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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 Description Member of Technical Staff – Product Engineer (Hybrid | San Francisco, CA) About the Job Join a high-impact AI team at a pivotal moment. In this hybrid San Francisco–based role, you’ll help build the foundation of a new generation of intelligent developer tools — from backend systems to elegant user interfaces. This is a rare 0→1 product opportunity with massive influence on both technology and product direction. What’s in it for you? • $170,000 – $350,000 base salary, • Equity in a $200M+ funded, high-growth AI company, • Hybrid work model – 5 days/week onsite for the first 2–3 months, then 3+ days onsite, • $250 monthly lifestyle stipend, • Generous personal development budget for coaching, courses, and conferences, • Daily team lunches and frequent offsites, • Flat structure with bi-annual compensation reviews and raises tied directly to impact, • Join a small, elite engineering team with backgrounds in leading AI, systems, and devtools companies What You’ll Be Doing: • Build and iterate on product features across the full stack — from front-end UX to backend logic., • Conduct user interviews to identify core needs and translate insights into product improvements., • Rapidly prototype new ideas and experiment with novel user experiences., • Ship high-quality code across multiple environments (web, CLI, IDE)., • Collaborate closely with designers and product leads to define and shape the product roadmap., • Exercise judgment on what matters most — balancing velocity, reliability, and impact. What You’ll Need: • 2+ years of professional software engineering experience (startups or top-tier engineering teams), • Proven experience with React, TypeScript, and Python, • Strong intuition for great product design and user experience, • Demonstrated ability to build 0→1 — early-stage startup or founder experience a plus, • Excellent problem-solving skills and technical judgment, • Comfortable with ambiguity and capable of working independently, • Passion for building tools that empower developers and improve how people code Ready to Make an Impact? Help shape the next wave of intelligent software creation — where AI empowers developers, not replaces them.

Job Description Note for all engineering roles: With the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them. About Us People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL's workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more. We are looking for individuals who can balance extreme ownership with a "one-team, one-dream" mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team. Our Delivery and API Team ensures our customers have access to standardized and high-quality data to build upon. You will be crucial in accelerating our efforts to build standalone data products that enable data teams and independent developers to create innovative solutions at massive scale. In this role, you will be working with a team to continuously improve our existing APIs and delivery methods, as well as creating new ones. If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for direct contributions, this might be the role for you. We like our engineers to be thoughtful, quirky, and willing to fearlessly try new things. Failure is embraced at PDL as long as we continue to learn and grow from it. Roles and Responsibilities • Drive our self-serve product offerings to bring prospective customers into our products and grow new revenue, • Drive the core tools that our customer success team uses to support our customers, • Understand and translate our business requirements into the systems that support our core business activities, • Proactively work with stakeholders to clarify ambiguities in business operations and system design, • Design and update our systems using good design patterns on both frontend and backend, which allow for extensibility and evolution as our business evolves, • Ensure the integrity (correctness and accuracy) of data captured around key business activities so that we have a reliable source of truth on our operations, • Build and maintain our frontend components, design, and architecture, • 5-7+ years of industry experience with clear examples of strategic technical problem-solving and implementation, • Strong software development fundamentals, • 4+ years of experience with React.js with Typescript, • Experience with Next.js (or other React.js frontend frameworks), • Experience with Vercel (Nice to have), • Experience with frontend testing frameworks and practices, • High attention to detail coupled with a strong understanding of CSS fundamentals; experience using Tailwind CSS, • Experience refining designs with UI/UX designers and while meaningfully contributing to the design and asserting a customer-centric perspective, • Experience building and maintaining a UI component library, • Experience working with Figma or similar UX design tools, • 3+ years of experience with Python in a production environment, • REST API design and backends such as Node.js, Django, FastAPI, Flask, Rails or similar (note: we are a Python shop primarily), • Must thrive in a fast-paced environment and be able to work independently, • It's no sweat to scope, breakdown, and estimate projects effectively with a solid track record of delivery, • You communicate progress and blockers effectively with your manager, team, and stakeholders, • Strong written communication skills on Slack/Chat and in documents, • You collaborate well across engineering, design, and product management, • Experienced in writing technical design docs and translating technical design documents into projects, milestones, and backlogs, • Experience mentoring and developing engineers, • Stock, • Competitive Salaries, • Unlimited paid time off, • Medical, dental, & vision insurance, • Health, fitness, and office stipends No C2C, 1099, or Contract-to-Hire. Recruiters need not apply. People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. #LI-Remote Personal Privacy Policy for California Residents

Job Description Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that's growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a singularly creative and energetic engineer to spearhead our Acceleration team as its founding tech lead. We are revolutionizing the way people navigate the internet and the wider world. To continue building best-in-class products, we are reimagining how our company and our teams operate. Just as Perplexity is heralding an agentic future for the internet, you will lead our company in making the best use of AI tools and agents to multiply the leverage of our lean, mission-focused teams. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Tomorrow's AI technology will be even more capable, and the Acceleration team will lead both software and process engineering to harness AI so that the company can deliver at maximum velocity. The ideal candidate will possess sound technical judgment forged in the trenches of internet-scale companies, paired with voracious use of today's most advanced AI tools/models and a capacious imagination to rethink how work gets done in the leading companies of tomorrow. They will provide hands-on technical leadership in a hybrid role that marries facets of AI product development, infrastructure/platform engineering, developer experience, and more. Responsibilities • Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity's delivery cadence with frontier AI capabilities., • Develop empathy for the nuances of our technical and business teams' work across disciplines and verticals, toward collaborating with them to harness AI in new ways., • Make our codebases, systems, and knowledge stores legible to AI., • Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents., • Keep abreast of new AI tools/models and make maximally effective use of them in your own work, setting an example across the company and inspiring others to do the same., • Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default., • Work with engineering leadership, recruiting, and others to ensure we instill an AI-forward culture and select for those who will thrive in such an environment., • 6+ years of industry experience, ideally with a substantial portion focused on infrastructure/platform engineering or developer acceleration at companies with millions of users and hundreds or thousands of engineers., • Daily use of AI models/tools, along with strong intuition on their jagged frontiers., • Proficiency with Python and working fluency with Typescript., • Strong understanding of (and empathy for) the work of technical staff across disciplines, along with an enthusiasm to learn about the work of business and operations teams., • Broad working knowledge of the typical stacks used by AI product & applied research companies. (For example: you don't need to have experience hand-rolling CUDA kernels, but you should know what CUDA is and when/where/why it's used.), • An obsession with improving the legibility of (and reducing brittleness in) both software and human-orchestrated processes. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

Job DescriptionSalary: Role: Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our premier client. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: • Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions., • Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring., • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions., • Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences., • Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement., • Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency., • Conduct exploratory data analysis to extract valuable insights and influence strategic decisions., • Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks., • Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: • Degree in Computer Science, Engineering, Statistics, or a related technical field., • Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains., • Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings., • Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems., • Strong foundational understanding of algorithmic complexity and data structure optimization., • Excellent problem-solving, collaboration, and communication abilities., • Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI., • Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions., • Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects., • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn)., • Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures., • Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices., • Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team., • Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: We are building Crusoe’s next-generation cloud orchestration platform, centered on Kubernetes at scale. As a Senior Software Engineer on the Managed Orchestration team, you’ll design and deliver features that power Crusoe’s managed Kubernetes service, enabling high-performance workloads on CPUs and GPUs in distributed environments. This role requires deep technical expertise in distributed systems, Kubernetes internals, and modern cloud-native architectures. You’ll work closely with teams across GPUs, Networking, and Storage to build a reliable, scalable, and secure orchestration layer for customers running mission-critical workloads. What You'll Be Working On: * Architect, build, and operate features for Crusoe’s Managed Kubernetes platform (control plane, autoscaling, cluster lifecycle, upgrades, multi-tenancy). * Integrate and optimize GPU workloads within Kubernetes clusters, including device plugins, GPU operators, scheduling, and monitoring. * Enhance container networking through advanced CNI integration (Cilium, Calico, Multus) and support for high-performance networking (InfiniBand, RoCE). * Improve reliability and resilience of Kubernetes clusters, including HA control planes, node lifecycle management, and self-healing mechanisms. * Contribute to open-source and internal tooling that enhances observability, automation, and cluster security. * Participate in design reviews, provide mentorship to engineers, and help set long-term technical direction. * Troubleshoot complex distributed systems problems spanning containers, GPUs, and networking. What You'll Bring to the Team: * 5+ years of software engineering experience in distributed systems, cloud, or infrastructure. * Deep understanding of Kubernetes internals (control plane, scheduling, operators, controllers, API machinery). * Strong proficiency in Go (preferred) or similar languages (Rust, C++, Python for systems work). * Experience with container networking (CNI plugins, service mesh, load balancing) and Linux networking fundamentals. * Exposure to GPU workloads in Kubernetes (device plugins, GPU operators, scheduling, autoscaling). * Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure automation (Terraform, Helm, GitOps). * Strong debugging and performance optimization skills for distributed systems. * Passion for building reliable, developer-friendly platforms that abstract complexity for customers. Bonus Points * Familiarity with NVIDIA and AMD GPUs, device plugins, and operators for GPU lifecycle management. * Knowledge of network operators and CNI implementations (Cilium, Calico, Multus). * Experience with high-performance networking technologies (InfiniBand, RoCE). * Contributions to Kubernetes SIGs, CNCF projects, or related open-source communities. * Experience with Slurm, MPI, or HPC-style job schedulers. * Familiarity with service meshes (Istio, Linkerd) and multi-cluster networking. * Background in security for containers, GPUs, and Kubernetes (PodSecurity, RBAC, runtime scanning). Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation Range: Compensation will be paid in the range of $166,000 - $201,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionWe believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid’s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid’s engineering teams to move quickly and safely. You’ll work cross-functionally with product engineering squads to ship new features and ensure operational excellence throughout each product’s lifecycle. Responsibilities: • Design & Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability. You will create and evolve distributed backend systems that serve as the bedrock for products used by millions of users., • Infrastructure & Data Platforms: Develop and improve infrastructure for data storage and processing – for example, high-performance databases and modern data processing frameworks – to handle Plaid’s growing data and product needs. Ensure our data infrastructure is robust and can scale effectively., • Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency. This includes building CI/CD pipelines, observability and monitoring systems, and self-service infrastructure platforms that enable teams to ship code quickly and safely., • Security & Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data. Work closely with Security and Privacy teams to ensure our infrastructure and internal services meet high standards for data protection and regulatory compliance., • Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities. Facilitate smooth integration of platform solutions into various products, and coordinate across teams to resolve issues and deliver new features efficiently., • Technical Excellence & Leadership: Uphold high engineering standards through code reviews, testing, and documentation. Take initiative in setting technical direction and architecture for platform systems, and mentor junior engineers to help grow their skills. You will lead by example in driving best practices and continuously improving the quality of our engineering solutions. Qualifications:, • Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms. Experience designing and scaling distributed systems is highly desired., • Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++). Our core services are built largely in Go, so experience with Go is a plus. You write clean, efficient, and maintainable code and have solid computer science fundamentals., • Distributed Systems & Problem Solving: Deep understanding of system design and algorithms. Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale. Ability to debug complex issues in a production environment and optimize system performance and reliability., • Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures. Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus.

