Software Engineer - AI Foundation (Mid-Senior Level)

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 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.

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.

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 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.

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.

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 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.

Role overview Checkr is hiring a Staff Software Engineer, Integrations to support and enhance the company’s integration services. This position centers on building and refining solutions that connect the Checkr platform with external systems. The goal is to increase both connectivity and operational efficiency. As a member of the engineering team, this person will influence how the platform works with partners and customers. What you will do Design and implement integration features that broaden the platform’s capabilities Work closely with other engineers to deliver solutions that are reliable and easy to maintain Troubleshoot and resolve technical issues related to integrations Spot opportunities for improvement and suggest actionable changes Requirements Strong problem-solving skills and attention to detail Experience developing or maintaining integration services Ability to collaborate effectively within an engineering team Location San Francisco, California, United States

Role overview Salma Health is hiring a Software Engineer for Platforms & Integrations to help build and maintain the internal systems behind its brain health platform. The role involves designing and supporting integrations across electronic health records (EHR), CRM, billing, and research tools. Day-to-day work includes developing and maintaining connections between these systems, as well as creating internal tools for clinical and operational teams. Ensuring smooth data flow across the technology stack is a core responsibility. This position emphasizes collaboration with teams in engineering, product, clinical operations, and data. The goal is to keep the platform reliable and scalable as the company expands. Location This is a hybrid role. Candidates based in the San Francisco Bay Area, San Diego, or Salt Lake City are preferred. Remote work is possible, but regular in-person collaboration is expected.

Join Cloudflare as a Software Engineer specializing in Enterprise Integrations, where you will contribute to building and enhancing our suite of solutions that seamlessly integrate with enterprise systems. You will work collaboratively with cross-functional teams to design, develop, and implement scalable integration solutions that meet the complex demands of our enterprise clients.

Do you recall the exhilarating moment when your first connector began to function seamlessly? After days of grappling with poorly documented APIs, deciphering cryptic error messages, and reverse-engineering complex authentication flows, the data begins to flow just as you envisioned. That breathtaking moment when rate limits are handled smoothly, pagination operates without a hitch, and edge cases don't cause production issues is unparalleled.At ConductorOne, we establish connections with numerous enterprise systems—ranging from modern APIs with clear documentation to legacy systems where the documentation is a decade-old PDF filled with tribal knowledge. We have developed an integration platform that adeptly manages the chaos: unreliable endpoints, inconsistent schemas, authentication methods predating OAuth, and those inevitable 3 AM alerts when a vendor introduces a breaking change. We prioritize speed and consistency, leveraging AI tools (Claude Code, Cursor) to accelerate our delivery.We are on the lookout for outstanding Staff and Principal Engineers to join our San Francisco team, focusing on how we connect and integrate with the myriad of systems our customers rely upon. You will design the frameworks that simplify the creation of new connectors, troubleshoot complex integration failures, and ensure our platform scales effectively as we onboard enterprise clients with extensive tech stacks. If you have a proactive mindset and a passion for delivering results, we would love to speak with you.Explore our approach to tackling challenging problems through our blog posts:Incremental Sync: How ConductorOne Keeps Identity Data Fresh in Real TimeBuilding Trust Through Connector ReliabilityAbout ConductorOneConductorOne is the pioneering AI-native identity security platform that safeguards every identity: human, non-human, and AI. We empower enterprises to transcend the constraints of outdated identity governance—minimizing their attack surface while enhancing the experience for all stakeholders.Innovative companies such as DigitalOcean, Instacart, Ramp, and Zscaler trust ConductorOne to secure their identities. Backed by prominent investors and experiencing rapid growth, we maintain a small enough team that every engineer contributes significantly to our product and culture.

Have you ever experienced the satisfaction of a perfectly functioning connector? After days of grappling with poorly documented APIs, deciphering cryptic error messages, and reverse-engineering authentication flows, that triumphant moment arrives when data flows seamlessly. It's exhilarating when rate limits are managed smoothly, pagination operates without a hitch, and edge cases don't disrupt production.At C1, we integrate with a multitude of enterprise systems—everything from modern APIs with clear documentation to legacy systems with outdated guides. Our integration platform is designed to navigate the complexities: unreliable endpoints, varying schemas, outdated authentication methods, and those dreaded late-night alerts when a vendor introduces a breaking change. We prioritize speed and consistency in our deployment, leveraging AI tools (like Claude Code and Cursor) to enhance our efficiency.We are on the lookout for exceptional Staff and Principal Engineers to join our San Francisco team, focusing on enhancing how we connect and interact with the diverse systems our customers rely on. You'll be responsible for crafting the abstractions that simplify building new connectors, troubleshooting complex integration issues, and ensuring our platform scales effectively as we onboard enterprise clients with complex tech stacks. If you have a proactive mindset and a strong passion for delivering results, we would love to hear from you.Check out some of our blog posts that showcase our approach to tackling challenging problems:Incremental Sync: How C1 Keeps Identity Data Fresh in Real TimeBuilding Trust Through Connector Reliability

