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Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role We’re looking for builders–intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML at Whatnot. You’ll design and scale the core infrastructure that powers large language model applications across the company, working side by side with machine learning scientists to bring cutting-edge models into production and unlock entirely new product experiences. This means building systems that make AI dependable and fast at scale–from building retrieval systems to more effectively ground LLM responses in Whatnot’s business context to developing scalable LLM evaluation frameworks and human-in-the-loop feedback mechanisms. What you'll do: * Own the infrastructure powering LLMs across critical business surfaces– supporting growth, recommendations, trust and safety, fraud, seller tooling, and more. * Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration, and prevent regression via CI/CD. * Deploy RAG systems and MCP servers to more effectively ground LLM responses in Whatnot’s business context while enforcing rigorous PII controls. * Design efficient human-in-the-loop feedback pipelines that can be used to inform scalable LLM evaluation * Bridge the gap between research and production, helping to transform experimental ideas into scalable solutions * Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next AI/ML Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience. * 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads. * 1+ years of professional experience developing software in Python * Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams. * Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana. * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink. * Professionalism around collaborating in a remote working environment and well tested, reproducible work. * Exceptional documentation and communication skills. 💰Compensation For US-based applicants: $245,000 - $345,000/year + benefits + stock options The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options. 🎁 Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $245K - $345K

Job DescriptionWanna join the adventure? As a Space Infrastructure Software Engineer, you are responsible for scaling our ability to operate a heterogeneous fleet of satellites--spanning dedicated, rideshare, and constellation missions. You will work at the intersection of automated satellite operations, ground and flight software, and solving on-orbit problems. The team is responsible for ensuring the reliable, efficient, and standardized operation of Loft’s space infrastructure. Within the operational fleet of Loft satellites, the team is responsible for the stability of the satellite bus, the Hub, and Loft-owned payloads as a platform to execute customer missions. Loft’s business and its customer’s businesses are built on the reliability of its space infrastructure. This team’s work is foundational for that model, and gives you a wide latitude to work on different systems, ranging from code that interacts with and uses Cockpit, our mission control system, to code that executes onboard our satellites. It will also give you the opportunity to become a Flight Director, responsible for the health and safety of our fleet.About the Role: • Develop and maintain the software systems that autonomously operate our satellites, improving the reliability and scalability of our space infrastructure., • Build tools, systems, and software libraries to enable other teams to integrate and operate effectively on Loft’s satellite platform., • Scale our satellite operations software to support an increasingly heterogeneous and growing fleet., • Partner with software product teams to drive continuous improvements based on operational and integration feedback., • Contribute to and maintain SatDevOps Academy, our internal training program for company-wide satellite operations readiness., • Serve as a rotating Flight Director, overseeing incident response and ensuring the health and safety of the fleet.Must Haves:, • 4+ years of professional software engineering experience, with solid skills in automation., • Ability to work across the full software and hardware stack—including ground-based automation, space-based automation, and the interfaces that connect them., • Proficiency in Python, container technologies (Docker, Kubernetes), CI/CD pipelines, unit/integration testing, Linux, and Git., • Willingness and enthusiasm to be trained as a satellite controller and Flight Director (including participation in the on-call rotation)., • Pragmatic mindset: able to balance long-term reliability with short- and medium-term solutions., • Accountability and autonomy; comfortable taking ownership and delivering results., • Openness to learning, working outside your comfort zone, and tackling unfamiliar challenges.Nice to Haves:, • Familiarity or experience with Argo, Grafana, Loki, Lua, test engineering, or reliability engineering., • Hands-on experience as a satellite operator.Some of Our Awesome Benefits:, • 100% company-paid medical, dental, and vision insurance option for employees and dependents, • Flexible Spending (FSA) and Health Savings (HSA) Accounts offered with an employer contribution to the HSA, • 100% employer paid Life, AD&D, Short-Term, and Long-Term Disability insurance, • Flexible Time Off policy for vacation and sick leave, and 12 paid holidays, • 401(k) plan and equity options, • Daily catered lunches and snacks in office, • International exposure to our team in France, • Fully paid parental leave; 14 weeks for birthing parent and 10 weeks for non-birthing parent, • Carrot Fertility provides comprehensive, inclusive fertility healthcare and family-forming benefits with financial support, • Off-sites and many social events and celebrations

