Staff Software Engineer - Developer Foundations

Okta secures identity for both people and AI, providing trusted infrastructure that helps organizations adapt to change. The company addresses complex, real-world problems with practical solutions and values urgency, excellence, and teamwork. The Developer Foundations team is looking for a Staff Software Engineer based in San Francisco, California. This engineer will play a key role in scaling Okta’s systems and accelerating software delivery. The position centers on refining the company’s approach to Continuous Delivery and driving improvements in engineering velocity and productivity across multiple teams. Collaboration is central in this role. The Staff Software Engineer works closely with engineers, architects, operations, program management, and quality assurance. The team values fresh ideas and solutions that have a direct impact on internal developer experience. What you will do Create high-quality internal tools and automation that support continuous delivery and boost developer productivity. Design and implement Continuous Delivery pipelines for a range of projects, using technologies such as Java, Jenkins, AWS, Docker, Python, Node, iOS, Ruby, Bash, and Go. Develop proof of concepts, guide technology decisions, contribute to internal frameworks, and participate in design and code reviews. Roll out solutions to internal users in phases, monitor adoption, gather feedback, and refine approaches to fit team needs. Maintain pre-production infrastructure on AWS, focusing on monitoring, backup and restore, SLA management, cost control, and deployment processes.

Join Pinterest as a Staff Software Engineer in the Agent Foundations team, where you will be instrumental in developing and enhancing our core engineering capabilities. You will collaborate with cross-functional teams to create innovative solutions that drive our platform forward. Your expertise will contribute to shaping the future of our product and ensuring a seamless user experience.

Join Decagon as a Staff Software Engineer specializing in Agent Development. In this pivotal role, you will work on cutting-edge software solutions that enhance our capabilities in agent-based systems. You will collaborate with cross-functional teams to design, develop, and implement innovative software applications that drive our mission forward.

Join Our MissionFoundation is on the lookout for exceptional engineers to propel our mission of modernizing the homebuilding industry and enhancing the journey of purchasing, selling, and owning homes.About UsWith an impressive backing of $6.8 million from top venture capitalists, including Y Combinator, Foundation is formed by a team of former Opendoor professionals dedicated to revolutionizing residential real estate.Our flagship product serves as a pioneering customer experience platform tailored for homebuilders, akin to “Shopify for Homebuilders.” We collaborate with large-scale homebuilders to provide a cutting-edge digital customer experience, significantly boosting customer satisfaction and team productivity. In just two years, we’ve achieved notable product-market fit and rapid growth, supported solely by contract design.Our Growth PhasesWe are currently navigating the first of three interconnected growth phases:Innovative, AI-driven vertical SaaS for homebuilding - a public-scale potential in its own right.The enterprise ecosystem for real estate - enabling collaboration among adjacent trillion-dollar industries including lending, title, home insurance, and home services.The AI-native home operating system and interface - leveraging the network effects of the enterprise ecosystem to deliver transformative AI experiences for homebuyers and homeowners. Discover, purchase, and manage your home seamlessly with Foundation.Your RoleIn this pivotal role, you will contribute to creating the most reliable and modern customer experience platform within the homebuilding sector, transitioning traditional workflows into the AI era with insight, pragmatism, and empathy.You will work closely with product and customer teams, engaging in comprehensive stack development, collaborating with design and go-to-market teams, and owning significant portions of the platform from initial discovery to production refinement. Our focus is on real businesses, real revenue, and real users who require robust and reliable tools.

