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Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for a Senior Developer Advocate. In this role, you will be responsible to: * Create sample projects, tutorials, videos, blog posts, and livestreams that demonstrate Workato's developer capabilities. * Inspire developers with interesting, relevant, and fun content that speaks to them and draws them in to the Workato ecosystem. * Speak at first party events, third party events, and developer meetups. Host workshops in the community and with internal customer communities. * Develop and share a strong clear voice that the community trusts. * Collect developer feedback and advocate for it internally. * Build compelling examples that influence Workato product and engineering direction. * Contribute code and docs to open‑source repos. RequirementsQualifications / Experience / Technical Skills * 5+ years as a software engineer or developer advocate. * Proficient in Python or TypeScript and familiar with LangChain‑style frameworks. * Strong demo and content‑creation skills including code samples, videos, and technical tutorials Soft Skills / Personal Characteristics * Passionate teacher who loves helping others succeed. * Clear communicator comfortable on stage or camera. * Collaborative, low‑ego attitude. (REQ ID: 2140)

Job DescriptionJoin us at Cleric We're building an autonomous, self-learning AI SRE - an agent that supercharges engineering teams to investigate production incidents 10X faster than they could manually. It reads logs, correlates metrics, reasons through hypotheses, and tells you what's actually wrong. It's in production at high-scale companies, hitting 78%+ accuracy on real production issues. Our users love it. Now we want to cement Cleric as the first responder engineers rely on when things go wrong. About the role Define what an AI SRE should be. AI SRE is the next hard challenge after coding agents. There's no playbook. Examples of questions we'd like you to own: * When AI handles the reasoning, how do engineers stay sharp for cases it can't? * How do you build trust when someone needs to verify agent conclusions at 2AM? You'll help answer these by talking to engineers, running product experiments, and shaping how Cleric approaches problems. This is a Staff-level role. You'll work directly with the founders to set product direction. You'll have real technical autonomy: architectural decisions, system design, and the latitude to fix things you think are broken. What you'll do * Build the systems that power investigations: data flows, integration points, how agent reasoning surfaces to engineers * Work directly with engineers: calls, war rooms, watching them debug live systems - and turn that into product direction * Define what "good" looks like for investigations. Identify gaps. Work with AI engineers to close them. * Run experiments: try new ways of surfacing results, measure engineer trust, double down or delete based on signal * Make technical calls across the stack (Python, integrations, frontend when needed) with the ownership to see them through * Set engineering standards that let us ship fast and maintain quality You are * An engineer who's owned products end-to-end - not built to spec, but decided what to build. You can point to specific features and explain why they worked. * Familiar with production pain: you've carried a pager, triaged incidents, felt the 2AM stress * Someone with strong product instincts who turns fuzzy problems into concrete solutions * Technically capable across the stack - backend, integrations, frontend when needed * A driver, not a passenger. You fix problems when you see them, not when you're asked. Nice to have * Developer tools, observability, or infrastructure background * Experience with AI/ML products, especially evaluation and improvement loops * Startup experience The team You'll work directly with Cleric's founders on product and technical direction. We're small enough that you can directly influence what we ship from day one. How we work * Small team, full ownership * Direct feedback, no politics * In-person in SF * AI-native: we build with AI constantly Interview process * Intro call – Background, technical screen, questions on the role * Build session (1 hr) - Pair programming with another Cleric engineer * System design (90 min) - Work through a real production problem we have * Product deep-dive (60 min) - Talk through a real scenario, real tradeoffs * Team lunch/coffee - Hard questions, both directions Compensation Range: $200K - $240K

Job Description Our Story and Purpose Linden Lab develops platforms that empower people to create, connect, and thrive through transformative virtual experiences. Since our founding in 1999, we've been at the forefront of the creator economy, building platforms that inspire limitless imagination and innovation. In 2003, we revolutionized the virtual world with the launch of Second Life—a vibrant, user-driven community where creativity knows no bounds. With nearly two billion user creations and a flourishing $650 million economy, Second Life continues to be a global hub for collaboration, self-expression, and entrepreneurship. We believe our strength lies in diversity—of perspectives, experiences, and ideas. Our values are rooted in organizational health, strengths-based leadership, and the belief that collaborative teams are stronger than individuals. At Linden Lab, you'll be at the cutting edge of virtual worlds, shaping the future of immersive experiences. Whether you're building innovative tools or fostering a welcoming community, you'll find a place to belong, thrive, and be unapologetically yourself. We invite you to come as you are. Your Mission This role will follow a hybrid schedule, requiring in-office presence at our San Francisco office from Monday to Thursday, with an occasional additional day on-site as needed. We're looking for a Senior Software Engineer with experience integrating payment providers to own, maintain, and continuously modernize our payments and billing infrastructure. A self-motivated engineer with strong judgment on when to dig deep and when to make smart, pragmatic tradeoffs. Someone who enjoys making sense of complex systems and bringing clarity to ambiguity who elevates those around them and actively contributes to a culture of great developer experience. This is an independent contributor role, reporting to the Manager, Engineering. In this role, you will work closely with internal stakeholders including product, finance, and compliance to ensure reliable, compliant money movement. You will write and maintain automated tests to ensure high reliability in a regulated environment while mentoring and supporting teammates through code reviews, documentation, and technical leadership. How You'll Grow With Us At the Lab, you'll experience the best of both worlds: the stability of an established company with over 20 years of expertise and the dynamic momentum of a startup driven by continuous progress. You'll have the unparalleled opportunity to forge meaningful relationships, design impactful systems, and craft strategies that shape the future of virtual experiences. Our vibrant in-office environment in San Francisco is designed to foster creativity, collaboration, and ingenuity. With spaces purpose-built for brainstorming, team building, and spontaneous conversations, you'll find endless opportunities to engage and grow. We believe in the power of in-person connections to cultivate a strong sense of community and inclusion, ensuring that your ideas are valued, your contributions celebrated, and your impact deeply felt every day. The Impact You'll Drive • Contribute to and guide migration efforts for legacy codebases toward more sustainable, testable architecture using modern tools (FastAPI, Django, etc.)., • Participate in on-call rotation for critical payments infrastructure., • Collaborate with cross-functional teams to scope and implement projects that affect the broader platform., • Contribute to CI/CD and devtools improvements that enhance developer experience. How You'll Shape Our Future At Linden, we celebrate all the dimensions of diversity, including diversity of experience. We recognize that candidates applying for this role will be most successful if they bring the following with them: • 5+ years backend software engineering experience, with strong Python skills and proficiency in SQL., • Experience building and maintaining APIs, especially for server-side systems., • Experience in payments, billing, or real money movement—ideally with providers like PayPal, Stripe, or similar., • Comfortable working in, refactoring, and maintaining legacy codebases (e.g. PHP, Perl)., • Strong grasp of cloud infrastructure (AWS preferred) and infrastructure as code (CloudFormation or equivalent)., • Familiarity with automated testing, CI/CD pipelines, and modern engineering practices., • Strong written and verbal communication skills across hybrid teams., • High sense of ownership and ability to independently drive projects. If you don't meet every requirement listed for this role, we still encourage you to apply. Too often, the confidence gap or imposter syndrome keeps exceptional candidates from taking the leap—and we don't want that to hold you back. If you believe in our mission and in your ability to make an impact, we want to hear from you! The Fine Print Pay Transparency Notice At Linden Lab, our Total Rewards philosophy is rooted in fairness, equity, and an unbiased approach to compensation, paired with competitive benefits across all locations where we operate. For this San Francisco Bay Area-based role, the salary range is $143,000 - $193,000, with a midpoint of $168,000. New hires start between the minimum and midpoint of the applicable geo-defined range, with final base pay determined by several factors, including experience, skills, competencies, internal equity, and market data calibration. In addition to base pay, this role is eligible for awards under our Equity Incentive Plan (EIP) and a generous benefits package that includes comprehensive medical, dental, vision, and 401(k) plans. Our talent partners will provide more details during the hiring process. Essential Role Functions & Work Environment The details below outline the core functions and work environment required for this role. Linden Lab is committed to providing reasonable accommodations to support individuals with disabilities in performing these essential duties. • Perform focused, computer-based tasks and collaborate effectively with coworkers in a dynamic, in-office environment. While some remote collaboration may occur, in-office presence is an essential requirement of this role to foster creativity, teamwork, and spontaneous problem-solving., • Communicate clearly and effectively through typing, using hands and fingers for keyboard tasks., • Maintain the ability to sit, stand, or remain stationary for extended periods (up to eight hours) during calls, meetings, or collaborative sessions, with ergonomic workstations and tools provided., • Sustain prolonged attention on a computer monitor to perform tasks requiring visual focus and attention to detail., • Operate office equipment and handle materials as needed for presentations, discussions, or team activities., • Move freely around the office to attend meetings, participate in team activities, and contribute to shared responsibilities, supporting a collaborative and engaging workplace culture., • Travel may be required for business meetings, team summits, or company events, where in-person participation is an essential part of the role to foster collaboration, alignment, and engagement. Our Commitment to Equal Opportunity Linden Lab celebrates and values diversity in all its forms, including differences in thought, race, national origin, culture, age, experience, religion, economic and social status, gender identity and expression, sexual orientation, marital status, veteran status, and disability. We believe that fostering a culture of inclusion and belonging empowers us to create and share meaningful experiences—both within our team and across the virtual communities we serve. We are committed to maintaining a diverse, equitable, and welcoming workplace where everyone feels valued and supported. Candidates from all backgrounds and experiences are encouraged to apply and contribute to shaping the future of virtual experiences. Global Data Privacy Notice Your privacy is important to us. Depending on your location, laws such as the California Privacy Rights Act (CPRA) may govern how we handle and process the personal data of job applicants. To learn more, please review our full notice detailing how applicant data is collected, used, and protected in applicable regions. By submitting your application, you consent to the processing of your data in accordance with applicable laws and our privacy practices.

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a product-minded Senior Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. In this role, you will also be responsible to: * Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development. * Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions. * Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team. * Implement and improve validation, monitoring, and observability for ML services within the sandbox environment. * Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement. * Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability. * Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment. * Conduct code reviews and mentor team members to uphold high engineering standards. * Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team. RequirementsQualifications / Experience / Technical Skills * Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. * 5+ years of experience of professional software development experience, with a proven track record of shipping high-quality products. * You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience. * You have experience building developer-facing products, APIs, SDKs, or CLIs. * You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models. * Proven track record of deploying and maintaining ML services in production environments is a strong plus. * Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms. * LLMops/MLops experience is a strong plus, especially in developer-facing products. * Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable. Soft Skills / Personal Characteristics * Excellent written and verbal communication skills in English. * Collaborative team player with a passion for empowering developers and improving developer experience. * Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment. * Strong problem-solving skills and a continuous improvement mindset. (REQ ID: 2428)

