GCP Jobs

Scale AI

Scale AI is seeking a Backend Engineer to join their team and build the core infrastructure for large-scale GenAI systems. This role involves designing and implementing scalable APIs, distributed data systems, and robust deployment pipelines to ensure production-grade reliability and performance for enterprise AI products. You will be instrumental in shaping how AI systems are deployed and scaled in the real world, working at the forefront of the GenAI revolution and solving complex backend and infrastructure challenges. This is an opportunity to contribute to cutting-edge solutions that transform workflows and drive efficiency for major enterprises.

Scale AI

Scale AI is pioneering the next era of enterprise AI, providing cutting-edge solutions that transform workflows and automate complex processes for large enterprises. The Scale Generative AI Platform (SGP) offers foundational services and APIs for seamless AI integration at production scale. This role focuses on building the core infrastructure for large-scale GenAI systems, designing scalable APIs, distributed data systems, and robust deployment pipelines to ensure production-grade reliability and performance. It's an opportunity to solve hard backend and infrastructure challenges that enable AI to work at enterprise scale and shape how AI systems are deployed and scaled in the real world.

WRITER is seeking a Software Quality Engineer to ensure the reliability, performance, and trustworthiness of their AI-powered work orchestration platform. This role involves defining and implementing quality strategies for enterprise-grade LLMs and AI agents, directly impacting how global companies leverage AI. It's an opportunity to address the unique challenges of AI quality assurance in a fast-paced, evolving field.

WRITER is seeking a Software Quality Engineer to ensure the reliability, performance, and trustworthiness of its AI-powered work orchestration platform. This role involves defining and implementing quality strategies for enterprise-grade LLMs and AI agents, directly impacting how global companies leverage AI. You will be at the forefront of addressing the unique challenges of AI quality assurance in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs, reporting directly to the director of engineering.

Harvey

Harvey is transforming how legal and professional services operate by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. This role offers a chance to build a generational company at an inflection point, with strong product-market fit and investor support, scaling fast and defining a new category. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As a Product Backend Engineer, you will design and operate backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences, building secure, multi-tenant services and orchestrating interactions with LLMs and agentic tools.

Harvey

As a Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you.

Cohere

Cohere is a leading enterprise AI company focused on building cutting-edge foundation AI models and end-to-end products. We are looking for passionate individuals to join our team and contribute to the widespread adoption of AI by training and deploying frontier models for enterprises. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany, and Paris.

Cohere

Cohere is a leading enterprise AI company focused on building cutting-edge foundation AI models and end-to-end products. We are seeking a Manager of Security Engineering to lead and grow a high-performing team, executing the long-term vision for security in alignment with Cohere's product and business goals. This role involves serving as a trusted advisor to leadership, articulating business risks, and prioritizing high-impact initiatives. You will be instrumental in the widespread adoption of AI by ensuring robust security practices across the organization.