At Databricks, we are driven by our commitment to empower data teams in tackling the world's most challenging problems — from transforming transportation solutions to accelerating medical advancements. Our mission revolves around constructing and maintaining the world's premier data and AI infrastructure platform, enabling our clients to harness deep data insights for enhanced business outcomes.Foundation Model Serving represents the API product designed for hosting and serving advanced AI model inference, catering to both open-source models like Llama, Qwen, and GPT OSS, as well as proprietary models such as Claude and OpenAI GPT. We welcome engineers who have experience managing high-scale operational systems, including customer-facing APIs, Edge Gateways, or ML Inference services, even if they do not have a background in ML or AI. A passion for developing LLM APIs and runtimes at scale is essential.As a Staff Engineer, you will play a pivotal role in defining both the product experience and the underlying infrastructure. You will be tasked with designing and building systems that facilitate high-throughput, low-latency inference on GPU workloads with cutting-edge models. Your influence will extend to architectural direction, working closely with platform, product, infrastructure, and research teams to deliver an exceptional foundation model API product.The impact you will have:Design and implement core systems and APIs that drive Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence.Collaborate with product and engineering leaders to outline the technical roadmap and long-term architecture for workload serving.Make architectural decisions to enhance performance, throughput, autoscaling, and operational efficiency for GPU serving workloads.Contribute directly to critical components within the serving infrastructure, from systems like vLLM and SGLang to developing token-based rate limiters and optimizers, ensuring seamless and efficient operations at scale.Work cross-functionally with product, platform, and research teams to transform customer requirements into dependable and high-performing systems.Establish best practices for code quality, testing, and operational readiness while mentoring fellow engineers through design reviews and technical support.Represent the team in inter-departmental technical discussions, influencing Databricks’ wider AI platform strategy.

About DecagonDecagon stands at the forefront of conversational AI technology, empowering brands to offer exceptional concierge-style customer experiences. Our innovative platform is trusted by industry leaders such as Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas, enabling them to deploy AI agents that facilitate personalized and engaging interactions across various channels including voice, chat, email, and SMS.We envision a future where customer interactions are transformed from mundane support tickets and waiting on hold to swift resolutions, meaningful dialogues, and enriched relationships. Our commitment to this vision is supported by esteemed investors like a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, among others.Based in San Francisco, we foster an in-office culture that prioritizes excellence and momentum. Our core values—Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle—guide our collaborative efforts and collective growth.About the TeamThe Agent Orchestration team is responsible for developing the fundamental execution layer that facilitates every agent interaction. Our systems are designed to orchestrate model reasoning, assess agent performance, and ensure consistent agent behavior in real-world customer scenarios.With a focus on accuracy, dependability, and speed, our work influences how Decagon agents strategize, decide, and implement actions during millions of interactions.About the RoleAs a Senior Software Engineer on the Agent Orchestration team, you will be pivotal in shaping the long-term architecture of Decagon’s agent platform. You will spearhead substantial, multi-quarter projects that define the functionality and scalability of our orchestration engine, enabling engineers across the organization to build effectively upon it.This position is ideal for individuals who excel in technical depth, possess the ability to influence cross-functional teams, and are passionate about developing robust, principled systems that endure. You will collaborate closely with teams in Research, Infrastructure, Product Engineering, and Agent Software Engineering to establish the standards and frameworks that uphold the reliability and intelligence of Decagon agents.In this role, you will:Take ownership of the architecture and ongoing evolution of Decagon's core execution engine for agents.Lead the design of systems that manage complex reasoning and action flows on a large scale.Enhance reliability, testing, and observability standards throughout the orchestration stack.

Join Varick Agents as a Staff Engineer, where you will play a crucial role in developing innovative solutions that drive our company's success. We are looking for a highly skilled engineer who is passionate about technology and eager to tackle complex challenges. You will work closely with cross-functional teams to design, implement, and maintain software systems that enhance our operational efficiency and customer satisfaction.