Job Description Our Story and Purpose Linden Lab develops platforms that empower people to create, connect, and thrive through transformative virtual experiences. Since our founding in 1999, we've been at the forefront of the creator economy, building platforms that inspire limitless imagination and innovation. In 2003, we revolutionized the virtual world with the launch of Second Life—a vibrant, user-driven community where creativity knows no bounds. With nearly two billion user creations and a flourishing $650 million economy, Second Life continues to be a global hub for collaboration, self-expression, and entrepreneurship. We believe our strength lies in diversity—of perspectives, experiences, and ideas. Our values are rooted in organizational health, strengths-based leadership, and the belief that collaborative teams are stronger than individuals. At Linden Lab, you'll be at the cutting edge of virtual worlds, shaping the future of immersive experiences. Whether you're building innovative tools or fostering a welcoming community, you'll find a place to belong, thrive, and be unapologetically yourself. We invite you to come as you are. Your Mission This role will follow a hybrid schedule, requiring in-office presence at our San Francisco office from Monday to Thursday, with an occasional additional day on-site as needed. We're looking for a Staff Software Engineer with experience integrating payment providers to own, maintain, and continuously modernize our payments and billing infrastructure. A self-motivated engineer with strong judgment on when to dig deep and when to make smart, pragmatic tradeoffs. Someone who enjoys making sense of complex systems and bringing clarity to ambiguity who elevates those around them and actively contributes to a culture of great developer experience. This is an independent contributor role, reporting to the Manager, Engineering. In this role, you will be the key technical subject matter expert working with Product, QA, and Design to ensure reliable, compliant money movement. You will write and maintain automated tests to ensure high reliability in a regulated environment while mentoring and supporting teammates through code reviews, documentation, and technical leadership. How You'll Grow With Us At the Lab, you'll experience the best of both worlds: the stability of an established company with over 20 years of expertise and the dynamic momentum of a startup driven by continuous progress. You'll have the unparalleled opportunity to forge meaningful relationships, design impactful systems, and craft strategies that shape the future of virtual experiences. Our vibrant in-office environment in San Francisco is designed to foster creativity, collaboration, and ingenuity. With spaces purpose-built for brainstorming, team building, and spontaneous conversations, you'll find endless opportunities to engage and grow. We believe in the power of in-person connections to cultivate a strong sense of community and inclusion, ensuring that your ideas are valued, your contributions celebrated, and your impact deeply felt every day. The Impact You'll Drive • Contribute to and guide migration efforts for legacy codebases toward more sustainable, testable architecture using modern tools (FastAPI, Django, etc.)., • Participate in on-call rotation for critical payments infrastructure., • Collaborate with cross-functional teams to scope and implement projects that affect the broader platform., • Contribute to CI/CD and devtools improvements that enhance developer experience., • Demonstrated executive presence, clearly communicating engineering priorities, progress, challenges, and recommendations while translating complex technical concepts into strategic insights to influence outcomes. How You'll Shape Our Future At Linden, we celebrate all the dimensions of diversity, including diversity of experience. We recognize that candidates applying for this role will be most successful if they bring the following with them: • 8+ years backend software engineering experience, with strong Python skills and proficiency in SQL., • Experience building and maintaining APIs, especially for server-side systems., • Experience in payments, billing, or real money movement—ideally with providers like PayPal, Stripe, or similar., • Comfortable working in, refactoring, and maintaining legacy codebases (e.g. PHP, Perl)., • Strong grasp of cloud infrastructure (AWS preferred) and infrastructure as code (CloudFormation or equivalent)., • Familiarity with automated testing, CI/CD pipelines, and modern engineering practices., • Strong written and verbal communication skills across hybrid teams. The Fine Print Pay Transparency Notice At Linden Lab, our Total Rewards philosophy is rooted in fairness, equity, and an unbiased approach to compensation, paired with competitive benefits across all locations where we operate. For this San Francisco Bay Area-based role, the salary range is $165,000 - $223,000, with a midpoint of $194,000. New hires start between the minimum and midpoint of the applicable geo-defined range, with final base pay determined by several factors, including experience, skills, competencies, internal equity, and market data calibration. In addition to base pay, this role is eligible for awards under our Equity Incentive Plan (EIP) and a generous benefits package that includes comprehensive medical, dental, vision, and 401(k) plans. Our talent partners will provide more details during the hiring process. Essential Role Functions & Work Environment The details below outline the core functions and work environment required for this role. Linden Lab is committed to providing reasonable accommodations to support individuals with disabilities in performing these essential duties. • Perform focused, computer-based tasks and collaborate effectively with coworkers in a dynamic, in-office environment. While some remote collaboration may occur, in-office presence is an essential requirement of this role to foster creativity, teamwork, and spontaneous problem-solving., • Communicate clearly and effectively through typing, using hands and fingers for keyboard tasks., • Maintain the ability to sit, stand, or remain stationary for extended periods (up to eight hours) during calls, meetings, or collaborative sessions, with ergonomic workstations and tools provided., • Sustain prolonged attention on a computer monitor to perform tasks requiring visual focus and attention to detail., • Operate office equipment and handle materials as needed for presentations, discussions, or team activities., • Move freely around the office to attend meetings, participate in team activities, and contribute to shared responsibilities, supporting a collaborative and engaging workplace culture., • Travel may be required for business meetings, team summits, or company events, where in-person participation is an essential part of the role to foster collaboration, alignment, and engagement. Our Commitment to Equal Opportunity Linden Lab celebrates and values diversity in all its forms, including differences in thought, race, national origin, culture, age, experience, religion, economic and social status, gender identity and expression, sexual orientation, marital status, veteran status, and disability. We believe that fostering a culture of inclusion and belonging empowers us to create and share meaningful experiences—both within our team and across the virtual communities we serve. We are committed to maintaining a diverse, equitable, and welcoming workplace where everyone feels valued and supported. Candidates from all backgrounds and experiences are encouraged to apply and contribute to shaping the future of virtual experiences. Global Data Privacy Notice Your privacy is important to us. Depending on your location, laws such as the California Privacy Rights Act (CPRA) may govern how we handle and process the personal data of job applicants. To learn more, please review our full notice detailing how applicant data is collected, used, and protected in applicable regions. By submitting your application, you consent to the processing of your data in accordance with applicable laws and our privacy practices.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Senior/Staff Software Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving. You will work closely with our multidisciplinary team of research scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution. You will...- Architect and implement the next generation of our scenario framework, evolving it to support scenario generation at scale for Waabi World and Mixed Reality Testing.- Design clean, intuitive APIs that empower researchers, autonomy developers, and systems engineers across Waabi to author and generate scenarios easily and efficiently.- Build robust systems in Python and Rust that balance flexibility, performance, and maintainability.- Collaborate with researchers to productionize cutting-edge research into robust, scalable systems.- Champion engineering excellence and contribute to the technical direction of the team. Qualifications:- Strong software engineering fundamentals with proven experience architecting and refactoring complex production systems.- Demonstrated excellence in API design, particularly for developer-facing tools and frameworks.- Passion for software craftsmanship–you care deeply about code quality, API ergonomics, and developer experience. Bonus/nice to have:- Experience in self-driving, traffic simulation, or a related field.- Experience with ML frameworks such as PyTorch, TensorFlow, or Jax.- Experience with imitation learning, reinforcement learning, planning, and/or robotics.- Experience with simulation systems, game engines, or related technologies. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Our Team Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. About the Role We’re seeking a Staff Software Engineer to provide hands-on technical leadership for the core software platform that powers our production robotic systems. This role owns the on-robot software stack end to end, from Linux-based platform software and robotics middleware through fleet management, deployment, and cloud connectivity. You'll work across software and data engineering, partnering closely with Autonomy, Hardware, Product, and Field Operations to deliver production-ready robotic systems for Tier 1 food production customers.Technical Architecture & Platform Leadership • Define and evolve the architecture for on-robot software, including OS configuration, hardware abstraction, middleware, and system services, • Lead middleware architecture decisions for real-time robot control, sensor integration, and inter-process communication, • Establish patterns for full-stack development, connecting on-robot systems to cloud services and web interfacesHands-On Engineering, • Write production code for high-impact features across the stack: robotics middleware, backend services, and cloud infrastructure, • Lead critical technical initiatives, including robotic platform software, cloud data pipelines, and fleet management platform, • Build robust deployment, monitoring, and OTA update systems for production robot fleets, • Debug the most challenging issues from kernel/driver level through the application layerEngineering Excellence & Mentorship, • Establish engineering standards and processes that balance rigor with startup agility, • Champion reliability, observability, and testing practices across embedded and cloud systems, • Mentor engineers through code reviews, design discussions, and pairing sessions, • Collaborate with Hardware and Autonomy teams on system integration and performance optimization, • Build and maintain internal and developer tooling that acts as a force multiplier across the organizationRequired Qualification, • 8+ years of software engineering with 3+ years in technical leadership roles, • Track record delivering production robotic systems, IoT devices, or autonomous systems at scale, • Experience designing reliable systems for B2B/enterprise deployments, • On-device platform expertise: OS configuration, device drivers, system services, networking stack configuration, • Robotics middleware: ROS/ROS2, real-time systems, sensor integration, • Infrastructure: Containerization (Docker/K8s), CI/CD pipelines, monitoring/observabilityNice to have, • Collaborative robots (Universal Robots UR5E or similar cobots), • Over-the-air update systems and remote device management at scale, • Background in manufacturing/production environments, • Track record at high-growth hardware/robotics startups, • Cloud experience: AWS/GCP/Azure

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: As a Senior Software Engineer, you’ll design and implement the APIs and integrations that connect Quizlet to a global ecosystem of partners, AI agents, and learning platforms. You’ll help define the architecture for our LearnOS plugin system, build developer tooling, and collaborate across teams to ensure secure, scalable, and discoverable services. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Design and deliver APIs powering partner integrations and agentic workflows., • Develop infrastructure for Quizlet widgets and embedded experiences in LMS and productivity tools., • Build developer-facing tools, SDKs, and plugin frameworks for external integrations., • Ensure API reliability, scalability, and security through rate-limiting and observability., • Mentor junior engineers and contribute to platform standards and design reviews.What you bring to the table:, • 5+ years of backend or platform engineering experience, including API design., • Strong experience building extensible REST/gRPC APIs, SDKs, and integration systems., • Knowledge of OAuth2, rate limiting, and platform security best practices., • Hands-on experience in Go, Python, Node.js, or TypeScript., • Strong collaboration skills and a product-focused engineering mindset.Compensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $165,000– $225,500, depending on location and experience, as well as company stock options., • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401(k) plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: We are looking for a Senior Software Engineer to join our Developer Experience team and build the tools, systems, and workflows that make our engineering organization more productive. You'll focus on release engineering, CI/CD pipelines, testing infrastructure, AI tooling, and metrics-driven improvements that help developers ship faster and more reliably. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Develop internal tools and platforms that reduce friction in the development workflow—from local development to production deployment, • Design and build CI/CD pipelines and release automation systems that enable safe, fast deployments across our engineering organization, • Create and maintain testing infrastructure, including frameworks, tooling, and environments that improve test coverage and developer confidence, • Establish metrics and observability for developer experience, measuring build times, deployment frequency, test reliability, and other key indicators, • Partner with product engineering teams to understand pain points and design solutions that scale across the organization, • Lead technical initiatives to improve code quality, test automation, and release processes, • Mentor engineers on testing best practices, CI/CD patterns, and developer productivity techniquesWhat you bring to the table:, • 5+ years of professional software engineering experience, with significant time spent on developer tooling, CI/CD, testing infrastructure, or release engineering, • Previous experience as a product engineer building features and shipping code to production, • Strong programming skills in languages such as Python, Go, TypeScript, or PHP, • Deep experience with CI/CD systems (e.g., GitHub Actions, CircleCI) and automated testing frameworks, • Hands-on experience with release engineering, deployment strategies (blue/green, canary, feature flags), and rollback procedures, • Comfortable with data analysis and metrics—you know how to measure developer productivity and use data to drive improvements, • Familiarity with infrastructure-as-code (Terraform) and configuration management tools, • Strong systems thinking with the ability to identify bottlenecks and design scalable solutions, • Excellent communication skills; able to understand developer needs and advocate for productivity improvementsCompensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $165,000 - $225,000, depending on location and experience, as well as company stock options, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401k plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout Zipline Zipline is on a mission to transform the way goods move. Our aim is to solve the world's most urgent and complex access challenges by building the first instant logistics system that serves all humans equally. Leveraging expertise in robotics and autonomy, Zipline designs, builds, and operates a fleet of cutting edge, autonomous delivery drones. We serve tens of millions of people around the world. Joining Zipline's Emerging Talent program as an intern is an opportunity to contribute to our promise of building a system that provides equitable access to critical healthcare supplies for millions of people. We believe that internships are more than just opportunities to learn by watching or doing low level tasks. We expect our interns to take on meaningful work that actively contributes to moving Zipline's mission forward, while learning real-world skills that will serve them in their careers for the long term. Join us, and build the future of logistics with the best humans around! About the Developer Productivity Team The Developer Productivity team at Zipline empowers our engineers to build safe and reliable software faster. We design and maintain the internal tools, pipelines, and workflows that enable our autonomy, firmware, avionics, and flight software teams to innovate at scale. From improving the performance of our CI/CD system to making code reviews smoother, we create the foundation that lets Zipline engineers focus on building world-class delivery drones. Our work directly impacts the speed, reliability, and safety of the systems that power Zipline's mission to transform logistics and save lives. The Role As a DevOps Engineering Intern, you'll help build the systems and tools that keep our engineering teams moving quickly and safely. You'll work on projects that improve how engineers write, test, and deploy their code—directly impacting the quality and reliability of our autonomous aircraft. Along the way, you'll get exposure to a wide variety of engineering domains at Zipline and collaborate with experienced mentors who are excited to share their expertise. This role is a unique opportunity to learn about developer experience, cloud systems, and drone technology all at once. What You'll Do • Contribute to maintaining and improving our CI/CD pipelines., • Build internal tools (such as dashboards or bots) that make our engineers' lives easier., • Work with experienced engineers to define and deliver features that improve developer workflows., • Help improve the speed and reliability of automated testing and builds., • Participate in real-world debugging, gaining insight into how large engineering systems operate., • Learn how infrastructure investments directly support autonomous aircraft development.What You'll Bring, • Current enrollment in a BS, MS, or PhD program in Computer Science, Electrical Engineering, or a related field., • Strong programming experience in at least one language (Rust, Python, Go, C++, or similar)., • Familiarity with software development tools (bazel, git, CI/CD systems, build tools, etc.)., • A problem-solving mindset, with curiosity to understand how systems work end-to-end., • Strong communication skills and eagerness to collaborate with engineers across disciplines. Candidates are limited to three (3) applications within a 30-day period. The starting cash range for this internship is $40 - 44/ hour. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, and working location. The total compensation package for each role may also include: a housing stipend; overtime pay; relocation support; paid sick time; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

