AWS Jobs

Harvey

Harvey is seeking a Production Engineer to help build and operate its core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. This role is crucial for enabling engineering teams to move quickly and operate reliable services at scale. You will focus on improving the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform, solving complex production challenges across fleet management, capacity planning, automation, and operations. You will collaborate closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. The ideal candidate will have a systems-thinking mindset and a passion for building simple, reliable, and scalable systems.

$161k - $242k

Harvey

Harvey is seeking a Production Engineer to build and operate its core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. This role is crucial for enabling engineering teams to move quickly and operate reliable services at scale. You will focus on improving the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform, solving complex production challenges across fleet management, capacity planning, automation, and operations. You will collaborate closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth.

$231k - $340k

Harvey

Harvey is seeking a Production Engineer to build and operate its core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. This role is crucial for enabling engineering teams to move quickly and operate reliable services at scale. You will focus on improving the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform, solving complex production challenges across fleet management, capacity planning, automation, and operations. You will collaborate closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth.

$231k - $340k

Harvey

Harvey is seeking a Production Engineer to help build and operate its core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. This role is crucial for enabling engineering teams to move quickly and operate reliable services at scale. You will focus on improving the reliability, scalability, security, and efficiency of Harvey’s infrastructure platform, solving complex production challenges across fleet management, capacity planning, automation, and operations. You will collaborate closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey’s rapid growth. The ideal candidate will have a systems-thinking mindset and a passion for building simple, reliable, and scalable systems.

$161k - $242k

At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need.

At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need.

WRITER is seeking a Senior Support Engineer to help enterprise customers succeed with their AI platform. This role involves acting as a leading voice for the support function, handling complex customer issues, and collaborating with various internal teams. The ideal candidate will leverage an automation-first mindset and utilize WRITER's AI tools to solve problems efficiently and scale support operations.

WRITER is seeking a Senior Support Engineer to help their enterprise customers succeed with their AI platform. In this role, you will be a key voice in the support engineering function, tackling complex customer issues and driving value across their businesses. You will collaborate with various internal teams, including Customer Success, Product, and Engineering, to ensure excellent customer experiences. An automation-first mindset is crucial, as you will leverage WRITER's AI tools to scale support operations and solve problems efficiently.

thinkingmachines

Thinking Machines Lab is seeking an Endpoint Engineer to join their IT team. This role will focus on building secure infrastructure and efficient processes for an all-Mac environment, managing the endpoint fleet as a distributed platform with production-engineering practices. The team utilizes version-controlled workflows for endpoint configurations, security policies, scripts, and software deployments, incorporating testing, review, staged rollouts, and rollback capabilities. The Endpoint Engineer will collaborate closely with IT, Security, and Identity teams to ensure a secure and reliable employee computing experience.

$200k - $325k

WRITER is seeking a Senior Support Engineer to help enterprise customers succeed with their AI platform. This role involves acting as a leading voice for the support function, handling complex customer issues, and collaborating with various internal teams. The ideal candidate will leverage an automation-first mindset and utilize WRITER's AI tools to solve problems efficiently and scale support operations.

Fal

fal is building the generative media ecosystem for the next generation of AI products, providing the infrastructure, tools, and model access needed to scale from idea to production. The company offers a unified platform for high-performance inference, orchestration, and observability, enabling new categories of AI-native products. As generative media reshapes industries, fal is becoming the foundation for ambitious teams. fal – Features & Labels, Inc. is seeking a Senior Solutions Architect to join their San Francisco, CA office. This role involves engaging with clients to understand their technical needs, recommending appropriate models and services, and preparing technical presentations. The architect will collaborate with internal teams to tailor solutions, gather client insights for product development, and act as a lead technical advisor for enterprise customers and AI model providers, translating business requirements into scalable solution architectures on the fal.ai platform. A significant aspect of the role includes cultivating relationships with Chinese AI model providers and technology companies, acting as the primary technical contact and representing fal.ai at industry events, including those in Greater China.

