Senior Software Engineer, Platform

About Us:At Parafin, our mission is to empower small businesses to thrive in today's competitive landscape. We understand that small businesses form the backbone of our economy, yet they often face challenges in accessing essential financial resources. Our innovative technology streamlines access to vital financial tools directly on the platforms they already utilize for sales. Partnering with industry leaders such as DoorDash, Amazon, Worldpay, and Mindbody, we provide small businesses with fast, flexible funding, efficient spend management, and effective savings solutions through simple integrations. Parafin manages the complexities of capital markets, underwriting, servicing, compliance, and customer support to ensure seamless experiences for our partners and their small business clients.We are composed of a dynamic team of innovators with backgrounds from top firms like Stripe, Square, Plaid, Coinbase, Robinhood, and CERN, all driven by a passion for developing tools that facilitate small business success. Backed by esteemed venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin stands as a Series C company with over $194M raised in equity and $340M in debt facilities. Join us in shaping a future where every small business has access to the financial tools they need.About The PositionWe are on the lookout for a skilled Software Engineer to join our Infrastructure team and spearhead the advancement of our Machine Learning (ML) Platform. This pivotal role is essential for constructing reliable, scalable, and developer-centric systems for model experimentation, training, evaluation, inference, and retraining that drive underwriting and other ML-powered products for small businesses.As a Software Engineer, you will design, build, and maintain the core frameworks and platforms that empower data scientists to deploy high-quality models into production efficiently and safely. You'll work closely with Data Science and Platform Engineering, taking ownership of the ML platform from end-to-end, and develop both batch and real-time underwriting infrastructure.What You'll DoTransform notebooks into reliable software. Break down data scientist training and inference notebooks into reusable, well-tested components (libraries, pipelines, templates) with clear interfaces and documentation.Develop user-friendly ML abstractions. Create SDKs, CLIs, and templates that simplify the definition of features, model training and evaluation, and deployment to batch or real-time targets with minimal boilerplate.Construct our real-time ML inference platform. Establish and scale low-latency model serving capabilities.Enhance batch ML inference processes. Optimize scheduling, parallelism, cost controls, and observability to improve efficiencies.

At Sciforium, we are at the forefront of AI infrastructure, dedicated to the development of advanced multimodal AI models and an innovative serving platform that emphasizes high efficiency. With substantial funding and direct collaboration from AMD, our team is rapidly expanding to create the complete stack for pioneering AI models and dynamic real-time applications.Role OverviewThis position provides a distinct opportunity to engage with the fundamental systems that drive Sciforium's multimodal AI models. You will play a crucial role in constructing the model serving platform, working with C++, Python, runtime execution, and distributed infrastructure to design a swift, dependable engine for real-time AI applications.You will acquire practical experience in performance engineering, discover how large AI models are optimized and deployed at scale, and collaborate closely with ML researchers and seasoned systems engineers. If you thrive in low-level programming and are passionate about performance, this role offers both impactful contributions and significant growth opportunities.

Embrace the Future of Commerce with Whatnot!Whatnot stands as North America and Europe’s premier live shopping platform, dedicated to transforming the way you buy, sell, and discover your favorite items. We are on a mission to redefine e-commerce by seamlessly merging community engagement, shopping, and entertainment into a unique experience tailored just for you. As part of a remote, co-located team, we thrive on innovation while being firmly rooted in our core values. With operational hubs across the US, UK, Germany, Ireland, and Poland, we are collaboratively shaping the future of online marketplaces.Our live auctions span a diverse range of categories from fashion and beauty to electronics and collectibles, including trading cards, comic books, and even live plants. There’s truly something for everyone!And this is just the beginning! As one of the fastest-growing marketplaces, we are in search of bold, innovative problem solvers across all functional areas. Stay updated with the latest Whatnot news through our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses, fostering connections through commerce. Your RoleWe are seeking hands-on leaders—intellectually curious and technically proficient individuals ready to influence the future of AI and ML at Whatnot. In this pivotal role, you will spearhead the development and scaling of the foundational infrastructure that supports machine learning and self-hosted large language model applications across our organization. Collaborating closely with machine learning scientists, you will drive the implementation of innovative models powered by near-real-time features, enhancing product experiences. This entails building robust systems that ensure advanced ML is both reliable and efficient at scale—from low-latency deep learning model serving and streaming feature ingestion to distributed training and high-throughput GPU inference. As a managerial role, a strong technical foundation is essential, and potential candidates should be enthusiastic about diving deep into the details. You will elevate architectural discussions, provide insightful technical feedback, and dedicate at least one day a week to coding.Your Responsibilities:Lead the infrastructure supporting AI and ML models across critical business areas, enhancing growth, recommendations, trust and safety, fraud detection, seller tooling, and more.Oversee the prototyping, deployment, and productionization of innovative ML architectures, ensuring they align with our strategic objectives.

