Cloud • concord nc
Role Overview** Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.We're ...[internal_linking.show_more]
Role Overview** Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.We're ...[internal_linking.show_more]
Note: This is an educational program, not a job.Successful completion of the program does not guarantee employment but will equip you with valuable skills for the technology job market.Are you pass...[internal_linking.show_more]
MUST BE ABLE TO WORK ON W2 WITHOUT SPONSORSHIP, NO C2C* * *Description:* We are looking for Senior Hadoop Developers to support Data and Analytics Platform, Information Management and Solution Deli...[internal_linking.show_more]
Mercor is hiring SOC Investigation Specialist** on behalf of high-growth technology and enterprise partners building next-generation SOC automation and AI-driven investigation systems.This role is ...[internal_linking.show_more]
Clients need a single point of contact who actually understands hardware, not just a relationship manager who has to relay every technical question.Projects span hardware deployment, structured cab...[internal_linking.show_more]
GM's Motorsports Software team.NASCAR, IndyCar, IMSA, and Formula 1.We are the "pit crew" for the engineering teams, ensuring the innovative cloud-based infrastructure, software development platfor...[internal_linking.show_more]
Role Overview** Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.We're ...[internal_linking.show_more]
Mercor is hiring SOC Investigation Specialist** on behalf of high-growth technology and enterprise partners building next-generation SOC automation and AI-driven investigation systems.This role is ...[internal_linking.show_more]
About Mercor’s talent network** Join our DevOps / Platform Engineer Expert Network to connect with leading AI labs and companies seeking your expertise.This is an open application for future contra...[internal_linking.show_more]
Mercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in. We're seeking experienced cloud-computing professionals from major hyperscalers and Fortune 500 enterprises running large cloud deployments (e.g., AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, and Fortune 500 platform / infrastructure teams) to recreate the digital workspaces they run every day and design the tasks that genuinely challenge state-of-the-art AI. You'll bring your expertise in cloud architecture, site reliability, platform engineering, DevOps / DevSecOps, or cloud FinOps to build a high-fidelity environment that mirrors the tools, files, and cross-functional workflows of a modern cloud organization — and then author tasks grounded in the programs you actually run today. Key Responsibilities - Build a realistic digital workspace centered on the Drive folders you use day-to-day — the architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., HashiCorp Terraform, Datadog / Splunk, GitHub Actions, Okta) - Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents - Collaborate with other cloud-computing experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor - Work asynchronously with research teams to refine task designs and evaluation criteria for cloud-computing agent benchmarks - Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems Ideal Qualifications - 3+ years of full-time experience at a major hyperscaler (AWS, Azure, GCP, Oracle Cloud), a cloud-data platform (Snowflake, Databricks), or a Fortune 500 platform / infrastructure team - Background in one or more areas such as : - Cloud architecture / solutions engineering (multi-account, multi-region, hybrid) - Site reliability engineering or production engineering - Platform / developer-experience engineering (IaC, internal developer platforms) - DevOps / DevSecOps, CI / CD, or container / Kubernetes operations - Cloud security, compliance (SOC 2, ISO 27001, FedRAMP), or cloud FinOps - Certifications a plus : AWS Solutions Architect / SysOps / DevOps, Azure Solutions Architect, GCP Professional Cloud Architect, CKA / CKAD - Day-to-day use of HashiCorp Terraform / Pulumi, Splunk / Datadog, GitHub Actions / CircleCI, and Okta / Microsoft Entra ID - Strong analytical thinking and writing — able to translate cloud-ops workflows into structured task specs Compensation Note This project is expected to begin on an effective hourly rate, but will transition to a model where experts are compensated based on throughput of quality work rather than a flat accruing hourly rate. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Backed by investors including Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey. Thousands of professionals across domains contribute to projects shaping the next generation of AI systems.
