Full Stack Engineer - Product & Systems at Lightfield | San Francisco

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates your email, calendar, and meetings into an organized platform. It captures every interaction and transforms it into actionable insights, tasks, accounts, and follow-ups, ensuring that nothing is overlooked.We are revolutionizing the CRM landscape from the ground up. Rather than imposing rigid structures on teams, Lightfield adapts to how businesses naturally operate, automating processes and highlighting insights that foster growth. We are crafting the CRM platform of our dreams: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team has a rich history of building impactful products, including Tome, a generative AI presentation tool embraced by over 25 million users. Our collective experience spans companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a skilled, innovative, and adaptable engineer excited to take on the challenge of designing, developing, and scaling the foundational infrastructure and systems that power Lightfield's AI-enhanced CRM.At Lightfield, engineers take full ownership of projects from ideation to execution, collaborating across various functions and pushing the boundaries of what is achievable in applied AI and data systems. You will play a pivotal role in crafting and constructing the data models and infrastructure that support a next-generation CRM, ensuring optimal performance, scalability, and resilience.What You'll DoDevelop and sustain full-stack systems, ensuring reliability, scalability, and robust performance.Architect and enhance the data infrastructure and backend services that drive Lightfield's AI-powered CRM.Design and refine data models to facilitate CRM workflows, customer interactions, and AI-derived insights.Create observability and metrics frameworks to promote seamless operations, proactive issue detection, and ongoing enhancements.Guide colleagues, engage in code reviews, and contribute to shaping the engineering culture and best practices.Play a key role in cultivating a top-tier engineering team through recruitment, mentorship, and knowledge exchange.Who You ArePossess 3+ years of software development experience, with a solid foundation in infrastructure, data modeling, and backend systems.Demonstrate extensive experience in designing scalable, high-performance systems.

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates information from your email, calendar, and meetings. It captures every interaction, transforming it into organized context—managing accounts, tasks, follow-ups, and insights—so that nothing is overlooked.We are redefining CRM from the ground up. Rather than forcing teams into rigid frameworks, Lightfield adapts to the real working styles of companies, automating processes and revealing insights that drive growth. Our vision is to build the CRM platform that we always wanted: fast, intelligent, and genuinely supportive.Supported by prominent investors like Greylock, Lightspeed, and Coatue, our team previously developed Tome, a generative AI presentation tool that has gained over 25 million users. Before Tome, many of us were part of the teams behind Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleLightfield is on the lookout for a proactive Infrastructure Tech Lead to help scale our platform during a period of rapid growth and increasing customer demand. Following our successful exit from private beta, we have witnessed strong adoption from hundreds of businesses joining weekly, including larger teams leveraging our product for mission-critical operations.As we scale our customer base and data volumes surpass initial expectations, our infrastructure is entering a new phase. This role will be pivotal in ensuring that our platform remains fast, reliable, and resilient as Lightfield advances into larger enterprise applications.This is not a position focused on building a team immediately; rather, it offers a high-impact chance for an experienced infrastructure engineer to dive in, tackle core scaling challenges, and help shape the foundational architecture of our system.Your ResponsibilitiesEnhance the reliability and performance of Lightfield's infrastructure as we accelerate customer growth.Lead initiatives to minimize database latency and optimize Postgres performance for high-volume workloads.Elevate operational maturity across the stack, focusing on observability, incident response, and production readiness.Develop scalable systems and infrastructure methodologies to accommodate larger clients and growing usage.Collaborate closely with product and engineering leadership to prioritize critical infrastructure tasks at every growth stage.Contribute to defining the long-term infrastructure roadmap, with the opportunity to influence future team structure and technical direction.