MidiHealth is seeking a Senior Software Engineer to join the Platform Engineering team. This hybrid role is based in the SF Bay Area and centers on building and enhancing the software that drives MidiHealth’s healthcare technology platform. The work contributes directly to improving patient outcomes through technology. Key responsibilities Design and develop software solutions for the core platform Collaborate with engineering, product, and cross-functional teams to deliver integrated features Support the reliability and scalability of the platform Location This position requires regular on-site work in the SF Bay Area as part of a hybrid schedule.

Aura is seeking a talented and experienced Senior Software Engineer, Platform to join our innovative team. In this role, you will be responsible for designing and implementing scalable software solutions that enhance our platform capabilities. You will work closely with cross-functional teams to ensure the delivery of high-quality software that meets the needs of our users.

Join our innovative team at Unify as a Senior Software Engineer, Platform, where you will play a crucial role in enhancing our platform capabilities. You will collaborate with cross-functional teams to design, develop, and implement high-quality software solutions that meet our clients' needs.

About SentryAt Sentry, we believe that poor software should no longer be the norm. Our mission is to empower developers to create high-quality software more efficiently, allowing them to reconnect with the joy of technology.With over $217 million in funding and a trusted community of more than 100,000 organizations—including industry leaders like Disney, Microsoft, and Atlassian—we are pioneering performance and error monitoring tools that enable teams to devote less time to bug fixing and more time to product development.Embracing a hybrid work culture, we prioritize collaboration by designating Mondays, Tuesdays, and Thursdays as in-office days. If you are passionate about building impactful tools that enhance the digital experience, we invite you to join us in shaping the future of software monitoring.About the RoleAs we scale for the future, a robust platform is critical to our success. The Platform organization at Sentry oversees the essential components that drive our services—from cloud infrastructure and streaming systems to storage, deployment, and security. We are responsible for the foundational services that empower every product and engineering team at Sentry to innovate swiftly and with assurance.We are on the lookout for a dedicated and forward-thinking Senior Staff Software Engineer to spearhead this evolution. In this pivotal role, you will report directly to the VP of Engineering and collaborate with various teams across the organization to influence the trajectory of Sentry’s platform.Your ResponsibilitiesDesign and architect the future of Sentry by converting business objectives and product strategies into clear, scalable technical blueprints.Collaborate with product and engineering leaders to align technical roadmaps with the company’s strategic goals.Lead cross-functional initiatives within the Platform organization—taking ownership from inception to delivery and driving impactful results.Foster engineering excellence by mentoring platform engineers, disseminating best practices, and establishing high standards for system design, scalability, and operational quality.Evaluate significant architectural proposals to ensure consistency, maintainability, and long-term technical health across the organization.What Makes This Role ExcitingYou enjoy designing and creating platforms that empower teams to operate more swiftly and securely.You thrive on tackling complex, multi-layered challenges across product, infrastructure, and organizational structures.You have a passion for engineering that fosters collaboration and innovation.

At Plaid, we envision a future where financial interactions are seamless and empowering. Our mission is to facilitate this transformation by developing innovative tools and experiences that empower thousands of developers to build their own financial products. With Plaid, millions of individuals can manage their finances effectively, leveraging our connections to a vast network of companies, including Venmo, SoFi, and numerous Fortune 500 firms, as well as major banks. Covering over 12,000 financial institutions across the US, Canada, UK, and Europe, Plaid has established itself as a leader in financial technology since its inception in 2013. Headquartered in San Francisco, we also have offices in New York, Washington D.C., London, and Amsterdam.Join our Network Enablement team, where our mission is to enhance Plaid’s network effects by building trust and sharing valuable insights with our data partners.We are responsible for creating cutting-edge solutions including Trust & Fraud Insights, Bank Intelligence, and foundational ML/data infrastructure. Our work encompasses real-time Protect model scoring, two-way APIs/webhooks, investigation tools, ML-driven retention metrics, and scalable batch processing.As a Senior Software Engineer in this role, you will spearhead the design and operation of the ML infrastructure and product services that underpin trust and intelligence throughout Plaid’s network. Your responsibilities will include feature engineering, offline training, batch scoring, online feature serving, and real-time inference, ensuring that model outputs effectively drive partner-facing fraud and trust products as well as bank intelligence features. You will also integrate inference into product logic, establish reproducible pipelines, and implement CI/CD for models while maintaining observability, compliance, and reproducibility as we expand our network capabilities. Collaborating closely with Product, ML/Data Platform, Fraud, Foundational Modeling, MLE, DS, and Privacy teams, you will deliver reliable, auditable ML solutions that positively impact our product KPIs.