$225k - $325k

Replit

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are seeking a mid-level Infrastructure Vulnerability Management Engineer with a strong background in Cloud Security, DevSecOps, and Infrastructure-as-Code (IaC). In this role, you will bridge the gap between security, compliance, DevOps, and Platform engineering teams. You will identify infrastructure misconfigurations, secure multi-cloud environments, and manage continuous vulnerability lifecycles across cloud workloads, containers, and data repositories to satisfy strict regulatory compliance frameworks. You will also serve as a technical infrastructure responder during security incidents, deploying real-time cloud or network countermeasures to protect our production ecosystem. What You'll Do Core Responsibilities - Infrastructure Scanning & Triage: Perform continuous security scanning across our cloud posture and workloads. Review, validate, and prioritize flaws and misconfigurations based on CVSS scores, real-world exploitability, and infrastructure network exposure. - Posture Management & Visibility: Own and optimize Cloud Security Posture Management (CSPM), Kubernetes Security Posture Management (KSPM), and Data Security Posture Management (DSPM) tools to ensure uniform compliance, prevent data leakage, and maintain hardened baselines. - Infrastructure-as-Code (IaC) Security: Configure, tune, and embed automated IaC security scanning tools into CI/CD pipelines to identify architectural risks (e.g., overly permissive IAM, public S3 buckets/Cloud Storage) before they are deployed to production. - Workload & Container Security: Manage the continuous vulnerability scanning lifecycle for container images, registries, and Virtual Machines (VMs), partnering with SRE and Platform teams to build automated base-image patching and rolling upgrade pipelines. - Compliance-Driven Tracking: Track, document, and manage infrastructure vulnerabilities according to strict compliance SLAs (e.g., SOC 2, ISO 27001, PCI-DSS). Maintain audit-ready evidence of infrastructure remediation timelines and exception approvals. - Executive Reporting & Alerting: Escalate and report critical production exposures directly to the CISO and senior leadership. Maintain dashboards and alerting mechanisms that visualize infrastructure risk trends and cloud compliance posture. - Remediation Collaboration: Partner with SRE, DevOps, and Platform teams to provide clear infrastructure mitigation paths. Assist in writing, reviewing, or modifying cloud configuration templates directly when necessary to resolve security flaws. - Incident Response Support: Assist Incident Response teams during active cloud or host-level breaches. Help develop and implement immediate, real-time cloud, network, or IAM configuration countermeasures to contain threats. Required Skills & Experience - Experience: 5 years of experience in Cloud Security, DevSecOps, or Systems Engineering roles. - Cloud Infrastructure Depth: Strong foundational experience working with multi-cloud environments (Deep GCP expertise preferred, with working knowledge of AWS or Azure). - Posture Management & Scanning Tooling: Hands-on experience operating modern infrastructure security platforms such as Wiz, Orca, Prisma Cloud, Lacework, or cloud-native options (GCP Security Command Center). - IaC and Automation Fluency: Strong proficiency with Infrastructure as Code platforms (Terraform, Pulumi) and GitOps deployment workflows. Ability to evaluate and configure IaC scanners like Checkov, Tfsec, or KICS. - Containerization & Orchestration: Deep understanding of Docker/container security and Kubernetes architectures (e.g., GKE, EKS), including runtime security, network policies, and workload identity. - Compliance Awareness: Understanding of how infrastructure configurations and vulnerability management map to security compliance frameworks like SOC 2, ISO 27001, CIS Benchmarks, or NIST. What We Value - Systems Thinking: The ability to see the "big picture" and understand how security decisions impact the entire stack. - Technical Influence: The ability to drive technical alignment across the organization through expertise and collaboration rather than direct authority. - Autonomy: Comfortable leading major technical initiatives and driving outcomes with minimal oversight. - Problem-Solving Mindset: A passion for breaking down complex security challenges into elegant, scalable engineering solutions. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Meet the Replit Agent - Replit: Make an app for that - Replit Blog - Amjad TED Talk Interviewing + Culture at Replit - Operating Principles - Reasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Replit

The Fraud team is the front line defending Replit's platform from exploitation, detecting and shutting down phishing deployments, preventing cryptomining on free-tier infrastructure, stopping LLM token farming, and keeping bad actors from weaponizing the platform against our users. This is adversarial work where attackers adapt constantly, and you will build the detection systems, heuristics, and automated responses to stay ahead of them. This role offers unique experience applying AI to security problems in production, building guardrails for AI-generated code, detecting prompt injection attacks at scale, and using LLMs as a defensive tool against abuse. You will own problems end-to-end, from identifying emerging abuse patterns to shipping the systems that stop them at scale.

Replit

The Risk team at Replit is on the front lines, defending the platform from exploitation by detecting and shutting down malicious activities. This adversarial role involves staying ahead of constantly adapting attackers by building detection systems, heuristics, and automated responses. You will tackle unique, AI-native problems such as building guardrails for AI-generated code, detecting prompt injection attacks at scale, and leveraging LLMs as a defensive tool against abuse. This is a hands-on opportunity to apply AI to security problems in a production environment with real attackers, owning problems end-to-end from identifying abuse patterns to shipping scalable solutions.

Replit

Replit is seeking a Staff Software Engineer for its Trust & Safety team to defend the platform from exploitation. This role involves detecting and shutting down various forms of abuse, including phishing, cryptomining, and LLM token farming, by building advanced detection systems and automated responses. The position offers unique challenges at the intersection of AI and security, focusing on problems like building guardrails for AI-generated code, detecting prompt injection at scale, and using LLMs defensively. You will own problems end-to-end, from identifying abuse patterns to implementing solutions that stop them at scale, gaining hands-on experience applying AI to security in a production environment with real attackers.

