Distributed Systems Engineer - Data Platform - Analytics and Alerts

Join Cloudflare as a Distributed Systems Engineer within our dynamic Data Platform team, focusing on Analytics and Alerts. In this position, you will play a pivotal role in building and optimizing distributed systems that power our data analytics capabilities, providing real-time insights and alerts to enhance our customer experience.

About StravaStrava is the ultimate app for individuals who embrace an active lifestyle. With a vibrant community of over 180 million athletes spanning more than 185 countries, Strava transcends mere workout tracking—it's a platform where individuals collaborate to achieve their goals, develop new habits, and surpass personal milestones. Regardless of your chosen sport or tracking method, Strava is here to support you. Join us and start crushing your goals today by beginning your journey with Strava.Our mission is straightforward: to inspire individuals to lead their most active lives. We firmly believe in the transformative power of movement to connect and propel people forward.About This RoleAs a key member of the Foundation engineering team at Strava, you will play a crucial role in ensuring the reliability and security of the infrastructure that supports millions of athletes on their journeys. You will develop the tools, frameworks, and platforms that are essential to delivering valuable features to our users.In your role as a Senior Engineer on the Foundation team, you will have the opportunity to enhance Strava's core platform. You will empower teams to innovate swiftly and confidently by enhancing the developer experience, creating tools, collaborating with teams, and ensuring that features are delivered safely and efficiently.We embrace a flexible hybrid work model, which means you will spend over half of your time on-site at our San Francisco office—three days a week.

Airbnb, founded in 2007, has revolutionized the way people travel by connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform offers unique stays and experiences that foster genuine connections with communities around the globe.The Role:The Airbnb Payments team is dedicated to facilitating seamless monetary exchanges through user-friendly payment services, embodying our mission to 'belong anywhere.' We are constructing a premier payments platform capable of processing billions of dollars across 191 countries and 75 currencies through a complex network of payment partners. As we expand, we will be integrating new partners, licenses, compliance measures, and enhancing the payment experiences for both guests and hosts.As a Senior Staff Engineer and Technical Lead within the Payments Compliance organization, you will oversee the technical strategy and architectural vision across a comprehensive Compliance engineering landscape, which includes Policy Enforcement, Identity, Screening, Auditing, and Compliance Experience. Your focus will be to ensure the scalability and cohesion of compliance systems while aligning them with the broader objectives of the company in an increasingly complex regulatory environment.We seek a seasoned technical leader capable of bridging deep systems expertise with organizational influence. You will drive Compliance's strategic initiatives, defining component integration, identifying shared capabilities, and ensuring optimal use of platform investments made by partner teams. Your decisions will significantly impact Airbnb's compliance with obligations such as Anti-Money Laundering (AML), Know Your Customer (KYC), and sanctions screening, all while minimizing operational costs and enhancing customer experience.This role extends beyond the Compliance team, requiring collaboration with various engineering teams and cross-functional stakeholders across Product, Content, Legal, and Design.

Join Us at LangChain:At LangChain, we are committed to revolutionizing the world of intelligent agents. Our mission is to empower developers to transition their innovative prototypes into production-ready AI agents that organizations can depend on. Starting as a suite of widely used open-source tools, we have expanded to provide a comprehensive platform for creating, assessing, deploying, and managing agents at scale.Our cutting-edge solutions, including LangChain, LangGraph, LangSmith, and Agent Builder, are trusted by teams delivering real AI products, from startups to major corporations. With millions of developers utilizing LangChain, we proudly support organizations like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.Having raised $125 million in Series B funding from esteemed investors such as IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are poised for accelerated growth and innovation, allowing every team member to significantly impact our projects and collaborative processes. At LangChain, your input will help shape the real-world impact of this transformative technology.About the Role:We are seeking a passionate Education Engineer to facilitate the learning journey for developers and agent builders using LangChain, LangGraph, and LangSmith. In this dynamic role, you will transform cutting-edge applied AI research into engaging educational experiences, ranging from hands-on workshops and meetups to comprehensive online courses and recorded video tutorials.You will collaborate with our Applied AI and software engineering teams to design high-quality learning materials that elucidate essential concepts in Agentic AI, provide real-world applications, and empower external developers to effectively utilize our tools. This hybrid position marries technical expertise in software development with a commitment to education, community engagement, and effective communication.Your responsibilities will include:Collaborating with LangChain engineers to create educational content that introduces generative AI and agent-building principles utilizing LangChain, LangGraph, and LangSmith.Designing curriculums and learning pathways for our vibrant community of over 1 million developers and agent builders.Producing and delivering content in various formats:Online courses for LangChain Academy, video tutorials, and webinarsLive presentations at workshops, hackathons, meetups, and conferencesMaintaining and updating educational resources to reflect the latest advancements in AI technologies.