Job DescriptionAbout Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Requirements We are seeking a product-minded Principal Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. • Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development., • Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions., • Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team., • Implement and improve validation, monitoring, and observability for ML services within the sandbox environment., • Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement., • Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability., • Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment., • Conduct code reviews and mentor team members to uphold high engineering standards., • Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team.RequirementsQualifications / Experience / Technical Skills, • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience., • 10+ years of experience of professional software development experience, with a proven track record of shipping high-quality products., • You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience., • You have experience building developer-facing products, APIs, SDKs, or CLIs., • You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models., • Proven track record of deploying and maintaining ML services in production environments is a strong plus., • Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms., • LLMops/MLops experience is a strong plus, especially in developer-facing products., • Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.Soft Skills / Personal Characteristics, • Excellent written and verbal communication skills in English., • Collaborative team player with a passion for empowering developers and improving developer experience., • Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment.

Job Description Upbound is the company behind Crossplane, the open source project which started the control plane revolution in the cloud native community. Upbound is redefining how modern infrastructure is built. As the creators of Crossplane and the pioneers of the Intelligent Control Plane, we are leading the shift toward agentic infrastructure: platforms that reason, adapt, and operate alongside AI-native systems. We're seeking an exceptional Senior Principal Engineer to serve as the technical leader to develop the future of autonomous infrastructure platforms for the enterprise. In this role, you'll architect and drive the development of a sophisticated multi-control plane system powered by AI that unifies infrastructure management, workload orchestration, and policy governance at scale. We call this the Control Fabric. Building on the innovations Upbound has pioneered with Crossplane, Spaces, and the AI-Native Intelligent Control Plane, you'll design solutions that enable enterprise organizations to deploy and manage infrastructure platforms at massive scale. This is an opportunity to work at the forefront of cloud-native infrastructure, solving complex challenges for the world's most demanding environments. What You'll DoTechnical Leadership & Architecture • Define and drive the technical vision for our multi-control plane architecture, leveraging Crossplane's control plane framework and extending Upbound Spaces concepts to solve enterprise-scale infrastructure challenges, • Lead the design and implementation of control plane abstractions that elegantly separate concerns across infrastructure provisioning, workload lifecycle management, and policy enforcement, • Architect solutions for enterprise organizations managing thousands of workloads across multi-cloud, on premises, and hybrid environments, balancing complexity with usability, • Establish technical standards and decision-making frameworks that guide the organization through complex architectural trade-offs in large-scale deploymentsProduct Development & Strategy, • Build upon your deep experience with container orchestration platforms to design workload management capabilities that meet the demanding requirements of enterprise application portfolios, • Extend and enhance Kubernetes-based architectures to address real-world enterprise challenges including multi-tenancy, compliance, security, and operational governance at scale, • Create robust integration patterns between control planes, ensuring seamless coordination while maintaining clear separation of concerns across infrastructure, workload, and policy domains, • Drive decisions around technology selection, vendor partnerships, and build-vs-buy trade-offs for critical platform components, with deep consideration for enterprise requirementsEnterprise Platform Excellence, • Design for enterprise realities: complex organizational structures, stringent compliance requirements, legacy system integration, and the need for gradual migration paths, • Architect solutions that support diverse deployment models including on-premises, cloud, hybrid, and edge environments, • Create frameworks for platform teams to deliver self-service capabilities while maintaining centralized governance and security controls, • Champion engineering excellence through code reviews, design reviews, and mentorship of senior engineersCross-Functional Collaboration, • Partner with product and go-to-market teams to translate enterprise organizational requirements into scalable technical solutions, • Communicate complex technical concepts to both technical and non-technical stakeholders, building alignment across the organization and with enterprise customers, • Influence engineering culture and practices across multiple teams, establishing patterns for documentation, testing, and operational readiness that meet enterprise standardsWhat You'll Bring, • 12+ years of software engineering experience with at least 5 years in technical leadership roles, • Proven track record designing, building, and scaling container workload management platforms (e.g. EKS, GKE, AKS, Heroku, Digital Ocean, or similar) for large organizations, • Deep expertise in Kubernetes internals, container runtimes, and cloud-native architectures with understanding of enterprise deployment patterns, • Experience building or supporting infrastructure platforms used by large enterprise organizations with complex requirements, • Demonstrated experience leading complex, multi-year technical initiatives from concept through production deployment at scale, • History of technical leadership including mentoring senior engineers and influencing architectural decisions across organizationsTechnical Expertise, • Strong understanding of control plane design patterns, including reconciliation loops, declarative APIs, and eventual consistency models, • Familiarity with Crossplane architecture and concepts, or strong interest in rapidly developing deep expertise, • Experience with infrastructure-as-code and GitOps methodologies in enterprise environments, • Proficiency in multiple programming languages (Go, Python, or similar) with emphasis on building reliable distributed systems, • Deep knowledge of cloud infrastructure primitives across major cloud providers (AWS, GCP, Azure), • Understanding of policy-as-code frameworks and policy enforcement patterns, particularly in regulated industries, • Experience with multi-tenancy patterns, RBAC, and security models for platform infrastructureLeadership Qualities, • Exceptional technical judgment with the ability to navigate ambiguity and make sound decisions with incomplete information, • Demonstrate a positive attitude and foster an environment of encouragement, experimentation, learning, and accountability, • Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly to diverse audiences including enterprise stakeholders, • Track record of building consensus and driving alignment across engineering teams and organizational boundaries, • Passion for building leverage through platforms, tooling, and developer experience improvements, • Bias toward action balanced with thoughtful consideration of long-term implications and enterprise adoption patterns, • Deep empathy for platform users and understanding of what makes infrastructure platforms successful in large organizationsA plus if you:, • Have direct experience with Crossplane, Upbound, or other Kubernetes-based control plane frameworks, • Background working with Fortune 500 or Global 2000 enterprise customers on infrastructure initiatives, • Experience in service mesh, observability platforms, or security tooling in enterprise contexts, • Prior experience in a technical leadership role at high-growth technology companies or enterprise platform vendors, • Open source contributions to cloud-native projects, particularly CNCF projects, • Experience building internal developer platforms or platform-as-a-service offerings that scaled to thousands of users, • Understanding of compliance frameworks (SOC 2, FedRAMP, HIPAA, etc.) and their impact on platform architecture #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 Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. The Systems Engineering and Core Services team supports the common APIs, services, data stores, and dev tools that provide a great product experience to our end-users and a great developer experience to our engineering teams. A typical day might start out looking for trouble and end with project plans and cross-functional collaborations that run a thorny problem to ground. This role combines technical leadership with strategic impact, shaping Kiddom’s systems to grow each school year. You’ll work in languages from Go to TypeScript to Python, on technologies from web APIs to graph databases to edge computing and LLMs. You will have the opportunity to drive technical change across every team. You will help engineers around you do their best work using tools you select and champion. Your outtie is exceptionally good at debugging null pointer exceptions. Note: There is a list of questions as part of the application process. Not filling them out or putting N/A automatically disqualifies you. Qualifications • 6+ years of software development experience at scale., • 3+ years of experience leading cross-functional projects., • Fluency in Go is a must plus at least one of TypeScript, Javascript, Python., • Experience managing services in AWS or other cloud platforms., • Experience with Docker containers and Linux virtual machines., • Conscientious of impact, always keeping the end-user in mind., • Enjoy teaching best practices and learning new technologies., • Have a knack for finding simple solutions to big problems, enrolling engineering teams and stakeholders in your vision., • Track record of shipping quality products that scale without drama., • Calm professionalism during production incidents. Share your worst outage stories to learn and level up junior engineers., • Adaptable to changing customer needs and unexpected system behavior.What Kiddom offers, • The opportunity to make a measurable impact in K-12 education, • Competitive salary and equity in a hyper-growth, mission-driven organization, • Full health benefits: medical, dental, and vision, • Flexible vacation policy, • 401k, • An inclusive, positive team culture

Job DescriptionLandingAI is a leader in Agentic Document Intelligence. Our flagship solution, Agentic Document Extraction (ADE), replaces traditional OCR with layout-aware AI system that parses complex documents without the need for rigid templates. By providing visual grounding for full auditability, ADE enables high-stakes industries like financial services and healthcare to extract valuable data and to automate critical workflows with unmatched accuracy. In addition to document intelligence, we offer the LandingLens™ platform for vision-AI anchored computer vision applications including inspection, defect detection and robotics. About the Role: As a Software Engineer at LandingAI, you will build and maintain core web applications and services that power our AI-driven products. While you will not be responsible for developing machine learning models, you will work very closely with ML engineers to integrate ML capabilities into scalable, reliable, and user-friendly software systems. This role sits at the intersection of software engineering and applied AI, enabling ML innovations to reach customers through high-quality products.Key Responsibilities: • Design, develop, and maintain web applications and backend services that integrate ML-powered features., • Collaborate closely with Machine Learning Engineers and Product Managers to understand ML system requirements and translate them into robust software solutions., • Build reliable, scalable, and low-latency services that support ML inference, data workflows, and AI-driven user experiences., • Use LLMs to build scalable and reliable AI agents., • Own the full software development lifecycle: design, implementation, testing, deployment, monitoring, and maintenance., • Ensure high standards for code quality, testing, observability, and operational excellence., • Troubleshoot production issues and participate in on-call or support rotations when needed., • Mentor junior engineers and contribute to technical best practices across teams., • Act as a strong cross-functional partner between product, engineering, and ML teams.Required Qualifications:, • Minimum of 5 years of professional experience in software engineering., • Advanced skills in Python, web backend development, and building AI agents., • Knowledge of containerization tools (Docker, Kubernetes) or cloud platforms (AWS, GCP)., • In-depth understanding of web application architecture and API design principles., • Proven experience integrating with external services or intricate backend systems., • Experience working with LLMs to develop AI agents that are scalable and reliable., • Experience evaluating and benchmarking AI products., • Demonstrated ability to work autonomously, showing high ownership and accountability., • Excellent communication skills and experience collaborating effectively with diverse, cross-functional teams., • Flexibility to adjust working hours to accommodate the needs of a global team., • Experience using AI Coding Agents like Claude Code to develop reliable, scalable and high quality code.Valuable / Bonus Qualifications:, • Experience with ML frameworks like PyTorch., • Experience with serving ML models and LLMs (vLLM)., • Experience collaborating with Machine Learning (ML) or data teams., • Familiarity with ML concepts, including inference, model serving, latency considerations, and data pipelines., • Experience utilizing PostgreSQL, Object-Relational Mappers (ORMs), ETL pipelines., • Experience developing developer-facing tools or internal platform solutions.LandingAI Benefits:, • Stock Options – We want you to share in our success with equity grants., • Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.*, • Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.*, • Lifelong Learning – An education stipend to help you grow and keep learning., • Generous PTO – We know life happens outside of work, and we want you to enjoy it.*, • Global Team & Fun Events – Work with amazing colleagues across North America, Latin America, and Asia, and connect through virtual and in-person events.