Join our innovative team at Discord as a Senior Software Engineer focused on our Financial Platform. In this pivotal role, you will design, develop, and enhance our financial systems, ensuring they are robust, scalable, and efficient. You will work closely with cross-functional teams to implement cutting-edge solutions that empower our users to manage their financial interactions seamlessly.

Join our team as a Senior Software Engineer focused on our Data Platform at Gusto. In this role, you will leverage your expertise in designing and building scalable data systems that drive business decisions and enhance our platform's capabilities. Your contributions will directly impact our ability to deliver exceptional services to our customers.You will collaborate with cross-functional teams, ensuring that our data architecture is robust, efficient, and aligned with our business goals. If you are passionate about data engineering and are looking for a place to innovate and grow, we want to hear from you!

Role Overview Ambience Healthcare is looking for a Senior Software Engineer, Platform, based in San Francisco. This position focuses on building and improving the core platform that supports our products. The work shapes both patient care and the company’s operational standards. What You Will Do Design, build, and refine platform features to support company goals Work closely with teams across engineering, product, and other functions Contribute to architectural planning and technical decision-making Deliver reliable, maintainable software that meets high quality standards Impact The software developed in this role supports clinicians and staff, helping to improve patient outcomes and streamline healthcare operations.

About Ditto Ditto builds technology that keeps data moving reliably at the edge, even when networks are unreliable or disconnected. Developers use Ditto’s peer-to-peer synchronization engine to power real-time applications in places like stadiums, airplanes, and remote military bases. The platform ensures continuous connectivity and data integrity without needing an internet connection. With over $145 million in funding, Ditto supports organizations such as Chick-fil-A, Delta Airlines, and the U.S. military. The company’s software is used in aviation, retail, travel, hospitality, and defense for mission-critical operations. Ditto is a growing startup that values diversity and inclusion, bringing together many perspectives to solve tough connectivity challenges. Role Overview: Senior Software Engineer, Platform FDE This Senior Forward Deployed Engineer (FDE) position sits at the intersection of engineering and customer success. FDEs work directly with key users, helping them integrate Ditto’s software into their operational environments and accelerating the time-to-value for their teams. In this role, expect to observe how Ditto’s technology performs in the field, relay technical feedback and feature needs to the core product team, and address complex problems as they arise. The work often involves ambiguity and high-pressure situations, so adaptability and creative problem-solving are essential. Key Responsibilities Implement the Core Aggregation Node: Lead the architecture, deployment, and configuration of Ditto’s central data hub within SOCOM’s secure, distributed cloud infrastructure. Architect and Manage GovCloud Infrastructure: Set up, secure, and maintain production workloads on AWS GovCloud at high impact levels, meeting strict security and accreditation requirements. Deploy and Maintain Container Orchestration: Manage the lifecycle of Kubernetes clusters (including RKE2/K3s) in both cloud and on-premise settings. Responsibilities include upgrades, scaling, monitoring, and incident response. Engineer Secure Cross-Domain Data Flows: Design and troubleshoot data synchronization pipelines that use Cross Domain Solutions (CDS) and data diodes, ensuring secure, policy-compliant, unidirectional data transfer between classification levels.

About the RoleAt Descript, we are revolutionizing the way audio and video content is created and edited, ensuring that the process is swift, user-friendly, and accessible to everyone. Our innovative media editor leverages real-time collaboration, exceptional user experience, and advanced AI technology. This is the future of media!The Builder Experience (BIX) team is a pivotal part of Descript's platform, laying the groundwork for every product engineer. We manage the design system, essential UI frameworks, client performance, state management patterns, continuous integration, as well as the libraries and tools that maintain our codebase's health and enhance engineer productivity. If it involves the client shell, rendering pipeline, or cross-cutting frontend infrastructure, it's within our domain.We are seeking a passionate engineer, proficient in modern React, who thrives in frontend platform development and is motivated by the goal of enhancing the efficiency of our entire engineering organization. You will engage in hands-on systems work—such as performance tuning, dependency management, and the evolution of our design system—while also adopting a coaching and enablement approach to assist product teams in implementing improvements and elevating their skills.