Company Overview At Specter, we are pioneering a software-defined "control plane" designed to enhance the real-world perception of physical assets. Our mission begins with safeguarding American businesses by providing them with comprehensive insights into their physical environments.To achieve this, we are developing a robust hardware-software ecosystem leveraging multi-modal wireless mesh sensing technology. This innovation allows us to significantly reduce the cost and time involved in sensor deployment by a factor of ten. Ultimately, our platform aims to serve as the perception engine for businesses, facilitating real-time visibility and autonomous management of their operational perimeters.Our co-founders, Xerxes and Philip, are deeply committed to empowering our partners in the rapidly evolving landscape of physical AI and robotics. We are a dynamic, rapidly expanding team comprised of talent from Anduril, Tesla, Uber, and the U.S. Special Forces.Position Overview Specter is seeking a dedicated Machine Learning Infrastructure Engineer to construct and optimize the ML systems that drive real-time perception and inference capabilities across our edge-cloud platform. This position will involve overseeing the training, deployment, and enhancement of computer vision and sensor fusion models, aimed at enabling autonomous monitoring and decision-making for our clients' physical assets.Key Responsibilities Include:Design and implement scalable ML training pipelines for computer vision applications, including object detection, tracking, classification, and segmentation.Develop efficient model serving infrastructures to facilitate real-time inference on edge devices with limited computational and power resources.Optimize models for deployment on embedded hardware, employing techniques such as quantization, pruning, TensorRT, ONNX, and CoreML.Create continuous training and evaluation systems to enhance model performance through feedback loops derived from production data.Establish data pipelines for the ingestion, labeling, versioning, and management of extensive multi-modal sensor datasets, including video, radar, lidar, and thermal data.Implement model monitoring frameworks, A/B testing methodologies, and performance analytics for deployed perception systems.Collaborate with perception researchers to transition models from research environments to scalable production across thousands of edge nodes.Construct tools and infrastructure for distributed training, hyperparameter optimization, and experiment tracking.

About CodeRabbitCodeRabbit is a pioneering research and development firm dedicated to advancing productivity through innovative human-machine collaboration systems. Our mission is to develop the next generation of AI-driven code reviewers, fostering a collaborative relationship between human creativity and sophisticated algorithms that surpasses the capabilities of individual engineers. By merging advanced language models with human insight, we aim to redefine efficiency and quality in software development.Role OverviewAs a Solutions Engineer, you will act as a vital technical advisor and advocate for our clients at CodeRabbit. This position is essential to the pre-sales process, where you will collaborate with Sales, Product, Engineering, and Customer Success teams to demonstrate the value of our offerings. This is an exciting opportunity for individuals who are technically curious and passionate about crafting AI-enhanced solutions for the Software Development Life Cycle (SDLC). Join us to make a meaningful impact in a dynamic, collaborative environment focused on ensuring our customers' success.Your Responsibilities:Work alongside Account Executives to understand customer needs and create tailored technical solutions.Deliver engaging demonstrations and impactful Proof of Value (PoV) presentations to effectively communicate the benefits of the CodeRabbit platform.Assist with responding to security questionnaires.Provide continuous feedback and collaborate across teams to resolve customer issues, enhancing product experience.Stay updated on industry trends and emerging technologies in AI development tools.Contribute to the enhancement of internal tools and the documentation of playbooks, guides, and best practices.Facilitate the transition from pre-sales to post-sales to ensure a seamless onboarding experience for customers.Your Qualifications:A minimum of 2 years in a customer-facing technical role.A deep passion for helping customers achieve success using the CodeRabbit platform.Excellent organizational skills with the ability to manage multiple customer demands concurrently.Experience with software development tools and platforms.Comfortable in a fast-paced environment with strong problem-solving skills.

