The Universal Directory Platform team at Okta develops and maintains the core systems that manage identity assets and their relationships for enterprise security. As a Staff Platform Engineer, this position focuses on building and supporting the backbone that enables identity management at scale. This role is based in San Francisco, California. The schedule is hybrid, with at least two days per week in the office. Key responsibilities Become familiar with the identity management codebase, development tools, and processes such as Jira, technical design documentation, code reviews, testing, and deployment workflows. Design and implement frameworks and tools for the Universal Directory Service platform. Develop distributed, scalable, high-performance, and fault-tolerant software components. Deliver high-quality bug fixes and resolve customer-reported issues promptly. Conduct thorough code reviews and contribute to automated testing initiatives. Collaborate with Product Development, QA, and Site Reliability Engineering teams to plan and execute development and deployment work. Requirements Proven experience building and deploying reliable, high-performance infrastructure and product code at scale in a cloud environment. At least 7 years of software development experience in Java, with strong knowledge of Hibernate and Spring Boot. 5 or more years developing services, internal tools, and frameworks. Minimum 3 years working with cloud infrastructure, service-oriented architecture, and microservices.

At Forge, we recognize that our team is our most valuable asset. As pioneers in the private market technology sector, we aim to create a brighter future for all. This vision is embodied in our core values of boldness, accountability, and humility. We witness the impact of our vision daily, supporting the teams behind the most remarkable innovations of our era, from space exploration to artificial intelligence, and beyond.With our liquidity solutions, exclusive insights, custody offerings, and a dynamic marketplace, Forge strives to establish a leading-edge technology infrastructure that empowers a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can reward shareholders with pre-IPO liquidity, and both individual and institutional investors can engage with the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from individual and institutional investors seeking exposure to private company stocks, creating a significant network effect.Our ability to provide these impactful financial solutions has sparked tremendous interest from investors, heightened customer demand, and a pressing need to expand our team to cater to the evolving requirements of more companies, teams, and innovators.The Role:As part of Forge's platform engineering team, you will join a group dedicated to innovation, developing scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams utilize a wide array of technologies to support our core platform, Metal, and we thrive on swift execution, delivering value, and adhering to our values of being bold, humble, and accountable.We are in search of a dedicated platform engineer with a minimum of 7 years of experience in delivering robust, scalable, and secure infrastructure solutions that are easy to maintain. The ideal candidate excels in collaborative environments and is driven by the desire to foster success through effective communication, crafting exceptional developer experiences, and making informed, data-driven decisions.To excel as a Staff Platform Engineer at Forge, you will leverage your expertise in infrastructure and software to deliver high-quality platforms both independently and through technical leadership of others. You will tackle advanced infrastructure projects – ranging from multi-cluster orchestration to SOC 2 compliance automation – while also being an engaged and collaborative team member.Location: This role requires in-office attendance 2-3 days a week in San Francisco, CA.

Role overview MidiHealth seeks a Staff Software Engineer for its Platform Engineering team. This hybrid role is based in the San Francisco Bay Area and centers on building software that supports the platform’s growth, performance, and usability. What you will do Design and develop software solutions that address platform engineering challenges Collaborate with experienced engineers to improve reliability and expand platform features Contribute to efforts that boost performance and create a smooth user experience Location This position requires a hybrid schedule, including on-site work in the SF Bay Area.

