantera and Lightspeed.

• Lead the end-to-end engineering strategy, architecture, delivery, and quality of a multi-deployment email security platform.
• Drive an AI-first software development lifecycle by integrating AI-assisted workflows into specification, coding, testing, code review, and deployment.
• Build, mentor, and lead high-performing distributed engineering teams while fostering a culture of accountability and continuous improvement.

The company develops secure software products for enterprise and critical infrastructure customers. It is a global technology organization with a remote-friendly, collaborative culture.

• Lead and grow the Site Defense teams to scale critical traffic and defense platforms.
• Drive large migrations including CDN migration from Fastly to Cloudflare and Thrift to gRPC.
• Maintain high availability and low latency while operating merged on-call responsibilities.

Reddit is a community of communities built on shared interests, passion, and trust, hosting the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet's largest sources of information.

• Partner with mid-market customers as a trusted technical advisor, delivering solution architecture and pre-sales engineering throughout the sales cycle.
• Lead complex sales engagements from discovery through technical validation, including proof-of-concept execution, driving successful outcomes.
• Apply expertise across enterprise infrastructure, data resilience, cloud platforms, and security to solve customer challenges and articulate technical value.

Veeam is a data and AI trust company that helps organizations secure and manage data resilience and security posture. Headquartered in Seattle with over 30 offices globally, they protect more than 550,000 customers worldwide.