About LightfieldLightfield is an innovative, AI-powered CRM that seamlessly integrates with your email, calendar, and meetings. It captures every interaction and transforms it into organized context, including accounts, tasks, follow-ups, and valuable insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by focusing on the actual workflows of teams rather than imposing rigid systems. Lightfield learns from real-world usage, automating processes and surfacing insights that drive business growth. We’re creating the CRM platform we’ve always envisioned: fast, intelligent, and genuinely supportive.Supported by notable investors such as Greylock, Lightspeed, and Coatue, our team has a rich background, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have experience with leading companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAs a key member of Lightfield's AI/ML team, you will play a vital role in crafting the core experiences of our product, developing cutting-edge applications that delight our customers.Currently, our focus is on building a powerful, domain-specific AI that surpasses generic LLMs.We thrive on the challenge of creating groundbreaking AI products for professionals engaged in serious work, and we are eager to expand our AI/ML team to meet these ambitious goals.What You'll DoDevelop and deliver exceptional, unique AI experiences that sales teams will be excited to use.Collaborate with founders and executives to shape Lightfield's AI/ML strategy.Identify user needs suitable for AI/ML solutions, articulate challenges, and work closely with product leaders to devise solutions.Prototype innovative, LLM-powered experiences and guide their development into reliable product features.Contribute to building a world-class AI/ML engineering team through recruitment and mentorship.Who You ArePossess a BS or MS degree in Computer Science, Artificial Intelligence, or Applied Mathematics.Have over 5 years of experience in developing AI/ML products, particularly in Natural Language Processing (NLP).Demonstrate a solid understanding of deep learning AI/ML frameworks and cloud services.Bring hands-on experience in ML Operations (ML Ops).Bonus PointsExperience leading AI/ML product initiatives...

About LightfieldLightfield is a cutting-edge AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction, transforming it into organized context—encompassing accounts, tasks, follow-ups, and insights—ensuring no detail is overlooked.We are redefining CRM by focusing on fundamental principles. Rather than imposing rigid systems, Lightfield adapts to the natural workflows of companies, automating processes and revealing insights that propel growth. We're crafting the CRM platform we've always desired: swift, intelligent, and truly beneficial.Our team, backed by prominent investors such as Greylock, Lightspeed, and Coatue, has previously created Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have also contributed to renowned products at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a highly motivated and innovative engineer who is passionate about harnessing LLMs to create exceptional product experiences. Join us at the forefront of AI product innovation, where you will develop industry-leading solutions to address critical customer challenges.As an engineer at Lightfield, you will take ownership of projects from conception to execution, collaborating with cross-functional teams throughout the process. You will also help shape our company's product and technical vision, learning from each project as we continue to expand.What You Will DoPartner with product leaders to pinpoint customer challenges, define requirements, and implement LLM-powered solutions.Utilize LLMs as reasoning engines to develop domain-specific AI assistants.Craft and refine prompts, employing techniques such as few-shot learning and chain-of-thought.Design and optimize end-to-end RAG pipelines and agent architectures to effectively utilize both public and proprietary data.Enhance the overall quality of AI agents (e.g. relevance, fidelity, latency) through empirical evaluation and iterative improvements.Create and improve systems and tools that facilitate high-velocity experimentation (e.g. LLM-powered automated evaluation) and personalized product experiences.Stay updated with the latest AI research and integrate cutting-edge techniques into our work.Contribute to defining technical direction and best practices for AI application development at Lightfield.Play a role in building a world-class engineering culture.

Join our dynamic team at Lightfield as a Staff Engineer specializing in Backend Systems. We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to innovate and contribute to the design and implementation of our backend architecture. You will collaborate closely with cross-functional teams to deliver high-quality solutions that enhance our products and services.

About LightfieldLightfield is an innovative AI-driven CRM that intuitively organizes your communications from email, calendars, and meetings. It captures every interaction, transforming them into structured contexts: accounts, tasks, follow-ups, and insights, ensuring nothing is overlooked.Our mission is to revolutionize CRM by focusing on the natural workflows of teams rather than imposing rigid structures. Lightfield learns from actual business practices, automating processes and surfacing insights that fuel growth. We are developing the CRM platform we've always envisioned: rapid, intelligent, and genuinely supportive.Supported by prestigious investors such as Greylock, Lightspeed, and Coatue, our team boasts a rich history of innovation, having previously created Tome, a generative AI presentation tool embraced by over 25 million users. Many of us have also contributed to major platforms including Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAt Lightfield, we aim to become the most valuable and impactful company in go-to-market technology. To achieve this, we are recruiting a distinguished go-to-market team to establish our leadership in the CRM space, starting by collaborating with pioneering early-stage companies.We seek a Community Lead who will energize the early-stage founder ecosystem around Lightfield, fostering a vibrant network both online and in-person, centered at our San Francisco headquarters. This role will report directly to our Head of Go-To-Market.What You'll DoBuild and Lead the Lightfield Founder Community. Identify, invite, and nurture relationships with exceptional early-stage founders who are passionate about go-to-market strategies, emphasizing the development of deep, authentic connections.Execute Engaging In-Person Events. Design and implement events that founders genuinely want to join, including gatherings at our San Francisco HQ and activations at third-party trade shows.Create Sustainable Community Programs. Develop structured initiatives such as founder circles, GTM clinics, or “launching your first outbound strategy” cohorts, refining them based on what produces tangible results for participants.Enhance and Manage Our Founder Slack Community. Transform Slack into a thriving peer network where founders exchange go-to-market inquiries, successes, and best practices. Foster discussions, facilitate introductions, and highlight impactful conversations.Transform Conversations into Valuable Content. Capture insights from events and Slack interactions, converting them into engaging content (articles, videos, templates) that illustrate how top founders navigate modern go-to-market strategies.