ABOUT RETELL AIAt Retell AI, we are revolutionizing the call center experience using cutting-edge voice AI technology. In just 18 months since our inception, thousands of companies have leveraged our AI voice agents to streamline sales, support, and logistics operations that previously required extensive human teams. Supported by prominent investors such as Y Combinator and Alt Capital, we have grown from $5M to an impressive $36M ARR with a dedicated team of 20.Our ambitious vision for 2026 is to create a state-of-the-art customer experience platform where entire contact centers are driven by AI. Rather than relying on basic automation that necessitates constant human oversight, we are developing intelligent AI “workers” to function as frontline agents, QA analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.As we rapidly expand, we seek passionate innovators eager to solve complex technical challenges, move swiftly, and make a meaningful impact at one of the fastest-growing voice AI startups. Join us in building the future!Ranked among the top 50 AI applications in the a16z list: https://tinyurl.com/5853dt2xRanked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on the Leana I leaderboard: https://leanaileaderboard.com/THE ROLEWe are in search of a Principal/Staff Engineer to spearhead the technical direction of our core platform. This is an individual contributor role designed for someone who excels in uncertainty, acts swiftly, and elevates the standards of those around them.You will engage with various systems, infrastructure, and product surfaces while collaborating closely with engineering teams, product managers, and leadership to scale successful initiatives and innovate for the future.This role is not about merely addressing tickets; you will identify challenges, engineer solutions, and deliver impactful results.KEY RESPONSIBILITIESLead the design and evolution of our core platform and systems architecture.Oversee complex technical projects from inception to production.Make strategic technical decisions that optimize for speed, reliability, and scalability.Collaborate across teams to facilitate knowledge sharing and best practices.

Join Composio, where we are revolutionizing the infrastructure that empowers agents to seamlessly connect with the tools you utilize daily, including GitHub, Gmail, Notion, Salesforce, and more. Our dedicated team of engineers is tackling challenges from context management to search optimization, striving to create the most efficient bridge between your agents and their essential tools.Having secured a $25M Series A funding from Lightspeed, along with support from prominent angels such as Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram, we have experienced significant growth, tripling our ARR this year. Our customers range from fellow Y Combinator alumni to established companies like Wabi, Glean, and Zoom.Your ResponsibilitiesEnhance our platform primitives and APIs, including authentication, automatic refreshes, triggers, tool search, planning, and sandbox management.Oversee multiple runtimes for code execution across Lambdas and Firecracker.Optimize performance through tracing, CPU/heap profiling, database query enhancements, and workflow optimization.Collaborate closely with product engineering teams and customers to effectively manage their workloads and improve our product.Produce clear and comprehensive documentation.Essential QualificationsCore Platform Engineering Skills: Extensive experience in scaling backend distributed systems, maintaining reliable systems while delivering quickly, and managing multiple platform components simultaneously.AI Expertise: Familiarity with building and working with language models.Linux Proficiency: Comfortable working in a Linux environment.Effective Communication: Ability to write well-structured documentation and articulate complex ideas clearly.Interpersonal Skills: Cultivate trust and acknowledge areas for growth.Preferred QualificationsExperience with cloud infrastructure and serverless architecture.

Join Anthropic as a Staff Software Engineer on our Billing Platform team. In this critical role, you will design and implement robust billing solutions that scale with our growing user base. Collaborate with cross-functional teams to enhance our billing capabilities and ensure seamless processing of transactions. Your expertise will be vital in building systems that are not only efficient but also secure and user-friendly.

Join Discord, a platform cherished by over 200 million users monthly, where gaming is at the heart of our community. With more than 90% of our users engaging in games, they collectively spend 1.5 billion hours enjoying thousands of unique titles on Discord every month. Our commitment is to enhance the gaming experience by facilitating enjoyable interactions before, during, and after gameplay.At Discord, we empower individuals to connect within diverse communities, and our users trust us to safeguard their conversations. Our Platform Security Engineering team is dedicated to fortifying the systems that underpin Discord, ensuring that the "secure way" becomes the "easy way." We are seeking a Staff Software Engineer to drive this mission forward through your security expertise, software development skills, and operational excellence. In this technical leadership role, you will identify and pursue impactful opportunities to mitigate security risks across our Engineering teams. You will design and implement user-friendly "paved paths" for managing identities, deploying code, configuring cloud infrastructure, and operating services effectively.If you are a security engineer with a profound curiosity, keen on tackling technically and socially complex projects, and motivated to enhance security and privacy at Discord, we encourage you to explore this opportunity further!