About Our TeamThe Applied Foundations team at OpenAI is at the forefront of safeguarding our innovative technology against diverse adversarial threats. Our primary mission is to ensure the integrity and security of our platforms as they grow.We are dedicated to defending against financial misuse, large-scale attacks, and other forms of exploitation that could compromise user experience or destabilize our operations. The Integrity Foundations team lays the groundwork and infrastructure to support this critical mission.About the RoleAt OpenAI, we aim to advance artificial intelligence in a manner that is safe, reliable, and aligned with broader societal values. The role of Software Engineer in Applied Foundations is vital for maintaining the dependability of our platforms. You will play a key role in developing strong defenses against a variety of adversarial behaviors that threaten our ecosystem.In this position, you will collaborate with our entire engineering team to design and implement systems that detect and prevent abuse, promote user safety, and mitigate risks across our platform. You will be at the forefront of our initiatives to responsibly and sustainably harness the vast potential of AI.Key Responsibilities:Design and enhance systems to identify and prevent various forms of abuse, including financial fraud, botting, and scripting.Work collaboratively with cross-functional teams to create solutions that defend against adversarial attacks while preserving an optimal user experience.Assist in responding to active incidents on the platform and develop new tools and infrastructure to address fundamental challenges.You will excel in this role if you:Possess a minimum of 3 years of professional experience in software engineering.Have experience in setting up and maintaining production backend services and data pipelines.Exhibit a humble attitude, a willingness to support colleagues, and a commitment to team success.Demonstrate self-direction and enjoy innovating solutions to complex problems.Take ownership of issues from start to finish and are eager to acquire any necessary knowledge to achieve your goals.Have a passion for AI safety in production environments and the skills to build effective software systems.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

Join SoFi as a Senior Software Engineer in our Data Foundations team, where you will play a pivotal role in shaping our data architecture and enhancing our data-driven capabilities. You will work closely with cross-functional teams to develop robust data solutions that empower our business decisions and improve customer experiences.As a Senior Software Engineer, you will leverage your expertise in data engineering, software development, and cloud technologies to build scalable data pipelines and maintain high-quality data infrastructure. Your contributions will directly impact our ability to deliver innovative financial solutions.

Join Us as Our First Marketing LeadFoundation is on the lookout for our inaugural marketing leader to propel our vision of revolutionizing homebuilding and enhancing the journey of buying, selling, and owning a home.About FoundationWith approximately $6.8M in backing from top-tier venture capitalists, including Y Combinator, Foundation is composed of a dynamic team formerly from Opendoor, dedicated to reshaping the future of residential real estate.Our flagship product is a cutting-edge customer experience platform designed specifically for homebuilders—think of it as the "Shopify for Homebuilders." We collaborate with large-scale homebuilders to deliver a modern digital experience, significantly boosting customer satisfaction and team productivity. In just two years, we've achieved remarkable product-market fit and impressive growth, all without a dedicated marketing team.Our Growth JourneyWe are currently navigating the first of three interconnected growth phases:AI-Driven SaaS for Homebuilding: A transformative opportunity with public-scale potential.Real Estate Enterprise Ecosystem: Homebuilders drive this ecosystem, which fosters collaboration among adjacent trillion-dollar sectors such as lending, title, home insurance, and retail.AI Native Home Operating System: This will enable seamless home buying and ownership through our platform.Your Role as Our First MarketerWe seek a hands-on, results-driven marketer passionate about transforming a key sector of the U.S. economy and redefining marketing in the age of AI.Key ResponsibilitiesYou will be pivotal in steering Foundation's next growth phases by integrating AI with marketing and real estate innovation. Your primary objectives will include:Accelerating Growth: Drive rapid expansion of our core AI-driven product line for homebuilders.

Tzafon is at the forefront of machine intelligence, operating as a cutting-edge foundation model lab dedicated to building scalable computing systems. With offices in San Francisco, Zurich, and Tel Aviv, we have secured over $12 million in funding to propel our mission of expanding the boundaries of machine intelligence.Our talented team comprises engineers and scientists with extensive expertise in ML infrastructure and research, founded by distinguished IOI and IMO medalists, PhD holders, and alumni from top tech firms such as Google DeepMind, Character, and NVIDIA. We specialize in training models and constructing infrastructure for swarms of agents to automate tasks across real-world environments.In this role, you'll collaborate between our product and post-training teams to deploy Large Action Models that deliver results. Your responsibilities will include building evaluations, benchmarks, and fine-tuning pipelines, as well as defining optimal model behavior and achieving it at scale.

