Ai Platform Engineer Jobs

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: The Staff Software Engineer serves as a technical leader across multiple small teams. They design and build scalable systems, guide architectural decisions, and tackle complex challenges that span codebases and domains. They work closely with Product and Engineering leadership to shape the technical roadmap, ensure systems are reliable and secure, and drive key cross-team initiativ

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. The Grid Service and Platform Engineering team is looking for a highly motivated and collaborative Software Engineering Manager. This role involves leading the engineering of mission-critical, tier 0 service infrastructure, the foundational data platform that powers Smartsheet at scale. You will oversee services that handle millions requests per day, operate at 99.999% availability, and deliver low-latency, high-throughput performance for millions of customers worldwide. We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems. This full-time position reports to the Director, Engineering and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Manage one or more related teams of 6–10+ software engineers, driving development of tier 0 grid services and platform infrastructure that millions of customers depend on daily. Own and uphold 99.999% service availability targets across critical platform services, embedding reliability engineering, incident management, and on-call rigor into team culture. Help architect and guide technical vision to evolve low-latency, high-throughput service platforms capable of sustaining millions requests per day with predictable, consistent performance under load. Guide and mentor engineers on distributed systems architecture, scalability patterns, and platform best pr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Observability team builds the infrastructure that empowers engineers to understand, operate, and improve the Roblox platform and ecosystem. Our team owns the end-to-end observability stack across telemetry, distributed tracing, logging, profiling, storage systems, and developer-facing visualization tools. We are looking for an Engineering Manager to lead the next generation of AI-powered observability platforms. In this role, you will help build intelligent systems that leverage AI to revolutionize CI/CD, testing, and DevOps workflows — enabling engineers to move faster, improve reliability, and operate large-scale distributed systems with greater efficiency and confidence. This is a highly impactful leadership role at the center of Roblox infrastructure. Your work will directly improve developer productivity, platform reliability, and operational excellence across the company. You will partner closely with infrastructure, product engineering, and AI platform teams to shape the future of developer tooling and autonomous operations at scale. You Have 3+ years of engineering management experience with a proven track record of hiring, mentoring, and growing high-performing teams. Strong ex

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Software Engineer on the Core UI team, you'll take the Roblox App experience to the next level - making it intuitive, reliable, and a joy to use. Our team sits at the intersection of platform engineering and product innovations. You'll work on systems and surfaces used by every Roblox user and creator in every game session. If you care deeply about how software feels - not just how it works - this is the role for you. You Will: Design, build, and own end-to-end development of user-facing features and systems across mobile, desktop, VR, and consoles. Develop robust, extensible systems powering Roblox's core surfaces (Home, Avatar, Search, and more) used by hundreds of millions of users and creators.</l

As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure. Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool. You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response. Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The ideal candidate for this role will have 6+ years of engineering experience in backend systems, distributed systems, or core platform development. Proficiency in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning. Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) Exposure to client-side technologies such as JavaScript and React is a plus Good understanding of algorithms, data structures and their time and space complexity Curiosity, a positive attitude, and a drive to continue learning Excellent verbal and wri

We’re looking for a Software Engineer 3 to help bring Voyage’s embedding models - used for semantic search, retrieval, and AI-native experiences; to the platforms and environments where customers already run their workloads, beyond first-party MongoDB Atlas. You’ll join the broader Search and AI Platform organization and collaborate closely with the engineers building Voyage’s first-party inference. Together, we’re extending that platform across cloud marketplaces, third-party inference providers, and self-managed deployments so customers get the same Voyage models, behaving consistently, wherever they choose to run them. As a Software Engineer 3, you'll focus on building the systems, tooling, and deployment workflows that power third-party model delivery. You'll own key components of how Voyage models are packaged, validated, and deployed, work across teams to ensure tight integration with the core inference platform, and contribute to delivery surfaces designed for reliability, observability, and ease of use. We are looking to speak to candidates who are based in Sydney for our hybrid working model. What you'll do Port and tune the model server that runs Voyage embedding and reranking models: improving inference performance, consistency, and runtime behavior across environments Productionize new Voyage models for delivery beyond first-party Atlas, owning the packaging, configuration, and deployment workflows that get them running on AWS, Azure, GCP and more Design correctness, correlation, and performance validation that proves third-party deployments match first-party behavior Build operability into every surface: structured logging, metrics, diagnostics, and health checks with tools like Prometheus and OpenTelemetry Debug problems that span model servers, containers, deployment configuration, and partner cloud environments Work alongside Voyage's model-serving teams, and partner with GTM, SAs, TSEs, and strategic customers on the hardest external deployments Who

