Cloud engineer • visalia ca
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 ...Show more
Location Status: Work will be primarily performed remotely from home office 5 days per week.Employee may be required to utilize personal phone and internet services to perform telecommuting with re...Show more
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For over 16 years, Trilyon has been at the forefront of providing comprehensive global workforce solutions and staffing services.Leveraging our extensive expertise across multiple domains such as C...Show more
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Are you a network engineer who also enjoys scripting or programming—and is curious about how data powers intelligent systems? Our client is building vertically integrated networking systems and lev...Show more
Cybersecurity Engineer - Blue Team** **About the Role** Offensive AI benchmarks are everywhere.Blue-team evaluation is almost nonexistent.We're building the infrastructure to change that — credible...Show more
Disclaimer: This is not a federal position.This role is offered through a partnership agreement and does not constitute an NRCS hiring action.This position is a non-federal role funded through an e...Show more
Monday-Thursday-9 Hours, Friday-4 Hours.Creeks is seeking a Civil Engineer to work under the direction of a licensed Civil Eningeer on our Public Works team.Responsibilities for this position inclu...Show more
Cybersecurity Engineer - Blue Team** **About the Role** Offensive AI benchmarks are everywhere.Blue-team evaluation is almost nonexistent.We're building the infrastructure to change that — credible...Show more
The Hotel’s Maintenance Technician undertakes the responsibility of preserving the building’s overall operational condition and functionality.A Maintenance Technician is a thorough professional wit...Show more
IPS is seeking innovative and dynamic engineers to join our team and make a significant impact by keeping our world advancing.At IPS, we innovate, inspire, and transform.We’re looking for technical...Show more
QK is seeking a Senior Civil Engineer to lead and deliver diverse engineering projects while mentoring teams and supporting client relationships.This role is ideal for a licensed engineer who enjoy...Show more
Bring your service-oriented attitude, desire to solve problems with facts and data, and out-of-the-box ideas to an expanding Managed Service provider looking for explosive business growth.We are se...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...Show more
The average salary range is between $ 110,677 and $ 116,526 year , with the average salary hovering around $ 115,104 year .
The average salary range is between $ 110,421 and $ 167,056 year , with the average salary hovering around $ 131,648 year .
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.