Job DescriptionCanvas Medical is the electronic medical records (EMR) and payments development platform for healthcare. We build modern, elegant front- and back-end tooling to enable new ways for developers and clinicians to collaborate to solve healthcare’s toughest challenges. Canvas is institutionally backed by some of the greatest technology investors in the world (funded notable health tech companies such as GoodRx, Oscar Health, and Hims & Hers Health). The Role We’re hiring an Applied AI Software Engineer to lead evaluations for agents in development and the post-deployment fleet of agents operating in Canvas to automate work for our customers. You will help develop agents in Canvas using state of the art foundation model inference and fine-tuning APIs along with our server-side SDK. The server-side SDK provides extensive tools and virtually all the context necessary for excellent agent performance. You’ll be responsible for designing and running rigorous evaluation experiments that measure performance, safety, and reliability across a wide variety of clinical, operational, and financial use cases. This role is ideal for someone with deep experience evaluating LLM-based agents at scale. You’ll create high-fidelity unit evals and end-to-end evaluations, define expert-determined ground truth outcomes, and manage iterations across model variants, prompts, tool use, and context window configurations. Your work will directly inform model selection, fine-tuning, and go/no-go decisions for AI features used in production settings.You’ll collaborate with product, ML engineering, and clinical informatics teams to ensure that Canvas's AI agents are not only capable, but trustworthy and robust under real-world healthcare constraints. You will also work with technical product marketers and developer advocates to help our broader developer community and the broader market understand the uniquely differentiated value of agents in Canvas.Who You Are • You have extensive hands-on experience evaluating LLM-based systems, including multi-agent architectures and prompt-based pipelines., • You are deeply familiar with foundation model APIs (OpenAI, Claude, Gemini, etc.) and how to systematically benchmark agent performance using those models in applied settings., • You care about correctness and reproducibility and have built or contributed to frameworks for automated evals, annotation pipelines, and experiment tracking., • You bring structure to ambiguity and know how to define “correctness” in complex, nuanced domains., • You are comfortable collaborating across engineering, product, and clinical subject matter experts., • You are not afraid of complexity and are energized by the rigor required in healthcare deployments.What You’ll Do, • Design and execute large-scale evaluation plans for LLM-based agents performing clinical documentation, scheduling, billing, communications, and general workflow automation tasks., • Build end-to-end test harnesses that validate model behavior under different configurations (prompt templates, context sources, tool availability, etc.)., • Partner with clinicians to define accurate expected outcomes (gold standard) for performance comparisons in domains of clinical consequence, and partner with other subject matter experts in other non-clinical domains., • Run and replicate experiments across multiple models, parameters, and interaction types to determine optimal configurations., • Deploy and maintain ongoing sampling for post-deployment governance of agent fleets., • Analyze results and summarize tradeoffs in clarity for product and engineering stakeholders, as well as for technical stakeholders among our customers and the broader market., • Take ownership over internal eval tooling and infrastructure, ensuring speed, rigor, and reproducibility., • Identify and recommend candidates for reinforcement fine-tuning or retrieval augmentation based on gaps identified in evals.What Success Looks Like at 90 Days, • An expanded set of robust evaluation suites exists for all major AI features currently in development and in production., • We have well-defined correctness criteria for each workflow and a reliable source of expert-determined outcome objects., • Product and engineering teams have integrated your evaluation tools into their daily workflows., • Evaluation results are clearly documented and reproducible, enabling trust in the performance trajectory., • Your have effectively engaged your marketing counterparts to translate your work into key messages to the market and to Canvas customers.Qualifications, • 5+ years of experience in applied machine learning or AI engineering, with a focus on evaluation and benchmarking., • Proficiency with foundation model APIs and experience orchestrating complex agent behaviors via prompts or tools., • Experience designing and running high-throughput evaluation pipelines, ideally including human-in-the-loop or expert-labeled benchmarks., • Superlative Python engineering skills and familiarity with experiment management tools and data engineering toolsets in general including, yes, SQL and database management., • Familiarity with clinical or healthcare data is a strong plus., • Experience with reinforcement fine-tuning, model monitoring, or RLHF is a plus.

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 Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: * Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world * Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America * Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a product-minded Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. You will also be responsible to: * Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development. * Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions. * Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team. * Implement and improve validation, monitoring, and observability for ML services within the sandbox environment. * Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement. * Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability. * Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment. * Conduct code reviews and mentor team members to uphold high engineering standards. * Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team. RequirementsQualifications / Experience / Technical Skills * Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. * 3+ years of experience of professional software development experience, with a proven track record of shipping high-quality products. * You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience. * You have experience building developer-facing products, APIs, SDKs, or CLIs. * You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models. * Proven track record of deploying and maintaining ML services in production environments is a strong plus. * Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms. * LLMops/MLops experience is a strong plus, especially in developer-facing products. * Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable. Soft Skills / Personal Characteristics * Excellent written and verbal communication skills in English. * Collaborative team player with a passion for empowering developers and improving developer experience. * Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment. * Strong problem-solving skills and a continuous improvement mindset. (REQ ID: 2242)

Job DescriptionWho We Are Baton is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world's most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Baton's mission: enable supply chain on autopilot. Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here. Role: Staff Software Engineer - Infrastructure Team: Machine Learning Pod Location: Hayes Valley, San Francisco, CA Basic Job Details Job Type: Full Time Work Model: Hybrid Remote Days: Monday & Friday Office Days: Tuesday, Wednesday, Thursday Job Description As a Staff Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure. You'll build scalable ML infrastructure from the ground up - supporting model deployment, distributed training, real-time inference, and more. You'll be a key partner to the Data Science team, helping bring value to production quickly and reliably. This role requires a blend of advanced Python programming skills within production environments and expertise in distributed computing. Responsibilities • Own Core ML Infrastructure:, • Build and scale distributed systems for ML training, serving, and inference., • Design and implement real-time ML workflows that power core product features., • Implementation of Distributed Systems:, • Build robust distributed systems tailored for efficient ML training and seamless operational deployment., • Feature Engineering Enhancement:, • Streamline and manage both online and offline feature stores, optimizing feature engineering processes for greater efficiency., • Real-Time ML Workflow Enhancement:, • Improve real-time machine learning workflows to support dynamic decision-making and automate core operational processes., • Platform Level Ownership:, • Lead the development of ML Ops systems, including model deployment, monitoring, and experiment tracking., • Architect and manage scalable feature stores for online and offline usage., • AI-Driven Optimization:, • Contribute to agentic AI systems for freight matching, ETA prediction, and load scheduling., • Support systems that improve Stop Estimation Accuracy and Cross-Mode Optimization., • Production Ready Engineering:, • Write production-grade Python that operates at scale, with reliability and performance top of mind., • Collaborate across engineering and data science to turn models into resilient software systems.Required Qualifications, • Production Python & Distributed Systems Expertise, • Advanced proficiency in Python at a Staff Level, • Must be within a production environment where the code directly impacts operations., • Experience in distributed computing, scalable ML infrastructure, & high-performance engineering., • Machine Learning (MLOps), • Scales ML infra for multiple teams and use cases., • Experience implementing and serving ML algorithms., • Ensures reproducibility, lineage, and experiment rigor., • Owns end-to-end ML systems: training, deployment, features, monitoring, rollback., • Hands-on experience with data engineering, distributed training, model monitoring, and experiment tracking., • Breadth of knowledge and applied experience across multiple ML applications, with proven ability to leverage a wide range of tools, frameworks, and systems., • Technical Leadership & Cross-Functional Influence, • Leads design and delivery of large-scale ML or distributed systems., • Defines reusable patterns, standards, and architectures., • Drives decisions that improve reliability, latency, and developer velocity., • Sets technical direction and elevates ML engineering standards., • Communicates vision and trade-offs across disciplines., • Can Mentor other ML engineers on the team. Preferred Qualifications • 5 to 8 years of backend or ML infrastructure experience., • Proven track record building production ML workflows at scale., • Experience in industry logistics, transportation, or freight is a bonus. The Perks • Competitive Base Salary, • Long Term Cash Incentive Plans, • Annual Company Bonus, • 401k with Matching, • Hybrid Work Schedule, • Comprehensive Health Coverage, • Hyper-Stable, publicly traded Enterprise, • Employee Stock Purchase Program (15% discount to market value) Compensation will vary based on factors including skill level, transferable knowledge, and experience. Note that the above is not the representation of total compensation, which includes our LTI Package as well. In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses. Why You Should Join • Have an immediate impact:, • With Ryder's existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one., • Opportunity to grow and lead in a Fortune 500 company:, • You'll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team., • Creative, fast-paced environment to solve impactful problems in Supply Chain:, • We're going to design completely new tools for an industry that hasn't been rethought in decades. And to do this, we need people who think differently.