Job DescriptionAbout UsMove money. Make money. Finix is a full-stack acquirer processor, empowering businesses of all sizes with flexible, modern payment solutions. Processing billions of dollars annually, Finix enables SaaS, marketplace, and e-commerce platforms to accept payments, manage payouts, and onboard merchants seamlessly. With our no-code, low-code, and developer-friendly tools, businesses can get up and running in hours—not months. Finix has raised over $175M, including a $75M Series C led by Acrew Capital, with participation from Lightspeed Venture Partners, Leap Global, American Express Ventures, Bain Capital Ventures, Homebrew, Inspired Capital, Sequoia Capital, Visa, and others. About the roleThe Engineering organization at Finix owns the delivery and stability of our product end-to-end. The Core Platform team ensures Finix’s complete payment platform is highly available, scalable, and performant. The DevOps Engineer is responsible for the secure operation of Finix’s production and production infrastructure. You Will • Secure our infrastructure at both the cloud layer (IAM) and application layer (PKI) along with automating processes and monitoring infrastructure that helps secure the production system, • Building monitoring systems for both infrastructure and business operations, using internal tools & integrating into established 3rd party SaaS ones, • Build tools that help manage, test, monitor, and improve system security, • Help develop security standards, preferred implementation patterns, secure common frameworks, and developer documentation and educational materials, • Manage vulnerability and enable security integrations into the SDLC process and CI/CD pipeline along with investigating and triaging production security alerts, • Closely collaborating with Developers to setup & configure the necessary AWS services in support of new feature developmentYou Are, • Proactive in securing large-scale cloud-based production environments, • Excited about finding new and better ways to make software systems more secure, • Able to thrive in a fast pace environment, highly collaborative, and live up to your commitments, • Open, honest, and direct in your communications, • You are a self-starter, have self-initiative, and want to take ownership, • Data-driven to guide your decisions by learning about our user's behavior and problemsYou Have, • 5+ years of experience working in a DevOps role, • Good experience with AWS, LINUX, Python, and Bash, • Experience building and maintaining systems in Kubernetes, • Previous experience designing a Network architecture and a solid understanding of networking and core Internet protocols, • Managing Build infrastructure, Continuous Integration, and Continuous Delivery Pipelines with tools like CodePipeline (CI/CD) and monitoring tools like New Relic & Scalyr, • Experience in distributed systems and multiple environments

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 Note for all engineering roles: with the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them. About Us People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL's workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more. We are looking for individuals who can balance extreme ownership with a "one-team, one-dream" mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team. Our Data Engineering Team is the secret sauce behind all that we do and we are looking for the best of the best. If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for direct contributions, this might be the role for you. We like our engineers to be thoughtful, quirky, and willing to fearlessly try new things. Failure is embraced at PDL as long as we continue to learn and grow from it. What You Get to Do • Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks, • Building an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into a number of clean, consumable datasets., • Developing CI/CD pipelines and anomaly detection systems capable of continuously improving the quality of data we're pushing into production., • 4-6+ years of industry experience with clear examples of strategic technical problem-solving and implementation, • Strong software development fundamentals., • Experience with Python, • Expertise with Apache Spark (Java, Scala, and/or Python-based), • Experience with SQL, • Experience building scalable data processing systems (e.g., cleaning, transformation) from the ground up., • Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar), • Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills), • Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.), • Experience with cloud computing services (AWS (preferred), GCP, Azure or similar), • Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar), • Balance high ownership and autonomy with a strong ability to collaborate, • Work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities), • Demonstrate strong written communication skills on Slack/Chat and in documents, • Exhibt experience in writing data design docs (pipeline design, dataflow, schema design), • Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering, • Experience working with entity data (entity resolution / record linkage), • Experience working with data acquisition / data integration, • Expertise with Python and the Python data stack (e.g., numpy, pandas), • Experience with streaming platforms (e.g., Kafka), • Stock, • Competitive Salaries, • Unlimited paid time off, • Medical, dental, & vision insurance, • Health, fitness, and office stipends People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Personal Privacy Policy for California Residents

Job DescriptionAbout WorkOS \uD83D\uDE80WorkOS builds tools and services for developers to help them implement authentication, identity, authorization, and overall enterprise readiness. We’re a fully distributed team with employees across North American time zones. We’re well-funded, having raised $100m in funding from top investors including Greenoaks Capital, Lachy Groom, and Lightspeed Ventures. Our fast-growing customer base includes rapidly growing SaaS companies like OpenAI, Cursor, Perplexity, Vercel, Plaid, and hundreds of others About the role \uD83D\uDCADAs a developer-first company, WorkOS is committed to creating exceptional experiences for engineers. We're seeking a Developer Experience Engineer to elevate our DX and help make it the best in the industry. We build and maintain SDKs in seven different languages, plus framework specific libraries. Regardless of which language or framework customers use, though, we want to make developing with WorkOS a joy. This role includes building and maintaining SDKs, open-source libraries, tooling, guides, and documentation. Successful candidates will love programming languages and stay up-to-date on their developments and best practices. They’ll also enjoy working on OSS projects and bringing joy to developers through their work.Requirements • Own and expand our SDKs and other OSS projects like AuthKit and our Next.js library, • Create and maintain example apps for our users in a variety of language and framework combinations like Next.js and PHP, • Build best-in-class developer tools to delight our users, like the WorkOS CLI, • Speak with customers regularly to get feedback on the developer experience, • Provide expert insight on developer experience decision making across the company, • Structure work around customer impact first and help move the company forward, • Help shape the DX roadmap to continue improve the experience and bring developer joy, • Help recruit and assess future engineering team members, • Help represent the team publicly through blog posts, public docs and developer toolingResponsibilities, • 5+ years of industry software development experience, • Has built, shipped and maintained SDKs and/or OSS projects, • Experience in community management and issue triage, • Experience owning projects and driving work based on customer impact, • Expert-level skill in three or more of our seven supported languages (Node/TypeScript, Python, Ruby, Golang, Java, PHP, .NET), • Experience in popular JavaScript frameworks (e.g. Next.js, Remix, Vue, Svelte, Angular), • Experience working on small teams in fast-paced environments, • Experience building and shipping web applications end-to-end, • Excellent prioritization and organization skills, • Intellectually curious, independently driven, and passionate about great products, • A growth mindset, high emotional intelligence, and strong communication skills Benefits (US Only) \uD83D\uDC96At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements. Benefits include:- Competitive pay- Substantial equity grants- Healthcare insurance (Medical, Dental and Vision) for you and your family- 401k matching- Wellness and fitness monthly allowances- PTO + paid holidays + unlimited sick leave- Autonomy and flexibility with remote workPlease inquire directly with our recruiting team for benefits available to those working outside the US. Equal Opportunity EmployerWorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. 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 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 DescriptionAbout Canvas Medical: Canvas Medical is on a mission to reimagine healthcare technology. Our platform provides a modern, developer-friendly electronic medical records (EMR) system, enabling better patient care and empowering healthcare innovators. By combining cutting-edge technology with a deep understanding of clinical workflows, we’re transforming how healthcare is delivered. Role Overview: As a Developer Advocate at Canvas Medical, you will be the voice of the developer community and a bridge between external developers and our internal product teams. Your primary goal will be to champion the needs of developers integrating with Canvas Medical’s API, provide technical guidance, and ensure our developer tools and documentation empower users to build impactful healthcare applications. This role is ideal for a technical communicator passionate about healthcare innovation and developer enablement.Key Responsibilities • Community Engagement: Build and nurture relationships with the developer community through forums, social media, webinars, and meetups. Act as the primary point of contact for external developers, collecting feedback and sharing insights with internal teams., • Technical Advocacy: Create and maintain high-quality documentation, tutorials, sample code, and SDKs to support developers using Canvas Medical’s API. Collaborate with the product and engineering teams to enhance API usability based on developer feedback., • Content Creation: Write blog posts, produce videos, and deliver presentations showcasing best practices, new features, and real-world applications of Canvas Medical’s API. Develop technical content for hackathons, developer conferences, and community events., • Support and Enablement: Provide direct support to developers, helping them troubleshoot issues and optimize their integrations. Conduct workshops, office hours, and training sessions to onboard developers to the Canvas Medical platform., • Evangelism: Represent Canvas Medical at conferences, trade shows, and other industry events as a technical expert and advocate. Share the vision of Canvas Medical and its impact on healthcare innovation.Qualifications, • Technical Expertise: Proficient in programming languages like Python, JavaScript, or similar, with experience in building and consuming RESTful APIs. Familiarity with FHIR standards is a plus., • Communication Skills: Exceptional written and verbal communication skills with the ability to translate complex technical concepts for a broad audience., • Healthcare Knowledge: Understanding of the healthcare ecosystem, EMR systems, and developer challenges in health tech is highly desirable., • Developer Focused: Proven track record of engaging with developer communities or contributing to open-source projects.