About Us:At Scribd Inc. (pronounced “scribbed”), we are driven by a mission to ignite human curiosity. Join our dynamic team as we craft a universe filled with stories and knowledge, democratizing the flow of ideas and information while empowering collective expertise through our innovative products: Everand, Scribd, Slideshare, and Fable.This job posting announces an open and approved position within our organization.We foster a culture where our employees are encouraged to be authentic and bold; where we engage in constructive debate and commit to decisions as we navigate the twists and turns of our journey together. Every team member is empowered to take initiative, placing customer needs at the forefront of our priorities.We believe in a workplace that balances individual flexibility with community connectivity. Through our flexible work benefit, Scribd Flex, employees can collaborate with their managers to determine the work style that best meets their personal needs. A fundamental aspect of Scribd Flex is our commitment to intentional in-person moments that enhance collaboration, culture, and connection. Therefore, occasional in-person attendance is required for all Scribd Inc. employees, regardless of their location.What do we seek in our new team members? We hire for “GRIT,” which embodies the intersection of passion and perseverance towards long-term objectives. At Scribd Inc., we are inspired by the potential this approach unlocks and encourage each employee to adopt a GRIT-ty mindset in their work. In practical terms, GRIT stands for the ability to set and achieve Goals, deliver Results within their role, contribute Innovative ideas and solutions, and positively impact the broader Team through collaboration and attitude.About the Web Platform TeamOur Web Platform team is responsible for developing the shared foundations that empower Scribd’s product teams to deliver exceptional web experiences efficiently. We concentrate on creating scalable frontend architecture, shared libraries and tools, and robust patterns that enhance velocity, reliability, and maintainability across our web ecosystem.A significant focus for our team is Web Modernization: transitioning legacy SPAs to a Next.js-powered Microfrontend architecture, facilitating quicker iterations, safer scaling, and long-term confidence in Scribd’s web product evolution.

Join our dynamic team at Parafin as a Senior Software Engineer focusing on our innovative Merchant Platform. You will play a critical role in designing and building robust solutions that empower merchants to optimize their operations. Your expertise will be instrumental in enhancing the user experience and ensuring the scalability of our platform.In this position, you will collaborate closely with product managers, designers, and other engineers to deliver high-quality software solutions. If you are passionate about technology and eager to make a significant impact, we want to hear from you!

About the RoleHinge Health is a leading digital health company dedicated to delivering innovative, evidence-based solutions for musculoskeletal (MSK) pain management. Our unique approach combines personalized exercise therapy with virtual care, empowering individuals to effectively manage chronic pain and enhance their quality of life, all while reducing healthcare costs. By partnering with employers and health plans, we aim to scale our solutions and improve overall employee health and productivity.Join our dynamic AI platform team at Hinge Health, where we are at the forefront of revolutionizing how businesses harness the power of Artificial Intelligence. We are searching for a Senior Software Engineer with a robust background in software engineering and a passion for AI to contribute to our mission.As a Senior Software Engineer, you will play a crucial role in developing and maintaining vital components of our AI infrastructure. You will collaborate closely with engineers and data scientists to ensure the platform effectively supports the intricate needs of AI models and machine learning workflows.Our team thrives in a continuous deployment DevOps culture, taking pride in maintaining high standards of code in production. Our production systems leverage technologies such as React Native, React, Node.js, TypeScript, Python, Nestjs, GraphQL, Docker, AWS, Postgres, Redis, Apollo, and Redux. We follow a trunk-based CI/CD workflow and uphold the highest security and compliance standards, including HIPAA, HITRUST, SOC 2, and CCPA.What You'll AccomplishCollaborate with the AI/ML team to effectively integrate models and agents into the platform, ensuring seamless deployment.Write clean, maintainable code with a focus on performance, reliability, and scalability.Develop and sustain APIs and microservices that facilitate AI model and agent deployment and data processing.Troubleshoot and resolve platform performance, integration, and reliability issues.Work alongside cross-functional teams to gather technical requirements and deliver efficient solutions.Contribute to ongoing improvements in the AI platform’s systems and workflows, providing ideas and feedback during architectural discussions.Hinge Health Hybrid ModelWe recognize that both remote and in-person work offer unique benefits, and we aim to capitalize on the strengths of both approaches. Employees in hybrid roles enjoy the flexibility of working from home while also engaging in person as needed.