Join us in shaping the future of talent acquisition at Lever! As a Founding Ecosystem Engineer, you will play a pivotal role in developing innovative solutions that redefine how companies recruit and hire top talent.Lever, established a decade ago, is at the forefront of revolutionizing hiring software, trusted by industry leaders including Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify. Our commitment to reimagining the talent acquisition process has positioned us as an innovation leader in the industry. We are proud to have been recognized as the top workplace in San Francisco and among the best in the United States. We attribute our success to our exceptional team, our 'Leveroos', and our people-first culture, which we continue to cultivate as we grow.

About UsAt Sierra, we are innovating a transformative platform designed to empower businesses in crafting exceptional, human-centric customer experiences utilizing AI technology. Our headquarters is located in the vibrant city of San Francisco, with an expanding presence in key global cities including Atlanta, New York, London, France, Singapore, and Japan.Our company culture thrives on core values that shape our actions: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. We are devoted to integrating these principles into every facet of our work.Sierra was co-founded by industry visionaries Bret Taylor, who is the Board Chair of OpenAI and former co-CEO of Salesforce, and Clay Bavor, a seasoned Google veteran who led numerous groundbreaking initiatives including Google Labs and Project Starline.Your RoleCraft a comprehensive playbook for onboarding and educating customers on Sierra's offerings, including the Agent SDK and our no-code platform, Agent Studio.Spearhead the design and implementation of developer training and enablement initiatives.Create scalable content, such as technical documentation, educational videos, onboarding pathways, and sample repositories to facilitate SDK adoption.Serve as an Agent Software Engineer to develop and deploy AI Agents, gaining expertise in agent development.Collaborate with marketing teams to publish developer case studies and success stories that resonate with our expanding technical community.What You BringA genuine passion for empowering businesses—both small and large—to develop outstanding AI Agents.A degree in Computer Science or a similar field, or equivalent hands-on professional experience.A minimum of 4 years of experience in software development, particularly in highly technical products or developer relations.Exceptional written and verbal communication skills, with a commitment to engaging in hands-on training sessions.

Join us as a founding Product Engineer at Ando! We are in search of engineers who possess a keen sense for product development and an unwavering attention to detail. If you thrive in fast-paced environments, even better!About AndoOur teams are actively creating AI agents that integrate with platforms like Slack and email. We are not just enhancing existing tools; we are fundamentally reimagining communication to foster improved collaboration between humans and AI.Why Choose Ando?If you appreciate the dynamic and exciting nature of early-stage startups and cherish the camaraderie of working late with a small team, Ando is the place for you.You enjoy the satisfaction of creating software that will reach hundreds of thousands of users, rather than getting lost in enterprise solutions.You want to excel in your career alongside those who challenge you to improve and help cultivate that team spirit.Our Commitment to AIIf you do not have a passion for Large Language Models (LLMs) or do not use them daily, we encourage you to develop that interest before applying!If you do not appreciate the craftsmanship of software and cannot discuss inspiring examples, this role may not be for you.Your Role at Ando:Design and build our primary messaging infrastructure to ensure it is instant, reliable, and delightful to use.Focus on the essential yet often overlooked components of the product, such as retrieval and evaluations.Collaborate with our design team to prototype innovative interaction patterns for human-agent collaboration.Develop an API and agent platform that external developers will genuinely enjoy using.Conduct experiments with tool evaluation to determine effective practices.Enhance our context and retrieval systems through iterative design.Elevate our engineering standards, assist with recruitment efforts, and maintain our quality benchmarks.Utilize Ando daily, provide candid feedback, and drive product enhancements.

speak seeks a Quality Assurance Engineer based in San Francisco to help maintain and raise the quality of its software products. This position works side by side with developers, product managers, and other colleagues to shape testing methods and contribute to ongoing product improvement. Key responsibilities Work with engineers and product managers to define and improve testing strategies Identify issues and assist in resolving them to enhance product functionality Contribute to delivering software that is reliable and user-friendly What speak values Careful attention to detail Dedication to quality in each release Ability to collaborate effectively across different teams

Join WorldLabs as a Research Platform Engineer and be at the forefront of innovation in research technology. In this role, you will develop and enhance our research platforms, ensuring they are robust, scalable, and user-friendly. Collaborate with cross-functional teams to translate complex research requirements into technical specifications, and drive the implementation of cutting-edge solutions that empower researchers worldwide.