Strava connects more than 180 million athletes across 185 countries, offering tools for tracking workouts, setting goals, and sharing progress. The platform supports a range of activities, including running, cycling, and swimming, and encourages community and personal growth. Role overview The Staff Engineer, Core Services Platform, will influence the technical direction of Strava’s social platform services. These services support key features such as the activity feed, photo and video sharing, experimentation, and notifications. This role involves guiding a small engineering team and leading modernization efforts across core services. Collaboration with product teams is central to ensuring the platform evolves to support both current and future needs. Work location This position follows a flexible hybrid schedule. In-office attendance is required three days per week at Strava’s San Francisco or Denver offices.

Quizlet, Inc. supports millions of learners each month by combining cognitive science with advanced machine learning. The platform serves two-thirds of U.S. high school students and half of college students, powering over 2 billion learning interactions monthly. Quizlet’s mission centers on making education more personal and effective for students, professionals, and lifelong learners. The AI & Data Platform team underpins Quizlet’s applied AI initiatives. This group develops and maintains the systems behind personalization, recommendations, the AI Coach, content generation, and emerging agentic experiences. The team oversees the full machine learning model lifecycle: data and feature engineering, training, evaluation, deployment, and inference. Reliability, speed, security, and observability guide their work. Their approach blends managed Google Cloud services, top vendor tools, open-source solutions, and custom internal abstractions to achieve efficient, reliable outcomes. Role overview The Senior Staff Engineer, AI Platform, is a senior individual contributor who defines the technical direction for Quizlet’s next generation of machine learning and large language model infrastructure. This hands-on role involves architecting core platform systems, steering build-versus-buy decisions, and collaborating with teams across Applied AI, Data Science, Product Engineering, and Infrastructure. The position sets standards for how models and LLM-driven systems are trained, evaluated, deployed, and governed at scale. This role is well suited to an engineer who excels at the senior-staff level in large organizations but values the autonomy and impact of a smaller, cloud-native setting. The technology stack includes Google Cloud, Kubernetes and GKE, distributed training, MLflow workflows, data and feature platforms, online and asynchronous inference, and the evaluation and observability tools needed to operate predictive ML and LLM systems at scale. Work location and schedule This is an onsite position based in San Francisco, CA. Team members are expected in the office at least three days a week: Monday, Wednesday, and Thursday, to foster collaboration.

Join Our Mission as a Staff Software EngineerAs a pivotal member of our Data Engineering team at Prosper, we are seeking a talented Enterprise Python Expert. Your primary responsibility will be to enhance our data ecosystem by designing and implementing high-quality software solutions. You will focus on building robust data pipelines and services while optimizing system architecture and ensuring clean, scalable code development within our Google Cloud Platform (GCP) environment.

Are you ready to push the boundaries of your capabilities?At Coinbase, our vision is to enhance economic freedom globally. This ambitious endeavor requires our utmost dedication as we develop the future on-chain platform and, consequently, the global financial system of tomorrow.We are in search of a unique individual who shares our passion for this mission and recognizes the transformative potential of cryptocurrency and blockchain technology in revolutionizing finance. We seek someone who is driven to make a significant impact, thrives under pressure, and values constructive feedback for continuous improvement. If you are eager to confront complex challenges head-on, we want you on our team.Our work culture is rigorous and may not suit everyone. However, if you aspire to shape the future alongside exceptional colleagues who demand excellence, look no further.While many positions at Coinbase allow for remote work, we are not exclusively remote. In-person participation is encouraged throughout the year, with multiple team and company-wide offsite events designed to foster collaboration and alignment. Attendance is both expected and fully supported.At Coinbase, our quest for economic freedom necessitates not only outstanding products but also a robust data foundation. The Data Platform team serves as the backbone of Coinbase’s data infrastructure, ensuring reliability, speed, and accessibility at scale. This critical support enables everything from fraud detection and financial reporting to the advanced AI and ML systems that will define Coinbase's future.The RoleWe are seeking a visionary and hands-on Senior Staff Software Engineer to define and steer the technical strategy for Coinbase’s Data Platform. This pivotal role sits at the intersection of distributed systems, data engineering, and AI preparedness, offering a rare opportunity to build significant infrastructure within one of the most influential companies in the crypto space.Reporting to the Senior Director of Engineering for Data Platform, you will take on the role of the domain's foremost technical leader. You will set the architectural vision, mentor emerging engineering talent, drive multi-quarter roadmaps, and play a crucial role in transitioning Coinbase from a collection of managed data services into a scalable, cohesive data platform. This position provides considerable autonomy and is expected to have a far-reaching impact across various cross-functional teams and the broader Infrastructure organization.