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 DescriptionAbout QSIC QSIC is reinventing in-store audio. We use Audio, Intelligence (AI) and Creativity to redefine the value of in-store audio and drive growth for retailers and brands. Our story began in Australia over a decade ago with a love for music and a simple purpose: to create value that others can’t see. We sought to bring that to life through exceptional audio experiences, so we built the leading intelligent in-store audio platform for retailers and brands. At QSIC, in-store audio has never been just “background noise.” Audio has the power to change the atmosphere, spark emotion and shift the atmosphere. When it’s seamlessly woven into an in-store experience, it doesn’t just play – it connects. It engages shoppers without distracting them, influences decisions where it matters most, and elevates the entire shopping journey. Today, QSIC technology powers thousands of stores across three continents, reaching over 100 million shoppers each month. • Experience as a software engineer, having worked on production applications both as a solo contributor and as part of a team. You understand how to get things shipped, and you know the tradeoffs between when to go solo and when team collaboration and alignment is more important.- Built and maintained products in the adtech space.- Strong experience and expertise in designing, building, maintaining and managing public API and integration services, to ensure a robust, reliable interface which is resilient and stable. - An understanding of both the technical and customer experience challenges that public API and integration services bring. - Demonstrated real world experience in how to design communication flows, implement the API endpoints, deploy to production, monitor for usage and production issues, and navigate the long term iteration on those public APIs.- Experience producing API documentation for external developers, both by hand and using automated tools.- Working technical fluency in: • Python and Django, or a similar back-end language such as Ruby or Typescript and an eagerness to contribute to the Python codebase.* RESTful API design and implementation.* RDBMS fundamentals, particularly MySQL or Postgresql.

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 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 Note for all engineering roles: with the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them. About Us People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL's workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more. We are looking for individuals who can balance extreme ownership with a "one-team, one-dream" mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team. Our Data Engineering Team is the secret sauce behind all that we do and we are looking for the best of the best. If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for direct contributions, this might be the role for you. We like our engineers to be thoughtful, quirky, and willing to fearlessly try new things. Failure is embraced at PDL as long as we continue to learn and grow from it. What You Get to Do • Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks, • Building an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into a number of clean, consumable datasets., • Developing CI/CD pipelines and anomaly detection systems capable of continuously improving the quality of data we're pushing into production., • 5-7+ years of industry experience with clear examples of strategic technical problem-solving and implementation, • Strong software development fundamentals., • Experience with Python, • Expertise with Apache Spark (Java, Scala, and/or Python-based), • Experience with SQL, • Experience building scalable data processing systems (e.g., cleaning, transformation) from the ground up., • Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar), • Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills), • Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.), • Experience with cloud computing services (AWS (preferred), GCP, Azure or similar), • Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar), • Balance high ownership and autonomy with a strong ability to collaborate, • Work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities), • Demonstrate strong written communication skills on Slack/Chat and in documents, • Exhibt experience in writing data design docs (pipeline design, dataflow, schema design), • Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering, • Experience working with entity data (entity resolution / record linkage), • Experience working with data acquisition / data integration, • Expertise with Python and the Python data stack (e.g., numpy, pandas), • Experience with streaming platforms (e.g., Kafka), • Stock, • Competitive Salaries, • Unlimited paid time off, • Medical, dental, & vision insurance, • Health, fitness, and office stipends People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Personal Privacy Policy for California Residents

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 $30 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. About The RoleWe’re looking for a passionate and experienced Principal AI Agent Engineer to join our team that owns the core of our payments technology. In this role, you’ll help design, build, and scale both our payments platform and customer-facing payment products, ensuring they are secure, reliable, and performant. You’ll collaborate closely with product managers, designers, and fellow engineers to deliver seamless payments experiences that power every transaction. At the heart of this role is helping to shape and execute our AI strategy with Agents powered by LLMs and other AI technologies. You’ll explore and implement how intelligent agents can transform payments — from automating complex workflows to delivering personalized and adaptive product experiences. You’ll balance near-term product needs with building long-term platform capabilities that enable innovation at scale. Key Responsibilities • Design and lead backend architecture that supports AI/ML-powered features across Web, Mobile, SMS/Voice, and API surfaces, • Own end-to-end technical strategy for embedding LLMs, embedding stores, MCP Servers, and personalized content delivery, • Architect and implement agentic workflows, enabling LLM-powered Agents to orchestrate tools, APIs, and data sources to deliver intelligent, adaptive payment experiences, • Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact, • Build tools and services (including MCP Server integrations) to help other team members experiment and ship AI-enhanced features responsibly and efficiently, • Influence engineering standards and promote excellence in observability, performance, and security, • Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality, • Collaborate with cross-functional partners across QA, Mobile, Data, Product, and Marketing Required Qualifications, • 8+ years of experience in backend development, with at least 2+ years working with AI/ML solutions or LLMs, • Experience developing and deploying MCP Servers and working with the Model Context Protocol ecosystem, • Hands-on experience designing and implementing agentic workflows using LLMs, including orchestration across APIs, tools, and data sources, • Experience working with vector databases, embeddings, and semantic search, • Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools, • Strong experience in one or more of the following languages: Node.js, Python, C#, TypeScript, • Strong experience designing and building APIs, including REST, GraphQL, gRPC, and event-driven architectures (e.g., Webhooks, Pub/Sub, Kafka), • Experience with frameworks for Agent orchestration (e.g., LangChain, Semantic Kernel, Haystack, or custom-built frameworks), • Familiarity with Retrieval-Augmented Generation (RAG) patterns in production systems, • Knowledge of payments infrastructure, PCI compliance, and financial-grade security practices is a plus, • Experience with AWS Bedrock Soft Skills & Cultural Fit, • Strong collaboration skills with a willingness to mentor junior developers and contribute to code reviews, • Problem-solving ability: capable of breaking down complex problems and taking ownership of tasks from start to finish, • Customer-centric mindset: ability to align development decisions with delivering an excellent user experienceOpportunities for Growth, • At GoodLeap, there are always opportunities for team members to grow and advance within the company. As you outgrow your current role, we will support your development into new opportunities. In addition to the above salary, this role may be eligible for cash bonus and equity compensation Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI. 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 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 Description Note for all engineering roles: With the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them. About Us People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL's workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more. We are looking for individuals who can balance extreme ownership with a "one-team, one-dream" mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team. Our Platform Engineering Team oversees the foundational work that the rest of our engineering teams build their success upon. You will be crucial in accelerating our efforts to build standalone data products that enable data teams and independent developers to create innovative solutions at massive scale. In this role, you will be working with a team, defining tools and infrastructure that facilitate big data processing, primarily within AWS. If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for direct contributions, this might be the role for you. We like our engineers to be thoughtful, quirky, and willing to fearlessly try new things. Failure is embraced at PDL as long as we continue to learn and grow from it. What You Get To Do • Manage and improve our growing AWS and data center infrastructures, • Design, implement, and maintain a CI/CD pipeline to improve developer workflows, • Utilize centralized monitoring and logging to improve visibility across the team, • Assist development teams in solving issues around scaling and bottlenecks, • 5-7+ years of software development experience with a background in platform or cloud infrastructure engineering and clear examples of strategic technical problem-solving and implementation, • 3+ years of experience with Python in a production environment, • Strong software development fundamentals and system design experience, • Strong experience with our core technologies (AWS, ElasticSearch / OpenSearch, Python, Docker, scaled data processing technologies), • AWS, including EC2, Lambda, OpenSearch, API Gateway, ALB, others, • Data stores, including Postgres/MySQL, Dynamo, Redis, S3, • Experience with Infrastructure-as-code (IaC) frameworks (e.g. Pulumi, Terraform, CloudFormation, or similar), • Experience with network design, including public/private availability, routing, firewalls/security groups, and VPN, • Experience with Identity and Access Management, • Experience with configuration management tools (e.g. Chef, Puppet, Ansible, etc), • Experience with observability tools such as Datadog for metrics, logging, etc, • Balance high ownership and autonomy with a strong ability to collaborate, • Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities), • Strong written communication skills on Slack/Chat and in documents, • Are experienced in writing data design docs (pipeline design, dataflow, schema design), • Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering, • Expertise with Apache Spark (Java, Scala, and/or Python-based), • Experience with SQL Data Pipeline Development, • Experience supporting developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster, or similar), • Experience with managing, deploying, and ensuring the reliability of streaming platforms (e.g., Kafka), • Experience evaluating data quality and maintaining consistently high standards across new feature releases (e.g., consistency, accuracy, validity, completeness), • Experience using Databricks or similar data-development platforms Great people make great teams. We believe in building highly functional, energetic, and engaging teams to serve our customers. People, Customers, Shareholders, in that order, sets us up for success and delivering on our promises. • Stock, • Competitive Salaries, • Unlimited paid time off, • Medical, dental, & vision insurance, • Health, fitness, and office stipends No C2C, 1099, or Contract-to-Hire. Recruiters need not apply. People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Personal Privacy Policy For California Residents

Job Description We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. We’re looking for a Founding Engineer with deep backend and infrastructure experience to build the foundation of our cloud compute platform. You’ll be responsible for architecting and scaling the systems that power real-time generative workloads for next-gen applications. What You’ll Do • Build and maintain our core Python platform, which includes:, • Request routing, AI workload orchestration, GPU resource management., • Observability, authentication, rate limiting, and more., • Develop and maintain infrastructure using Terraform, Ansible, and cloud/bare metal provider APIs., • Own critical systems and tooling: Kubernetes, FluxCD, Nomad, Prometheus, Thanos, Grafana, Loki, distributed storage, and networking., • 5+ years of experience in cloud computing, infrastructure engineering, or DevOps roles., • Proficiency in cloud platforms (AWS, GCP, Azure) and their associated services (compute, storage, networking)., • Experience with container orchestration systems like Kubernetes, Docker, and serverless architectures., • Strong knowledge of cloud security best practices and data management strategies., • Demonstrated ability to optimize cloud resource usage effectively while balancing performance and cost., • Expertise in cloud platforms and services., • Experience with infrastructure as code tools (Terraform, CloudFormation)., • Familiarity with CI/CD pipelines and automation of deployment processes., • Competitive SF salary and foundational team equity

Job DescriptionSoftware Engineer (Intern) | naptha.ai About this role We are seeking exceptional Software Engineering interns to join Naptha AI and contribute to building the future of AI agent infrastructure. This internship offers hands-on experience working with frontier AI technology, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups. We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers to build products powered by enormous networks of highly capable next-generation AI agents. As an Engineering Intern, you'll work directly with our technical team on real projects that impact our core platform. What You'll Do * Build and improve components of our agent infrastructure * Work on real features that ship to production * Collaborate with experienced engineers and researchers * Learn about large-scale AI systems and infrastructure * Contribute to our agent development platform * Gain experience with cutting-edge AI tools and frameworks Technical Areas * Backend development with Python and modern frameworks * Agent system implementation and testing * API development and integration * Performance optimization and monitoring * Infrastructure and tooling development * Testing and deployment automation Requirements * Currently pursuing BS/MS in Computer Science or related field * Strong programming skills, particularly in Python * Basic understanding of AI/ML concepts * Experience with software development practices * Ability to work independently and learn quickly * Strong problem-solving abilities Nice to Have * Experience with AI frameworks or tools * Familiarity with distributed systems * Open source contributions * Experience with developer tools * Interest in AI infrastructure About the internship * Duration: 12-16 weeks * Location: Remote * Competitive compensation * Real-world project ownership * Mentorship from experienced engineers * Opportunity for return offers This internship offers a unique opportunity to work on cutting-edge AI infrastructure while learning from experienced technical leaders. You'll gain practical experience building systems that power the next generation of AI applications.