Founded in 2007, Airbnb has transformed the way people travel and connect. From humble beginnings with just three guests in a San Francisco home, we have grown to a global community of over 5 million hosts who have welcomed more than 2 billion guest arrivals across nearly every country. Our hosts provide unique accommodations and experiences that foster authentic connections with local communities.Join Our Talented Community:As a member of Airbnb's App Foundation team, you will collaborate across platforms to create high-quality, performant capabilities that enhance nearly all features within the Guest and Host ecosystems.Our primary focus is on developing App Product Frameworks, Insights & Logging, Performance & App Health, and Feature Architecture. We work hand in hand with Product, Design, Platform (iOS/Android/Web), Analytics Infrastructure, Data Platform, and other Product Foundation teams to establish cohesive paved paths and standards at scale. We pride ourselves on a culture that values technical excellence, pragmatic decision-making, robust ownership, and a steadfast commitment to enhancing both developer and user experiences through foundational work.Your Impact:Collaborate with cross-functional partners (design and product) to explore, shape, and implement new product experiences from ideation to large-scale execution.Develop efficient and reusable backend capabilities that prioritize quality while ensuring performance and scalability.Lead initiatives that significantly enhance Guest and Host experiences by improving app responsiveness and ensuring reliable performance across critical backend systems impacting millions.Establish a performance roadmap by identifying bottlenecks, prioritizing impactful work, and delivering enhancements across services, data access patterns, and infrastructure.Elevate performance engineering standards by creating tools, benchmarks, and guardrails that prevent regressions and integrate performance considerations into team workflows.Influence architecture and standards across Airbnb's backend ecosystem to improve observability, efficiency, and adaptability of systems.A Day in Your Life:Join us in making a difference for millions of users worldwide by building the backend foundations that power the Airbnb experience.

Join Our Team as a Customer Success Manager/Lead!At Foundation, we're on a mission to revolutionize the homebuilding industry and enhance the experience of buying, selling, and owning homes. We are looking for a dedicated Customer Success Manager to join our dynamic team and drive our core business forward.About UsWith $6.8M in funding from top-tier venture capitalists, including Y Combinator, Foundation is comprised of a talented team formerly from Opendoor, focused on transforming residential real estate. Our flagship product is a cutting-edge customer experience platform tailored for homebuilders — envision it as the 'Shopify for Homebuilders'. We partner with large-scale homebuilders to provide a modern digital experience that significantly boosts customer satisfaction and team productivity. Within just two years, we have achieved remarkable growth and established a strong product-market fit.The RoleAs a Customer Success Manager, you will play a pivotal role in fostering and expanding relationships with our diverse portfolio of clients. You will be the primary contact for our customers post-onboarding, ensuring they maximize their use of our platform and derive long-term value. This position requires a proactive approach in managing multiple accounts, identifying risks and opportunities, and collaborating closely with our Product, Engineering, and Operations teams.This is an ideal opportunity for someone who thrives in a fast-paced environment, enjoys tackling challenges, and seeks a meaningful role within a scaling startup. You will have the autonomy to influence our customer engagement strategies and drive significant impact.