Join the Lightfield TeamAt Lightfield, we are revolutionizing the CRM landscape with our AI-native platform that seamlessly integrates your email, calendar, and meetings. Our innovative solution captures every interaction, transforming it into organized insights—accounts, tasks, follow-ups, and much more—ensuring nothing falls through the cracks.We are committed to reimagining CRM from the ground up. Rather than imposing rigid systems, Lightfield adapts to the actual workflows of companies, automating processes and providing actionable insights that catalyze growth. We are creating the CRM solution we envisioned: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team is composed of veterans from Tome, a generative AI presentation tool used by over 25 million people, as well as industry giants like Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.Your RoleAs a pivotal member of Lightfield's AI/ML team, you will spearhead the development of experiences that sit at the heart of our product, crafting applications that truly impress our customers.The current focus is on constructing a robust, domain-specific AI that excels beyond generic large language models (LLMs). We are excited by the challenge of innovating new AI products that empower professionals in their endeavors, and we are eager to expand our AI/ML team to meet this ambition.Key ResponsibilitiesLead the creation of machine learning product development infrastructure, emphasizing scalability and innovation in collaboration and versioning, particularly for LLM training and prompting.Develop and sustain a platform utilized by various teams working on ML products, guaranteeing its scalability, efficiency, and user-friendliness.Work closely with internal teams to integrate ML solutions and establish best practices for software engineering in an AI-focused development environment.Contribute to building a top-tier AI/ML engineering team by recruiting and mentoring new talent.Tackle and resolve complex technological challenges in software engineering at scale, particularly related to AI systems.Who You AreYou possess a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.You have over 6 years of experience in software engineering, with a specialization in ML infrastructure.You demonstrate a robust understanding of deep learning frameworks and cloud services.

About LightfieldLightfield is a revolutionary AI-native CRM that seamlessly integrates with your email, calendar, and meetings. It meticulously captures every interaction, transforming it into well-organized context, including accounts, tasks, follow-ups, and insights, ensuring that no detail is overlooked.We are redefining the CRM landscape from the ground up. Rather than compelling teams to adhere to inflexible systems, Lightfield intelligently adapts to how companies operate, automating processes and surfacing insights that foster growth. We are crafting the CRM platform we've always envisioned: fast, intelligent, and genuinely beneficial.Supported by esteemed investors such as Greylock, Lightspeed, and Coatue, our team previously developed Tome, a generative AI presentation tool utilized by over 25 million people. Before Tome, many of us contributed to the success of Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe have successfully launched a product that founders adore, with nearly 2,000 companies registering since our debut in November. We are now poised to establish our first direct sales strategy. With strong product-led growth in self-service, we need an individual who can transform that momentum into significant $20K+ contracts with Series A/B startups.This position is foundational. You will not inherit an established playbook or team, but you will be presented with genuine demand. We have a growing number of multi-seat accounts, engaged teams, and high-intent signals ready to be harnessed. The pipeline is established; we require someone capable of converting it. You will leverage our product-led growth data to identify high-potential accounts, complementing it with targeted outreach to VC-backed startups, managing the complete sales cycle from initial meetings through to closing.You will report directly to the Head of GTM. Initially, you will oversee the entire sales process—crafting discussion points, developing pilot frameworks, and finalizing deals. As we scale into larger markets, you will play a key role in shaping the future of our sales organization.What You'll DoManage the complete sales cycle. Conduct discovery, demonstrations, pilot programs, and close deals ranging from $20K to $50K with 30-day cycles. Your clients will include VP Sales, RevOps leaders, and technical founder-CEOs at startups with 20–250 employees.Enhance our existing pipeline and build upon it. We have numerous active accounts with team adoption, multi-seat usage, and indications of CRM migration. You will enrich and prioritize this existing base while layering targeted outreach to Series A/B portfolios to achieve 3–4x pipeline coverage.Develop the sales playbook. Create pilot templates, mutual action plans, and collateral that will serve as the foundation for the team that follows.