Job DescriptionAbout the Role We’re an early-stage stealth startup building a new kind of platform for generative media. Our mission is to enable the future of real-time generative applications: we’re building the foundational tools and infrastructure that make entirely new categories of generative experiences and applications finally possible. We’re a small, focused team of ex-YC and unicorn founders and senior engineers with deep experience across 3D, generative video, developer platforms, and creative tools. We're backed by top-tier investors and top angels, and we're building a new technical foundation purpose-built for the next era of generative media. We’re operating at the edge of what’s technically possible: high-performance inference and real-time orchestration of multimodal models. As one of our founding engineers, you’ll play a key role in architecting the core platform, shaping system design decisions, and owning critical infrastructure from day one. If you're excited about architecting and building high-performance infrastructure that empowers the next generation of developers and unlocks entirely new products categories, we’d love to talk. About the Role We're looking for a Founding Machine Learning Engineer to build the core infrastructure powering high-performance inference for generative media models, including diffusion and transformer architectures. You’ll be instrumental in designing low-latency, high-throughput systems that serve state-of-the-art models in real time. As an early technical leader, you'll shape both our systems and culture from day one. What You’ll Do • Architect and implement the inference engine for diffusion transformer-based generative models, • Optimize model execution across the stack — memory, compute, and networking, • Drive performance engineering to minimize latency and maximize throughput, • Work closely with research to productionize new generative techniques and model variants, • Build the tools, services, and monitoring that make these systems robust and scalable, • 3+ years of experience building high-performance ML or systems infrastructure, • Deep fluency with PyTorch and production-grade Python, • Strong understanding of GPU systems (CUDA, memory hierarchies, scheduling, etc.), • Experience optimizing inference for generative models (e.g., diffusion, transformers), • Bonus: Familiarity with Triton, CUDA, TensorRT, or model parallelism techniques, • Strong Python + PyTorch skills, • Proven experience optimizing inference for generative models, • Deep systems knowledge, especially GPU performance tuning, • Competitive SF salary and foundational team equity

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 Description About Us: At Parafin, we’re on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position We’re seeking an experienced software engineer to join our Infrastructure team to lead key initiatives around security-focused platform engineering. At Parafin, the Infrastructure team owns core platforms spanning cloud infrastructure, compute, networking, developer experience, data infrastructure, and security. In this role, you’ll design and implement scalable, secure systems and tooling that empower engineers to move quickly while maintaining a strong security posture. You’ll play a critical role in shaping how we manage access, secure our compute and networking layers, and build foundational infrastructure that supports our rapidly growing platform. What You’ll Be Doing * Lead the design and implementation of secure, reliable infrastructure platforms—across compute, networking, identity, and policy enforcement. * Own and evolve the security posture of our Kubernetes platform, focusing on isolation, observability, and resilience. * Build and operate systems for managing secrets, service-to-service auth, and access control. * Define and codify best practices in infrastructure security, infrastructure-as-code, and software integrity. * Collaborate with engineers across Infrastructure and Product teams to introduce secure-by-default tooling and abstractions. * Drive improvements to our availability, incident response, and audit capabilities through automation and thoughtful platform design. * Mentor engineers and influence a culture of security-minded engineering across the company. What We’re Searching For * 8+ years of experience in software or infrastructure engineering, with significant focus on secure infrastructure and platform development. * Strong proficiency in coding languages such as Python * Deep expertise with Kubernetes and its surrounding ecosystem (e.g., service mesh, admission controllers, observability, RBAC). * Experience operating cloud infrastructure (preferably AWS), including IAM, VPCs, and secure configuration management. * Proficiency with infrastructure-as-code tools such as Terraform. * Familiarity with secrets management (e.g., Vault), CI/CD hardening, and runtime/container security practices. * Strong problem-solving and debugging skills in distributed systems. * Excellent communication skills and experience collaborating with cross-functional teams. We Prefer If You Have * Experience building or maturing security infrastructure in a fast-paced or regulated environment. * Understanding of compliance requirements in fintech (e.g., SOC 2, PCI) and how to build guardrails that support them. * A track record of building internal tools or reusable platform abstractions adopted by multiple teams. What We Offer * Salary Range: $235k - $300k * Equity grant * Medical, dental & vision insurance * Unlimited PTO & work from home flexibility * Commuter benefits * Free lunches * Paid parental leave * 401(k) * Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

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, • 5+ 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 DescriptionAbout Multiply Labs Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. You can also read our latest peer-reviewed study, which highlights the statistical equivalence between manual and automated cell expansion processes, at cytotherapy.org. Position Overview At Multiply Labs, our team operates at the intersection of robotics and biopharma. As a Full-Time Software Engineer, you will work alongside a highly collaborative team of robotics engineers, mechanical engineers, electrical engineers, computer scientists, other software developers and biopharma scientists to build robotic systems that automate the manufacturing of life-saving cell therapies. Projects include, but are not limited to, parallel process planning, data integration, developer tooling, imitation learning and customer-facing applications. Your strengths and passions will determine which team you assist and all teams rotate frequently to promote cross-functional collaboration and rapid learning for all members. This role is for you if you are a strong problem solver, a motivated and hard-working engineer, and excited to work at an early-stage startup.As a Senior member of our Software team, you will: • Lead the design, build, deployment, troubleshooting, and maintenance of high-quality production software., • Develop end-to-end cloud and networking infrastructure., • Develop robust and optimal job scheduling algorithms., • Develop code for current projects in all areas of the code development stack including customer-facing projects and internal tool development., • Work with AWS and cloud systems to ensure code pipelines are building and deploying code as expected., • Design and implement developer tooling.Qualifications:, • Bachelor’s or Master’s in Computer Science, Engineering or related discipline., • 5+ years experience in relevant industry., • Strong background in Python and data science, • Experience with leading cross-functional projects., • Excellent communication and collaboration skills., • Passionate, curious, and eager to learn., • Self-starter and comfortable working in a fast-paced, technically challenging startup environment., • Prioritize organization and detail orientation., • Ability to handle multiple project and task assignments simultaneously., • Strong communication skills that clearly express ideas and design details in meetings, team presentations, whiteboard brainstorming sessions, and various technical documentation. Additional Qualifications – Considered a plus:, • Experience with Linux/Unix systems., • Experience with cloud technologies, specifically AWS.$160,000 - $185,000 a yearTotal compensation includes generous equity and benefits including:

Job Description At Commure, our mission is to simplify healthcare. We have bold ambitions to reimagine the healthcare experience, setting a new standard for how care is delivered and experienced across the industry. Our growing suite of AI solutions spans ambient AI clinical documentation, provider copilots, autonomous coding, revenue cycle management and more — all designed for providers & administrators to focus on what matters most: providing care. Healthcare is a $4.5 trillion industry with more than $500 billion spent annually on administrative costs, and Commure is at the heart of transforming it. We power over 500,000 clinicians across hundreds of care sites nationwide – more than $10 billion flows through our systems and we support over 100 million patient interactions. With new product launches on the horizon, expansion into additional care segments, and a bold vision to tackle healthcare's most pressing challenges, our ambition is to move from upstart innovator to the industry standard over the next few years. Commure was recently named to Fortune’s Future 50 list for 2025 and is backed by world-class investors including General Catalyst, Sequoia, Y Combinator, Lux, Human Capital, 8VC, Greenoaks Capital, Elad Gil, and more. Commure has achieved over 300% year-over-year growth for the past two years and this is only the beginning. Healthcare's moment for AI-powered transformation is here, and we're building the technology to power it. Come join us in shaping the future of healthcare. About the Role The Revenue Cycle Management (RCM) Product Team at Commure + Athelas powers the core operating system for our practices. Our product—Insights—provides practice staff and administrators with everything they need to efficiently manage their practice’s operations. We maintain 150+ customer-facing features, ranging from high-level reports and visualizations to workflow automation tools to help the staff boost their practice’s revenue. As a Staff Fullstack Engineer, you will play a key role in scaling and maintaining our website’s infrastructure, ensuring a seamless user experience as we grow to support thousands of practices nationwide. Beyond development, this role will help define the technical direction of Insights’ architecture, shaping how and where services are built and deployed. You’ll help foster a culture of continuous improvement, enhancing the reliability, scalability, and performance of our web applications while elevating the technical skills of the entire engineering organization. What You’ll Do * Drive the technical direction of our practice management platform, Insights, ensuring it scales to support thousands of practices and millions of users * Design, build, and maintain scalable full-stack solutions using ReactJS, Python, and PostgreSQL * Improve system reliability and observability by implementing best practices in monitoring, logging, and alerting * Optimize performance and scalability of our web applications, ensuring seamless user experiences as we rapidly expand * Collaborate with infrastructure and backend teams to ensure high availability and resilience of core functions * Mentor and guide engineers, fostering a culture of technical excellence and continuous learning * Lead and deliver high-impact projects, balancing speed and quality in a fast-paced, high-ownership environment * Conduct in-depth code reviews, uphold best practices, and drive architectural improvements across the stack * Work closely with product and design teams to build intuitive, user-friendly experiences for healthcare providers and staff What You Have Required * 8+ years of professional software development experience, with a focus on building scalable full-stack applications * Proficiency in full-stack development with expertise in JavaScript (React/Vue), Python, and PostgreSQL * Strong architectural skills with experience designing and maintaining highly scalable, reliable, and performant web applications * Experience leading multi-month, high-impact projects, balancing trade-offs, and delivering results in a fast-paced environment * Deep understanding of modern front-end engineering—React fundamentals, performance optimization, state management, and component-driven design * Experience working with complex backend systems, including designing APIs and optimizing database performance * Strong debugging and problem-solving skills, with a focus on observability (monitoring, logging, and alerting best practices) * Ability to mentor engineers and drive technical excellence across the organization * Excellent communication skills, with the ability to effectively present technical concepts to leadership and cross-functional teams Preferred * Experience scaling front-end applications in a fast-growing, high-traffic environment * Deep understanding of frontend performance optimizations and ability to diagnose bottlenecks in React applications * Strong product intuition with a track record of influencing UX/UI decisions to improve usability * Background in data visualization and building interactive dashboards for analytics-heavy applications * Experience with developer tooling and CI/CD pipelines for frontend applications * Familiarity with modern API design patterns (GraphQL, REST, gRPC) and best practices in backend-for-frontend (BFF) architectures * Contributions to open-source projects or a strong engineering blog presence * Experience working in highly regulated industries (finance, insurance, government) with a focus on security and compliance * A passion for improving healthcare and healthcare operations in America If you're excited about shaping the technical foundations of a high-impact healthcare startup, we'd love to hear from you! Commure + Athelas is committed to creating and fostering a diverse team. We are open to all backgrounds and levels of experience, and believe that great people can always find a place. We are committed to providing reasonable accommodations to all applicants throughout the application process. Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization’s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis. Compensation Range: $180K - $220K