About the Applied Foundations Team The Applied Foundations group at OpenAI focuses on protecting our technology from adversarial threats as our platforms grow. This team builds the core infrastructure that helps prevent financial abuse, large-scale attacks, and other forms of misuse that could impact user experience or disrupt operations. Role Overview OpenAI aims to advance AI in a way that is safe, reliable, and aligned with society’s values. As a Full Stack Software Engineer on the Integrity Foundations team in San Francisco, you will help maintain the trustworthiness of our platforms. Your work will involve building defenses against adversarial behaviors and ensuring our ecosystem remains secure. This role collaborates closely with engineering and cross-functional partners to design and implement systems that detect and prevent abuse, enhance user safety, and reduce risks. You will help lead efforts to ensure AI is used responsibly and sustainably. What You Will Do Design APIs for internal workflows that interact with all layers of the stack, supporting informed data model decisions. Build and integrate tools that enable internal teams to investigate safety, abuse, and risk issues, with a focus on strong access controls, auditability, and operational rigor. Work with teams across the company to develop solutions that guard against adversarial attacks while maintaining a positive user experience. Help respond to live incidents on the platform and create new infrastructure to address underlying problems. What We Look For Interest in building high-quality internal tools and a genuine concern for end-users. At least 3 years of professional software engineering experience. Ability to collaborate effectively, including with partners outside engineering. Humility, sound judgment, and a drive for continuous improvement.

ABOUT THE ROLE:As an AI Engineer at Varick, you will take charge of designing and optimizing the intelligence layer within our enterprise operations. This involves creating agent systems that efficiently handle thousands of transactions, make classification decisions, and learn from human interactions.This position is suited for engineers with extensive experience in LLMs, agent architectures, and evaluation systems. You have successfully developed agent workflows that operate in production, not merely in demo environments. Your expertise includes prompt engineering, retrieval, tool calling, multi-agent orchestration, and the evaluation frameworks necessary for deploying trustworthy AI systems in enterprise settings.WHAT YOU'LL DO:• Design and implement agent architectures that tackle complex enterprise workflows, focusing on multi-step reasoning, tool calling, and exception handling.• Develop and sustain evaluation systems that ensure agent quality, accuracy, safety, and groundedness.• Create robust prompt systems, retrieval pipelines, and context engineering strategies to ensure reliable agent performance.• Establish feedback loops that empower agents to learn from human corrections and enhance their functionality over time.• Optimize inference costs and latency for production workloads to ensure efficiency.• Define and uphold best practices for agent reliability, observability, and governance.• Stay updated with the latest models, frameworks, and research to ensure impactful deployments into production.WHAT WE'RE LOOKING FOR:• At least 3 years of software engineering experience, with a minimum of 1–2 years dedicated to LLM applications or AI systems in a production environment.• Practical experience in constructing agent workflows featuring tool calling, retrieval, and multi-step reasoning.• A profound understanding of prompt engineering, context engineering, and methods to elicit reliable behavior from LLMs.• Experience in developing evaluation systems to assess AI output quality.• Proficient in Python with a solid foundation in backend engineering principles.• You have delivered AI features to actual users and have navigated challenges such as hallucinations, edge cases, accuracy drops, and cost management.• Must be based in San Francisco.

Join Zip as a talented Software Engineer in our AI Foundation team, where you'll play a crucial role in developing innovative AI solutions. This position offers the opportunity to work on cutting-edge technologies and contribute to projects that impact millions. If you have a passion for artificial intelligence and software development, we want to hear from you!