As the Space Shuttle approached the International Space Station, two distinct vehicles, crafted by separate teams across different nations with unique engineering philosophies, had to connect seamlessly. This intricate process, known as Rendezvous, Proximity Operations, and Docking (RPOD), required advanced subsystems capable of managing complex discrepancies like varying power systems, communication protocols, and technical architectures. A failure could result in costly and potentially disastrous outcomes in low Earth orbit. On December 19, 2025, Mercury announced its application to the OCC for a national bank charter alongside an application for FDIC deposit insurance. In essence, Mercury is in the process of establishing a bank. This initiative involves linking our modern, product-oriented engineering systems with enterprise core banking systems and payment networks that were developed in a significantly different era, based on different assumptions and interfaces. The Banking Integration Platform as a Service team at Mercury operates similarly to NASA's RPOD team, crafting our integration subsystems to ensure they are technically sound and operationally reliable. This role is critical to the foundational infrastructure at Mercury. Every account setup, monetary transaction, and balance inquiry will traverse the systems you create. Product teams across the organization will rely on well-defined abstractions that simplify underlying complexities. You will be among the select engineers at Mercury who possess a comprehensive understanding of our Bank Core and its various internal and external integrations. In this position, your responsibilities will include: Creating Mercury’s integration with an FFIEC-approved bank core and establishing connections to payment networks. Designing internal APIs that provide product teams with straightforward, consistent interfaces to complex external systems. Navigating the challenging realities of enterprise integrations, including retries, failures, format discrepancies, and outages. Developing data pipelines that ensure synchronization between Mercury's systems and our bank core. Managing monitoring, alerting, and recovery protocols for our most vital external connections. Collaborating with numerous teams within Mercury to delineate clear boundaries and reliable contracts. Contributing to the architectural design of Mercury Bank.

About Flow EngineeringFlow Engineering is a pioneering AI-driven requirements platform designed for contemporary engineering teams. We empower hardware groups to collaborate seamlessly with AI agents, facilitating the rapid design, validation, and evolution of intricate systems.Role OverviewWe are on the lookout for experienced Staff Software Engineers to develop AI-enhanced functionalities that streamline the process of authoring, reviewing, and managing requirements. You will be at the forefront of integrating AI into workflows for systems and domain engineering, shaping how teams analyze and improve their systems.This position uniquely combines aspects of AI, product development, and full-stack engineering, guiding projects from initial concept to stable, observable features in a live production environment.Your ResponsibilitiesDesign and implement AI-driven features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.Create agentic workflows enabling systems and domain engineers to explore designs, simulate alterations, and validate requirements effectively.Assess and incorporate language models and related tools, ensuring optimal reliability, latency, cost-effectiveness, and debuggability in a production setting.Build and sustain the necessary infrastructure including data pipelines, evaluation tools, prompt and model management systems, observability features, and safety protocols.Work across the tech stack, from backend services and APIs to user interface elements, to deliver integrated AI features rather than mere model endpoints.Collaborate with product teams and clients to identify high-impact workflows, conduct experiments, and iterate rapidly based on feedback.Qualifications8+ years of experience in software development, including the design, testing, and operational management of services at scale within a cloud environment.Proficient in working with modern large language models (LLMs) and associated tools (e.g., OpenAI, Anthropic, Hugging Face, vector stores, retrieval-augmented generation patterns).Knowledgeable in prompt design, retrieval-augmented systems, evaluation techniques, and safety measures.Capable of evaluating trade-offs between different models, architectures, and deployment strategies to make informed decisions.Adaptable to a fast-paced work environment that encourages ownership, experimentation, and iterative development.Our Technology StackWe utilize a modern tech stack that emphasizes AI-driven solutions.

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.

At Lyft, we are driven by our mission to connect communities and enhance mobility. We focus on fostering an open, inclusive, and diverse culture that empowers our teams. As part of our Mobile Foundations team, you will play a pivotal role in developing robust software solutions that tackle large-scale challenges, ensuring our mobile applications are not only stable but also scalable and efficient.In your role as a Senior Android Engineer, you will be responsible for creating and maintaining the core systems that serve as the backbone for all Lyft mobile engineers. Your contributions will enable teams across the organization to deliver exceptional experiences that seamlessly connect people and places. You will be instrumental in building scalable infrastructure that accelerates innovation while prioritizing an outstanding developer experience. Your efforts will directly enhance the stability of Lyft as a whole.Our mobile applications are utilized by millions, and we take pride in maintaining high development standards. We follow best practices in code architecture and embrace rapid release cycles. Our codebase is primarily written in Kotlin, leveraging modern design patterns and coding practices. We also actively engage with the developer community, contributing to open-source projects, including the Kotlin language itself.