Accordion is hiring a Senior Quality Engineer to help maintain and improve quality across products and services. This position is based in several major cities, including Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco. Role overview This role centers on upholding high quality standards throughout the development process. The Senior Quality Engineer works with teams from different disciplines, contributing expertise in quality assurance and process improvement. What you will do Create and execute detailed test plans to validate product and service quality Work closely with cross-functional groups to identify and document defects Support continuous improvement by sharing insights and recommending process changes Location Positions are available in Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco.

Arine, a fast-growing healthcare technology and clinical services company based in San Francisco, is dedicated to ensuring individuals receive the safest and most effective treatments tailored to their unique healthcare needs. Our mission is to redefine healthcare excellence by addressing the challenges posed by medications that can often do more harm than good.In the U.S., incorrect medications and dosing result in over $528 billion in waste and preventable harm annually. Our innovative software platform (SaaS) leverages cutting-edge data science, machine learning, AI, and deep clinical expertise to offer a patient-centered approach to medication management. We develop and implement personalized care plans at scale, benefiting both patients and their care teams.Arine is committed to enhancing the lives of complex patients, who significantly impact healthcare costs and are often challenging to identify and assist. These patients face a myriad of issues, including complicated prescriptions across multiple medications and providers, chronic disease management challenges, and access to care difficulties. Supported by leading healthcare investors and collaborating with top organizations, we provide actionable recommendations and enable clinical interventions that lead to measurable health improvements and cost savings for our customers.Why Choose to Work at Arine?Exceptional Team and Culture - Our shared mission inspires us to excel and fosters a culture of relentless passion and innovation, positioning us as market leaders in medication intelligence.Making a Tangible Impact in Healthcare - We are saving lives and enabling individuals to achieve better health outcomes.

Who We AreLightning AI, the driving force behind PyTorch Lightning, was established in 2019. We have developed a comprehensive platform that streamlines the process of creating, training, and deploying AI systems, transforming innovative ideas from research to production with greater efficiency.Following our merger with Voltage Park, a leading neocloud and AI Factory, we are proud to combine cutting-edge developer-focused software with cost-effective, large-scale computational resources. Our platform provides teams with essential tools for experimentation, training, and production inference, all while ensuring security, observability, and control.Our clients range from independent researchers to startups and large enterprises. Lightning AI has a global footprint, with offices in New York City, San Francisco, Seattle, and London, and is supported by prominent investors including Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.Our ValuesMove Fast: We prioritize speed and precision, breaking down complex challenges into manageable steps.Focus: We tackle one goal at a time, working collaboratively to deliver features with accuracy.Balance: We believe sustained performance is rooted in rest and recovery, promoting a healthy work-life balance to optimize your performance.Craftsmanship: We value excellence and attention to detail, taking pride in honing our skills.Minimal: We embrace simplicity as a driver of innovation, eliminating unnecessary complexity through disciplined focus on what truly matters.What We're Looking ForWe are seeking a talented Backend Engineer to contribute to the development and scaling of the Lightning AI platform, encompassing frontend, CLI, API, billing, security, and integrations.The ideal candidate will take ownership of significant features and lead development efforts from conception to launch while collaborating with a highly skilled team of engineers, product managers, and designers. You will have the opportunity to advance groundbreaking technology that will reshape the machine-learning ecosystem!You will join the Blue Squad and report to our Director of Engineering. This is a hybrid position based in our Bay Area office, requiring in-office attendance two days per week.