Job DescriptionABOUT ARTERA Our Mission: Make healthcare #1 in customer service. What We Deliver: Artera, a SaaS leader in digital health, transforms patient experience with AI-powered virtual agents (voice and text) for every step of the patient journey. Trusted by 1,000+ provider organizations — including specialty groups, FQHCs, large IDNs and federal agencies — engaging 100 million patients annually. Artera’s virtual agents support front desk staff to improve patient access including self-scheduling, intake, forms, billing and more. Whether augmenting a team or unleashing a fully autonomous digital workforce, Artera offers multiple virtual agent options to meet healthcare organizations where they are in their AI journey. Artera helps support 2B communications in 109 languages across voice, text and web. A decade of healthcare expertise, powered by AI. Our Impact: Trusted by 1,000+ provider organizations — including specialty groups, FQHCs, large IDNs and federal agencies — engaging 100 million patients annually. Hear from our CEO, Guillaume de Zwirek, about why we are standing at the edge of the biggest technological shift in healthcare’s history! Our award-winning culture: Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023, 2024); Deloitte Technology Fast 500 (2021, 2022, 2023, 2024, 2025); Built In Best Companies to Work For (2021, 2022, 2023, 2024, 2025). Artera has also been recognized by Forbes as one of “America’s Best Startup Employers,” Newsweek as one of the “World’s Best Digital Health Companies,” and named one of the top “44 Startups to Bet your Career on in 2024” by Business Insider. OB SUMMARY Artera’s Engineering Digital Workflow Automation and Resource Fellows (D.W.A.R.Fs) is seeking a Staff Software Engineer to help define, evolve, and scale the platform that powers next-generation patient communication—especially as we accelerate our work in agentic AI, Anthropic Claude & MCP (Model Context Protocol) servers, and high-throughput distributed systems. This role reports directly to the Senior Engineering Manager, and is responsible for driving technical excellence across teams, and leading execution on high-risk or high-impact initiatives critical to Artera’s long-term success. You will be a multiplier: architecting large-scale systems, mentoring engineers, and ensuring our platform remains resilient, performant, and ready for the next wave of AI-driven patient engagement. RESPONSIBILITES Technical Leadership- Serve as a domain expert in backend architecture, distributed systems, and high-throughput IO.- Drive company-wide architectural patterns, platform strategy, and engineering standards.- Lead execution on complex, open-ended projects spanning multiple quarters—including 2026 initiatives in agentic AI and MCP server infrastructure.- Own cross-team architectural buy-in and guide teams through refactors and modernization efforts. Execution & Delivery- Independently design and deliver large-scale features that impact multiple products or services.- Systematically reason through system-wide implications, edge cases, and performance trade-offs- Agent and Government work collaboration and delivery-Identify and eliminate sources of instability, latency, and operational risk.- Build from scratch when needed—especially for distributed IO-intensive systems. Mentorship & Culture- Model engineering maturity through thoughtful code reviews, documentation, and technical communication.- Mentor engineers across teams; elevate their understanding of architecture, debugging, reliability, and AI-era best practices.- Foster a blameless culture that encourages learning, experimentation, and continuous improvement.- Champion transparency, clear communication, and strong cross-functional collaboration. Collaboration- Partner closely with product, design, and data/ML teams to translate complex technical ideas into practical, user-centered solutions. Strong Communication and technical interpretation is key**- Provide architectural guidance on story-level decisions within your domain.- Advocate for engineering-focused improvements in process, tooling, reliability, and developer experience.Requirements • Bachelor’s degree in Computer Science or equivalent professional experience, • Cross team function experience working with multiple orgs creating influence and delivery, • 7+ years building and scaling cloud-native applications, • Deep experience with event-sourced, microservice, and distributed architectures, • Expert at integrating LLMs and agentic tools like Claude Code to automate and enhance development workflows., • Advanced TypeScript skills, focusing on building scalable, type-safe, and high-performance backend services., • Expert in Node.js and NEST, with a focus on modular system design and enterprise-level API structures., • Fullstack proficiency primary language Javascript & TypeScript, • Advanced proficiency in SQL, especially PostgreSQL schema design and optimization, • Experience with asynchronous, high-volume messaging or event-driven systems, • Strong commitment to testing, observability, and operational excellence, • Excellent communicator—able to influence stakeholders and product, • Proven ability to lead technical initiatives and mentor engineers, • Strong customer empathy and an understanding of how technical decisions influence user experience, • Familiarity with Docker & containerized environments, AWS (or similar cloud providers), Python (for platform tools, services, or ML integrations)Bonus Experience, • Experience with large-scale remote/hybrid teams, • Contributions to open source, • Collaboration/contributions with the open source community

Job DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. The Systems Engineering team supports tools and core services that provide a great product experience to our end-users and a great developer experience to our engineering teams. A typical day might start out looking for trouble and end with project plans and cross-functional collaborations that run a thorny problem to ground. This role combines technical leadership with strategic impact, shaping Kiddom’s systems to grow each school year. You’ll work in languages from Go to TypeScript to Python, on technologies from web APIs to graph databases to edge computing and LLMs. You will have the opportunity to drive technical change across every team. You will help engineers around you do their best work using tools you select and build. Your outtie is exceptionally good at debugging null pointer exceptions. Note: There is a list of questions as part of the application process. Not filling them out or putting N/A automatically disqualifies you. Qualifications • 10+ years of software development experience at scale., • 3+ years of experience leading cross-functional projects., • Fluency in Go is a must., • Fluency in at least one of these languages: TypeScript, Javascript, Python., • Experience managing services in AWS or other cloud platforms., • Experience with Docker containers and Linux virtual machines., • You put the dev in DevOps, bridging applications to infrastructure.Qualities, • Conscientious of impact, always keeping the end-user in mind., • Enjoy teaching best practices and learning new technologies., • Have a knack for finding simple solutions to big problems, enrolling engineering teams and stakeholders in your vision., • Track record of shipping quality products that scale without drama., • Calm professionalism during production incidents. Share your worst outage stories to learn and level up junior engineers.

Job Description ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports. Our traction speaks for itself: * 12X year-over-year revenue growth * Trusted by leading biotechs and big pharma across three continents * Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Senior Full Stack Engineer to help build, scale, and evolve the core Mithrl product. This is a highly product-oriented engineering role with deep ownership across frontend, backend, and system design. You will work closely with product, design, ML, and scientific teams to turn complex scientific workflows into intuitive, high-performance software used daily by world-class researchers. As a senior engineer, you will be responsible not just for execution, but for technical direction, architectural decisions, and setting engineering standards. You will own features end-to-end, from initial concept through production, iteration, and scale. This role requires strong full-stack engineering fundamentals, a bias toward shipping, and the ability to operate comfortably in ambiguous, fast-moving environments. If you enjoy building real products used by sophisticated users, thinking deeply about system design and user experience, and taking ownership of critical parts of a fast-growing platform, this role is an ideal match. WHAT YOU WILL DO * Design, build, and maintain core Mithrl product features across frontend and backend * Own end-to-end feature development, from product requirements to production deployment and iteration * Build intuitive user interfaces that abstract complex scientific and data workflows * Develop scalable backend services, APIs, and data pipelines that power the Mithrl platform * Collaborate closely with product, design, ML, and scientific teams to translate user needs into technical solutions * Make architectural decisions that balance speed, scalability, reliability, and developer velocity * Improve system performance, reliability, and observability as usage and data volumes grow * Write clean, maintainable, and well-tested code that sets a high bar for quality * Mentor junior engineers and contribute to raising the overall engineering bar * Participate in technical planning, code reviews, and ongoing platform evolution WHAT YOU BRING Required Qualifications * 7+ years of professional software engineering experience * Strong full-stack engineering experience with Python and React in production environments * Proficiency in Django for building backend APIs, services, and data-intensive systems * Strong experience building modern frontend applications using React * Experience designing and working with GraphQL APIs, including schema design, performance considerations, and client-server data modeling * Experience designing and working with scalable systems, databases, and data-intensive applications * Strong understanding of system design, software architecture, and engineering best practices * Experience shipping and owning production systems used by real customers * Ability to work effectively in fast-paced, ambiguous environments * Strong problem solving skills and a product-oriented mindset * Excellent communication skills and ability to collaborate cross-functionally Nice to Have * Experience building products for technical or scientific users * Familiarity with data-heavy, analytics, or ML-enabled platforms * Experience with cloud infrastructure such as AWS, GCP, or Azure * Experience mentoring or leading other engineers * Exposure to biotech, life sciences, or R&D workflows WHAT YOU WILL LOVE AT MITHRL * High ownership and impact: You will own meaningful parts of a category-defining product used by leading pharma and biotech organizations. Your work will directly shape how scientists interact with AI and data on a daily basis * Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders * Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution * Speed: We ship fast (2x/week) and improve continuously based on real user feedback * Location: Beautiful SF office with a high-energy, in-person culture * Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation Range: $175K - $220K

Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

🚀 Applied Research Engineer (Video AI) Location: San Francisco, CA (onsite) Compensation: $150-$250k+ meaningful equity About us: We are the only AI research lab exclusively focused on video data. We operate at exabyte scale, combining massive video infrastructure, novel video understanding techniques, and dozens of data sources to build datasets that push the frontier of video modeling. Video now represents 80% of global internet traffic and powers creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck holding these applications back: high-quality training data. We’ve partnered with top AI labs, generated $XXM in revenue last quarter with a team of just 12, and recently raised our Series A from Matrix Partners, Swift Ventures, Y Combinator, and AI Grant. What You’ll Do • Build high-performance building blocks and large-scale pipelines for video understanding at internet scale, • Solve ambiguous, open-ended research problems and turn them into production-grade systems, • Optimize model inference through pre/post-processing, parallelism, pipelining, and system-level design, • Work across computer vision, audio processing, and text/multimodal systems, • Collaborate closely with customers and external AI teams to deliver real-world impact, • Own systems end-to-end, from customer requirements to core technical abstractions What We’re Looking For • 2+ years of experience in computer vision or audio processing, • Strong Python developer with hands-on experience in PyTorch or similar ML frameworks, • Comfortable working with models and APIs and extracting maximum performance from them, • Product-minded engineer motivated by building end-to-end systems, not just training models, • Ability to break problems down from customer-level impact to foundational building blocks, • Excellent communication skills and comfort working cross-functionally, • Experience as an early hire at a startup If you’re excited about building the infrastructure and intelligence layer behind next-generation video AI, we’d love to hear from you.

Becoming is building Developmental Intelligence: AI for predicting how organisms change over time. Most experimental systems fail when metabolic demands become too high. We are building systems that don’t — by tightly integrating hardware, biology, and software into platforms that operate continuously over long time horizons. Software is the connective tissue of this platform. It turns physical systems into controllable, observable, and ultimately predictable systems. We are hiring a Full Stack Software Engineer to build and own core software systems across the stack — from user-facing interfaces to backend services, data pipelines, and system integration. This role is for a product-minded, end-to-end builder. You will work across device control, data pipelines, internal tools, and interfaces to create software that scientists, engineers, and models rely on daily to operate, monitor, and reason about complex, time-evolving systems. This is a high-agency role. You will help define what software should exist, how it should be structured, and how it integrates with hardware and data — not just implement pre-defined tickets. • Full-stack software systems spanning UI, backend services, and data infrastructure, • Interfaces and internal tools used by scientists and engineers to operate, observe, and debug systems, • Backend APIs and services that support experimentation, control, and analysis, • Data pipelines for longitudinal, high-frequency, time-series data, • Integration layers between software, hardware, sensors, and control systems, • System reliability, observability, and failure handling for long-running processes, • Clean abstractions that make complex systems easier to reason about and extend You are someone who: • Operates with high agency — you see gaps across the stack and take ownership of fixing them, • Takes responsibility for end-to-end product outcomes, not just individual components, • Brings high energy to building robust, usable, real-world software, • Acts with high integrity — you care about correctness, reliability, and clarity, • Communicates directly and clearly, especially when tradeoffs or failures arise, • Is self-aware about your strengths and gaps, proactively fills them and open to feedback, • Thinks in terms of systems and interfaces, not just features or screens, • Degree in computer science, engineering, or equivalent practical experience, • At least 1 year of industry experience as a full stack software engineer, • Strong proficiency in modern frontend technologies (e.g. React, TypeScript, or similar), • Strong backend experience (e.g. Python, Go, Rust, Node, or similar), • Experience designing and maintaining APIs, services, and data models, • Comfort working with time-series data and stateful systems, • Ability to operate in fast-moving environments with incomplete requirements Strong Signals • Experience building internal tools or developer-facing products, • Experience interfacing software with hardware or physical systems, • Background in scientific computing, robotics, or infrastructure-heavy products, • Experience owning features from initial design through production deployment, • Competitive salary and meaningful equity, • Full benefits, • High-trust, high-ownership environment, • Rapid growth in scope and responsibility

#TeamNextdoor Nextdoor (NYSE: KIND) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at ___. Meet Your Future Neighbors As an iOS Platform Software Engineer at Nextdoor, you’ll join a small team of engineers dedicated to improving the iOS app infrastructure, streamlining developer processes, and maintaining stable and smooth app releases. As part of the Core Platform team, our mission is to create a delightful developer experience that empowers teams to build their features quickly and safely. We build paved roads so that product engineers can focus their efforts on building features that serve our neighbors and drive our business. We create infrastructure that makes the easy things work out of the box and the hard things possible. We build performance and scalability into the platform itself so that Nextdoor is safe and fast by default. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The Impact You’ll Make Our platform teams have high autonomy and are empowered to identify opportunities, lead cross-team initiatives, and drive their own roadmaps. You will work on improving developer experience through • Building infrastructure (ex. framework to allow engineers to efficiently build UI tests), • Improving codebase health (ex. automating dead code removal), • Ensure reliable and stable app releases by maintaining and enhancing release pipelines and processes, • Optimizing day-to-day developer activities (ex. building tools to eliminate repetitive manual tasks, optimizing pipelines), • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises, • Build in-person relationships with team members and contribute to Nextdoor’s company culture What You’ll Bring To The Team • 3 to 8 Years of experience in a Mobile Development role, • Expertise in Swift and Xcode IDE including the build system, • Robust knowledge of iOS development ecosystem as a whole including system libraries, • Experience with building complex, high-quality iOS applications, and strong knowledge of iOS app design principles, patterns, testing, and best practices, • Experience improving code health and architecture of an iOS codebase, • Experience managing build and automated release infrastructure. Proficiency with CI/CD Platforms: Bitrise, CircleCI, or other, • Improving development processes and tools. Proficiency with scripting, • Interest in learning Android build and release pipelines, • Strong collaboration and communication skills, both verbal and written Bonus Points • Python, Bash, Ruby, TypeScript, Kotlin, • Android Studio, Gradle, • Github, GQL, • Experience writing automated tests for iOS applications, • Experience with accessibility features on iOS, • Experience with the Combine and TCA frameworks Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography. The starting salary based in San Francisco and/or New York City for this role is expected to range from $185,000 to $230,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date. When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found ___.

