Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents.
Provide technical leadership for Kubernetes platform operations and supporting infrastructure services.
Mentor and support AI Infrastructure & Platform Operations Engineers, sharing technical knowledge through documentation and training.
Mirantis helps organizations ship code faster on public and private clouds, providing a public cloud experience on any infrastructure from the data center to the edge. The company serves many of the world's leading enterprises, including Adobe, DocuSign, Liberty Mutual, and PayPal, and is a leader in container management.
Serve as primary technical advisor to customers, leading discovery sessions and translating business priorities into AI-enabled solutions.
Lead cross-functional engineering teams to design and deploy secure, scalable, and high-performing AI software systems.
Mentor engineers, establish engineering standards, and drive delivery of enterprise-scale AI solutions.
LTS delivers AI-powered software solutions for complex business and mission challenges. The company values innovation, growth, collaboration, and quality, and offers a culture that rewards ambition and performance.
Lead design, development, and deployment of AI-powered software solutions as a trusted advisor to customers.
Translate complex customer needs into scalable solutions using LLMs, RAG, and modern engineering practices.
Mentor engineering teams, drive technical strategy, and contribute to proposals and demonstrations.
LTS is a technology company delivering AI-powered software solutions for complex business and mission challenges. They prioritize innovation, growth, collaboration, and quality, offering a comprehensive benefits package.
Own the architecture, development, and evolution of the AI-native answering service platform.
Actively write and review production code, set technical direction, and build the engineering team.
Partner with product and clinical teams to align technical roadmap with business strategy.
PerfectServe provides clinical communication and physician scheduling solutions for healthcare. The company has 400+ employees, 30,000+ customers, and $100M+ in annual revenue, fostering a collaborative and tech-forward culture.
Build and operate production-grade model serving infrastructure using vLLM, TGI, or Triton frameworks.
Design and implement auto-scaling, multi-model architectures, and intelligent request routing for ML inference.
Optimize GPU utilization, memory efficiency, and observability to ensure low-latency, cost-effective systems.
They are a distributed cloud infrastructure startup building AI-native cloud services with GPU-powered compute. The company is well-funded, fast-scaling, and operates in a remote-first environment with a focus on sustainability and decentralization.
Build and maintain infrastructure platforms for over 200 backend services running on Kubernetes clusters with 40,000+ cores.
Lead and mentor other engineers, own complex infrastructure failures, and participate in a shared on-call rotation.
Drive cloud cost efficiency, estimate schedules, and use AI tools as a first-class collaborator in daily workflows.
Life360's mission is to keep people close to the ones they love through location sharing, safe driver reports, and crash detection. The company serves approximately 97.8 million monthly active users across more than 180 countries and has more than 500 remote-first employees.
Monitor, operate, and support production AI infrastructure platforms.
Investigate and resolve infrastructure, networking, hardware, and platform-related incidents.
Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve technical issues.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure infrastructure for AI and data-intensive applications. The company is growing and invests heavily in AI infrastructure and platform services.
Shape and deliver a next-generation AI-driven digital product at scale, guiding architecture and execution of a complex real-time system.
Act as the key bridge between strategic vision and engineering execution, ensuring technical excellence and product impact.
Mentor and unblock a senior engineering team across frontend, backend, and AI disciplines while participating in agile ceremonies.
This company is building a next-generation AI-driven digital product at scale. The environment is highly collaborative, involving close partnership with engineering, design, product, and client stakeholders.
Lead investigation and resolution of complex infrastructure, networking, and platform incidents.
Provide technical leadership for Kubernetes platform operations and drive automation initiatives.
Mentor engineers and develop operational standards, runbooks, and best practices.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. Serving enterprises like Adobe, PayPal, and Volkswagen, Mirantis is committed to open standards and freedom from lock-in.
Act as the primary NVIDIA AI Enterprise and vector database expert for HyperPOD customer environments, owning end-to-end triage across GPU, NVAIE services, and storage.
Author and maintain support triage runbooks, diagnostics bundles, and collaborate on observability dashboards for platform health and RAG metrics.
Build hands-on labs, PoCs, and reusable technical assets to accelerate support readiness and partner success.
DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. They are a global company with strong innovation, customer-centricity, and a team of passionate professionals committed to shaping the future of AI and data management.
Lead a team of around 20 engineers across backend platform, frontend platform, DevOps, architecture, accessibility, and quality assurance.
Set the platform technology strategy and own its execution, from cloud infrastructure to internal developer platform to AI tooling.
Mentor engineers and managers, providing support for role and career development.