About NumeralNumeral is revolutionizing the automation framework for online commerce, beginning with the often tedious task of sales tax compliance. We take care of everything from registration to remittance, providing an exceptional service that allows e-commerce businesses to concentrate on their core mission: expanding their products, customer base, and teams.As one of the rapidly growing companies from Y Combinator’s Winter 2023 cohort, we are backed by prestigious investors such as Benchmark Capital. Our team boasts extensive experience from the pioneering days at Stripe, Airbnb, Notion, and other leading firms, and we are poised to bring that same level of expertise, speed, and ambition to an industry ripe for transformation.Numeral may be small, but our impact is significant. Our growth is already approaching unmanageable levels, meaning each new hire will play a crucial role in shaping our company’s future. If you’re eager to join as an early team member and desire the kind of ownership that can define your career, we would love to connect with you.MissionOperating an online business today often requires juggling numerous responsibilities, many of which are not why founders launched their ventures. Our mission is to alleviate the administrative and accounting pressures that divert businesses from their passions.We have already assisted hundreds of merchants in sidestepping the headache of establishing large finance teams solely to manage tax compliance. Looking ahead, we aim to broaden our positive impact by developing the automation layer that enables online businesses to remain agile, compliant, and prepared for the future.About the RoleWe are seeking a foundational Software Engineer (Infrastructure) who excels at tackling complex distributed systems challenges at scale. In this role, you will design and implement core infrastructure, enhance service reliability and observability, and guarantee the platform’s scalability as we accommodate growing transaction volumes and integrations.This is a pivotal role with high leverage: your contributions will shape the architecture and technical direction of our infrastructure platform, directly influencing our customers’ experience and the trajectory of the company.ResponsibilitiesDesign and develop highly scalable, secure, and reliable infrastructure to support critical APIs, services, and data pipelines.Lead infrastructure architecture decisions focusing on performance, observability, and fault tolerance.

At Greptile, we are on a mission to develop intelligent agents that autonomously verify code modifications. Our current focus involves utilizing AI to analyze pull requests on GitHub, effectively identifying bugs and enforcing coding standards. With our technology, we review nearly 1 billion lines of code each month for over 3,000 companies.Challenges We Are Excited To TackleDeveloping agents that can learn coding standards through experience, similar to how new hires adapt.Determining customer-specific preferences for pull request feedback using sample-efficient reinforcement learning to enhance signal-to-noise ratios.Implementing automated deployments of feature branches and leveraging agents to stress-test the application for bug detection.Our Growth TrajectoryServing over 7,000 customers.Successfully raised $30 million from prominent investors including Benchmark, Y Combinator, Paul Graham, and Initialized.Our TeamWe have curated a highly skilled team that has successfully scaled vital functions at leading companies such as Stripe, Google, Figma, and others.Key ResponsibilitiesDesign and implement resilient infrastructure to accommodate Greptile's expanding user base.Collaborate with our largest enterprise clients to facilitate the deployment of Greptile within their environments.Streamline the on-premise deployment process to support smaller clients with minimal hands-on intervention.