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role We’re looking for builders–intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML at Whatnot. You’ll design and scale the core infrastructure that powers machine learning and self-hosted large language model applications across the company, working side by side with machine learning scientists to bring cutting-edge models into production and unlock entirely new product experiences. This means building systems that make advanced ML dependable and fast at scale–from low-latency, large model serving to distributed training & high-throughput GPU inference. What you'll do: * Own the infrastructure powering AI and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more. * Prototype, deploy, and productionalize novel ML architectures that directly shape user experience and marketplace dynamics. * Design and scale inference infrastructure capable of serving large models with low latency and high throughput. * Build distributed training and inference pipelines leveraging GPUs and both model and data parallelism. * Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next AI/ML Platform Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience. * 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads. * 1+ years of professional experience developing software in Python * Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams. * Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana. * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink. * Professionalism around collaborating in a remote working environment and well tested, reproducible work. * Exceptional documentation and communication skills. 💰Compensation For US-based applicants: $245,000 - $345,000/year + benefits + stock options The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options. 🎁 Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $245K - $345K

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role DescriptionWe’re seeking a Senior Software Engineers to design and build the APIs that deliver data and real time events to Gridware’s customers. You’ll create critical interfaces that allow utilities to access our insights and take action on hazards to the electric grid. You’ll work hands-on with both customer engineering teams and Gridware’s internal teams to scope, deploy, and operationalize API integrations. This includes our core Gridware API, upcoming partnerships, and new data products under development. This is a high-ownership, high-impact role essential to making our platform’s capabilities accessible and actionable for the people who need them the most, and protecting critical infrastructure at scale. Responsibilities • Design and build robust APIs that expose real timeevents, health metrics and analytics to our customers., • Collaborate directly with utility customers and integration partners to understand their data needs and workflows., • Implement rate limiting, data access controls, and authentication systems., • Create comprehensive documentation that helps customers integrate quickly and successfully., • Champion engineering best practices around testing, API performance, observability, and continuous deployment to ensure reliability at scale., • Mentor and support the development of other engineers. Required Skills, • 5+ years of software development experience, with a strong focus on building APIs and distributed systems., • A strong understanding of API design principles, event driven frameworks and best practices for API security, versioning, and documentation., • Proficiency in Python and PostgreSQL (or equivalent modern stack)., • Excellent communicator and relationship builder; comfortable explaining technical details to both engineers and utility stakeholders., • Comfortable taking broad ownership in a fast-paced, high-autonomy environment., • Passion for building products that combine software, sensors, and the physical world. Bonus Skills, • Familiarity with observability tools such as OpenTelemetry, Grafana, or Mimir., • Background working in hardware–software ecosystems or IoT systems.

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role DescriptionWe’re looking for a Senior Software Engineer to lead the development of systems that manage our growing fleet of devices - the foundation of Gridware’s distributed sensing network. The technology you build will empower Fleet Health operators to monitor device performance, issue firmware updates, and ensure our sensors operate reliably and securely at scale.You’ll work across backend services, internal tools, and observability systems - designing the infrastructure that keeps thousands of edge devices connected and healthy. This is a hands-on, high-ownership role at the intersection of software, hardware, and operations - perfect for engineers who thrive on building platforms that directly enable real-world impact.Responsibilities • Design and build systems for device management, fleet monitoring, and firmware deployment., • Develop backend and internal tooling to support large-scale operational workflows., • Collaborate closely with firmware, hardware, and operations teams to ensure seamless integration and real-time observability., • Implement metrics, dashboards, and alerting pipelines to improve visibility into fleet health and reliability., • Scale systems to support exponential device growth while maintaining performance and security.Required Skills, • 5+ years of professional software engineering experience at product-driven companies, • Ability to thrive in a low structure, high-autonomy environment with competing priorities, • You’ve built something from the ground up with broad ownership, • Experience with Python, React, Typescript, PostgreSQLBonus Skills, • Experience building human-in-the-loop or operationally complex tooling, • Experience with observability tooling such as OpenTelemetry, Grafana, and Mimir

Job Description Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We're the creators and primary maintainers of Crossplane, and we're building the Intelligent Control Plane—a new platform layer that makes infrastructure programmable, autonomous, and composable. Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale—so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence. Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We're a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we've raised $69M to date. Learn more at upbound.io Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations. What You'll Do • Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane., • Take ownership of building features in high demand by Upbound's customers and deliver new functionality that will delight and amaze our users., • Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks., • Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements., • Support the full project lifecycle for highly scalable and reliable services running in a cloud environment – discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support., • Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence., • Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly., • Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response., • Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release., • Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments., • Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution.What You'll Bring, • Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability., • Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments., • Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance., • Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments., • Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads., • Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build., • Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features., • Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges., • Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers. #LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit .

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About This Role: As a Senior Software Engineer on our storage team, you'll be joining our core engineering team to design, build, and optimize our next-generation cloud storage products. We're looking for a hands-on engineer with deep expertise in building storage systems. You will be responsible for building highly performant, reliable, and scalable distributed storage systems that are critical to our infrastructure and our customers' AI/HPC workloads. What You’ll Be Working On: * Building Our Multi-Petabyte Cloud Storage Platform * Building core components of our foundational storage products, purpose built for high performance AI and ML workloads * Contributing to distributed file, block and object storage products, with a focus on filesystem based solutions * System Design & Architecture * Design and implement high-performance, scalable, and resilient storage architectures that are highly extensible * Proposing and prototyping novel strategies to scale performance and system throughput for our most demanding customer workloads * Building observability, metrics and tooling for our services and fleet * High Velocity Problem Solving * Troubleshooting and resolving unique and complex distributed systems problems only seen at the scale we operate at * Provide ongoing support for production systems, and customer workloads including troubleshooting, performance tuning, and incident response * Cross-functional Collaboration * Foster strong collaboration with other engineering teams (e.g., Software Infrastructure, Product) and cross-functional departments * Single threaded ownership and representation of the storage team in business critical initiatives across the company You’ll Bring to the Team: * Hands-on proficiency in modern software development best practices, and practical experience in languages like Go, Java, C/C++, or Rust * Extensive experience developing multi-tenant, cloud scale distributed storage infrastructure software and systems * Experience contributing to at least one or more of the following storage products: File (e.g., NFS, SMB, Lustre), Object, or Block Storage (e.g., NVMe, iSCSI) * A strong background in high performance filesystem based products, VFS and linux filesystems (e.g., ext4, XFS, ZFS) * Proficiency working with Linux and its storage subsystems. * Knowledge of monitoring tools (Prometheus, Grafana), log analysis, distributed tracing and debugging Bonus Points: * Experience with AI/HPC storage solutions, such as Parallel Filesystems or petabyte+ scale Object Storage. * Familiarity with networking technologies like RDMA and Infiniband. * Familiarity with modern storage technologies (e.g GPU Direct Storage, F2FS, SPDK etc) * Prior experience with Nvidia SuperNIC DPUs for storage optimization * Prior experience in Storage Virtualization & Orchestration, volume placement strategies and distributed metadata management * Research publications or open-source contributions to storage-related projects. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We're the creators and primary maintainers of Crossplane, and we're building the Intelligent Control Plane—a new platform layer that makes infrastructure programmable, autonomous, and composable. Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale—so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence. Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We're a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we've raised $69M to date. Learn more at upbound.io. Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations. What You'll Do • Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane., • Take ownership of building features in high demand by Upbound's customers and deliver new functionality that will delight and amaze our users., • Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks., • Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements., • Support the full project lifecycle for highly scalable and reliable services running in a cloud environment – discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support., • Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence., • Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly., • Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response., • Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release., • Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments., • Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution.What You'll Bring, • Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability., • Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments., • Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance., • Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments., • Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads., • Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build., • Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features., • Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges., • Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers. #LI-REMOTE Why Upbound? At Upbound, you'll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you're excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes - based on Kubernetes and Crossplane - that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit .

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role DescriptionWe’re seeking a Staff Software Engineer who will serve as a technical force multiplier and elevate the entire software engineering organization through architectural excellence, mentorship, and establishing a culture of quality. You’ll design and build the core software systems that power Gridware’s platform, from backend services managing our distributed fleet of devices, to the front-end tools that visualize grid health, fleet diagnostics, and real-time events in the field. You’ll work across the stack to build and scale systems that connect hardware, firmware, and cloud infrastructure, enabling reliable communication, fleet visibility, and faster decision-making. This is a high-ownership, high-impact IC leadership role that gives you the opportunity to shape how our technology supports and protects critical infrastructure at scale. Responsibilities • Design and develop full-stack systems in collaboration with data science, operations and firmware teams to analyze power grid events worldwide in real time, and enable command and control of our fleet of thousands of distributed sensors., • Drive critical technical decisions on system design and own the technical vision for initiatives that will enable us to scale reliably and securely., • Establish and champion engineering standards that raise the bar on code quality, testing, observability, performance and operational excellence., • Identify and eliminate technical debt that impedes developer productivity or quality., • Mentor engineers at all levels, helping them grow as developers. Required Skills, • 8+ years of experience as a software engineer with production systems across frontend and backend., • Deep experience in designing and scaling distributed data-intensive systems, overcoming reliability and performance challenges., • Proficiency in Python, TypeScript, React, GraphQL, and PostgreSQL (or similar modern stack)., • Experience mentoring engineers and seeing them grow into senior technical roles., • Passion for building products that combine software, sensors, and the physical world. Bonus Skills, • Experience developing real-time or event-driven systems (MQTT, WebSockets, gRPC, etc.)., • Familiarity with observability tools such as OpenTelemetry, Grafana, or Mimir., • Background working in hardware–software ecosystems or IoT systems.

Job DescriptionAbout FinchWe are on a mission to revolutionize employment by building the infrastructure that powers every facet of work. To do this, we're looking for individuals who think about problems holistically and in-depth, who are relentlessly curious, self-starters, and determined to drive ideas from inception through to completion. Finch is a Series B company backed by a fantastic set of firms, angels, and our developers including General Catalyst, Menlo Ventures, Homebrew, BoxGroup, YCombinator, Charley (1st business hire at Plaid), Sima (ex-Head of Biz Dev at Plaid), Henrique + Pedro (co-CEOs at Brex), Jeff + Wayne (co-CEOs at Digits), Immad (CEO at Mercury), Sam (CEO at Vouch Insurance), Karim (CTO at Ramp), and more. About Our TeamWe're a team of problem solvers who aren’t afraid to challenge assumptions. We value velocity, curiosity, empathy, and diverse perspectives. Everyone on the team is excited about the scope of the problems we address and the potential impact our work can have on the global workforce. We realize that the value we provide comes with great responsibilities, and therefore make security and privacy our highest priorities. We come from a diverse set of backgrounds and each member brings different skills to the group. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and potential will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. About YouYou thrive in small teams with large scope and limited hand-holding. You're comfortable saying "not yet" to good ideas because you understand prioritization and opportunity cost. You get energy from unblocking other engineers and improving their day-to-day experience. You're equally comfortable writing and reviewing code and explaining technical trade-offs to non-technical stakeholders. You prefer high-impact infrastructure work over resume-driven development. You've mentored engineers before and genuinely enjoy helping others grow. About The RoleFinch's Platform team owns the infrastructure and developer experience that powers our engineering organization. We're a 4-person team with a high-impact backlog spanning infrastructure stability, developer tooling, architectural decomposition, and security. We need a senior engineer to help prioritize this work, lead critical projects, and support the team. You'll have significant autonomy and immediate impact. There is a mix of greenfield work and high-leverage infrastructure improvements that enable the entire company to move faster and more reliably.What You'll Do • Live by and champion our values: #empathy, #execution, #humility, #curiosity., • Lead critical infrastructure projects and drive architectural decisions that will span across multiple teams ranging from problem definition/scoping to execution and see it through to successful and smooth delivery of impactful solutions, • Establish platform engineering standards and partner with product teams on reliability, performance, and architecture, • Be hands on in various parts of the system like AWS infrastructure, CI/CD pipelines, internal tooling and application layer., • Communicate platform priorities and trade-offs to engineering leadership and help them with building a prioritized roadmap., • Mentor other engineers who need technical guidance.What You"ll Bring, • 7+ years of backend/infrastructure engineering, with 3+ years in platform/SRE/DevOps roles., • Experience managing large backlogs and making prioritization trade-offs., • Proven ability to stabilize unreliable systems (CI, infrastructure, observability)., • Mentorship experience—you'll guide engineers who need technical leadership., • Strong communication skills to advocate for platform needs and explain trade-offs., • Comfort with ambiguity and autonomy—you'll define what "good" looks like., • Ability to balance tech debt paydown with new feature delivery.Success Looks Like, • Experience working with NodeJS, PostgreSQL, and Redis, or similar, at scale, • Strong debugging skills across application, infrastructure, and networking, • Strong knowledge of testing best practices. TDD is a bonus., • CI/CD systems (GitHub Actions or equivalent), • Experience working AWS Services and infrastructure-as-code (Terraform strongly preferred), • Kubernetes (deployments, scaling, troubleshooting, security), • Experience using a distributed messaging system., • Observability tooling (Datadog, Prometheus, Grafana, etc.)What We Offer, • Competitive equity with a 10-year exercise window, • Full medical, dental, and vision coverage (100% for employees, 85% for dependents), • Unlimited PTO (with a 3-week minimum), • 401(k) plan, • Regular team offsites and meetups