Frontify helps brands turn ideas into impact by transforming how teams organize digital assets, collaborate on projects, and create engaging campaigns. With headquarters in St. Gallen, Switzerland, and offices in London and New York City, we share a vibrant culture built on creativity, collaboration, inclusion, and joy.
Partner with strategic enterprise customers as a trusted technical advisor, guiding them through their Camunda adoption journey with customized technical adoption plans.
Deliver hands-on technical guidance on platform architecture, AI-enabled automation, LLM orchestration, agent frameworks, and scalable cloud infrastructure.
Proactively remove risks through health checks, escalation management, and cross-functional collaboration with Camunda teams to drive measurable customer outcomes.
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex business processes. With over 700 organizations worldwide, including 9 of top 10 US banks, Camunda is a fully remote, global, AI-first organization that has been named to GP Bullhound's Top 100 Next Unicorn list and is Great Place to Work certified.
Own and scale AI compute and deployment platforms including Kubernetes and GitOps pipelines.
Build inference infrastructure and observability stacks for LLM-powered workflows.
Drive security, compliance, and governance at the systems level in a regulated healthcare environment.
Hims & Hers is a leading health and wellness platform focused on making healthcare accessible and personal. As a publicly traded company on the NYSE (HIMS), it offers flexible/remote work and a culture centered on innovation and employee well-being.
Develop, deploy, maintain, operate, and support an Agentic AI Developer Platform.
Strongly oriented towards technical implementation and operation of the platform with hands-on experience.
Collaborate and lend experience to less experienced team members as needed.
We build modern Machine Learning systems for demand planning and budget forecasting, offering custom AI solutions to optimize cloud-based systems. We are a remote startup with a culture that values being data nerds, open team players, ownership, and a positive mindset.
Lead and mentor a team of Forward Deployed Engineers deploying the North platform.
Drive end-to-end deployment in private cloud and on-premises environments for customer success.
Collaborate with Product, Engineering, and Sales while optimizing cloud infrastructure and K8s services.
Cohere is a security-first enterprise AI company building cutting-edge foundation AI models and end-to-end products for real-world business problems. They are a global technology company with offices in Toronto, San Francisco, London, New York City, Montreal, Seoul, Germany, and Paris, employing a team of researchers, engineers, and designers.
Define and execute the platform engineering vision, roadmap, and operating model.
Lead teams building enterprise-grade application platforms, agentic AI, integrations, and data infrastructure.
Build and manage organization across platform engineering, AI platform, and data engineering.
Firstup improves employee experience through an intelligent communication platform serving 40 Fortune 100 companies and over 17 million employees daily. The company fosters a high-growth, inclusive environment with a casual and remote-friendly culture.
Lead forward deployed engagements across APAC, from scoping technical goals to production deployment.
Own the region's technical calls as the in-region anchor and escalation point for Kubernetes and platform problems.
Define reusable reference architectures and deployment patterns that engagements across the region build on.
Stacklok builds the control plane for enterprise AI agents, enabling organizations to run, govern, and secure them on the infrastructure they already trust. Led by two of the creators of Kubernetes, the company is a focused, collaborative team with deep experience in open source, cloud-native technologies, security, and developer tools.
Lead a team of technical consultants and project managers for Zscaler solution deployments in the AMS Central Region.
Manage cross-functional relationships across Sales, Customer Success, Product Management, and Support.
Drive operational excellence through process improvement, tooling, and effective KPI management.
Zscaler accelerates digital transformation to ensure customers can be more agile, efficient, resilient, and secure. With the world's largest security data lake powering its cloud-native Zero Trust Exchange platform, the company fosters a culture of execution centered on customer obsession, collaboration, and accountability.
Lead forward-deployed engagements end to end, from scoping customer goals to production deployment of Stacklok's Enterprise platform.
Design and deliver changes to the platform's Kubernetes deployment, contributing fixes back to the product and unblocking enterprise adoption.
Act as technical SME for enterprise adoption, answering deep platform and Kubernetes questions while coaching teammates in your areas of expertise.
Stacklok is building the control plane for enterprise AI agents, enabling organizations to run, govern, and secure them on Kubernetes. The company is an early-stage startup founded by two of the creators of Kubernetes, with a strong open source focus.
Design, train, evaluate, and ship ML systems for governance and security, starting with prompt injection detection and behavioral anomaly detection.
Build supporting infrastructure including data pipelines, feature stores, model serving, and evaluation harnesses.
Set technical direction for ML work, own architecture, evaluation methodology, and model lifecycle.
Docker provides developer tools for building, sharing, and running applications across Docker Desktop, Docker Hub, and Docker Scout. With over 20 million monthly users and a globally distributed remote-first team, Docker is trusted by solo founders to the world's largest companies.