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction and organizes it into valuable insights, accounts, tasks, and follow-ups, ensuring that no detail is overlooked.We are revolutionizing CRM by focusing on the actual workflows of organizations. Rather than forcing teams to adhere to rigid systems, Lightfield intelligently learns and adapts, automating processes and providing actionable insights that fuel growth. We are building the CRM solution we always wanted: rapid, intelligent, and genuinely supportive.Our team is backed by prominent investors including Greylock, Lightspeed, and Coatue, and has a proven track record, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our members have extensive experience, having contributed to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a dynamic, creative, and adaptable engineer who is passionate about crafting scalable, high-performance features and systems that offer cutting-edge AI product experiences.At Lightfield, engineers play a crucial role in project ownership from conception to execution, working collaboratively across various functions and pushing the boundaries of what is achievable in applied AI system development. You will partner with a talented team to provide industry-leading solutions while contributing to both the product and technical vision of Lightfield.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and implement effective solutions.Design and maintain full-stack product features and systems from inception to deployment, ensuring they are reliable, scalable, and performant.Create observability tools and metrics that facilitate smooth operations, proactive issue detection, and ongoing improvement.Provide mentorship to team members, engage in code reviews, and help cultivate a strong engineering culture and best practices.Contribute to the development of an exceptional engineering team through recruitment, mentorship, and knowledge sharing.Your ProfileYou are enthusiastic about Large Language Models (LLMs) and eager to build systems that harness their capabilities.You are quick to adapt to a tech stack featuring TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.You possess solid software engineering fundamentals and are ready to tackle challenging problems.

About Flow EngineeringAt Flow Engineering, we are pioneering an AI-native requirements platform that empowers cutting-edge engineering teams to collaborate seamlessly with AI agents. Our mission is to facilitate the design, validation, and evolution of complex systems with unmatched speed and precision. Following our successful Series A funding, we are on an exciting trajectory to scale our product from thousands to hundreds of thousands of users, all while upholding the highest standards of reliability and performance.About the RoleWe are seeking a passionate Infrastructure Software Engineer to join our dynamic team. In this role, you will be instrumental in constructing and expanding the core platform that underpins Flow. You will manage services and infrastructure that empower "agentic systems engineers" and product teams to leverage Flow in their daily tasks.You will become a key member of a small, senior team that prioritizes speed, ownership, and solid engineering principles—delivering version 1 products swiftly, learning, and iterating effectively.Your ResponsibilitiesDesign, develop, and maintain backend services and platform primitives that facilitate complex engineering workflows and large-scale collaboration.Enhance Flow’s capacity from thousands to hundreds of thousands of users, focusing on performance, reliability, observability, and security across the entire stack.Take ownership of CI/CD pipelines, testing infrastructure, and internal tools to enable rapid and safe product releases.Collaborate with frontend and AI engineers to establish robust APIs, data models, and integration points that are easy to adapt and evolve.Contribute to architectural decisions and the technical roadmap as our product and customer base expands.Your ProfileA minimum of 3 years of software engineering experience in building and maintaining production systems within a cloud environment (e.g., AWS or GCP).Deep understanding of systems design, distributed systems, and best practices for reliability, observability, and security.Proficiency with containerization and infrastructure-as-code tools (e.g., Docker, Terraform, etc.).Ability to take ownership of projects end-to-end in a fast-paced environment and make pragmatic decisions amidst ambiguity.A collaborative mindset with low ego, eager to work closely with product, design, and customer-facing teams.Our Technology StackUtilization of TypeScript, Node.js, and React for application development, with a strong emphasis on type safety.Employing Postgres and various managed cloud services for data persistence and messaging.

About Our TeamJoin our dynamic Infrastructure organization at OpenAI, where we are actively seeking talented software engineers to bolster our efforts across several high-impact teams. With a variety of focus areas available—including Core Distributed Systems, Databases, Observability, and Cloud Infrastructure—you'll have the opportunity to work on projects that fascinate you. Our teams operate with a high level of autonomy and foster a deeply collaborative environment, all dedicated to enhancing safety, reliability, and operational velocity across the organization.About the RoleAs a Software Engineer focused on Infrastructure Reliability, you will play a pivotal role in scaling and fortifying the infrastructure that supports some of the world’s most widely utilized AI systems. Your work will ensure that our systems maintain high reliability, observability, performance, and security—enabling researchers to iterate rapidly and allowing products like ChatGPT and the OpenAI API to effectively serve millions of users.This hands-on, impactful role is perfect for engineers who enjoy ownership, excel at solving complex technical challenges across the entire stack, and wish to contribute to systems that facilitate cutting-edge research deployed on a global scale. You will significantly influence technical direction, enhance system resilience, and collaborate closely with infrastructure, product, and research teams to transform intricate infrastructure into dependable platforms.Key ResponsibilitiesDesign, construct, and maintain reliable, high-performance systems utilized across engineering.Identify and resolve performance bottlenecks and inefficiencies, ensuring our infrastructure scales appropriately.Investigate and troubleshoot complex issues thoroughly.Enhance automation to minimize manual tasks and improve internal developer tools.Participate in incident response, postmortem analysis, and the development of best practices surrounding system reliability and scalability.Ideal Candidate ProfilePossess a deep understanding of distributed systems principles, with a proven track record in developing and managing scalable, reliable systems.Demonstrate a strong focus on performance and optimization, with the ability to maximize efficiency in complex, globally distributed systems.Have experience managing orchestration systems such as Kubernetes at scale and creating abstractions over cloud platforms.Be comfortable working within Linux environments and possess strong problem-solving skills.