A company is looking for a Full Stack Python Developer to support data analytics and visualization workloads for pharmaceutical development. Key Responsibilities Develop and enhance web applications and visualizations that support life science research Design and implement databases that power in

Key Responsibilities Take ownership of assigned backend features and services from development through deployment and support Develop backend APIs and services using Python and Django Collaborate with team members to design scalable solutions and meet delivery deadlines Required Qualifications

Key Responsibilities Design, develop, test, deploy, and maintain backend services using Python and serverless architectures Define and enforce best practices for writing maintainable functional-style code Collaborate with cross-functional teams to translate business requirements into scalable te

A company is looking for a Senior SDET / Python Automation Engineer to support large-scale, data-driven backend systems.Key Responsibilities Design, build, and maintain Python-based automation frameworks focusing on API and backend testing Develop automated test strategies for data-intensive syst

A company is looking for a Senior Full-Stack Developer (Python + React).

Key Responsibilities Design, develop, and maintain backend services for a marketing analytics platform Own backend features end-to-end, from technical design to production support Participate in architectural discussions and refactoring initiatives to support platform growth Required Qualificat

Key Responsibilities Design, develop, and maintain scalable web applications and services across the full stack Build backend services and APIs using Python or Node. SQL/NoSQL databases and AWS services Collaborate with product managers, designers, and engineers to deliver high-quality solutions

A company is looking for a Senior Data Developer to manage data workflows and develop ETL pipelines. Key Responsibilities Design, develop, and test data processing related tools and features Process datasets through data pipelines Write high-quality, clean, scalable, maintainable code Required Qualifications 5+ years of professional software development work experience 3+ years of experience with large Python codebases 3+ years of experience with large PHP codebases Experience with PostgreSQL and advanced relational database skills Experience with Docker

A company is looking for a Business Process Management Developer to design, develop, and implement BPM solutions remotely. Key Responsibilities Develop BPMN 2.0 based solutions to streamline business processes Collaborate with stakeholders to gather requirements and create scalable BPM workflows Conduct testing and provide ongoing support for BPM applications to ensure quality and performance Required Qualifications 3+ years of experience in BPM development with a strong understanding of BPMN 2.0 Proficiency in BPM tools such as Joget, Camunda, or Appian Familiarity with Agile methodologies and experience in cross-functional teams Knowledge of programming languages like Java, JavaScript, or Python is preferred Experience with web services and APIs for enterprise application integration is preferred

A company is looking for a Cursor Developer / AI-Driven Development Specialist. Key Responsibilities Design, build, and optimize AI-assisted development workflows Create and maintain prompt libraries and templates for engineering tasks Audit and validate AI-generated code for quality and compliance Required Qualifications Strong background in full-stack software development (JavaScript/TypeScript, Python, or Go) Proven mastery of Cursor or similar AI coding tools Solid experience in prompt engineering and AI-assisted workflows Deep understanding of software architecture and security best practices Experience with CI/CD systems and testing frameworks

A company is looking for an AI Developer to create AI/ML solutions for healthcare applications. Key Responsibilities Develop AI/ML solutions for healthcare applications Influence technical design and architecture for scalability and security Troubleshoot production issues and implement performance enhancements Required Qualifications Proficiency in Python and AI frameworks (TensorFlow, PyTorch) Experience with cloud platforms (Azure) Knowledge of LLMs, RAG systems, and generative AI Advanced degree in AI/ML or related field Experience with MLOps and containerization (Docker)

Job DescriptionHMBL is your premiere Talent Partner and Executive Search Solution. We were founded on the fact that technical recruiting is most fruitful via partnership --than it is transactional. We partner the most innovative, cutting-edge tech companies. HMBL stances its foundational values around transparency, overcommunication, and the desire to improve. We leverage best industry practices, historical and predictive data and AI to acquire the industry's top 5% of technical talent. Are you passionate about making the impossible possible? Are you interested in working with the best and brightest in the tech industry? Do you want to work on the front-lines of innovation? We have what you're looking for! Stay hungry. Stay HMBL. We're seeking a Founding Software Engineer for an early staged AI & LLM startup based in San Francisco.About the Role • Hands on experience developing technology using Python, • A builder of business logic with Web Framework such as Django and MySQL, • Experienced in Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms, • A developer that writes reusable, testable and efficient code, • An effective communicator at all levelsRequirements, • 3+ years of experience in developing/architecting large scale Web services, • Bachelors, Master or PhD in Computer Science or related fields from a top University, • Experience in databases, distributed systems, and backend performance measurement and optimization, • Experience in Python or other programming languages such as Go, Java, or C++, • Experience in web frameworks such as Django, • Experienced in MySQL, Redis, Elastic Search, Kafka, and Cassandra, • Good understanding of database internals like transactions and indexes. Experience in database schema design, • Experience in working on the AWS, • Wants ownership and impact and looking to own projects from end to end, • Substantial production server experience or equivalentEqual Opportunity Employer:We are an equal opportunity employer and value diversity at our company. We prohibit any form of workplace discrimination based on race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities

Job Description About Us: We are building a robust, scalable trading platform to serve high-traffic, latency-sensitive applications. Our infrastructure leverages state-of-the-art technologies to support real-time trading while providing unparalleled reliability and performance. Join us to shape the future of our platform and engineering culture. Job Summary: We are looking for a Senior DevOps & Platform Engineer to lead the design, implementation, and management of our AWS-centric infrastructure. You will play a pivotal role in maximizing the velocity of our product engineering team, ensuring platform scalability, reliability, and security. This is a high-impact role, combining elements of DevOps, Platform Engineering, and Site Reliability Engineering (SRE). You will champion best practices, shape the engineering culture, and ensure our platform is robust, efficient, and ready for the future. Key Responsibilities: Platform Engineering * Infrastructure Design: Architect and implement scalable infrastructure to support the deployment and management of our trading platform. * Developer Tooling: Build and maintain internal tools to streamline developer workflows, including advanced CI/CD pipelines. * Infrastructure as Code (IaC): Champion IaC practices using Terraform, CloudFormation, or Pulumi. • Core Services Management: Manage and optimize platform-critical services such as: NATS Cluster * RabbitMQ * AWS RDS PostgreSQL * Redis Cluster DevOps * Automation and CI/CD: Automate and optimize deployment processes to ensure seamless continuous integration and delivery. * Container Orchestration: Manage and scale containerized workloads using Kubernetes and Docker. * Cloud Optimization: Monitor and optimize cloud resource usage for performance and cost efficiency. Site Reliability Engineering (SRE) * Reliability Metrics: Define and maintain Service Level Objectives (SLOs) and Service Level Indicators (SLIs). * Monitoring & Observability: Implement observability tools and dashboards (e.g., Prometheus, Datadog, Grafana) for real-time system monitoring. * Incident Management: Lead incident response efforts, conduct root cause analysis, and implement actionable postmortem reviews. Infrastructure Management * AWS Expertise: Architect and manage cloud-based systems to handle high-traffic, latency-sensitive applications. * Disaster Recovery: Implement robust disaster recovery and business continuity strategies, including backups and multi-region failover. * Security Practices: Collaborate with security teams to enforce best practices for IAM, encryption, and compliance. Collaboration & Leadership * Cross-Team Collaboration: Partner with software engineers to design infrastructure solutions tailored to their application needs. * Culture Building: Help shape the engineering culture, promoting a philosophy of security, velocity, and reliability. * Mentorship: Mentor junior engineers and document best practices to drive knowledge sharing and operational excellence. Long-Term Tech Evolution * Backend Transition: Contribute to evolving our backend microservices (currently NodeJS, with some Python and C#) towards Go and Rust. * Third-Party Integration: Evaluate and integrate critical third-party software and infrastructure, such as payment gateways and mobility stacks. Your Impact: * Simplify infrastructure concerns for product teams to accelerate builds, deployments, and scaling. * Advocate for modern practices like Zero Trust Networking and continuously improve platform architecture. * Balance the demands of product velocity with a well-managed, secure, and scalable platform. Required Skills & Experience: Technical Expertise * Cloud Experience: 5-8+ years of hands-on experience with cloud platforms, particularly AWS, including services like EC2, RDS, S3, Lambda, and VPC. * Containerization: Proficiency with Docker and Kubernetes (EKS) or ECS. * Infrastructure as Code (IaC): Strong experience with Terraform, CloudFormation, or Pulumi. * Programming Skills: Proficiency in at least one programming language (e.g., Python, Go, TypeScript/JavaScript, Ruby, Java). DevOps & SRE * CI/CD Pipelines: Expertise in building and maintaining CI/CD workflows using tools like GitLab CI, Jenkins, or GitHub Actions. * Monitoring Tools: Experience with observability platforms (e.g., Prometheus, Datadog, Grafana). * Incident Management: Proven ability to handle incident response, root cause analysis, and postmortem reviews. Soft Skills * Problem-Solving: Ability to research, design, and deliver solutions to complex infrastructure challenges. * Collaboration: Experience working directly with product engineers to improve workflows incrementally. * Leadership: Ownership mindset with the ability to mentor team members and advocate for best practices. Preferred Skills (Nice-to-Have): * Familiarity with backend languages like Go or Rust. * AWS certifications (e.g., Solutions Architect, DevOps Engineer). * Experience with networking concepts (e.g., load balancers, DNS, VPNs) and traffic optimization. * Knowledge of emerging CNCF technologies and CI/CD trends. What We Offer: * Competitive salary with future equity options * Opportunities to work with cutting-edge technologies and evolve our platform. * Flexible working hours and a remote-friendly environment. * Professional growth through certifications, conferences, and internal training. * Collaborative culture focused on innovation and operational excellence.