Job DescriptionWhy Flux Flux is taking the hard out of hardware, by developing the first AI Hardware Engineer. Our goal is to democratize the ability to create bleeding edge hardware, and revolutionize how electronics are designed and built around the world. About the Role Flux is building the world’s first AI Hardware Engineer, and that means everything around it has to just work. As a Platform Engineer, you’ll work on the full-stack systems that power Flux’s platform experience beyond the editor: billing, authentication, onboarding, and integrations. You’ll ship production features that touch every user, keep the lights on, and make it possible for Flux to scale. Responsibilities * Build and maintain user-facing platform features (billing, auth, onboarding, settings). * Integrate and maintain third-party APIs (Stripe, Firebase, analytics). * Write TypeScript/Node backend services and React frontend components. * Improve reliability and performance of core platform flows. * Implement observability, logging, and error-tracking standards. * Collaborate across teams to design APIs that support new products and integrations. * Document architecture and best practices for your domain. Required Qualifications * 5+ years of professional software engineering experience. * Strong proficiency in TypeScript, Node.js, and React. * Experience integrating and maintaining 3rd party APIs. * Proven track record shipping production full-stack web apps. * Familiarity with cloud hosting (GCP/AWS/Firebase) and CI/CD basics. * Strong debugging and cross-system troubleshooting skills. * Excellent written and verbal communication; thrives in async, remote teams. Preferred Qualifications * Experience with multi-tenant SaaS or collaborative web platforms. * Familiarity with auth frameworks (OAuth, JWT, Firebase Auth). * Exposure to observability stacks (Sentry, Datadog, Grafana). * Prior experience building internal tools or admin dashboards. * Startup or 0 → 1 product-building experience. Profile Impact-oriented: You don't feel done until real people are getting real value from what you built. Ambiguity-native: You thrive in the undefined. Agentic development is full of half-mapped terrain, soft constraints, and ideas that shift under your feet. That energizes you. You constantly update your intuitions as you go, and are excited to discover new and better ways to attack challenges we're still finding words to describe. Collaborative: You share your thoughts early and often, and welcome debate and creative collaboration. Flux is a deeply collaborative company, and we believe that the best ideas can only win if they're said out loud. Convention-averse: Flux is an AI-first company. We constantly experiment with new workflows, tools, and ways of working together. You feel an urgency to reimagine how we create and collaborate in this rapidly changing world, and you value critical thinking far above established conventions. Ownership mentality: You are a self-starter, bias toward action, and care deeply about the team and community who lean on you and your work.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 Role We’re looking for builders–intellectually curious, highly entrepreneurial engineers eager to shape the future of AI and ML at Whatnot. You’ll design and scale the feature ingestion and storage infrastructure that powers critical business logic & machine learning applications across the company. You’ll work side by side with machine learning scientists to make the most of near-real-time signals and unlock entirely new product experiences. What you'll do: * Own the feature ingestion and storage infrastructure powering both core business logic and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more. * Push the boundaries of real-time decisioning, ensuring Whatnot’s ML models respond ever faster to constantly changing marketplace dynamics. * Design and evolve real-time feature pipelines that feed both our online and offline stores, ensuring sub-second latency, high reliability, and model training fidelity. * Optimize system performance by managing resource utilization and developing intelligent feature caching strategies. * Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features. * Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 👋 You People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it. As our next AI/ML Engineer you should have 4+ years of professional experience developing machine learning systems and algorithms, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience. * 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads. * 1+ years of professional experience developing software in Python * Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams. * Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis. * Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana. * Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink. * Professionalism around collaborating in a remote working environment and well tested, reproducible work. * Exceptional documentation and communication skills. 💰Compensation For US-based applicants: $245,000 - $345,000/year + benefits + stock options The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity in the form of stock options. 🎁 Benefits * Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $245K - $345K