Job DescriptionAttentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate. With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit or follow us on LinkedIn, X (formerly Twitter), or Instagram. Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees! About the RoleWe’re looking for a self-motivated, highly driven Senior Software Engineer to join our Machine Learning Platform (MLOps) team. As a team, we enable Attentive’s Machine Learning (ML) practice to directly impact Attentive’s AI product suite through the tools to train, inference, and deploy ML models with higher velocity and performance, while maintaining reliability. We build and maintain a foundational ML platform spanning the full ML lifecycle for consumption by ML engineers and data scientists. This is an exciting opportunity to join a rapidly growing ML Platform team at the ground floor with the ability to drive and influence the architectural roadmap enabling the entire ML organization at Attentive. This team and role is responsible for building and operating the ML data, tooling, serving, and inference layers of the ML platform. We are excited to bring on more engineers to continue expanding this stack. What You'll Accomplish • Expand, mature, and optimize our ML platform built around cutting edge tooling like Ray, MLFlow, Metaflow, Argo, and Spark to support traditional, deep learning, and reinforcement learning ML models, • Build and mature capabilities to support CPU / GPU clusters, model performance monitoring, drift detection, automated roll-outs, and improved developer experience, • Build, operate, and maintain a low-latency, high volume ML serving layer covering both online and batch inference use cases, • Orchestrate Kubernetes and ML training / inference infrastructure exposed as an ML platform, • Expose and manage environments, interfaces, and workflows to enable ML engineers to develop, build, and test ML models and servicesYour Expertise, • You have been working in the areas of ML Platform / MLOps for 5+ years, and have an understanding of gold standard practices and best in class tooling for ML, • You have owned and built core components of an ML Platform using tools such as Spark, Ray, MLFlow, Kubeflow, or Metaflow, • Python is your coding language of choice, and you’ve worked with Python as both a batch analysis tool and online service framework, • Your passion is exposing platform capabilities through interfaces that enable high performance ML practices, rather than designing ML experiments (this team does not directly develop ML models), • You understand the key differences between online and offline ML inference and can voice the critical elements to be successful with each to meet business needs, • You understand the importance of CI/CD in building high-performing teams and have worked with tools like Jenkins, CircleCI, Argo Workflows, and ArgoCDSample Projects, • Design and implement an online inference pipeline with champion/challenger shadow model testing, • Scale real-time feature streaming use cases to handle low-latency, high-volume RL use cases, • Build a universal data access layer (DAL) and serving interface to expose predictions to different parts of Attentive’s products, • Mature platform interfaces toward full self-service for stakeholders #LI-MDK1 Attentive Company ValuesDefault to Action - Move swiftly and with purposeBe One Unstoppable Team - Rally as each other’s championsChampion the Customer - Our success is defined by our customers' successAct Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

Job Description At Dealpath, we're powering the digital transformation of real estate investment management. Our platform is the command center for some of the world's most respected investment managers, and quality is core to how we deliver exceptional value to our users. As we scale, we're looking for a Senior SDET to shape the future of test automation and release reliability—while mentoring and enabling others to do the same. As a Senior SDET, you'll be a quality champion who ensures our software is reliable, scalable, and high-performing. You'll own and evolve our test automation frameworks, work closely with our manual QA team, and play a pivotal role in our release cycles. Your contributions will directly impact mission-critical workflows used by institutional investors worldwide. You'll also be a key bridge between QA and engineering, supporting developers in building testable, automated code, and driving a quality-first mindset across the product lifecycle. What You'll Do • Lead Automation Strategy: Own and enhance our end-to-end and integration automation frameworks to support robust, scalable test coverage across web, API, and backend services., • Mentor & Support QA: Serve as a technical mentor to manual QA testers, helping them level up through automation adoption, test case design, and tooling best practices., • Release Confidence: Collaborate with product and engineering to validate and sign off on high-impact features and releases., • Enable Developer Efficiency: Partner with engineers to embed quality at the source—consulting on test design, helping instrument pipelines, and integrating automated checks into CI/CD., • Explore & Innovate: Constantly evaluate new tools, libraries, and approaches to keep our test infrastructure ahead of the curve., • Quality Evangelism: Drive initiatives to embed a culture of engineering excellence and accountability for quality across teams.Tech Stack You'll Work With, • Languages: JavaScript/TypeScript, Python, • Frameworks: Selenium WebDriver, • Medical, dental, & vision insurance coverage, • Hybrid 3 days in office policy, • Flexible Spending Account, • Paid Parental Leave, • 401(k), • Company sponsored commuter benefits, • Flexible time off policy, • Catered lunches and snacks, • The estimated base pay range for California candidates for this position is $140,000 - $150,000., • Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process., • There may be flexibility with compensation based on experience and interview performance., • This position is also eligible for Dealpath's equity plan and variable compensation., • Your actual compensation will be confirmed in writing at the time of offer. Dealpath is the world's largest and most trusted real estate investment management platform. To date, Dealpath has powered over $10 trillion in transactions in partnership with hundreds of firms, from leading global institutions including Blackstone, Nuveen, LaSalle, CBRE IM, and MetLife to lean mid-market and regional organizations. Dealpath drives investment performance by uniting data, insights, and execution in a platform purpose-built for real estate, giving firms the tools they need to operate with speed and precision and unlock opportunity in a dynamic and competitive landscape where information reigns supreme. Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital. We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture - we'd love to meet you!

Job DescriptionAbout UsAt Encord, we're building the AI infrastructure of the future. The biggest challenge AI companies face today is actually not half as glamorous as the outside world may think: it's all about data quality. In fact, the success of any AI application today relies on the quality of a model's training data — and for 95% of teams, this essential step is both the most costly, and the most time-consuming, in getting their product to market. As ex-computer scientists, physicists, and quants, we felt first-hand how the lack of tools to prepare quality training data was impeding the progress of building AI. AI today is what the early days of computing or the internet were like, where the potential of the technology is clear, but the tools and processes surrounding it are still primitive, preventing the next generation of applications. This is why we started Encord. We are a talented and ambitious team of 90+, working at the cutting edge of multimodal and visual AI, backed by top investors, including CRV and Y Combinator, leading industry executives like Luc Vincent, former VP of AI at Meta, and other top Bay Area leaders in AI. We are one the fastest growing companies in our space, and consistently rated as the best product in the market by our customers. We have big plans ahead and are looking for our first AI Developer Advocate to join us in building our team. What we are looking forAs the first Developer Advocate based in the U.S., you will play a crucial role in shaping our community and establish Encord as a leader in the ML/CV space. Collaborating with cross-functional teams, you will be responsible for educating our community, increasing brand awareness, and establishing Encord’s reputation as leaders in the ML/CV space. We are looking for smart and ambitious individuals with an established presence in the AI space. We’re still a startup: you’ll have to get hands-on with projects, operate with partial knowledge, and constantly be rethinking how we do things. Plus, move very quickly. What you will doIn this role, you will:

Job DescriptionCanvas Medical is accelerating everyday medicine with an EMR platform built for healthcare automation. We create modern, elegant front- and back-end tooling to enable new ways for developers and clinicians to integrate data, automate workflows, and collaborate to solve healthcare's toughest challenges. In doing so we advance our mission to give care teams superpowers with software. 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). Role Description We're hiring a Solutions Engineer to join our Engineering team and build the technical bridge between customer needs and platform capabilities. This role is the engineering counterpart to our Solutions Consultants—where they translate customer needs into requirements, you'll transform those requirements into robust, scalable technical solutions that push the boundaries of our platform. As a Solutions Engineer, you'll architect and implement custom solutions using the Canvas SDK, build reusable plugins and integrations, and extend our platform's capabilities to meet complex healthcare automation challenges. You'll partner closely with Solutions Consultants to prototype rapidly, validate technical approaches, and deliver production-ready solutions that delight customers. This is a builder role where you'll directly impact how healthcare providers leverage our EMR platform while contributing to the evolution of our developer tools and SDK. The ideal candidate brings strong engineering fundamentals, passion for healthcare technology, and exceptional ability to navigate between rapid prototyping and production-quality code. You'll thrive in collaborative environments, balance customer urgency with engineering excellence, and drive technical decisions that scale. We're looking for someone who experiments fearlessly, iterates quickly, and can build elegant solutions from the ground up while maintaining the robustness required for healthcare systems.Responsibilities • Technical Solution Development, • Build production-ready solutions using the Canvas SDK, demonstrating mastery of event-driven architectures, handlers, and effects, • Transform PRDs from Solutions Consultants into elegant, maintainable code that solves real healthcare workflow challenges, • Create robust plugins and integrations that extend platform capabilities while maintaining HIPAA compliance and clinical documentation standards, • Develop and maintain a library of reusable components and patterns that accelerate future solution delivery, • Platform Enhancement & Innovation, • Identify gaps in SDK capabilities and contribute directly to platform improvements through pull requests and feature development, • Design and implement new SDK features that enable broader solution patterns across the customer base, • Build developer tools and utilities that improve the efficiency of both internal teams and external developers, • Create technical documentation, integration guides, and reference implementations for complex solutions, • Cross-Functional Technical Leadership, • Partner with Solutions Consultants to validate technical feasibility and architect optimal approaches, • Collaborate with core engineering teams to align custom solutions with platform roadmap and architectural standards, • Enable customer success through technical workshops, debugging sessions, and solution handoffs, • Mentor Solutions Consultants on technical concepts and best practices for SDK usageQualifications, • Required Experience & Background, • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience, • 2+ years of professional software development experience with modern web stacks, • Demonstrated ability to build end-to-end solutions from requirements to production deployment, • Strong problem-solving skills with ability to navigate ambiguous technical challenges, • Technical Skills & Capabilities, • Proficiency in Python is mandatory., • JavaScript/TypeScript and modern frontend frameworks (React preferred) are a bonus., • Experience with API design, event-driven architectures, and plugin-based systems, • Strong understanding of software design patterns, testing practices, and code maintainability, • Comfort with rapid prototyping while maintaining production-quality standards, • Experience with version control, CI/CD pipelines, and modern development workflows, • Healthcare & Domain Expertise, • Interest in healthcare technology and improving clinical workflows through automation, • Understanding of healthcare data standards (FHIR, HL7) or willingness to learn quickly, • Ability to translate clinical requirements into technical architecture decisions, • Appreciation for the complexity and criticality of healthcare systems, • Personal Attributes, • Builder mentality—passionate about creating solutions that directly impact users, • Collaborative approach to problem-solving with strong communication skills, • Growth mindset with ability to learn new technologies and domains rapidly, • Pragmatic engineering approach—knows when to build for today versus tomorrow, • Customer empathy with drive to understand and solve real user problems, • Nice-to-Have Qualifications, • Experience building or maintaining SDKs, developer tools, or platform products, • Background in healthcare IT, EMR integrations, or clinical systems, • Familiarity with regulatory requirements (HIPAA, FDA guidelines) for healthcare software, • Experience with Python for backend services or data processing, • Prior experience in customer-facing engineering or solutions architecture roles, • Contributions to open-source projects or technical community engagementWhat Success Looks Like at 90 Days, • Ship 5+ production-ready solutions that demonstrate deep understanding of the Canvas SDK and platform capabilities, • Contribute at least 2 meaningful enhancements to the SDK or developer tools based on customer solution needs, • Establish strong working relationships with Solutions Consultants and become go-to technical partner for complex implementations Canvas Medical provides equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Research shows that women and other minority groups might avoid applying if they don't meet 100% of the qualifications. We encourage you to apply even if you don't meet everything listed in the job posting. 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 DescriptionGTM Engineer (Full-Stack) | naptha.ai About this role Naptha AI is seeking a talented Go-to-Market Engineer with full-stack development skills to join our innovative AI startup. In this role, you'll design and build technical experiments that showcase our cutting-edge AI technology to developers. Working directly with our founding team, you'll create demo applications, integrations, interactive landing pages, and developer onboarding experiences. This position is perfect for engineers who combine strong technical abilities with growth mindset and want to make an immediate impact in a fast-paced environment. * Design and build technical GTM experiments including demo apps, integrations, and interactive landing pages * Work directly with the founders on small bet initiatives from idea to shipped product * Integrate our AI technology into real-world use cases and showcase its value to developers * Spin up mini tools, plugins, or prototypes to test positioning, features, or distribution channels * Implement lightweight analytics to measure outcomes and iterate quickly * Collaborate with backend engineers and product to ensure velocity and alignment * Engage with early adopters (mostly developers) to gather feedback, unblock them, and learn what sticks Why Join Us * Shape how our product gets into the hands of developers and how it evolves with them * Work directly with the founding team in a no-red-tape environment * Own projects end-to-end, from idea to implementation to impact * Be one of the first hires in a company built on technical excellence and fast iteration In this role, you’re a good fit if you have: * 3–6 years of experience as a full-stack engineer, ideally in early-stage startups * Strong front-end skills (React, Next.js or similar) and backend familiarity (Node, Python, etc.) * Experience working with APIs, SDKs, or developer tooling is a big plus * Ability to build and ship fast — even if it's scrappy, prioritizing learnings over perfect code * Comfort jumping on calls with users, writing docs, or implementing quick fixes in production * Bonus: Experience with AI/ML APIs, SDKs, or infrastructure tools * Bonus: Experience in growth engineering, developer advocacy, or building for developers * Bonus: Experience working in an environment driven by experimentation and iteration About the hiring process * Video interview with hiring manager * Take-home project * Presentation of take-home project to panel * Interview with co-founders Compensation & Benefits * Highly competitive salary and significant equity stake * Role and compensation scaled to your experience * Remote-first work environment * Full medical, dental, and vision coverage * Flexible PTO policy * Learning and conference budget We're looking for software engineers with a product and growth mindset who are excited about rapidly testing ideas, gathering feedback, and iterating on product experiences. If you thrive in fast-paced startup environments, enjoy full-stack development with React and Node.js, and are passionate about creating developer tools and AI applications, we want to talk to you. Keywords: Full-Stack Engineer, Frontend Developer, React Developer, Next.js, Node.js, Python, JavaScript, Growth Engineer, Developer Experience, AI, Machine Learning, Startup, GTM, Go-to-Market, Developer Tools, SDK, API Integration, Product Development

Job DescriptionAbout the Company Our client is at the forefront of the AI revolution, providing cutting-edge infrastructure that's reshaping the landscape of artificial intelligence. They offer an AI-centric cloud platform that empowers Fortune 500 companies, top-tier innovative startups, and AI researchers to drive breakthroughs in AI. This publicly traded company is committed to building full-stack infrastructure to service the explosive growth of the global AI industry, including large-scale GPU clusters, cloud platforms, tools, and services for developers. * Company Type: Publicly traded * Product: AI-centric GPU cloud platform & infrastructure for training AI models * Candidate Location: Remote anywhere in the US Their mission is to democratize access to world-class AI infrastructure, enabling organizations of all sizes to turn bold AI ambitions into reality. At the core of their success is a culture that celebrates creativity, embraces challenges, and thrives on collaboration. The Opportunity We are seeking a Cloud Solutions Architect (Pre-Sales) to join our client's team. This role offers an exciting opportunity to work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs, and contribute to one of the most powerful commercially available supercomputers. What You'll Do * Act as a trusted advisor to clients, providing technical expertise and guidance throughout engagements * Conduct PoCs, workshops, presentations, and training sessions on GPU cloud technologies and best practices * Collaborate with clients to understand their business requirements and develop solution architectures * Design and document Infrastructure as Code solutions, technical documentation, and how-tos * Help customers optimize pipeline performance and scalability * Serve as a single point of expertise for customer scenarios across product, technical support, and marketing teams * Assist with marketing efforts during events such as hackathons, conferences, and webinars What You Bring * 5+ years of experience as a cloud solutions architect, system/network engineer, developer, or similar technical role focused on cloud computing * Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, and skills of writing code in Python * Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL) * Solid understanding of the cloud ML tools landscape from industry leaders * Legal authorization to work in the U.S. on a full-time basis without visa sponsorship Key Attributes for Success * Self-starter who thrives in a fast-paced, evolving startup environment * Collaborative team player who can work effectively across different departments and cultures * Results-oriented with a strong sense of ownership and accountability * Innovative problem-solver who can identify new opportunities for growth * Continuous learner, eager to stay updated on the latest AI and cloud computing trends * High ethical standards and integrity, with a commitment to responsible AI development * Passionate about democratizing access to AI infrastructure Why Join? * Competitive compensation ranging from $180,000 to $300,000 per year (negotiable based on experience and location) * Comprehensive benefits package including 100% company-paid medical, dental, and vision coverage for employees and families * 401(k) plan with a 4% match program * Stock options plan * Flexible remote work environment * 20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers * Up to $85/month for mobile and internet * Opportunity to work with cutting-edge AI and cloud technologies * Contribute to sustainable AI infrastructure with energy-efficient data centers * Be part of a team that operates one of the most powerful commercially available supercomputers Interviewing Process * Level 1: Virtual interview with the Talent Acquisition Lead (General fit, Q&A) * Level 2: Virtual interview with the Hiring Manager (Skills assessment) * Level 3: Interview with the C-level (Final round) * Reference and Background Checks: Conducted post-interviews * Offer: Extended to the selected candidate We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Compensation Range: $180K - $300K

Job DescriptionCompany Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. About TheLoops TheLoops, an IFS company, is the first enterprise-grade AI Agent platform built for mission-critical applications and industries. Our AI Agents act as digital coworkers that are governed, secure, always learning, and working 24/7 to drive measurable business outcomes. As the company grows, it is looking for mission-driven individuals to help deliver the future of AI-powered operations. At TheLoops, they: • Lead with Curiosity: They ask questions, learn, and communicate with respect for each other., • Learn by Making: They iterate fast to deliver tangible solutions with humility. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description As a Software Engineer, AI/ML, you will design, build, and optimize the backend systems that power intelligent agent workflows. You will work across data pipelines, APIs, and AI/ML frameworks to create reliable, scalable, and production-ready solutions. This role emphasizes strong software engineering fundamentals, with the added dimension of applying AI/ML concepts to real-world enterprise applications.What You'll Do Backend & Systems Engineering • Build and maintain Python-based services, integrations, and data pipelines that support AI agent functionality., • Develop reusable libraries, APIs, and frameworks to accelerate AI-driven product capabilities., • Implement and optimize workflows leveraging LLMs, embeddings, RAG systems, and vector databases., • Integrate AI/ML libraries and external APIs (e.g., OpenAI, Hugging Face, LangChain, Pinecone, Weaviate)., • Partner with product and core engineering teams to translate requirements into technical solutions., • Contribute to architecture decisions and internal technical documentation., • Support the deployment of agents into enterprise environments with a focus on stability, accuracy, and scale.Qualifications, • 2–5 years of professional experience as a Python Engineer / Backend Engineer (experience with AI/ML is a strong plus)., • Strong proficiency in Python and familiarity with JavaScript/TypeScript for integrations., • Hands-on knowledge of AI/ML frameworks and tools (OpenAI, Hugging Face, LangChain, vector DBs, RAG)., • Understanding of system integration patterns and comfort working with RESTful APIs, JSON, and data pipelines, • Experience with enterprise systems (CRM, ERP, Helpdesk, Developer platforms, HR/Finance systems) is a plus., • Strong debugging, testing, and optimization skills., • Technical Depth: You’ll be proficient in the internal platform, building integrations and Python services with confidence., • AI/ML Impact: You’ll have delivered backend components that integrate AI/ML capabilities into enterprise workflows., • Engineering Excellence: You’ll contribute to reusable libraries, deployment pipelines, and system reliability practices., • Build production-grade AI/ML systems with Python at the core., • Work on backend challenges that bring LLMs and AI agents into real-world enterprise environments., • High ownership and visibility on technical projects., • Competitive compensation, flexible work setup, and the backing of a global enterprise (IFS). Additional Information What We’re Offering • Salary Range: $120,000 to $150,000 plus bonus potential, • Flexible paid time off, including sick and holiday, • Medical, dental, & vision insurance, • Flexible spending accounts, • Life insurance and disability benefits, • Tuition assistance All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