Replit

The Fraud team at Replit is on the front lines, defending the platform from exploitation by detecting and shutting down malicious activities. This adversarial role involves building detection systems, heuristics, and automated responses to combat threats like phishing, cryptomining, LLM token farming, and platform weaponization. You will work on unique AI-native security challenges, including building guardrails for AI-generated code, detecting prompt injection attacks at scale, and leveraging LLMs for defense. This is an opportunity to gain hands-on experience applying AI to security problems in a production environment with real attackers, owning problems end-to-end from identifying abuse patterns to shipping scalable solutions.

Replit

The Risk team at Replit is responsible for defending the platform from exploitation by detecting and shutting down malicious activities such as phishing, cryptomining, and LLM token farming. This role involves adversarial work, where you will build detection systems, heuristics, and automated responses to stay ahead of constantly adapting attackers. A unique aspect of this role is the AI-native nature of Replit's platform, offering hands-on experience applying AI to security problems in a production environment. You will own problems end-to-end, from identifying emerging abuse patterns to shipping systems that stop them at scale, working on novel problems like building guardrails for AI-generated code and detecting prompt injection attacks.

Replit

The Trust & Safety team at Replit is on the front lines, defending the platform from exploitation by detecting and shutting down malicious activities such as phishing, cryptomining, and LLM token farming. This role involves adversarial work, requiring the development of detection systems, heuristics, and automated responses to stay ahead of constantly adapting attackers. A unique aspect of this position is its focus on AI-native security challenges, including building guardrails for AI-generated code, detecting prompt injection attacks at scale, and leveraging LLMs for defense against platform abuse. The role offers hands-on experience applying AI to security problems in a production environment with real attackers, with opportunities to own problems end-to-end from identifying abuse patterns to shipping scalable solutions.

Scale AI

Scale AI is seeking a Director of Forward Deployed Engineering to lead delivery for their largest and most strategic enterprise accounts. This role involves embedding elite engineers with Fortune 500 customers to ship deeply integrated AI agents, overseeing everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure required for production readiness. The Director will partner closely with Product and core Engineering teams to ensure efficient delivery, translating field learnings into reusable platform capabilities. This is a high-autonomy, founder-mindset position focused on owning outcomes end-to-end, scaling a high-performing team, and shaping enterprise AI adoption.

Scale AI

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models. The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

$216k - $270k

Scale AI

The Public Sector software engineers at Scale create core product building blocks for forward-deployed teams developing agentic capabilities across multiple domains. This role involves building systems to ingest and process federal datasets for real-time decision-making in contested environments, and developing novel agentic capabilities such as multi-layered guardrails, optimized data retrieval, and asynchronous agent orchestration. As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities, mentor other engineers, and define technical strategy for key agentic components. You will ensure system reliability and performance across various security classifications and network types, and communicate technical trade-offs to senior stakeholders to influence long-term product strategy.

$189k - $362k

Scale AI

Scale is seeking Senior Software Engineers to join our Public Sector team. You will build core product components that enable forward-deployed teams to develop agentic capabilities across multiple domains. This involves creating systems to ingest and process federal datasets for real-time decision-making in challenging environments. You will lead the development of new agentic capabilities, including multi-layered guardrails, optimized data retrieval, orchestration of asynchronous agents, automated deviation alerts, and decision-path illustration.

$162k - $311k

Scale AI

Scale's Physical AI business unit is focused on solving data bottlenecks in Robotics, Autonomous Vehicles, and Computer Vision. This role involves applied research and developing ML pipelines for processing, training, and fine-tuning data collected by Scale, with an emphasis on optimizing algorithms and pipelines for efficient GPU execution in the cloud. You will advance research, shape Scale's offerings, and expand the frontier of data and model evaluation for Physical AI. As an ML Systems Engineer, you will design and build platforms for scalable, reliable, and efficient serving of foundation models tailored for physical agents, powering both internal research and external customer use cases.

$249k - $311k