Are you ready to drive innovation in AI?About LaminaLamina is at the forefront of revolutionizing commercial lending through our collaborative SaaS platform, making multi-lender transactions seamless and efficient. We equip financial institutions with cutting-edge tools that enable secure deal syndication and participation.Position OverviewWe are looking for a talented and innovative Senior AI Engineer to join our dynamic Lamina team. Your primary focus will be on developing intelligent agents and sophisticated prompting systems that elevate automation, decision-making, and user engagement throughout our platform. You will work closely with product managers, engineering teams, and designers to architect and implement AI-driven solutions that integrate seamlessly into the Lamina ecosystem.Key ResponsibilitiesDesign and implement AI models that enhance platform capabilities.Collaborate with cross-functional teams to translate business needs into technical solutions.Optimize AI algorithms for performance and scalability.Conduct research and stay updated on the latest trends in AI and machine learning.Develop documentation and provide training for internal teams on AI tools.

Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.

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.

Slash Financial creates tailored financial infrastructure for businesses in a variety of sectors. The company blends the reliability of traditional banking with high yields, strong rewards, and security, while offering features that help clients operate more efficiently and profitably. Founded in 2021, Slash Financial processes over $10 billion in business transactions each year. The company recently secured $100 million in Series C funding led by Ribbit Capital, with additional backing from Khosla Ventures, Goodwater Capital, NEA, and Y Combinator. This investment supports ongoing product development and expansion into new markets. Headquartered in San Francisco, the team emphasizes in-person collaboration at the office. Role overview The GTM Engineer will join a group dedicated to building a financial platform for complex, global businesses. This position involves close work with customers and the sales team, contributing at every stage from initial discovery to implementation and ongoing support. Direct client interaction is a key part of this job. Insights gathered from these engagements shape solutions and help transform custom work into platform features that serve thousands of businesses. This is a hands-on, customer-facing position. GTM Engineers write code, tackle technical challenges, and take responsibility for outcomes. Location This position is based onsite at the San Francisco office.

Okta is hiring a Staff Backend Engineer to focus on Non-Human Identities in San Francisco, California. This position centers on building and enhancing backend systems that manage secure identities for non-human entities, such as applications and services. Key responsibilities Design and implement backend solutions to strengthen identity management for non-human identities. Collaborate with engineering, product, and security teams to develop new features and improve existing systems. Contribute technical expertise and fresh ideas to the ongoing evolution of Okta’s identity platform. Role focus This role emphasizes backend development with a focus on secure, efficient handling of non-human identities. The work supports Okta’s broader mission to provide reliable identity solutions at scale.

Join Us as a Founding Engineer!At Brainbase, we're redefining the workforce landscape with AI Employees, akin to how Retool transformed internal tools.Imagine a world where AI collaborates seamlessly with human teams. Brainbase empowers businesses to develop their own AI workforce.In just one year, we've achieved $XM+ ARR and are on course to surpass $XXM+ soon. Our clientele spans from small and medium businesses to Fortune 50 corporations. We're proudly supported by Y Combinator, 500 Global, and other prestigious investors, including founders from YouTube and HubSpot, as well as notable YC alumni.About the RoleAs a pivotal member of our founding team, you'll play a crucial role in integrating AI into the enterprise landscape: launching innovative features, engaging with users, and fostering a vibrant company culture for future team members.You will collaborate closely with our CEO and founding team, focusing on enhancing our infrastructure (both cloud and on-premise) and refining our proprietary agent system based on user feedback.Who Should Apply?This position may be a perfect fit for you if:Resourceful: You excel in maximizing outcomes with limited resources, whether that be time, finances, or computing power.Resilient: You persist through challenges and only step back when you discover a more effective approach.Decisive: You make sound decisions under pressure, even with incomplete information, and swiftly move on to new challenges.Passionate about Problem-Solving: You thrive on tackling complex puzzles, games, or challenges, regardless of initial proficiency.Fun-Loving: You maintain positivity and uplift those around you, even during tough times.Key RequirementsAlongside the qualities outlined above, we seek candidates with the following qualifications: Essential SkillsLocation: Based in San Francisco or open to relocation.Work Authorization: Must have a valid US work permit (we do not sponsor H1-Bs; OPTs are acceptable).Minimum of 2 years of software engineering experience (recent graduates are encouraged to apply; personal projects are valued).Proficiency in Typescript and Python.Familiarity with Large Language Models (LLMs) such as OpenAI API, Langchain, or HuggingFace.