About UsAt Twelve Labs, we are at the forefront of developing innovative multimodal foundation models capable of understanding videos in a human-like manner. Our state-of-the-art models are setting new benchmarks in video-language modeling, allowing for more intuitive interactions and transformative media analysis.With an impressive $107 million in Seed and Series A funding, we have garnered support from leading venture capital firms like NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as esteemed AI pioneers such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters are in San Francisco, complemented by a strong presence in APAC, particularly in Seoul, highlighting our commitment to global innovation.We embrace the individuality of each team member’s journey. The diversity of our cultural, educational, and experiential backgrounds fuels our drive to challenge the norm. We seek passionate individuals eager to contribute to our mission and make a significant impact as we redefine the landscape of technology. Join us in revolutionizing video comprehension and multimodal AI.Role OverviewAs a Senior Staff Software Engineer, you will take charge of the infrastructure and integration layer that ensures Twelve Labs models are seamlessly accessible on partner platforms. Your responsibilities will encompass everything beyond the models, including packaging, validating, deploying model containers, designing API surfaces for various platforms, routing requests, and maintaining production reliability across diverse cloud environments.You will collaborate closely with our Science, Product, and ML Engineering teams to align model and product roadmaps for successful platform integrations. Your expertise in external model orchestration will be pivotal; you will need to comprehend model component functionalities to make informed integration decisions, although model optimization will not be part of your role. Your contributions will significantly enhance our capacity to reliably deliver new model versions and features to users across all platforms.Willingness to travel up to 10% annually for conferences, off-site meetings, and other business-related events is expected. Participation in on-site interviews and/or in-person onboarding processes may also be required.

Join us in making a difference! GoFundMe is the leading platform for community-driven fundraising, dedicated to empowering individuals and nonprofits to support one another. Since its inception in 2010, our community has successfully raised over $40 billion, making a significant impact on countless lives. We are currently looking for a Senior Staff Software Engineer for our Identity Platform. In this pivotal role, you will be the technical authority responsible for the architecture, scalability, and reliability of our identity platform—the cornerstone on which all product teams, enterprise customers, and internal services rely. Your contributions will directly influence how millions of users engage with GoFundMe and how engineering teams develop identity-dependent functionalities confidently. As a vital technical leader, you will have the opportunity to shape the convergence of consumer and enterprise identity into a cohesive, secure platform, ensuring significant impact for the organization, our engineering teams, and the individuals we serve. If you are passionate about tackling substantial systems problems comprehensively while enhancing trust, personalization, and supporting vital causes, we want to hear from you! This is a hybrid role requiring three days per week in our office. We are only able to consider candidates located in or willing to relocate to San Francisco, CA.