Job DescriptionOur clients mission is to commoditize all forms of intelligence. Operating at the intelligence layer of the AI stack, they believe that building at the intersection of crypto and AI is the optimal path to achieving their mission. As crypto-natives and ML experts with experience across leading Web3 projects, large finance companies, and large tech companies, the team combines deep blockchain knowledge with world-class technical capabilities. Backed by top crypto venture funds and angel investors who share the vision for the future of digital ownership. We are looking for a Senior Distributed Systems Engineer to join the growing team responsible for the design, implementation, and optimization of large-scale, distributed infrastructure that powers the network. This role will focus on building robust, high-performance backend systems, optimizing peer-to-peer networking layers, improving system scalability, and ensuring fault tolerance in adversarial environments. You will join a flat, collaborative environment that emphasizes solving hard problems with precision and speed.Key Responsibilities: • Design, build, and maintain backend services using Go, navigating the full lifecycle from ideation to production., • Collaborate with multiple squads to deliver new features and drive product velocity., • Write reliable, well-tested code that scales under high-demand environments., • Improve the software development lifecycle through effective technical design, lean iteration, and thorough documentation., • Mentor and support peers, contributing to a culture of engineering excellenceKey Requirements:, • 3+ years developing infrastructure in adversarial, peer-to-peer environments (e.g., blockchain nodes)., • 5+ years of development experience in Go (required), JavaScript/Node, TypeScript, Python, or Rust., • 5+ years with both SQL and NoSQL systems., • Strong background in Web3, crypto, DeFi, and AI technologies., • Demonstrated experience building public-facing APIs handling high throughput (≥10⁴ requests per day)., • Excelling in fast-paced startup environments, with strong problem-solving and cross-team collaboration skillsPreferred Requirements:, • Experience with open-source tooling or contributions to developer communities., • Familiarity with the Cosmos SDK or similar protocol frameworks., • Background in AI/ML, statistics, or algorithm design., • Understanding of Solidity and smart contract development., • Exposure to Kafka or other streaming platforms.

Job Description Note for all engineering roles: With the rise of fake applicants and AI-enabled candidate fraud, we have built in additional measures throughout the process to identify such candidates and remove them. About Us People Data Labs (PDL) is the provider of people and company data. We do the heavy lifting of data collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions. Our sole focus is on building the best data available by integrating thousands of compliantly sourced datasets into a single, developer-friendly source of truth. Leading companies across the world use PDL's workforce data to enrich recruiting platforms, power AI models, create custom audiences, and more. We are looking for individuals who can balance extreme ownership with a "one-team, one-dream" mindset. Our customers are trying to solve complex problems, and we only help them achieve their goals as a team. Our Platform Engineering Team oversees the foundational work that the rest of our engineering teams build their success upon. You will be crucial in accelerating our efforts to build standalone data products that enable data teams and independent developers to create innovative solutions at massive scale. In this role, you will be working with a team, defining tools and infrastructure that facilitate big data processing, primarily within AWS. If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for direct contributions, this might be the role for you. We like our engineers to be thoughtful, quirky, and willing to fearlessly try new things. Failure is embraced at PDL as long as we continue to learn and grow from it. What You Get To Do • Manage and improve our growing AWS and data center infrastructures, • Design, implement, and maintain a CI/CD pipeline to improve developer workflows, • Utilize centralized monitoring and logging to improve visibility across the team, • Assist development teams in solving issues around scaling and bottlenecks, • 5-7+ years of software development experience with a background in platform or cloud infrastructure engineering and clear examples of strategic technical problem-solving and implementation, • 3+ years of experience with Python in a production environment, • Strong software development fundamentals and system design experience, • Strong experience with our core technologies (AWS, ElasticSearch / OpenSearch, Python, Docker, scaled data processing technologies), • AWS, including EC2, Lambda, OpenSearch, API Gateway, ALB, others, • Data stores, including Postgres/MySQL, Dynamo, Redis, S3, • Experience with Infrastructure-as-code (IaC) frameworks (e.g. Pulumi, Terraform, CloudFormation, or similar), • Experience with network design, including public/private availability, routing, firewalls/security groups, and VPN, • Experience with Identity and Access Management, • Experience with configuration management tools (e.g. Chef, Puppet, Ansible, etc), • Experience with observability tools such as Datadog for metrics, logging, etc, • Balance high ownership and autonomy with a strong ability to collaborate, • Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities), • Strong written communication skills on Slack/Chat and in documents, • Are experienced in writing data design docs (pipeline design, dataflow, schema design), • Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering, • Expertise with Apache Spark (Java, Scala, and/or Python-based), • Experience with SQL Data Pipeline Development, • Experience supporting developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster, or similar), • Experience with managing, deploying, and ensuring the reliability of streaming platforms (e.g., Kafka), • Experience evaluating data quality and maintaining consistently high standards across new feature releases (e.g., consistency, accuracy, validity, completeness), • Experience using Databricks or similar data-development platforms Great people make great teams. We believe in building highly functional, energetic, and engaging teams to serve our customers. People, Customers, Shareholders, in that order, sets us up for success and delivering on our promises. • Stock, • Competitive Salaries, • Unlimited paid time off, • Medical, dental, & vision insurance, • Health, fitness, and office stipends No C2C, 1099, or Contract-to-Hire. Recruiters need not apply. People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Personal Privacy Policy For California Residents Note: This is a duplicate post of our Senior Software Engineer, Platform role.

Job DescriptionAbout QSIC QSIC is reinventing in-store audio. We use Audio, Intelligence (AI) and Creativity to redefine the value of in-store audio and drive growth for retailers and brands. Our story began in Australia over a decade ago with a love for music and a simple purpose: to create value that others can’t see. We sought to bring that to life through exceptional audio experiences, so we built the leading intelligent in-store audio platform for retailers and brands. At QSIC, in-store audio has never been just “background noise.” Audio has the power to change the atmosphere, spark emotion and shift the atmosphere. When it’s seamlessly woven into an in-store experience, it doesn’t just play – it connects. It engages shoppers without distracting them, influences decisions where it matters most, and elevates the entire shopping journey. Today, QSIC technology powers thousands of stores across three continents, reaching over 100 million shoppers each month. • Experience as a software engineer, having worked on production applications both as a solo contributor and as part of a team. You understand how to get things shipped, and you know the tradeoffs between when to go solo and when team collaboration and alignment is more important.- Built and maintained products in the adtech space.- Comfort working across a range of technology up and down the stack - you can help design the interaction for a React component, implement the API endpoint for it, deploy it to production, and monitor for feature use and production issues.- Working technical fluency in: • Python and Django, or a similar back-end language such as Ruby or Typescript and an eagerness to contribute to the Python codebase.* React or similar front end frameworks.* RESTful API design and implementation.RDBMS fundamentals, particularly MySQL or Postgresql.* Comfort working in cross-functional, agile teams in a fast paced, collaborative environment. We skew towards light-weight Kanban-style processes where we can, with close collaboration between Product, Engineering, Design and non-technical stakeholders.

Job DescriptionAbout QSIC QSIC is reinventing in-store audio. We use Audio, Intelligence (AI) and Creativity to redefine the value of in-store audio and drive growth for retailers and brands. Our story began in Australia over a decade ago with a love for music and a simple purpose: to create value that others can’t see. We sought to bring that to life through exceptional audio experiences, so we built the leading intelligent in-store audio platform for retailers and brands. At QSIC, in-store audio has never been just “background noise.” Audio has the power to change the atmosphere, spark emotion and shift the atmosphere. When it’s seamlessly woven into an in-store experience, it doesn’t just play – it connects. It engages shoppers without distracting them, influences decisions where it matters most, and elevates the entire shopping journey. Today, QSIC technology powers thousands of stores across three continents, reaching over 100 million shoppers each month. • Have experience with:

Job Description This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc. 5000’s ‘Fastest Growing Companies in America’, Luminance is disrupting the legal profession around the globe The Senior Customer Solutions Engineer role offers a unique opportunity to work across Sales, Product and Customer Success, accelerating our customers’ technical teams ability to get connected and unlock the value of Luminance. This role is dedicated to providing a market-leading technical experience for Enterprise customers, enabling them to integrate with our platform faster and with less effort. The ideal candidate will possess a blend of customer-focused skills and a solution mindset, helping customers understand how best to integrate the solutions we offer to accelerate their success. You will get hands-on with our platform and Workflow engine, implementing solutions that unlock seamless legal workflows across a customer’s technology estate. A Senior Customer Solutions Engineer will acquire in-depth knowledge of our AI platform and how it can be effectively integrated into various customer systems. They will work closely with prospective and existing customers to provide expert advice and support, ensuring a seamless and efficient integration process. Collaborating with Account Executives, Product Specialists and Customer Success Managers, the Customer Solutions Engineer will play a crucial role in converting prospects into satisfied, long-term customers. We offer a generous £2000 Learning budget to each employee. We are committed to your growth as we grow too. Responsibilities • Collaborate with Account Executives, Product Specialists and Customer Success Managers to deliver effortless technical experiences., • Act as a technical expert on Luminance’s platform, supporting the sales team in converting prospects into customers by highlighting integration benefits and our solutions for making integration seamless., • Understand individual use cases and integration requirements, advising customers on the best solutions to achieve success quickly and identifying opportunities to iterate on what we provide., • Get hands-on and build integrations for our customer base, ensuring we create seamless workflows across business platforms/applications such as Salesforce, ServiceNow and Slack., • Be the key point of contact for managing integration issues and challenges, • Develop reusable toolkits, APIs, SDKs, and enablement resources to enhance the developer experience to facilitate faster integration., • Create and maintain comprehensive customer-facing API documentation and other technical resources such as Reference Architectures to support developers effectively., • Work with Luminance Support and Technical Operations teams to coordinate and resolve any technical issues for customers., • Bachelor’s or Master’s Degree in Computer Science, Software Engineering, or a related technical field, with a 2:1 or above (UK) or GPA of 3.5 or above (US)., • At least 3-years at a SaaS vendor, preferably in the AI and/or Cybersecurity space, • Strong technical skills with experience in software development, system integration, and creating customer-facing developer resources such APIs, SDKs and documentation., • Experience of Full Stack Web development and Cloud Architecture, • Demonstrable Experience with JavaScript, NodeJS, Python or equivalent frameworks/languages, • Excellent interpersonal and communication skills, both verbal and written., • Articulate, charismatic, and confident in a customer-facing role, with the ability to present technical information clearly to individuals with varying degrees of knowledge., • Highly detail-oriented with a problem-solving attitude., • Ability to work in an innovative and fast-paced environment while delivering to deadlines., • Organized with excellent time management skills and the ability to prioritize effectively., • Prior experience in a customer-facing technical team, focussed on collaborating with developer/technical personas

