Platform Engineer Jobs

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the role. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. What you’ll work on. Secure execution environments for agent-generated code Identity, authentication, and trust boundaries for agents Model routing and orchestration across different model types and environments Rate limiting, quotas, and resource management for agent workflows State management, memory, and filesystem abstractions for agents. In this role you will: Turn emerging M

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity As a Software Engineer within the Container Fabric (CF) organization, you will be a key driver in evolving New Relic’s global internal platform. We are looking for an operations-heavy engineer with a proven track record of building and scaling resilient infrastructure. What you'll do Platform Orchestration: Work on a large-scale K8s infrastructure platform, ensuring high availability and performance. Automation: Drive the evolution of internal tooling to streamline platform delivery. This role requires Experience: Solid hands-on background in DevOps, Site Reliability, or Infrastructure Engineering. Kubernetes Mastery: Deep internal knowledge of K8s primitives (Deployments, StatefulSets, Services) and hands-on experience writing custom Kubernetes Operators. Golang Proficiency: Proficiency in Go, specifically for infrastructure automation and systems programming. Operations-Heavy Mindset: A proven track record of managing production environments and handling high-severity incidents. Cloud Infrastructure: Hands-on experience with cloud-native scaling tools (e.g., Karpenter, Cluster API) and Day 1/Day 2 operations of K8s clusters. Tooling: Familiarity with Helm and GitOps workflows (e.g., ArgoCD or Flux). Please note that visa sponsorship is not available for this position. Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We cele

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand, and tackle issues, analyze performance, and get the most out of their software and infrastructure. This is a great opportunity to shape the future of observability, work on complex and interesting problems, and empower companies to thrive in an AI-first world. This position is for the Distributed Tracing Pipeline team. You will be building, improving, and maintaining a distributed service architecture capable of ingesting large volumes of data, analyzing spans and traces, and publishing them downstream so the UI can query this data to offer an exceptional experience to our customers. We work with data at scale, and our pipeline is built with a diverse tech stack (Kotlin, Java, Kafka, Redis, public cloud services, and more). You will work with a team of talented engineers, solving complex distributed system challenges and delivering solutions for our customers. If you're passionate about scale and want to contribute to one of the largest and fastest-growing observability platforms in the market, we want to hear from you. We are a fast-growing software company that cares about our product and culture. What you'll do Build, maintain, and scale backend services and their support tools Particip

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights, so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand and tackle issues, analyze performance and get the most of their software and infrastructure. Database Observability is a critical pillar of New Relic's platform strategy. We are looking for an experienced Engineering Manager (M3) to lead a senior, high-performing team building next-generation Database Observability products. Your team will own the entire lifecycle of critical telemetry data flows from lightweight database agents and high-throughput ingestion pipelines to intelligent DB recommendation engines and autonomous DB AI Agents. You will lead a team that includes senior and Lead-level engineers with deep domain expertise in distributed systems and AI. Your primary value will come from setting strategic technical direction, enabling their best work, and fostering a high-accountability culture while partnering closely with Product and Design to deliver features that directly drive New Relic's Database Observability. What you'll do Manage a full-stack engineering team (6–8 engineers) spanning backend systems, database telemetry, agent engineering, and UI workflows. Own end-to-end delivery sprint planning, roadmap execution, system quality, and operational excellence for critical database ingesti

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us—that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale—from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Simulation is at the core of autonomy development. The Simulation team is responsible for building the simulator that powers all simulations at Nuro, allowing us to develop and test our autonomous driving technology with confidence. The team focuses on solving many novel simulation problems with innovative and creative solutions - from synthesizing sensor data and automated scenario generation, to performance and resource optimization, to framework and interface design - collaborating with teams across the company to set and expand the range of what’s possible to simulate. About the Work Expand the functionality, performance, and usability of our simulator. Develop innovative solutions to improve simulation realism and coverage through synthesis. Design and build solutions to unify and simplify the interactions of complex systems. Work across a large array of potential efforts, ranging from new greenfield projects to expandi

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. Job Description/ Responsibilities: Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production. Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow. Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data Technology Eva

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. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

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. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you’ll do Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers Design and build AI agents that can help automate many of the common development and support tasks that the team performs Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We’re looking for someone with 10+ years experience working on enterprise data lakes/warehouses 5+ years of Spark and Python experience 5+ years of direct hands-on experience working with AWS or GCP Thorough AI knowledge, particularly with codegen tools and agentic frameworks Hive, Iceberg, Glue, or other technologies that expose big data as tables Familiarity with different big data file types such as Parquet, Avro, and JSON Exposure to real-time or streaming data technologies is a plus Success Measures In 3 months, you'll have a thorough understanding of the architecture of MongoDB’s internal Data and AI ecosystem In 6 months, you'll have owned the delivery of a large project from start (scoping, design) to finish (delivery) In 12 months, you'll have designed new features, led development work, and become a go-to expert on parts of the system About MongoDB

Role Description As a Software Engineer on the Metadata team, you’ll build and operate the large-scale distributed databases that every Dropbox service depends on. Metadata systems are mission-critical, in the live path for all user operations and must meet stringent requirements for latency, durability, and transactional consistency. You’ll design and evolve the core infrastructure that manages Dropbox’s databases at scale, enabling fast, reliable access to data for millions of users and hundreds of internal services. This work spans distributed systems, replication, caching, and transactional database systems. You’ll collaborate closely with engineers across Infrastructure and Product teams to ensure the metadata layer meets business needs and continues to scale with Dropbox’s growth. This is an opportunity to leverage your expertise in distributed systems and grow into broader technical leadership. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design and maintain distributed database systems providing low-latency, strongly consistent data access Implement and optimize replication, consensus, and caching mechanisms to meet availability and performance goals Operate production systems, including participating in the on-call rotation, ensuring high availability and data durability Collaborate with infrastructure and product teams to assess current and future use cases and requirements, supporting the development of a mid- to long-term roadmap that reflects these needs Contribute to system design reviews, postmortems, and reliability improvements Write high-quality, efficient code in Go and Rust for performance-critical systems On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable and high-quality experienc