Job Description As a Full Stack Developer, you will be at the center of our development efforts, driving innovative web solutions that enhance user experience and meet business goals. You'll work with cross-functional teams to deliver high-quality software applications while being engaged in both backend and frontend development. Your contributions will directly impact the functionality and performance of our products. Key Responsibilities: • Design, develop, and maintain web applications across the full stack, ensuring robust functionality and an engaging user interface., • Collaborate with designers and product managers to translate requirements into technical specifications., • Implement RESTful APIs and manage database schemas to optimize application performance., • Write clean, maintainable, and efficient code while adhering to best practices and coding standards., • Perform testing and debugging to ensure the reliability and stability of applications., • Optimize applications for maximum speed and scalability., • Stay updated with emerging technologies and industry trends to continuously improve development processes., • Participate in code reviews and provide constructive feedback to team members. Requirements • Bachelor's degree in Computer Science, Software Engineering, or a related field., • 3+ years of experience in full stack development with a strong proficiency in frontend and backend technologies., • Proficiency in frontend languages such as HTML, CSS, and JavaScript, and frameworks such as React, Angular, or Vue.js., • Experience with backend technologies like Node.js, Python, or Ruby and familiarity with web frameworks (e.g., Express, Django)., • Solid understanding of database management systems, including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases., • Familiarity with version control systems, like Git, for collaboration and code management., • Strong problem-solving skills and ability to work collaboratively in a team-oriented environment., • Excellent communication skills to articulate complex concepts to technical and non-technical stakeholders., • Paid Time Off (Vacation, Sick & Public Holidays), • Training & Development, • Work From Home, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Stock Option Plan, • Wellness Resources, • Free Food & Snacks, • Family Leave (Maternity, Paternity)

Job Description Forhyre is looking for engineers who can bring unique perspectives and innovative ideas to all areas of development and are interested in continuing to improve our platform through the ever-changing technology landscape. To be successful in this role • You'll have the opportunity to design and implement major infrastructure components, systems, and developer-friendly capabilities to improve the availability, scalability, latency, and efficiency of our services, • You will provide technical leadership to cross-functional engineering, infrastructure, and product teams, and evangelize cloud best practices while building a culture of reliability and observability, • Engage in and improve the end to end lifecycle of software development--from inception and design, through deployment, operation and refinement of a highly distributed system running in public cloud, • Serve as subject matter expert in an SRE mindset, best practices, and cloud-native principles, • Scale systems sustainably through automation to improve reliability and velocity, • Assist with all aspects of operational security and compliance, • Run software performance analysis and system tuning, • Design and implement tools to collect data from various sources and provide actionable insights, • Participate in critical incident management and timely post-mortems of production incidents to drive practices around blameless analysis, resolution, and continuous improvement work with cross-functional teams Develop the rest of the team by conducting code reviews, providing mentorship, pairing, and training opportunities Qualification & Skills • We are looking for Principal SRE with proven experience in running distributed systems at scale, in production, • You have 15+ years of experience in relevant skills gained and developed in the same or similar role, • Strong knowledge of container orchestration, preferably Kubernetes and networking technology, • Hands-on experience in one or more languages, such as Node JS, Python, Go, Perl, Ruby, and Bash, • Experience with SOA, Microservices architecture, API Management & Enterprise system Integrations, • Strong production experience with cloud infrastructure, AWS, Azure & Google Cloud, • Strong sense of ownership, and an ability to drive tasks to completion, • Experience developing and monitoring distributed systems, • Experience working in an Agile Environment with great collaboration skills

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. We are seeking a highly skilled Staff Infrastructure Security Engineer to architect, deploy, and operationalize the foundational security services that will underpin our shift to a Zero Trust model. In this strategic role, you will define and establish the "roots of trust" for our organization, serving as a technical leader in Secrets Management and Identity architecture. While your immediate focus is to serve as the Subject Matter Expert (SME) driving our enterprise HashiCorp Vault platform from Proof-of-Concept (PoC) to global production readiness, your long-term scope is far broader. You will be responsible for evolving our credentials management strategy, onboarding engineering teams to secure self-service workflows, and designing scalable trust patterns across our hybrid multi-cloud environment. Key Responsibilities 1. Strategic Architecture & Governance * Zero Trust Architecture: Architect a highly available, disaster-resilient, and scalable multi-cluster secrets management platform that serves as the foundation for the organization’s Zero Trust strategy. * Technical Leadership: Drive consensus across Cloud Engineering, DevOps, and SRE teams to define standardized secret management workflows and integrate security patterns into the SDLC. * Compliance & Governance: Ensure the platform design meets rigorous internal policies and external compliance frameworks (e.g., SOX, ISO 27001). * Policy as Code: Design and implement advanced governance controls, including Sentinel Policy as Code, to automate security guardrails and access decisions. 2. Platform Engineering & Implementation * Infrastructure as Code (IaC): Lead the engineering of the Vault infrastructure using Terraform, ensuring all deployments are reproducible, version-controlled, and automated. * Identity Integration: Architect the integration between the secrets platform, Identity Providers (Okta), and workload identities (Kubernetes Service Accounts) to establish robust machine-to-machine authentication. * Advanced Secrets Capabilities: Configure and tune essential secrets engines (KV, Transit, KMIP) and Enterprise features (Performance Replication, Seal automation) to support diverse engineering use cases. 3. Operational Excellence & Developer Enablement * Vault as a Service (VaaS): Operationalize the platform by building self-service mechanisms, distinct "paved road" onboarding procedures, and documentation that allows engineering teams to easily consume security services. * Observability: Implement comprehensive monitoring, alerting, and audit logging to ensure platform health, provide visibility into usage patterns, and satisfy audit requirements. * Lifecycle Management: Own the full operational lifecycle of the production environment, including patching, version upgrades, backup/restore procedures, and incident response runbooks. Required Qualifications * 6+ years (or equivalent) hands-on experience in cloud security, DevOps, or infrastructure engineering. * Deep expertise and proven track record deploying and managing HashiCorp Vault in an enterprise environment (experience with the Enterprise edition is highly preferred). * Expert-level knowledge of Secrets Management, X.509 PKI (Public Key Infrastructure), Certificate Authority Operations, and Cryptography concepts. * Strong experience with Google Cloud Platform (GCP) and cloud native identity and access management (IAM). * Proficiency with Infrastructure as Code (IaC) tools, especially Terraform, for automating the deployment and configuration of Vault and its dependent infrastructure. Technical Skills * Fluent in at least one programming language (ideally Go or Python). * Demonstrable experience with Kubernetes and container security principles, especially integrating secrets into microservices architectures. * Strong understanding of network security concepts (IP addressing, IP routing, firewalls, segmentation, Zero Trust). 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 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 The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. This is a product-engineering role: not "build what you're told," but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business. About the role We're hiring a Senior Full-Stack Engineer with product vision. You'll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy. You'll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable. Responsibilities • Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server., • Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast., • Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration)., • Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones., • Keep UIs accessible and responsive; add solid error-handling and failure-mode UX., • Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns., • Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes., • Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience., • Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase. What you'll bring • Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL)., • Strong product sense: you've made scope/trade-off decisions and iterated based on real-world usage and feedback., • Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns., • Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns., • Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well., • Nice to have: GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience. Our stack Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis. How we build Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support. How we work At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues. After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows. Location & Compensation At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above. It's an exciting time at HumanSignal. We're growing quickly, and roles evolve as we learn. We've put thought into your first initiatives, but we'll refine them together. If this sounds exciting, come build with us.

Job Description We are seeking a highly skilled and experienced Consultant NodeJS with AWS (cloud) to join our team. The ideal candidate will have a minimum of 8 years of professional experience as an UI Developer and experience in Java Backend +Node JS +AWS or Fullstack + Node JS + AWS kind of profiles. As a Consultant NodeJS with AWS (cloud), you will be responsible for developing, implementing, and maintaining software solutions using NodeJS and AWS cloud technologies. You will work on a variety of projects and collaborate with cross-functional teams to design and develop high-quality software solutions that meet the needs of our clients. Essential Skills: • Minimum 8 years of professional experience as an UI Developer, • Strong experience with NodeJS, ReactJS and ExpressJS, • Proficient in programming language: Python or Java, • Experience with other Java technologies such as JSF framework, AJAX, Spring application framework, Hibernate object/relational persistence, JavaScript, HTML 5, and CSS 3, • Unix shell scripting is preferred, • Ability to work in Agile sprint teams To apply, please submit your resume and cover letter detailing your experience and qualifications for this position.