Job Description About Us: At Parafin, we’re on a mission to grow small businesses. Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities. Join us in creating a future where every small business has the financial tools they need. About the Position We’re seeking an experienced software engineer to join our Infrastructure team to lead key initiatives around security-focused platform engineering. At Parafin, the Infrastructure team owns core platforms spanning cloud infrastructure, compute, networking, developer experience, data infrastructure, and security. In this role, you’ll design and implement scalable, secure systems and tooling that empower engineers to move quickly while maintaining a strong security posture. You’ll play a critical role in shaping how we manage access, secure our compute and networking layers, and build foundational infrastructure that supports our rapidly growing platform. What You’ll Be Doing * Lead the design and implementation of secure, reliable infrastructure platforms—across compute, networking, identity, and policy enforcement. * Own and evolve the security posture of our Kubernetes platform, focusing on isolation, observability, and resilience. * Build and operate systems for managing secrets, service-to-service auth, and access control. * Define and codify best practices in infrastructure security, infrastructure-as-code, and software integrity. * Collaborate with engineers across Infrastructure and Product teams to introduce secure-by-default tooling and abstractions. * Drive improvements to our availability, incident response, and audit capabilities through automation and thoughtful platform design. * Mentor engineers and influence a culture of security-minded engineering across the company. What We’re Searching For * 5+ years of experience in software or infrastructure engineering, with significant focus on secure infrastructure and platform development. * Strong proficiency in coding languages such as Python * Deep expertise with Kubernetes and its surrounding ecosystem (e.g., service mesh, admission controllers, observability, RBAC). * Experience operating cloud infrastructure (preferably AWS), including IAM, VPCs, and secure configuration management. * Proficiency with infrastructure-as-code tools such as Terraform. * Familiarity with secrets management (e.g., Vault), CI/CD hardening, and runtime/container security practices. * Strong problem-solving and debugging skills in distributed systems. * Excellent communication skills and experience collaborating with cross-functional teams. We Prefer If You Have * Experience building or maturing security infrastructure in a fast-paced or regulated environment. * Understanding of compliance requirements in fintech (e.g., SOC 2, PCI) and how to build guardrails that support them. * A track record of building internal tools or reusable platform abstractions adopted by multiple teams. What We Offer * Salary Range: $205k - $250k * Equity grant * Medical, dental & vision insurance * Unlimited PTO & work from home flexibility * Commuter benefits * Free lunches * Paid parental leave * 401(k) * Employee assistance program If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

Job Description Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: As a Developer Advocate at Crusoe, you will be the bridge between our groundbreaking cloud platform and the community of AI developers and ML engineers who are pushing the boundaries of what's possible. You won't just be promoting a product; you'll be championing a new paradigm of sustainable computing. Your core mission will be to empower our users to succeed on Crusoe Cloud. You will create resources, build community, and act as the voice of the developer inside Crusoe, ensuring our product evolution is directly informed by user needs. This is a unique opportunity to build a developer relations program from the ground up at a company with a powerful and compelling story. What You'll Be Working On: * Educate & Empower: Create compelling technical content—including blog posts, tutorials, documentation, video guides, and sample applications—that helps developers get started and succeed with Crusoe Cloud for their AI/ML infrastructure and managed services workloads. * Engage the Community: Foster a vibrant and inclusive community of users. Engage with developers on platforms like Discord, Slack, GitHub, Stack Overflow, and technical forums to answer questions and develop a deep understanding of the needs and challenges of AI infrastructure and ML engineer personas. * Be the Voice of Crusoe: Identify and represent Crusoe at conferences, meetups, webinars, hackathons, and workshops. Deliver engaging technical presentations that showcase the power and environmental benefits of our platform. * Market Intelligence: Track AI developments across cloud infrastructure, MLOps and managed services and convert them into insights that shape Crusoe Cloud’s brand and offerings. * Content Leadership: Produce high-quality, timely content (white papers, newsletters, dev blogs, and social posts) aligned with emerging AI trends and Crusoe Cloud’s unique perspective. Develop compelling narratives, demos, and technical content (“how to” guides, API documentation, open source projects, tutorials, video guides, sample apps, etc.) that highlight the capabilities and benefits of Crusoe Cloud. What You'll Bring to the Table: * 5+ years of experience working at the intersection of engineering and marketing, ideally in a DevRel, technical marketing, or community role. You know how to build trust with developers and communicate technical value credibly. * You can establish credibility and engage with both AI infrastructure engineers and with code-first, "bring-your-own-tools" ML engineers. * Strong proficiency in Python and hands-on experience with at least one major AI/ML framework (e.g., PyTorch, TensorFlow, JAX). * Experience working with cloud computing platforms (e.g., AWS, GCP, Azure) or Managed AI solutions (Together, Fireworks, BaseTen, etc.) and a solid understanding of cloud infrastructure concepts. * Exceptional communication skills, both written and verbal. You can explain complex technical concepts to a diverse audience in a clear and engaging manner. * You’re equally comfortable writing a whitepaper, recording a Loom explainer, drafting a tweet thread, or launching a developer newsletter. * Excellent presentation, interpersonal, and communication skills and experience making complex technical concepts accessible and understandable. * A genuine passion for building communities and helping developers solve problems. You’ve contributed to developer communities, organized events, or created programs that help technical audiences connect, learn, and build together. * A self-starter attitude with the ability to manage your own projects and priorities in a fast-paced environment. * Passion for learning and working with new technologies * Ability to travel up to 25%. Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300 per month Compensation Range Compensation will be paid in the range of up to $177,000 - $215,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job 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. • 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. The salary range for this role is dependent on experience and ranges from $170,000 to >$250,000. We also provide stock options to all employees and generous benefits.

Job DescriptionWe're hiring Staff Engineers across multiple teams to help us scale Plaid’s technical foundation and unlock new product capabilities. You’ll lead high-impact projects that cut across teams, deliver best-in-class systems, and build infrastructure that makes it easier and safer for engineers to ship critical code. As a Staff Engineer, your impact will extend beyond any single codebase, driving architecture for critical Tier-0 systems, or owning the highest priority product engineering initiatives. You’ll partner across product, infra, and security teams to shape durable abstractions, resolve architectural debt, and make systems more reliable and explainable. You’ll work across domains—like identity resolution, data pipelines, access control, and developer experience—owning decisions that improve quality and accelerate delivery at the company level. You’ll also raise the bar for engineering at Plaid. That means driving execution directly on ambitious projects, mentoring other engineers, leading technical reviews, and modeling high-context, low-friction collaboration.Responsibilities • Think in systems. You’ll lead design efforts across infra layers—data pipelines, platform boundaries, service interactions—looking past team lines to improve overall architecture., • Drive execution. You’ll take on large, technically complex projects that require coordination, influence, and deep attention to reliability, security, and maintainability. We expect our Staff+ engineers to stay close to the code, using implementation as a tool to validate architecture, unblock teams, and drive progress on projects., • Level up the team. You’ll mentor engineers, review technical proposals, and contribute to team norms and standards around architecture, testing, and observability.Qualifications, • 8+ years of engineering experience leading projects spanning multiple teams., • Experience designing distributed systems, scaling core infrastructure, and navigating complexity to identify impact., • Exceptional product instincts and the ability to connect technical decisions to user and business outcomes., • Strong coding proficiency in a backend language (e.g., Go, Java, Python) and system-level debugging skills., • Track record of mentorship, elevating technical quality across teams, and influencing without authority.

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 $30 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. Position Summary We are seeking a Staff Data Scientist with experience developing predictive models based on energy to support applications across the company, including predictive maintenance, savings predictions, and more. Our ideal candidate has substantive experience in machine learning and energy data applications, is comfortable owning and prioritizing a roadmap independently, and has experience working with business stakeholders to gather requirements, share results, and drive adoption of data models. In this role, you will scope, prioritize, and execute data modeling projects for teams across the company to use in order to operate more effectively based on energy data. You will also have the opportunity to work closely with other members of the Analytics team to increase our understanding of the energy production and consumption and guide development of ML-friendly energy datasets.Responsibilities • Develop Machine Learning models based on energy data to support a range of use cases across the company, • Work with stakeholders in Operations and Maintenance, Consumer Solutions, and other teams around the company to scope and prioritize data modeling projects that will increase the efficiency and effectiveness of their teams, • Establish best practices for measuring the performance of data models both offline and online and use results educate non-technical stakeholders on value and lifecycle of data products, • Mentor team members on ML projects and take part in tool selection decisions, • Provide guidance to Analytics Engineers on data modeling needs of ML systemsRequirements, • MS in DS, Statistics, MIS, or related technical degree or equivalent work experience, • 7+ years' experience as a Data Scientist or in a similar role, • 7+ years' hands-on experience using SQL or a similar language for data manipulation, • 5+ years' hands-on experience using Python or a similar language for statistical programming, • Experience developing, deploying, and maintaining ML models in MLFlow and/or AWS Sagemaker, including models based on energy production and/or consumption data, • Experience evaluating ML models and communicating results to non-technical stakeholders, • Demonstrated ability to work cross-functionally and collaborate with technical and non-technical teams to productionize and drive adoption of ML models

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: ML/AI Engineers (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough.

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.