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: We are looking for a highly skilled engineer with deep expertise in building and operating observability platforms at scale. You will design, develop, and run Crusoe’s next-generation observability stack, enabling engineers to understand the internal state of distributed systems through metrics, logs, and traces. Your work will ensure reliability, performance, and actionable insights across Crusoe’s global infrastructure and cloud platform. What You’ll Be Working On: * Designing and operating scalable observability systems (metrics, logging, tracing) across multi-datacenter Kubernetes environments * Architecting end-to-end telemetry pipelines, including ingestion, storage, querying, and visualization * Extending monitoring and alerting with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetry * Building scalable log collection and processing pipelines with Fluent Bit, Vector, Loki, or ELK/Opensearch stacks * Implementing distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrating with service meshes, load balancers, and APIs * Defining and driving adoption of SLOs, SLIs, and error budgets across services and teams * Automating provisioning and scaling of observability infrastructure with Kubernetes, Terraform, and custom tooling (Go, Python) * Ensuring reliability and cost efficiency of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure) * Embedding security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controls * Partnering with engineering teams to embed observability into applications, services, and infrastructure * Mentoring engineers and shaping Crusoe’s observability strategy and technical roadmap What You’ll Bring to the Team: * 7+ years of experience in infrastructure or platform engineering, with a focus on observability and monitoring systems * Deep expertise with metrics systems (Prometheus, Thanos, Mimir, Cortex), logging pipelines (Fluent Bit, Vector, Loki, ELK/Opensearch), and tracing platforms (Jaeger, Tempo, OpenTelemetry) * Strong programming skills in Go or Python for automation, operators, and custom integrations * Experience running observability platforms on Kubernetes and operating them at scale across multi-datacenter environments * Proven ability to design, optimize, and scale telemetry pipelines handling high cardinality and high throughput data * Solid understanding of distributed systems, performance engineering, and debugging complex workloads * Strong collaboration skills and the ability to influence engineering teams to adopt observability best practices Bonus Points: * Contributions to open source observability projects (Prometheus, OpenTelemetry, Grafana, Loki, etc.) * Experience supporting AI/ML or GPU-heavy environments with high observability demands * Knowledge of event-driven or streaming systems (Kafka, NATS, Pulsar) used in telemetry pipelines * Experience implementing cost optimization strategies for large-scale observability platforms * Background in incident response, chaos engineering, and reliability practices Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

What You'll Do** - Design realistic, multi-step Grafana workflows - dashboards, alerting rules, data source configuration, panel setup, cross-module operations - Perform each workflow yourself on a hosted Grafana instance to produce a reference trajectory - Write clear, specific task prompts wit

Manejar con la app de Uber es una alternativa a un trabajo de medio tiempo o tiempo completo y te permite generar ganancias en efectivo de forma rápida, independiente y a tu propio ritmo.Podés hacerlo por un tiempo, a medio tiempo, a tiempo completo, durante una temporada, por horas o para complem

Manejar con la app de Uber es una alternativa a un trabajo de medio tiempo o tiempo completo y te permite generar ganancias en efectivo de forma rápida, independiente y a tu propio ritmo.Podés hacerlo por un tiempo, a medio tiempo, a tiempo completo, durante una temporada, por horas o para complem

Manejar con la app de Uber es una alternativa a un trabajo de medio tiempo o tiempo completo y te permite generar ganancias en efectivo de forma rápida, independiente y a tu propio ritmo.Podés hacerlo por un tiempo, a medio tiempo, a tiempo completo, durante una temporada, por horas o para complem

Manejar con la app de Uber es una alternativa a un trabajo de medio tiempo o tiempo completo y te permite generar ganancias en efectivo de forma rápida, independiente y a tu propio ritmo.Podés hacerlo por un tiempo, a medio tiempo, a tiempo completo, durante una temporada, por horas o para complem

Manejar con la app de Uber es una alternativa a un trabajo de medio tiempo o tiempo completo y te permite generar ganancias en efectivo de forma rápida, independiente y a tu propio ritmo.Podés hacerlo por un tiempo, a medio tiempo, a tiempo completo, durante una temporada, por horas o para complem

Manejar con la app de Uber es una alternativa a un trabajo de medio tiempo o tiempo completo y te permite generar ganancias en efectivo de forma rápida, independiente y a tu propio ritmo.Podés hacerlo por un tiempo, a medio tiempo, a tiempo completo, durante una temporada, por horas o para complem