Who Are We?Postman is recognized as the leading API platform globally, empowering over 45 million developers and 500,000 organizations, including 98% of the Fortune 500. We are dedicated to transforming the API landscape by simplifying every phase of the API lifecycle, fostering collaboration, and enabling users to create superior APIs with increased efficiency.Headquartered in San Francisco, we also have offices in Boston, New York, Austin, Tokyo, London, and Bangalore—our founding city. As a privately held company, we have received support from notable investors such as Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. To learn more about our vision, visit postman.com or connect with us on X at @getpostman.P.S: We highly recommend reading The 'API-First World' graphic novel to gain insights into our vision at Postman.The OpportunityAs a Staff Engineer for the Desktop Platform, you will lead the technical direction of our Electron-based desktop application, which is utilized by over 40 million developers worldwide. Your expertise will influence its architecture, performance, and security for the foreseeable future.This role is primarily focused on individual contributions. You will engage in both design and implementation while serving as the technical cornerstone for our Desktop Platform. Your responsibilities will include defining architecture, developing essential features, and mentoring fellow engineers, ultimately guiding Postman’s evolution across various desktop operating systems.About the TeamThe Client Platform organization is tasked with providing a streamlined pathway for developing, testing, and releasing Postman’s web and desktop applications. We manage the frameworks, SDKs, build tools, shared libraries, and infrastructure that our product engineers depend on daily. Our platform serves as the foundation for hundreds of Postman engineers to deliver new features and enhancements to over 40 million users.Within this group, the Desktop Platform team focuses on Postman’s integration with Electron and OS-level infrastructure. Our team ensures that Postman is easily installable, consistently updatable, and performs optimally across Windows, macOS, and Linux. We collaborate closely with the Client SDK and Build/Release teams to guarantee a seamless user experience.What You’ll DoLead the architecture of Postman’s Electron-based desktop application.Design and implement core desktop functionalities, including installers, auto-updates, and OS integrations.Enhance performance across desktop platforms, optimizing startup times, memory, and CPU utilization.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only safe but also interpretable and steerable. Our mission is to ensure that AI serves the best interests of our users and society at large. Our rapidly growing team comprises passionate researchers, engineers, policy experts, and business leaders, all collaborating to create beneficial AI technologies.About the Role:We are seeking skilled software engineers to join our Platform team. This team is responsible for building the essential foundations that enhance product development across Anthropic. We manage the infrastructure and systems that teams rely on for reliable and scalable deployment to both internal users and hundreds of thousands of external clients worldwide.In this role, you will independently define and scope complex, multi-month projects, fostering cross-organizational alignment in ambiguous problem areas. Your architectural decisions will significantly influence the way Anthropic develops and scales its products. You will collaborate closely with research teams to transform cutting-edge capabilities into market-ready solutions, ensuring a lasting impact on our platforms that serve both internal and external engineering teams.Multiple teams are actively hiring, and team assignments will be determined post-interview based on your skills, interests, and the needs of the organization. This flexible approach helps us align talented engineers with backend product initiatives where they can make the most significant impact and experience growth.Your Responsibilities:Platform Acceleration: You will enhance developer productivity for product engineers at Anthropic. This includes architecting and optimizing critical development infrastructure that fuels our AI product development, encompassing development environments, observability, and CI/CD pipelines. You will work closely with product teams to understand their workflows and eliminate friction points, resulting in a profound multiplier effect across the product organization, thus accelerating our mission.Service Infrastructure: You will build and maintain the core infrastructure that supports Anthropic's engineering efforts, ranging from service mesh and observability systems to deployment pipelines and shared libraries. Your contributions will empower product teams to construct and operate reliable services at scale, positioning you as a critical force multiplier within the company.Multicloud: You will develop and sustain the infrastructure that allows Anthropic to function seamlessly across various cloud providers, focusing on cloud-agnostic solutions that enhance our operational efficiency.

In a world where software is rapidly evolving, artificial intelligence is at the forefront of this transformation. At Scale AI, we recognize the immense potential of AI to significantly enhance human capabilities. Imagine having a personal tutor, coach, assistant, shopper, travel guide, and therapist available to you throughout your life. As global industries adapt to this revolutionary landscape, leading platform companies are racing to develop large language models (LLMs) at an unprecedented scale, while enterprises strive to integrate these technologies into their existing products. Ensuring these models are safe, aligned, and genuinely useful requires meticulous human evaluation and reinforcement learning from human feedback (RLHF) throughout their development cycle. This innovative approach has given ChatGPT a substantial advantage in the marketplace.At Scale, our offerings include the Generative AI Data Engine, SGP, Donovan, and other advanced tools that drive the most sophisticated LLMs and generative models globally. Our world-class RLHF, human data generation, model evaluation, safety, and alignment are crucial in shaping how humanity will interact with AI.The backbone of these products is our Platform Engineering team. As a Staff Software Engineer, you will play a pivotal role in defining and executing the architectural roadmap and implementation of essential platforms and software systems. You will provide a visionary approach while promoting adoption across our engineering organization for orchestration, data abstraction, data pipelines, identity and access management, and foundational cloud infrastructure. This role offers the opportunity to engage with cutting-edge AI advancements as Scale collaborates with enterprises, startups, governments, and leading tech companies.

