Azure Jobs

Skild AI is seeking a Software Engineer to develop and optimize the software infrastructure and tools for training cutting-edge AI models. This role involves building scalable and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to integrate new algorithms and techniques, pushing the boundaries of AI in real-world robotics. The position also focuses on exploring efficient data utilization within training pipelines.

Scale AI

Scale's International Public Sector team is focused on using AI to address critical challenges facing the public sector globally. As a Full Stack Software Engineer (Forward Deployed), you will collaborate directly with public sector counterparts to quickly build full-stack AI applications that solve their most pressing challenges and impact millions of citizens. You will be a key technical strategist, architecting robust AI applications, guiding cloud infrastructure evolution, and directing the development of core platforms. This role involves mentoring staff and bridging the gap between real-world client needs and the core platform by translating lessons learned into reusable patterns.

OpenAI

The Scaled Abuse team at OpenAI is responsible for protecting the company's products and customers by detecting, preventing, and responding to fraudulent and abusive behavior at scale. This role involves building and operating backend and data systems that power real-time detection, investigation workflows, and enforcement. The work requires a blend of engineering and abuse expertise, partnering with various teams to understand attack patterns and harden defenses. The ideal candidate is comfortable with ambiguity, can quickly learn new codebases, and can propose pragmatic improvements to enhance system resilience.

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As a Software Engineer, Infrastructure, you will be responsible for designing, building, and maintaining the core systems that power our AI platform. Your focus will be on ensuring Sierra's infrastructure is secure, reliable, and scalable, empowering product teams to deliver with speed and confidence.

Harvey

Harvey is transforming legal and professional services by combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise. We are seeking a Trust Engineer to be the engineering backbone of our compliance and assurance programs. In this role, you will report to the Head of Trust and be responsible for building and owning the data infrastructure, automation tooling, and AI-powered workflows that enable our Trust team to scale audit readiness, continuous monitoring, and risk reporting. This involves selecting compliance automation platforms, building a compliance data layer, and developing AI-powered workflows for automated evidence collection, control testing, and assurance reporting.

$220k - $330k

Harvey

Harvey is transforming legal and professional services by integrating frontier agentic AI with an enterprise-grade platform. We are seeking a Staff Technical Program Manager, Platform & Infrastructure to lead critical scaling initiatives. This role involves acting as the central point of contact across Core Infrastructure, Backend Platform, and product engineering teams, as well as cross-functional departments like Security and Finance. You will be responsible for multi-quarter horizontal programs focused on cloud migrations, cost optimization, capacity planning, BYOC, and building foundational internal platform elements. The position requires deep technical engagement with senior engineers, aligning leadership on long-term plans, and driving programs from initial concept to successful delivery.

$188k - $278k

LangChain is seeking its first Federal Partner Alliances Lead for the US to own the systems integrator and consulting partner ecosystem within the US Federal market. This senior individual contributor role will build and drive the federal partner strategy from the ground up, focusing on establishing deep, revenue-generating relationships with major Federal Systems Integrators (FSIs) and specialized boutique partners. The ideal candidate is an operator who thrives in a fast-growing startup environment, understands the nuances of developer tools and enterprise AI within federal compliance, and has a proven track record of driving revenue through partner channels. This role is part of the GTM organization and will collaborate closely with field sellers, customer engineering, and product leaders to integrate LangChain into partner delivery practices and solution portfolios for federal AI programs.

$190k - $270k

Sarvam is building the bedrock of Sovereign AI for India, developing a full-stack AI platform across research, models, infrastructure, and applications. We partner with leading enterprises and public institutions, backed by prominent venture capital firms. We are hiring a Backend Engineer to work on our Studio media platform, which includes AI dubbing, live translation, and foundational services for voice cloning, stem separation, lip sync, and music generation. You will build and maintain production services, ML pipeline libraries, and platform SDKs to enable multilingual media processing at scale for our enterprise customers and Studio users.

Mistral AI

Mistral AI is seeking a founding engineer for its Applied AI Site Reliability Engineering (SRE) sub-team. This role is crucial for building and operating a framework that ensures the reliability and sustainability of Mistral's AI solutions across all customer accounts, whether hosted by Mistral or the customer. You will operate in four key modes: BUILD (designing for a fleet of platforms, proactive reliability, authoring runbooks, implementing observability), RUN (operating Tier-1 customer environments, ensuring SLO compliance, managing incidents), ENABLE (productizing deployment, security, and scaling of Applied AI solutions), and SECURE (owning security operations, leading CVE response, and implementing supply-chain integrity controls). This is a framework-first, fleet management role focused on structurally solving problems for all customers, not just individual ones. The team values people and outputs, direct feedback, low ego, and high standards in a fast-paced, unstructured environment.

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.

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.

Glean is seeking a Designated Technical Support Engineer to join its growing startup. Glean offers a Work AI platform that enhances productivity through intelligent search, an AI assistant, and AI agents. The platform provides enterprise-grade infrastructure for managing AI across businesses, with extensive connectors and LLM flexibility. The company is recognized for its innovation in AI and is expanding globally. The Designated Technical Support Engineer will act as a key technical resource for customers, ensuring a high level of service and customer satisfaction.

$120k - $190k

Glean is seeking Backend/Infrastructure engineers to construct a high-performance, scalable, and secure system that ensures enterprise knowledge is readily accessible to employees in all work contexts. This role offers significant opportunities to contribute to building a modern cloud-native application stack, addressing challenges such as developing scalable distributed systems and storage, creating a unified framework for indexing diverse information sources, implementing end-to-end security measures, optimizing for instant user experience while managing system costs, and developing tooling for comprehensive monitoring and deployment across multiple cloud environments.

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

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 GP is seeking a Senior or Staff Infrastructure Engineer to lead the engineering of the 'paved road' for knowledge retrieval and inference engines, defining deployment standards for Agentic workflows at scale. This role bridges complex AI orchestration with world-class infrastructure, ensuring platform reliability for enterprise agents. The ideal candidate is passionate about deep technical work, mentoring, and setting long-term technical strategy while maintaining a hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in regulated industries.

$252k - $315k