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are, too, let's talk. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. We engineer the end-to-end device experience—from our flagship FastPass, Okta Device Access (ODA), and Device Assurance. Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, Linux, macOS, iOS, and Android. Our organization is comprised of engineers who thrive at the intersection of deep client-side platform engineering

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Data Lake Ingestion team builds the foundations that move data from Robinhood’s operational platforms into our data lake so partner teams can make data-driven decisions. Our mission centers on operating secure and reliable ingestion paths, spanning near-real-time CDC pipelines, large-scale snapshot systems, and streaming flows via Kafka and Flink. We sit at the center of Robinhood's data platform, directly enabling analytics, regulatory retention workflows, and secure access patterns across the company. We collaborate with partner teams like Storage, Streaming Platform, and Governance to maintain high data quality and schema validation at scale. Our team is built on a culture of technical excellence and collaborative problem-solving to address deep platform engineering challenges! As a Senior Software Engineer, you will design and implement the next generation of our hybrid ingestion systems, focusing on performance, schema evolution, and validation. You will scale our flagship Rocket CDC platform and migrate legacy snapshot pipelines to newer, backup-based architectures. Your work will involve developing high-throughput streaming applications with Apache Flink and Kafka

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Cloud Networking team’s mission is to build scalable, secure, and reliable networking infrastructure that powers communication across all Robinhood services. We enable our engineering teams to build and operate microservices seamlessly by providing foundational networking capabilities that are resilient and transparent. We’re looking for a Staff Software Platform Engineer to design, build, and evolve our foundational platform for large-scale services—focusing on AWS, Kubernetes (K8s) on Amazon EKS, modern networking, and a robust Istio service mesh to deliver secure, reliable, and performant systems. This role is part of the Network Service Discovery and Communication (SDC) team, responsible for service discovery, traffic management, and resilient service-to-service communication across our platform. This role is based in our Bellevue office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Lead technical s

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Data Cloud allows sharing live data in governed and secure ways so our customers can solve their business problems. Data Cloud allows sharing live data in governed and secure ways so our customers can solve their business problems. Come join our world-class team as a Software Engineer to build the backend services for data cloud to help our customers to share data internally within their company or outside with external organizations. We are investing in initiatives across multiple engineering areas that include: Data Engineering & Open Lakehouse, Database Engineering, Engineering Systems, Product Experiences, Apps & Collaboration,Platform Engineering, and Public Sector, Security and Governance AS A SOFTWARE ENGINEER, YOU WILL: Design and build features, and/or distributed platforms at scale. Drive impactful initiatives for the globally distributed infrastructure Collaborate with product managers, architects, other engineering teams, and business groups, to drive end-to-end solutions. Contribute to improving our en