$25k - $35k

Anthropic

Anthropic is seeking a Partner Enablement leader to develop and manage programs that empower our cloud partner ecosystem, including AWS, Google Cloud, and Microsoft Azure. This role is crucial for ensuring that partner sales and technical teams are equipped to identify, qualify, and successfully close opportunities involving Anthropic's AI products. You will be responsible for building the end-to-end enablement infrastructure, encompassing onboarding, launch readiness, sales and technical training, certification, co-sell playbooks, and performance metrics. Additionally, you will ensure Anthropic's internal go-to-market teams understand our cloud partnerships, co-sell mechanics, and offering nuances to effectively collaborate with hyperscalers. This is a foundational role where you will design the operating model while executing against a rapid launch schedule, collaborating closely with Partnerships, Applied AI, Product Marketing, Sales, and partner organizations.

Anthropic

Anthropic is seeking an AWS Partnerships Lead to spearhead and expand our AWS co-sell strategy throughout Southern Europe. This is a unique opportunity to establish the commercial collaboration model between Anthropic and AWS in the region from the ground up. You will represent Anthropic to AWS sales teams in Southern Europe, develop joint opportunity pipelines, lead co-selling efforts with enterprise clients, and shape how cutting-edge AI technology reaches the market through one of our most strategic partnerships. This role is ideal for someone who thrives in ambiguity, possesses a strong background in cloud partnerships, and is eager to contribute to the safe and responsible commercialization of advanced AI.

Cohere

Cohere is seeking an experienced Program Manager to join our customer-facing Program Management team, focusing on UK public sector and defence accounts. This role requires a deep understanding of technical program delivery, the complexities of frontier AI models, and the unique needs of government and defence organizations. You will act as the crucial link between Cohere's advanced AI capabilities and the specific requirements of UK Government and defence clients, navigating intricate procurement processes, stringent security demands, data sovereignty concerns, and regulatory compliance to ensure successful deployment and scaling of our AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.

$12k - $18k

Cohere

Cohere is seeking an experienced Program Manager to join its customer-facing Program Management team, focusing on public sector and defense accounts in Europe, particularly in France. This specialized role requires an individual who understands technical program delivery, the complexity of frontier AI models, and the unique requirements of government and defense organizations. You will act as the critical bridge between Cohere's AI capabilities and the needs of Ministries, Agencies, and defense organizations across Europe, navigating complex procurement processes, security requirements, data sovereignty, and regulatory compliance to ensure successful deployment and scaling of AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for sensitive government and defense engagements.

Anthropic

Anthropic is seeking an experienced software engineer to build the platform for governance, risk, and compliance (GRC). This role involves consolidating compliance information from various systems into a unified platform. You will develop pipelines, integrations, and services to automate checks, create real-time dashboards, and generate evidence for decision-making and market expansion. As an early team member, you will collaborate with stakeholders across multiple departments to transform manual compliance processes into scalable, reliable systems. You will lead projects end-to-end and leverage Claude through agentic workflows for tasks like evidence collection and monitoring. Experience building internal platforms, data pipelines, or privacy systems is beneficial, and a compliance background is not required.

Anthropic

We are seeking an Engineering Manager, GRC to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them. At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Anthropic

Anthropic is seeking experienced software engineers to join its Platform organization. This team builds the foundational primitives that accelerate product development and owns the infrastructure and systems that enable reliable, scaled product shipping for internal and external users. You will independently scope complex, multi-month projects, drive cross-organizational alignment, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, impacting the platform used by hundreds of thousands of companies and engineers daily.

Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to ensure AI is safe and beneficial. The Capacity Engineering team plays a crucial role in managing one of the industry's largest and fastest-growing infrastructure fleets. This team is responsible for ensuring all infrastructure resources are accounted for, well-utilized, and efficiently allocated. As an engineer on this team, you will develop the production systems that power these efforts, including data pipelines for telemetry ingestion, observability tools for real-time fleet health visibility, and performance instrumentation to measure hardware utilization across various workloads. You will write production-quality code, operate at scale with Kubernetes-native infrastructure, and significantly influence decisions regarding Anthropic's substantial infrastructure spend. This role involves close collaboration with research engineering, infrastructure, inference, and finance teams, requiring comfort across data engineering, systems engineering, and observability in a high-autonomy environment.

Anthropic

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.