About VibecodeAt Vibecode, we are revolutionizing the way software is created. Our innovative platform empowers anyone to articulate an idea and instantly transform it into a fully functional application—no coding skills required.We are tackling one of the most significant challenges in computing: aligning human intent with software execution. This endeavor necessitates groundbreaking advancements in AI reasoning, code generation, and user experience design.Our impressive seed funding comes from some of the top investors globally, including Alexis Ohanian (776), Arielle Zuckerberg, Cyan Banister (Long Journey), Ali Partovi, Suzanne Xie (Neo), and numerous esteemed angels from Google, Expo, OpenAI, and beyond.About the RoleAre you eager to be at the cutting edge of infrastructure design for a consumer product that will reach millions? If so, this opportunity is perfect for you.We seek an Infrastructure Engineer to develop the foundational systems that support millions of AI-generated applications. You will design a platform capable of securely hosting thousands of user-created applications concurrently while ensuring optimal performance and unwavering reliability.Your Responsibilities:Develop and implement secure sandbox environments for executing untrusted AI-generated code at scale.Create orchestration systems for stateless containers capable of launching over 10,000 applications simultaneously.Architect backend API services for real-time code generation, compilation, and deployment.Establish monitoring and observability systems for complex, multi-tenant application infrastructures.Design auto-scaling solutions to manage unpredictable traffic patterns from viral consumer applications.Build security-focused infrastructure that isolates user applications while preserving performance.This is not conventional infrastructure work. You will face unique challenges related to large-scale code execution, develop systems that are yet to be created, and establish infrastructure paradigms suited for the AI-native era.

OVERVIEWThis position is based out of our San Francisco office.At Modern Treasury, we are revolutionizing the way money moves. Our team is developing innovative products that empower customers to transfer funds seamlessly across traditional banking systems and emerging technologies, including stablecoins. In this role, you will play a critical part in designing, deploying, and managing the infrastructure that enables this transformation.This is a hands-on devops position that offers significant ownership of our infrastructure architecture and platform automation.ABOUT THE ROLEAs a key player at the crossroads of infrastructure, platform engineering, and security, you will define the strategies for scaling and managing our infrastructure while guiding teams to adopt cohesive architectural patterns.You will take the lead in building infrastructure systems that support:Multi-rail money movementReal-time payment flowsLedger-backed transaction processingHigh-availability payment orchestrationThis role is a senior individual contributor position that significantly influences our Product, Platform, and Infrastructure teams.WHAT YOU’LL DOLead the architecture for AWS infrastructure, container orchestration, and CI/CD processes to support scalable payment systems.Standardize automation and infrastructure-as-code practices for provisioning, scaling, and operating high-volume ledger and transaction platforms.Minimize operational overhead through enhanced tooling, optimized workflows, and elevated engineering standards.Enhance performance, reliability, and observability across our real-time and rails-specific infrastructure.Define service ownership and operational models, ensuring alignment between platform and product teams on scalable rail architecture.Contribute to the infrastructure and security strategy for new payment rails, including FBO structures, stablecoin integrations, and compliance-focused features.WHAT YOU SHOULD HAVERequired8+ years of experience in DevOps or infrastructure engineering.