Join Laurel as a Staff AI Platform Engineer, where you will be at the forefront of developing cutting-edge AI platforms that drive innovation and efficiency. In this role, you will collaborate with cross-functional teams to create scalable AI solutions that enhance our products and services.

About Us:Lunar is an innovative technology company operating in stealth mode, dedicated to creating a groundbreaking software platform for health systems. Our mission is to transform healthcare through advanced, AI-driven software that empowers every hospital to provide exceptional patient care. Our platform serves as the foundational backbone of modern health systems, revolutionizing clinical and operational workflows on a large scale with the world’s first AI-native hospital information system.This next-generation platform represents a comprehensive overhaul of the information infrastructure that supports health systems, encompassing all roles—from doctors and nurses to pharmacists, lab technicians, coders, billers, supply chain personnel, and even patients. We view our mission as the moon landing of healthcare—an extraordinary and ambitious endeavor that many deem impossible.Supported by leading venture capital firms in Silicon Valley, we are committed to the effectiveness of a small, high-performance team of seasoned professionals who operate at the peak of their abilities. We seek individuals who are driven, inquisitive, demonstrate sound judgement, and are passionate about delivering the best work of their careers.Our systems are built on Elixir, which we have adopted for its fault tolerance, concurrency, and scalability—crucial features for managing real-time patient data in critical environments such as Emergency Departments, ICUs, and Operating Rooms.We are in search of a Staff Software Engineer who is eager to address some of the most complex technical challenges in healthcare, joining a small, agile, and mission-driven team. If you are dedicated to writing clean, robust code and are excited about reimagining the software infrastructure of contemporary hospitals, we would love to connect with you.Technical Challenges You May Encounter in Your First 6 Months:Designing Modern Cloud Architecture: Build a cloud-native platform from the ground up without any legacy systems to complicate the process, utilizing Elixir as the foundation.Creating an Advanced Access Control System: Develop a modern access control system featuring fine-grained permissions that respect clinical data structures and patient data ownership while facilitating population-level insights for improved public health outcomes.Ensuring 24/7 Hospital Uptime: Engineer and deploy infrastructure capable of supporting rolling deployments, failover protocols, and continuous service availability.

At ClickUp, we are not just creating software, we are crafting the future of work! In a landscape saturated with work complexities, we envisioned a better solution. This vision led to the development of the first genuinely integrated AI workspace, seamlessly combining tasks, documents, chat, calendar, and enterprise search, all enhanced by context-sensitive AI. This empowers millions of teams to break down barriers, reclaim their time, and elevate productivity to new heights. Here at ClickUp, you will have the chance to learn, leverage, and innovate with AI in ways that will not only transform our product but also redefine the future of work itself. Join us in being part of a daring, innovative team that is reshaping possibilities! Role Overview:We are in search of a highly talented and experienced Staff AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will significantly contribute to the development of our core AI platform and directly utilize large language models (LLMs) to implement intelligent features across ClickUp. Your focus will be on back-end systems that facilitate scalable, dependable, and secure AI-driven capabilities, while also engaging hands-on with LLMs to address real user challenges and propel product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services to support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to build and enhance ClickUp’s intelligent features, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and maintain robust APIs and backend systems that facilitate seamless integration of AI-enhanced features into ClickUp’s core platform.Create infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost-efficiency.Promote best practices in AI privacy, security, and compliance, including data anonymization and secure data handling.Optimize platform performance, scalability, and cost-efficiency, utilizing cloud-native technologies and distributed systems.Stay abreast of advancements in AI infrastructure, MLOps, and LLM applications, and proactively apply relevant innovations to ClickUp’s AI platform.Collaborate cross-functionally with teams to drive AI initiatives.