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Web Presence and Platform is organized into two pillars, each of which is grouped into pods that focus on the central tenets of Stripe's public mission. The Presence pillar creates industry-leading designs for Stripe’s front door surfaces, educating customers about the power of our platform, sharing Stripe’s ideas and expertise with the public, and driving adoption. The Platform pillar builds the internal machinery that powers these surfaces, and is responsible for making our websites fast, stable, and easy to update. Together we design and build stripe.com and other sites that amount to what is, for many, their first impression of Stripe. As such, WPP offers exciting opportunities to have a major impact on Stripe’s success. We want to make every pixel count, we want it to be enthralling, and we want to help other Stripes seamlessly benefit from our systematic work. What you’ll do The Expansion pod brings creativity and executional rigor to attracting new prospects and driving conversion, focusing on user journeys, interactive and highly polished tools for users, and building targeted experiences for our global users. As a frontend engineer you will reimagine the user experience moments that contribute to acquisition journeys. You will build delightful and original interactive tools and resources that attract users. You will collaborate deeply across design, engineering, and cross-functional teams and work across teams and tech stacks to cre

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Web Presence and Platform is organized into two pillars, each of which is grouped into pods that focus on the central tenets of Stripe's public mission. The Presence pillar creates industry-leading designs for Stripe's front door surfaces, educating customers about the power of our platform, sharing Stripe's ideas and expertise with the public, and driving adoption. The Platform pillar builds the internal machinery that powers these surfaces, and is responsible for making our websites fast, stable, and easy to update. Together we design and build stripe.com and other sites that amount to what is, for many, their first impression of Stripe. As such, WPP offers exciting opportunities to have a major impact on Stripe's success. We want to make every pixel count, we want it to be enthralling, and we want to help other Stripes seamlessly benefit from our systematic work. What you'll do As a Design Engineer you will concept, prototype, and build new experiences for our web presence. You'll bring your creativity and expertise to the full range of the Stripe brand, across evergreen pages as well as time-based campaigns. You'll both utilize and contribute to our libraries and design systems, and, when appropriate, work outside established systems to create new digital moments. You'll constantly have in-browser performance in mind, and create abstractions that other designers and engineers consume and build upon. All Design Engineers in WPP have a sha

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising , you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com What is the team like? The GTM (Go-To-Market) Engineering team at InMobi builds and scales the systems that power revenue operations and customer engagement. The team owns a comprehensive Salesfo

About the Team API Enterprise Controls is part of the API Infrastructure organization and owns the platform capabilities that help developers, startups, and enterprises adopt the OpenAI API securely and confidently. We build the systems underneath our APIs and developer platform across authentication and identity, service accounts and key management, secure networking, compliance, auditability, observability, and operational controls. Our users are developers and teams running critical applications on OpenAI, and we partner closely with Product, go-to-market, security, and infrastructure teams to turn their most important needs into reliable, intuitive platform capabilities. About the Role We are looking for an exceptional backend software engineer to help define and ship the enterprise capabilities our API Platform needs to scale.; this is a product-engineering role grounded in deep backend systems. You will work across databases, streaming systems, request routing, authentication, and developer-facing APIs while bringing strong product judgment, developer empathy, and attention to the small details that make a platform easier to understand, trust, and operate. You will lead large cross-functional initiatives, work closely with Product and go-to-market teams, engage directly with sophisticated users, and carry ambiguous needs from discovery through design, launch, and iteration. In this role, you will: Own backend product capabilities end to end across authentication and identity, service accounts and key controls, secure networking, compliance, observability, and operational workflows. Partner with Product, go-to-market, security, infrastructure teams, and sophisticated customers to identify needs, shape the roadmap, and lead large cross-functional projects from design through launch. Design developer-facing APIs, system behavior, configuration, error handling, safe defaults, auditing, and notifications with exceptional care for the details that define a great dev

About the Team API Agents builds the shared agent harness, tools, and infrastructure that turn OpenAI’s frontier models into systems that can reliably complete real work. We carry the capabilities behind Codex into a much broader set of products and workflows across software engineering, research, finance, healthcare, enterprise operations, and more. Our work spans search and connected context, computer use, memory, delegation and multi-agent coordination, and safe execution. Sitting at the intersection of Research, Codex, infrastructure, and applied product teams, we build reusable agent capabilities that compound across the ecosystem. About the Role We are looking for an experienced backend software engineer to build the core systems behind the next generation of agents. You will design reliable services and abstractions that help agents find the right context, use tools and computers, retain knowledge, coordinate over long-running workflows, and take action safely. The role combines deep backend and infrastructure work with strong product judgment, with opportunities to work across agent runtimes, orchestration, search, execution environments, identity and permissions, observability, and evaluations. This is software and systems engineering rather than model training: success comes from strong backend fundamentals, high agency, and the ability to turn fast-moving research capabilities into dependable production primitives. In this role, you will: Design, build, and operate the shared agent harness and backend infrastructure that power long-running, high-value workflows across OpenAI and third-party products. Build reusable capabilities across search and connected context, computer use, memory, tool execution, delegation, subagents, and multi-agent orchestration. Establish the foundations agents need to operate safely in production, including secure execution environments, identity and permissions, observability, evaluations, reliability, and cost and latency effi