About Candid HealthCandid Health is dedicated to transforming the healthcare landscape by addressing one of its most intricate and expensive challenges: the billing and revenue cycle management (RCM) process. The healthcare sector has been hampered by sluggish, inefficient workflows that squander precious resources, ultimately detracting from providers' ability to focus on patient care. Our innovative revenue cycle automation platform is set to revolutionize this domain with a smart, data-driven methodology that streamlines billing, enhances claims processing, and eradicates administrative inefficiencies.The OpportunityAs a Staff Engineer at Candid Health, you will have the opportunity to tackle our most challenging infrastructure issues, developing the essential frameworks needed for rapid scalability and to meet surging customer demand.In this position, you will take significant ownership of resolving technical bottlenecks related to scalability, performance, reliability, and observability across distributed systems. You will be empowered to make strategic decisions regarding build versus buy, guiding technical discussions and architecting solutions that enhance the reliability and performance of our core platform.Moreover, you will participate in leadership discussions, allowing you to advocate for your team, influence project prioritization on the roadmap, and stay informed about developments across the engineering organization.We seek an individual who has successfully led high-stakes, business-critical technical projects to swiftly scale an organization's infrastructure, significantly impacting business success. The ideal candidate will have experience in a startup environment where the product achieved maturity, yet the technology required rapid scaling to meet customer needs, and you were integral in facilitating that growth.

Clever is dedicated to bridging the gap in education by connecting every student globally to a vast array of learning opportunities. Our innovative identity platform supports 77% of U.S. schools and over 1 million K-12 students worldwide. As a trusted ally for educational institutions, we ensure secure and seamless access to digital learning resources, empowering students everywhere. Clever is proud to be a Kahoot! Company, headquartered in San Francisco, CA, with a far-reaching impact. Discover more about us at www.clever.com.The Infrastructure team at Clever is responsible for the engineering of our platform. This includes the development and enhancement of the internal developer platform utilized by our engineering teams to build, deploy, operate, and monitor Clever’s products. As a valued member of the Infrastructure team, you will be instrumental in creating self-service 'golden paths' and shared tools that enable teams to deliver and iterate on products swiftly and safely while ensuring adherence to reliability, security, and compliance standards. You will collaborate with engineering teams to identify pain points, enhance automation and workflows, and continuously elevate the developer experience and operational efficiency throughout the organization.

Join our dynamic team at leverdemo-8 as a Software Engineer specializing in Cloud Infrastructure. We are passionate about reimagining the hiring landscape and are looking for talented engineers to enhance our YugaByte DB for enterprise applications. Your expertise will contribute to optimizing orchestration support across major public clouds including AWS, Google Cloud, and Azure, as well as Kubernetes services and private data centers. You'll play a crucial role in the control and manageability plane of YugaByte and collaborate with tools such as Prometheus and Alert Manager to ensure seamless infrastructure management.Please note that this position is part of Lever's testing environment; we kindly ask you not to apply for this role.

About UsAt Hayden AI, we are dedicated to leveraging the capabilities of computer vision to revolutionize how transit systems and government agencies tackle pressing real-world issues.Our cutting-edge mobile perception system enhances bus lane enforcement, transportation optimization, and much more, empowering our clients to speed up transit, improve street safety, and work towards a sustainable future.About the RoleThe Infrastructure Engineering team plays a vital role in the success of Hayden AI products. We are responsible for the foundational infrastructure that links thousands of deployed devices to our extensive, multi-region cloud services and applications that utilize the data collected from these devices. If you consider yourself a force multiplier, you’ll thrive in our dynamic team!Key Responsibilities:Architect the Service Backbone: Lead the design and continuous improvement of our core services architecture, ensuring a robust, high-availability backbone for all cloud services and engineering teams.Drive Technical Roadmap: Define the long-term technical strategy and architectural vision for our cloud services, aligning with future business expansion and technological advancements.Strategic Decision Making: Lead pivotal architectural decisions, conduct in-depth code reviews, and assess technical trade-offs to maintain a sustainable and scalable service ecosystem.Scale Multi-Region Cloud: Design and oversee globally distributed, multi-region cloud deployments utilizing advanced Infrastructure as Code (IaC) for optimal scalability and performance.Automate Everything: Employ automation and modern orchestration tools to minimize manual tasks, enabling a self-service infrastructure model that allows developers to deploy code swiftly and safely.