The Engineering Manager, Memberships leads the team responsible for building and operating Topgolf’s Memberships systems, from guest-facing membership experiences through the backend services that power them. This role owns the people, process, and delivery of the Memberships engineering team, while staying technically credible across a full stack built on Go, Vue.js, and PostgreSQL. Requirements Lead, grow, and manage a team of full-stack engineers building Memberships systems, including hiring, performance management, career development, and mentorship Set clear goals and expectations for the team, run effective 1:1s, and build a culture of ownership, accountability, and continuous improvement Balance workload and staffing across Memberships initiatives, escalating resourcing gaps and continuity risks early Guide architecture and design decisions across Memberships systems, drawing on full-stack experience spanning Go, Vue.js, PostgreSQL, and API design Set engineering standards and best practices for code quality, testing, and release processes, and stay close to the codebase through code reviews and hands-on problem solving on critical issues Own delivery of the Memberships roadmap end to end, from technical planning through implementation, QA, release, and post-launch monitoring, ensuring systems are observable, testable, secure, and built to scale with guest demand Partner with product, design, QA, and platform engineering to translate guest needs and business priorities into a clear, prioritized Memberships roadmap Represent the Memberships team in cross-functional planning and architecture discussions, communicating progress, risks, and tradeoffs to engineering leadership and business stakeholders Critical Skills Strong architectural judgment and the ability to balance technical debt, delivery speed, and long-term maintainability <

The Engineering Lead Analyst – SonarQube & Code Quality Engineering is a senior-level engineering role responsible for leading static code analysis, automated code quality governance, security vulnerability remediation, and AI-augmented developer enablement across enterprise software delivery pipelines. In this role, you will champion software reliability, maintainability, clean-coding standards, and automated quality gates. You will partner with development teams, system architects, and platform engineering to integrate and manage enterprise-scale code quality platforms (such as SonarQube) both on-premises and in cloud/SaaS environments. Additionally, you will drive modern engineering practices by embedding Behavior-Driven Development (BDD) within your own software delivery and leveraging Agentic AI workers and Model Context Protocol (MCP) architectures to optimize developer experience, streamline code governance, and boost engineering velocity. Key Responsibilities 1. Code Quality & Static Analysis Platform Ownership Lead the architecture, deployment, administration, and continuous enhancement of enterprise Static Application Security Testing (SAST) and Code Quality platforms (e.g., SonarQube , DeepSource, Codacy, Semgrep). Configure, calibrate, and enforce automated Quality Gates, code rulesets, technical debt calculation models, and code-coverage baselines across multi-language enterprise repositories. Oversee version upgrades, patching, high availability, and operational maintenance for on-premises and SaaS/cloud-hosted code quality infrastructure. 2. CI/CD & Pipeline Integration <li style=

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. Product at Baseten Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and AI engineers and you'll set the standard for what product looks like here. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and just shipping great product experiences. The role Once a model is deployed, keeping it fast, reliable, and economical at scale is where production inference is won or lost. You'll own the surface that makes that happen: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You'll own these as products end to end - both how they work under the hood and how customers configure and observe them - and you'll help set and define the roadmap that infrastructure and product teams alike can build towards. This space is largely still evolving - think Cloud Infrastructure in mid-2000s. Your job is to make it 10x easier to reliably scale and serve AI models in production and set the market standard. Impact and outcomes you'll drive You will own how workloads scale and where they land — autosca

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. Your role & Mission The Site Reliability Engineering team at Forto is responsible for reliability and developer experience. We enable our development teams to write complex business logic by providing best-in-class tooling and infrastructure. We have a production environment based on GCP, Kubernetes, Terraform, and Helm. On top of that, we have self-service tooling written in TypeScript. “You build it, you run it” - our job is to make that real. This is a high-ownership role on a lean team that directly shapes how 70+ engineers build and ship software. If you care about platform quality and want your work felt immediately across an engineering org, this is a great match for you. What you will do Build out our runtime platform as a self-service product that enables our engineering teams to write code, run workloads, and drive engineering culture forward. Bring software development skills and practices into platform engineering, such as code quality, domain-driven design, and test-driven development. Own the developer portal and internal platform roadmap, including leading this year's overhaul of our CI/CD pipelines in collaboration with all product teams. Ensure site reliability by building observability solutions, deployment, and disaster recovery capabilities. Own reliability standards end-to-end through SLOs and error budgets — shaping how teams balance velocity and risk. Drive infrastructure cost optimisation across Kubernetes, MongoDB, and Datadog at scale. Improve our security posture through tooling, compliance work, and