About SentryAt Sentry, we are determined to eradicate bad software. Our mission is to empower developers to create superior software more efficiently, allowing us all to enjoy technology again.With over $217 million in funding and a community of more than 100,000 organizations, including industry leaders like Disney, Microsoft, and Atlassian, we are crafting performance and error monitoring tools that enable teams to focus on building innovative products rather than squashing bugs.Embracing a hybrid work model, Sentry encourages collaboration by designating Mondays, Tuesdays, and Thursdays as in-office days across our global hubs. If you're passionate about creating tools that enhance the digital experience, we invite you to join us in building the future of software monitoring.About the RoleAs a member of our Event Analytics Platform (EAP) team, you will be at the forefront of developing the infrastructure that supports Sentry’s capabilities to handle time-series data and search functionalities across billions of events with remarkable speed. This initiative includes our innovative Snuba system, which acts as the primary storage and query service fueled by ClickHouse.In this role, you will expand the data visibility at Sentry by enhancing our search infrastructure, developing new capabilities atop our advanced storage solutions, and boosting the performance and integrity of our core data services. You will play a key role in shaping the technical vision of our Infrastructure team and collaborate closely with Product and Engineering teams to transform that vision into reality.If you are eager to tackle the complexities of scaling event data into the petabyte range, this opportunity is ideal for you.Key Responsibilities:Enhance EAP's capabilities to deliver data with exceptional speed and reliability.Design and automate systems and services to ensure reliable scaling amidst rising demand.Evaluate architectural decisions that harmonize product goals with engineering limitations.Promote and uphold high code quality standards through regular code reviews and contributions to design discussions.Lead the development of innovative data solutions to enhance user insights.

Founded in 2007, Airbnb has transformed travel by connecting hosts and guests in over 190 countries. With a community of more than 5 million hosts, we facilitate unique stays and experiences, enabling guests to immerse themselves in local cultures.Join Our Trust-Focused Community:At Airbnb, trust is our top priority, and our dedicated team works tirelessly to ensure a safe and secure platform. As part of the Trust team, you will play a crucial role in safeguarding our community from fraud and ensuring the quality of our hosts, guests, and listings. This involves combating both online threats like account compromise and offline risks such as property damage and personal safety. Your work will help us build and maintain trust within our vibrant community.Make a Significant Impact:In your role within the Trust Engineering team, you will design and implement large-scale systems aimed at detecting and mitigating fraudulent activities across our platform. Collaborating closely with product, data science, and operations teams, you will develop real-time risk detection services that adapt to evolving threats, helping to make Airbnb the safest and most trusted platform in the industry.Your Daily Responsibilities:Design and operate resilient, scalable distributed systems.Enhance platform capabilities to counteract the evolving fraud landscape, collaborating with various engineering teams.Contribute vital insights to the Trust Platform's roadmap and strategic initiatives.

OverviewPluralis Research is at the forefront of Protocol Learning, innovating a decentralized approach to train and deploy AI models that democratizes access beyond just well-funded corporations. By aggregating computational resources from diverse participants, we incentivize collaboration while safeguarding against centralized control of model weights, paving the way for a truly open and cooperative environment for advanced AI.We are seeking a talented Machine Learning Training Platform Engineer to design, develop, and scale the core infrastructure that powers our decentralized ML training platform. In this role, you will have ownership over essential systems including infrastructure orchestration, distributed computing, and service integration, facilitating ongoing experimentation and large-scale model training.ResponsibilitiesMulti-Cloud Infrastructure: Create resource management systems that provision and orchestrate computing resources across AWS, GCP, and Azure using infrastructure-as-code tools like Pulumi or Terraform. Manage dynamic scaling, state synchronization, and concurrent operations across hundreds of diverse nodes.Distributed Training Systems: Design fault-tolerant infrastructure for distributed machine learning, including GPU clusters, NVIDIA runtime, S3 checkpointing, large dataset management and streaming, health monitoring, and resilient retry strategies.Real-World Networking: Develop systems that simulate and manage real-world network conditions—such as bandwidth shaping, latency injection, and packet loss—while accommodating dynamic node churn and ensuring efficient data flow across workers with varying connectivity, as our training occurs on consumer nodes and non-co-located infrastructure.