About the Foundations Retrieval Team The Foundations Research group at OpenAI explores new approaches that could shape artificial intelligence for years to come. The team focuses on improving the science and data behind model training and scaling, especially for future advanced models. Areas of focus include data utilization, scaling laws, optimization strategies, model architectures, and efficiency improvements. Within Foundations, the Search team builds agentic search solutions. This group works closely with others to design interfaces between models and the core search stack, serving, indexing, and retrieval, so model intent leads to reliable, real-world results. The team develops large-scale systems to transform and index massive information sources, enabling models to reason over global knowledge. Close collaboration with researchers helps move new modeling ideas into production quickly, changing how intelligent systems discover and synthesize information at scale. Role Overview OpenAI is hiring a Software Engineer with expertise in retrieval system development and scalability for its San Francisco office. This role involves working with researchers and engineers to build infrastructure that lets models access the right information when needed. Responsibilities include designing and operating indexing systems, retrieval pipelines, and serving layers. Work in this role will directly improve retrieval capabilities across OpenAI’s research and products, with a strong influence on system performance, reliability, and scalability. What You’ll Do Develop and scale retrieval infrastructure, including indexing, serving, and query execution. Build low-latency, high-throughput systems for real-time model interactions. Work with research teams to bring embedding and retrieval methods into production. Support dense, sparse, and hybrid retrieval pipelines. Maintain system performance, reliability, and observability at scale. Collaborate with Pretraining, Inference, and Product teams to deliver end-to-end retrieval solutions. Help develop model-system interfaces for agentic workflows. Who We’re Looking For Experience building and scaling distributed systems. Background in developing high-performance, low-latency systems. Hands-on work with indexing and retrieval techniques. Familiarity with hybrid retrieval systems. Comfort working collaboratively across multiple teams.

About GridwareGridware is an innovative technology firm based in San Francisco, committed to safeguarding and optimizing the electrical grid. We have pioneered a revolutionary grid management approach known as Active Grid Response (AGR), which emphasizes the monitoring of electrical, physical, and environmental factors that influence grid reliability and safety. Our cutting-edge AGR platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and fault prevention. This holistic strategy aids in enhancing safety, minimizing outages, and ensuring the grid operates with maximum efficiency. Gridware is supported by prominent climate-tech and Silicon Valley investors. For further details, please visit www.Gridware.io.Role OverviewWe are looking for a talented Staff Software Engineer to act as a pivotal technical force within our team, enhancing the overall software engineering capabilities through architectural innovation, mentorship, and fostering a culture of excellence. In this role, you will design and develop the essential software systems that drive Gridware's platform. This encompasses everything from backend services that oversee our distributed network of devices to the front-end interfaces that visualize grid health, fleet diagnostics, and real-time field events.Your responsibilities will span the entire technology stack, building and scaling systems that integrate hardware, firmware, and cloud infrastructure to enable dependable communication, fleet visibility, and expedited decision-making. This position offers significant ownership and impact, allowing you to influence how our technology supports and protects critical infrastructure at scale.

About BroccoliBroccoli is revolutionizing the $500 billion home services industry by developing an AI operating system designed to empower trades businesses such as HVAC and roofing. Our intelligent AI agents handle customer interactions, manage job bookings, and ensure every lead is effectively captured.With the backing of prominent venture capital firms and a successful $27 million Series A funding round, we are on an aggressive growth trajectory. Collaborating with top private equity-backed home service platforms, we anticipate expanding our team fivefold by 2026, presenting a unique opportunity to join us early and make a significant impact.Why Join Broccoli?As a Staff Engineer, you will be instrumental in establishing the technical backbone of Broccoli AI. Your responsibilities will include ownership of critical systems, influencing architectural decisions, and shaping our development and deployment processes on a large scale.Immediate Impact: Your contributions will directly enhance production systems, benefiting hundreds of customers.Category Creation: Play a pivotal role in defining a new category of AI-powered workforce within an expansive market.Speed & Ownership: Enjoy the advantages of a small team with rapid feedback loops and substantial decision-making authority.Founder Collaboration: Partner closely with experienced founders to drive product and technical vision.What You’ll DoDesign, develop, and scale backend systems and internal tools for our AI agent platform.Take ownership of essential APIs and integrations, including systems like ServiceTitan.Lead complex features from initial design through to production deployment.Enhance real-time voice capabilities, reliability, and intelligence of AI agents.Mentor fellow engineers and help implement best practices across the team.Balance speed and quality while scaling systems to accommodate live customer traffic.What We’re Looking For7+ years of experience in backend or full-stack engineering.Strong system design and architectural skills.Proven experience in deploying and maintaining production systems at scale.Ability to thrive in high-growth, ambiguous startup environments.A proactive approach with a strong execution mindset.