Docker Jobs

WRITER is seeking an exceptional software engineer to join its rapidly evolving team. In this pivotal role, you will be at the forefront of expanding human capacity by building the next generation of AI-powered solutions that transform how leading enterprises operate. You will dive deep into developing a state-of-the-art platform that leverages cutting-edge generative AI technologies, from large language models to sophisticated agentic workflows, delivering seamless, scalable, and secure applications that redefine enterprise productivity. This is an unparalleled opportunity to make a tangible impact, shaping the future of AI and contributing to a product that’s changing how the world works.

WRITER is a leading enterprise AI company focused on expanding human capacity through superintelligence. Our platform enables businesses to build and deploy AI agents grounded in their data, powered by enterprise-grade LLMs. We are seeking a Software Engineer, Generative AI to build the secure, scalable foundation for our AI solutions in complex corporate environments. This role is for a well-rounded engineering generalist with a strong focus on generative AI and a whole-systems mindset for architectural design. You will own projects from proposal to deployment, shaping the future of AI and contributing to a product that is changing how the world works.

WRITER is seeking a Software Engineer, Generative AI to join their team. This role is at the forefront of expanding human capacity by building the secure, scalable foundation that allows generative AI solutions to thrive in complex corporate environments. The ideal candidate is a well-rounded engineering generalist who leans heavily into generative AI and brings a whole-systems mindset to architectural design. You will own projects from proposal to deployment, shaping the future of AI and contributing to a product that's changing how the world works. This is a hybrid role based out of San Francisco, New York City, or London.

Scale AI

We are seeking a skilled DevOps Engineer to manage our cloud infrastructure, specifically for AI training and inference workloads. This role will involve working with major cloud providers and utilizing containerization and infrastructure-as-code tools to ensure efficient and scalable operations.

$145k - $195k

Replit

Replit is seeking a Staff Infrastructure Engineer to join their Infrastructure Engineering team. This role focuses on ensuring the reliability, scalability, and performance of Replit's platform, which serves millions of developers globally. The engineer will bridge development and operations, implementing automation and best practices to enable efficient scaling and high availability. The position involves proactively identifying and resolving reliability issues, designing robust monitoring solutions, automating operational tasks, and mentoring the engineering team on reliability principles.

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.

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.

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

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

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 Robotics business unit is focused on solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you will be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You will have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

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's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

$180k - $225k

Scale AI

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.

$216k - $270k

Scale AI

Scale AI is seeking a Software Engineer to join our dynamic Public Sector Engineering team. In this role, you will own the model inference layer, enabling state-of-the-art models, debugging AI tools, managing networking, and tracking AI model metrics. You will lead technical discussions with cloud vendors and customers, debug platform issues, and work with Product to understand features before they break. The position involves designing and implementing secure, scalable backend systems for Public Sector customers, re-architecting the stack for compliant environments, and building integration tests to prevent failures. You will also participate in customer engagements and contribute to the platform roadmap and product strategy.

$138k - $259k

Scale AI

As a Forward Deployed AI Engineering Manager on our Enterprise team, you will serve as the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You will work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This management role combines deep engineering and AI expertise with leadership and customer-facing problem-solving, integrating AI into critical customer workflows.

Replit

Join our Site Reliability Engineering (SRE) team to ensure the reliability, scalability, and performance of Replit's infrastructure serving millions of developers. As a Staff Site Reliability Engineer, you will bridge development and operations, implementing automation and best practices for efficient scaling and high availability. We seek passionate individuals to proactively identify and analyze reliability issues, then design and implement solutions for significant improvements. Your mission includes designing observability, leading incident response, automating tasks, and mentoring the engineering team to embed reliability as a core value.