Job Description At Pylon, we're a small team building a very ambitious product in the mortgage space. At this early stage, we're looking for engineers who can see the opportunity of what we're building towards and want to have a hand in building it. We're in search of people who find difficult problems invigorating and who fit well into a high-performing team built on mutual respect and reliance. If you like pushing yourself to learn a massive amount while shipping code that has a huge impact on the end product, Pylon Engineering could be a great place for you. About the Job You'll own reliability and operational excellence for Pylon's production systems. This means designing and implementing monitoring, alerting, and incident response processes that scale as we grow. You'll build tooling that makes the entire engineering team more effective, establish on-call rotations and runbooks, and ensure our platform can handle the demands of a regulated, high-stakes financial product. This is not a pure ops role. At Pylon, we believe SRE work should be a maximum of 50% operational toil. If you're spending more than half your time firefighting and keeping things running, you're not doing SRE work, you're doing sysadmin work. The other 50%+ of your time should be spent writing code: building infrastructure tooling, automating away operational burden, making reliability improvements to core services, and creating internal developer productivity tools that make the entire team more effective. SRE is about making things better, not just keeping them alive. We're looking for someone who has operated production systems at scale in a professional engineering environment. You know what good looks like because you've built it before. What We're Looking For Must-haves: * 4+ years experience in SRE, infrastructure, or platform engineering roles * Experience working on a team of SREs at a company with mature SRE practices (not solo SRE roles) * Real on-call experience at scale in a large production environment (you've carried the pager and lived through incidents) * Deep AWS expertise (ECS, RDS, networking, security) * Strong experience with declarative infrastructure (Terraform, CDK, or similar) * Nix experience (we use it and want to expand its adoption) * Track record of building reliability tooling and automation * Can design and implement monitoring, alerting, and observability systems from first principles * Comfortable working in a regulated environment where "breaking things" is not an option Nice-to-haves: * Experience at companies with strong SRE cultures (Google, Replit, Stripe, etc.) * Background in fintech, healthtech, or other regulated domains * Experience migrating monitoring systems or implementing SLOs * Contributions to infrastructure tooling or open source projects Basics * Job title: Senior Site Reliability Engineer * Stock options: own a piece of the company and we all win together * Health insurance, 401K, dental, etc. Our technology stack: We don't require that you've worked with any of these technologies before, this is just our stack for your information: * Infrastructure: AWS (ECS, RDS, CloudFront, Lambda), CDK for infrastructure-as-code * Observability: Honeycomb, OpenTelemetry * CI/CD: GitHub Actions, Nix for builds and dev environments * Core platform: TypeScript/Node backend, PostgreSQL, React frontend * Languages: TypeScript, Python, Nix, SQL About you You: Have operated production systems at scale. You've been on-call for a large, complex system. You know what 3am pages feel like and you've built systems to prevent them. You understand the difference between alerts that matter and noise. Write code, not just YAML. You can build internal tools, automation, and reliability improvements. You're comfortable contributing to the core product when reliability requires it. You can read and understand the codebase you're responsible for keeping up. Think in systems. You understand distributed systems, failure modes, cascading failures, and graceful degradation. You can diagnose production issues quickly and know when to escalate vs. when to fix. Know your tools deeply. You've used observability platforms at scale and understand how to instrument systems properly. You can design alerting that has high signal and low noise. You know AWS inside and out. Have strong opinions that you're willing to defend. We have a culture of vigorous discussion and debate on technical decisions. We'll push you to defend your choices, and we want you to push back. Don't settle. Challenge yourself to frequently and consistently deliver exceptional work. If something could be more reliable, take the initiative to improve it. Have great ideas, and lots of them. You should see opportunities all around you to make the infrastructure, tooling and processes better. We'll give you an environment where you can act on those ideas. Are self-motivated. You can take a goal and drive towards it without needing extensive hand-holding. The team is supportive and loves to share knowledge and advice, but there's no time for micromanaging your work. Are comfortable with ambiguity. There's a million ways to do things; you should feel at ease making a decision under uncertainty while balancing competing constraints. Are confident you can learn quickly. Mortgage is complex, our platform is complex, good SRE work is complex. You've got to have an attitude that you can absorb it, get on top of it, and build something better than what came before. Care about developer experience. Your work enables the entire team to ship faster and more confidently. You think about how to make the whole organization more effective. About the TeamWhat we're not: Building a CRUD app: * We're building a platform that's only possible due to deep technology investments and thinking hard from first principles. Cargo-culting what's come before won't be sufficient. * If you're looking to do mostly plumbing / lego piece assembling, Pylon may be very frustrating for you A ChatGPT wrapper: * Mortgage is a sprawling mess of problems, and there isn't one tool that solves every one of them. We use LLMs, but we've reached for tools in multiple disciplines like mixed-integer linear optimization and programming language research. An easy job: * We're building a lot of things from the ground up for the first time. Working at Pylon is like a research project where you have to ship to intelligent, opinionated customers regularly. * You'll be on-call and responsible for systems that handle real money and real people's mortgage applications. * It's basically guaranteed you'll be handed a task that is too difficult for you to do. You might fail sometimes. You might have no idea where to start. Our team leans heavily on each other, but there's no getting around the difficulties. What we are: A small team: * We don't have an army of engineers. If you find something is broken, you are probably the best one to fix it * All the code we write has to punch above its weight in maintainability and toil reduction * If you have a good idea, you have much more ability to put it into action than at a large company * We need generalists: specialization is for big companies that already have everything figured out. If you're smart, flexible and like getting into everything, we want you. Working in a regulated space: * Mortgage is regulated both federally and at the state level. * We move fast, but breaking things isn't an option. About Pylon The $13 trillion mortgage industry at the core of the American economy runs on broken assembly lines with human-powered workflows, stitched-together software, and a series of capital markets intermediates. The costs to originate are at an all time high despite foundational shifts in foundational technology. Pylon is rewiring mortgages from the ground up. We are building the only API-first, programmatic infrastructure that fully automates credit, compliance, capital, and operations. For the first time, originators can build and scale mortgage businesses entirely through software, not people. Our team comes from Stripe, Better, and Affirm, and we are backed by Conversion Capital, QED, Citi, Fifth Wall, Peter Thiel, and the founders of Ramp, Mercury, Blend, and others.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: We’re hiring a Staff Platform Engineer – Database Systems to be a core member of our Platform Engineering team. You’ll contribute across the full infrastructure stack while bringing deep expertise in database systems, performance optimization, and data reliability. This role reports to the Senior Director of Technical Infrastructure. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Platform Reliability & System Resilience: Develop, test, and implement infrastructure automation and tooling to maintain 99.95% availability under peak load. Build self-healing capabilities, optimize resource utilization across Kubernetes clusters (GKE), and contribute to platform-wide resilience initiatives, • Database Performance & Operations: Serve as the team’s database expert, diagnosing and resolving performance issues across Cloud Spanner, PlanetScale MySQL, and BigQuery. Conduct query analysis, implement indexing strategies, and optimize connection pooling to maintain sub-100ms p99 latency, • Caching & Data Access Layer: Design and implement caching strategies using Memorystore (Redis/Memcached). Build high-volume connection management systems (in Go or Python) that efficiently handle database and cache access patterns under sustained load, • Infrastructure as Code & Automation: Manage platform infrastructure using Terraform and Kubernetes. Build automation that improves developer velocity, reduces MTTR, and enables safe, self-service infrastructure operations, • Observability & Operational Excellence: Design and deploy instrumentation within Datadog for monitoring databases, caches, and platform services. Use post-incident analyses (e.g., Jeli) to reduce operational toil and improve service reliability, • Architectural Consulting & Standards: Partner with Product Engineering teams to review designs, define SLOs, optimize data access patterns, and ensure new services are resilient and operable before production deploymentWhat you bring to the table:, • 5–8 years of hands-on database engineering experience in production environments handling significant scale (thousands of RPS or more), • Strong software engineering foundation — you write production-quality code, design scalable systems, and can reason about distributed systems tradeoffs, • Deep MySQL expertise (replication, sharding, query optimization, connection management); PlanetScale experience a plus, • Multi-database proficiency with Cloud Spanner, Postgres, and/or BigQuery, • Production experience with in-memory caches (Redis, Memcached, or Valkey), • Kubernetes (GKE preferred) and Terraform experience for infrastructure as code, • Strong coding skills in Python or Go for automation, tooling, and platform services, • Hands-on experience with GCP database services (Cloud Spanner, Cloud SQL, Memorystore, BigQuery) and monitoring platforms like Datadog, • Strong understanding of backup/recovery, HA patterns, and incident responseBonus points if you have:, • Experience with Vitess or PlanetScale MySQL, • Knowledge of Istio service mesh and database connection management patterns, • Experience with data streaming platforms (Kafka, Pub/Sub)Compensation, Benefits & Perks, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $195,000 – $260,000, depending on location and experience, as well as company stock options, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401(k) plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionBenefits: JOB TITLE: Sr. System Integration Developer (Temp Contract) OPENINGS: 1 START DATE: May of 2026 WORK LOCATION: Remote (located in the USA REQUIRED) CLIENT LOCATION: San Francisco DURATION: 3 years HOURLY RATE: $95 JOB DESCRIPTION 1. MUST BE LOCATED IN THE USA, 2. Developing and integrating system components using Python for backend services and automation tasks., 3. Designing and implementing business processes using Oracle BPEL (Business Process Execution Language) to support enterprise-level workflows and service orchestration., 4. Collaborating with City technical staff to ensure seamless integration between existing systems and new components., 5. Supporting testing, deployment, and documentation of integration solutions in alignment with City IT standards and security policies. REQUIRED QUALIFICATIONS • The Candidate must demonstrate the following qualifications to be considered for this engagement:, • Relevant Oracle product stack including Oracle SOA Suite and expertise in software development using Python, including data modeling and migrations, system integration, and advanced business process using Oracle BPEL (Business Process Execution Language)., • Proven experience in Oracle SOA Suite development and integration, particularly with BPEL (Business Process Execution Language)., • Expert-level knowledge of Oracle WebLogic Server administration, including configuration, deployment, and performance tuning., • Strong background in Oracle database administration and PL/SQL development., • Proficiency in Python for API, backend development, data processing, and ETL workflows, JSON, XML, CI/CD., • Experience working in collaborative Agile environments, including participation in sprint planning and code reviews., • Experience with modern data architecture, including data pipelines, analytics, and data services, • Familiarity with Agile/Scrum or ITIL methodologies, • Proficiency in event-driven programming using Python, • Strong database design and schema development skills, • Advanced SQL and PL/SQL development experience, • Experience with Oracle BPEL, Web Services, JSON, XML, ActiveMQ, and Microsoft Message Queue, • Proficient in Git version control and CI/CD tools, • Experience with Oracle database administration and middleware technologies, • Strong debugging, unit testing, and documentation skills, • Experience with Windows Server (20032016) and Linux environments, • Ability to work effectively in high-pressure environments and collaborate with cross-functional teamsPLEASE NOTE: More project details will be provided This is a remote position.

Job DescriptionAbout GoodLeap:GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $27 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. The Sr. Capital Markets & Credit Analytics Analyst is a core contributor to GoodLeap’s capital markets performance, capital strategy, and underwriting execution. This role blends quantitative analysis, credit modeling, and financial insight to support data-driven decisions across GoodLeap’s suite of lending products. The role requires exceptional attention to detail, comfort working with complex datasets, and ability to translate analytical findings to inform capital market behavior and optimize credit and operations strategy.Essential Job Duties and Responsibilities: • Analysis: Develop, refine and optimize credit and underwriting strategies across GoodLeap’s product lines, aligned with investor guidelines, regulatory expectations, and internal strategy. Perform portfolio analytics to evaluate performance trends, risk patterns and segmentation outcomes. Produce data-driven dashboards, research reports and presentations for senior stakeholders and external partners., • Market Research: Analyze macroeconomic trends, competitive benchmarks, and capital market indicators to inform policy and capital strategy. Monitor regulatory developments and policy developments impacting consumer lending and integrate relevant updates into analytical workstreams., • Cross-functional Engagement: Serve as primary point of contact for policy questions, exception review insights, and investor driven guideline questions. Partner with Treasury, Risk Management, and Business Intelligence to maintain high data integrity, audit trails and consistent documentation., • Financial Modeling: Build and maintain financial and credit risk models for valuation, forecasting capital transactions and scenario simulations., • Credit Delivery: Be tactical product owner for credit policy execution, including signing off on QA/UAT testing and releases. Translate credit changes into decision logic for credit engine and operational workflows.Required Skills, Knowledge and Abilities:, • Minimum bachelor's (or advanced) degree, • 4–6 years of experience, • Strong proficiency in SQL and Python; familiarity with Tableau is a plus, • Expert in Microsoft Excel (advanced functions, modeling, automation) and PowerPoint, • Experience with cloud or distributed computing environments (e.g. Databricks, Snowflake) is a strong plus, • Foundation in consumer credit analytics—credit bureaus, scorecards, risk segmentation, loan lifecycle, and credit performance metrics, • Ability to work across simultaneous projects and tight deadlines in an agile, fast-paced environment, • Exceptional attention to detail, intellectual curiosity, and eagerness to learn new analytical tools and credit concepts, • Knowledge of consumer finance concepts, including credit risk modeling, loan lifecycle, and performance metrics, • Strong communication skills—capable of simplifying technical findings for diverse audiences (executives, investors, engineers)

Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. This is a product-engineering role: not "build what you're told," but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business. About the role We're hiring a Senior Backend Engineer with product vision. You'll design and operate services in Python/Django that power labeling and evaluation workflows at scale: clean API contracts, robust data models, efficient background jobs, and dependable performance. You'll partner early with PM/Design/FE to frame problems, prototype to learn, and make pragmatic scope calls—so complex workflows feel simple, reliable, and fast for users. Responsibilities • Design, build, and operate backend services/APIs in Python/Django with Postgres/Redis., • Own outcomes, not tasks: refine scope, suggest trade-offs, and land increments that deliver value quickly and safely., • Model data and author migrations; tune queries and caching; manage background jobs/queues for high-volume workflows., • Evolve API contracts with FE; keep interfaces clear, versioned, and resilient to change., • Improve reliability and performance (timeouts, retries, idempotency, rate limits, pagination, backpressure)., • Implement secure, multi-tenant patterns: auth, permissions/RBAC, auditability, and safe data boundaries., • Contribute to testing strategy (unit/integration), error handling, and graceful failure modes., • Partner with Support to investigate production issues and turn learnings into fixes and prevention., • Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience., • Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase. What you'll bring • Senior-level experience shipping production backends in Python/Django (or a close equivalent) and SQL., • Strong product sense: you've made scope/trade-off decisions and iterated based on real-world usage and feedback., • Depth in REST API design, relational modeling, migrations, and performance tuning., • Experience with background processing/queues (e.g., Celery/RQ/Kafka-backed workers) and operational concerns., • Clear written communication at a Senior IC level—concise RFCs/PRDs, actionable reviews, and crisp decision records., • Nice to have: GraphQL familiarity; Kafka/streaming; Spark/BigQuery; security/compliance exposure; multi-region architectures. Our stack Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis. How we build Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support. How we work At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues. After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows. Location & Compensation At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above. It's an exciting time at HumanSignal. We're growing quickly, and roles evolve as we learn. We've put thought into your first initiatives, but we'll refine them together. If this sounds exciting, come build with us.