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Faang Jobs (NOW HIRING)

Clera

Technical Engineer

San Francisco, CA · On-site

Track record at a top-tier organization (e.g., FAANG, unicorn startup, or equivalent high-caliber engineering environment). * Experience setting up and maintaining data pipelines at scale.

Clera

Technical Engineer

San Francisco, CA · On-site

Track record at a top-tier organization (e.g., FAANG, unicorn startup, or equivalent high-caliber engineering environment). * Experience setting up and maintaining data pipelines at scale.

David AI

Executive Assistant

San Francisco, CA · On-site

$120K - $150K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round ...

David AI

Growth Operations Lead

New York, NY · On-site

$125K - $190K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round ...

Augment CXM

Product Marketing Manager

San Francisco, CA

$181K/yr

Our company currently consists of several successful founders, people who have taken companies to IPO, former FAANG employees, as well as a slew of grads from MIT, CMU, Berkley, Princeton, and other ...

David AI

Software Engineer, Platform

San Francisco, CA · On-site

$160K - $200K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round ...

Reducto

Product Designer

San Francisco, CA · On-site

$150K - $300K/yr

We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top ...

Waymo

Software Engineer, Multiverse

San Francisco, CA · On-site

$170K - $216K/yr

Experience working with large FAANG scale distributed systems. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job ...

David Joseph & Company

Founding Engineer

San Francisco, CA · On-site

$250K - $400K/yr

Anyone pushed out of FAANG in the last two years * Prior work that can be summed up as data pipelines * Background at Salesforce or similarly slow-moving enterprise companies * Taking orders from VC

Augment CXM

Product Marketing Manager

San Francisco, CA · On-site

$181K/yr

Our company currently consists of several successful founders, people who have taken companies to IPO, former FAANG employees, as well as a slew of grads from MIT, CMU, Berkley, Princeton, and other ...

David AI

Deployment Strategist

New York, NY · On-site

$125K - $200K/yr

In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round ...

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How much do faang jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for faang in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers at major tech companies, including FAANG firms, can earn $500,000 or more annually when combining base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in areas like machine learning or distributed systems, and often involves stock equity and performance-based incentives.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs and CFOs, senior investment bankers, specialized surgeons, and successful entrepreneurs. These positions typically require extensive experience, advanced skills, and often involve high levels of responsibility and performance-based bonuses or profit sharing.

What are typical career advancement opportunities at FAANG companies?

FAANG companies offer well-defined paths for career growth, with many opportunities to move from entry-level engineering or analyst roles to senior, lead, or management positions. High performers can pursue technical leadership tracks, such as Staff or Principal Engineer, or shift into product management, data science, or people management roles. These companies often encourage internal mobility, enabling employees to work across different teams, projects, or even global offices. Ongoing learning and innovation are prioritized, giving employees access to mentorship programs, technical training, and resources to support professional development. This dynamic environment makes FAANG companies appealing for those seeking both upward and lateral career advancement.

What are the key skills and qualifications needed to thrive in the Faang position, and why are they important?

To thrive in a FAANG position (at Facebook, Apple, Amazon, Netflix, or Google), you generally need strong technical expertise in software engineering, computer science, or data analysis, usually supported by a relevant degree and a solid portfolio or previous experience. Familiarity with major programming languages (such as Python, Java, or C++), cloud platforms, distributed systems, and sometimes recognized tech certifications are valuable assets. Standout candidates bring exceptional problem-solving ability, collaboration, adaptability, and strong verbal and written communication skills. These skills are vital due to the fast-paced, highly innovative, and collaborative environments that FAANG companies are known for.

What hot tech job pays $775 000?

Senior software engineers, especially those working in high-demand areas like machine learning, AI, or cloud infrastructure at major tech companies, can earn total compensation packages around $775,000 or higher. These roles typically require advanced skills, extensive experience, and often involve stock options or bonuses as part of the compensation package.

What is a FAANG job?

A FAANG job refers to employment at one of the five major technology companies: Facebook (Meta), Amazon, Apple, Netflix, and Google (Alphabet). These roles often involve software engineering, data analysis, or product management and typically require strong technical skills, relevant experience, and competitive hiring processes.

What is a FAANG job?

A FAANG job refers to a role at one of the five major technology companies: Facebook (now Meta), Apple, Amazon, Netflix, and Google. These companies are known for their competitive salaries, strong benefits, and challenging technical interviews. FAANG jobs are highly sought after due to opportunities for career growth, innovative work environments, and prestige within the tech industry.

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What cities are hiring for Faang jobs? Cities with the most Faang job openings:
What are the most commonly searched types of Faang jobs? The most popular types of Faang jobs are:
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Faang jobs near you
Infographic showing various Faang job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Temporary, and 3% Contract. Highlights an 91% Physical, and 9% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
Staff Site Reliability Engineer - Automation and Platform

Staff Site Reliability Engineer - Automation and Platform

Cerebras

Sunnyvale, CA • On-site

$66.50 - $88.50/hr

Full-time

Posted 20 days ago

Job description

Job Summary:
Cerebras Systems builds the world's largest AI chip, significantly transforming AI applications. The Staff Site Reliability Engineer will lead efforts in automating and enhancing the reliability of AI inference services, working closely with product teams and external customers.
Responsibilities:
• Define and implement a robust strategy for delivering and running software reliably and at scale across multiple datacenters and cloud-based solutions.
• Architect self-service platforms and internal tooling that let product teams, external customers, and cluster operators safely trigger and observe critical workflows with minimal handoffs.
• Define and evolve reliability practices for inference workloads, including SLOs and SLIs for latency, throughput, and accuracy stability; error budgets; blameless postmortems; chaos testing; and capacity forecasting across multi-datacenter and on-prem environments.
• Mentor mid-level SREs, support critical incident escalations, and use production pain points to prioritize the highest-leverage automation work.
• Measure and drive impact through clear metrics, including toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows.
• Partner with our early-career SRE sub-team, who own day-to-day operations, to understand their pain points, automate operational toil, and mentor them as platform engineers.
• Collaborate with tech leads and leadership across core, cluster, cloud, and product teams to shift reliability from an operations-only burden to a shared engineering discipline that underpins frontier AI inference at scale.
Qualifications:
Required:
• 8+ years of experience in SRE, infrastructure engineering, or platform engineering, with a strong record of improving automation and reliability at large scale in FAANG, hyperscaler, or similarly demanding environments.
• Deep expertise operating large-scale heterogeneous clusters with a proprietary cloud control plane.
• Proven track record designing and delivering CI/CD or GitOps systems using Argo CD or similar tools, with strong safety and observability built in.
• Hands-on experience with observability systems such as Loki, Tempo, Mimir, and Prometheus.
• Ability to lead complex projects end-to-end, influence cross-functional stakeholders, and communicate technical direction clearly.
Preferred:
• Experience with Bazel or other large-scale build systems in production.
• Background in AI/ML inference systems, including model serving runtimes, GPU or wafer-scale orchestration, latency and accuracy SLOs, or drift monitoring.
• Prior work on predictive autoscaling, chaos engineering, or cost-aware capacity planning for compute-intensive workloads.
Company:
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. Founded in 2015, the company is headquartered in Sunnyvale, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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