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Why We Are Hiring This Role At Source, we're building the foundational data infrastructure for an edge-first world — a world where intelligence lives not in distant clouds but across billions of devices, vehicles, robots, and satellites. AI is breaking free from the data center. The future of intelligence depends on compute that happens where data is created — instantly, privately, and verifiably. Yet today, the edge is fragmented. Developers are forced to trade off between performance and convenience, privacy and usability, autonomy and control. We're changing that. Source is redefining how data is managed, shared, and computed across distributed environments — enabling AI systems to train, adapt, and collaborate directly at the edge. Our edge-first data management stack makes it possible to build a new generation of AI that is: • Edge-first and privacy-preserving — data is processed, verified, and shared directly at the edge., • Verifiable and trustworthy — every interaction can be proven, not just assumed. Why This Role Matters As Lead Edge AI Engineer, you will own Source's edge-AI engineering roadmap and make developing at the edge as natural and powerful as building in the cloud. You'll design the systems that let developers deploy, orchestrate, and verify AI models across edge environments — from federated learning and on-device inference to adaptive compute pipelines running on heterogeneous hardware. This role sits at the intersection of distributed systems, AI infrastructure, and edge computing — bringing together model execution, verifiable computation, and developer experience. You'll help define the standards for how AI operates in decentralized, privacy-preserving networks. Working closely with our research, product, and infrastructure teams, you'll directly impact the company's technical trajectory and define what edge-first AI looks like in practice. Responsibilities • Architect and prototype edge-AI pipelines — enabling local training, inference, and cross-device collaboration., • Build developer-friendly APIs and SDKs that abstract distributed complexity into elegant, efficient experiences., • Optimize performance across constrained and diverse hardware — GPUs, NPUs, and embedded accelerators., • Integrate edge-first data flows with privacy-preserving and verifiable computation frameworks., • Collaborate with product, research, and infrastructure teams to shape the developer experience for edge-native AI., • Deep experience in AI/ML systems and model deployment in real-world edge environments., • Strong proficiency in Rust, Go, C++, or Python., • Familiarity with distributed systems, federated learning, or privacy-preserving AI., • Understanding of edge compute hardware and runtime constraints., • Previous experience in a startup or scale-up environment., • Track record of delivering complex distributed or AI systems end-to-end., • Curiosity for verifiable computing, zero-trust architectures, and data-centric AI design. This is a rare opportunity to build the foundation for edge-native AI at one of the most innovative companies in distributed computing. As Lead Edge AI Engineer, you'll help shape how intelligence operates across billions of edge devices — from chips to constellations. You'll join a small, world-class team defining the next generation of verifiable, decentralized AI infrastructure. At Source, you'll work on deep infrastructure that makes edge-first intelligence possible — systems that bring verifiability, privacy, and autonomy to the next wave of AI. If you've ever wanted to build the data layer that will unlock the edge-first future of AI, this is that moment.

Amplitude is the leading AI analytics platform, helping over 4,700 customers-including Atlassian, Burger King, NBCUniversal, and Square-build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com. As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude's Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion-one focused on psychological safety, empathy, and human connection-that will allow employees of all backgrounds to thrive. About the role and Team At Amplitude, millions of developers instrument their products to understand how users behave. The first code they write with Amplitude is almost always through an SDK. That means our SDKs are not just integrations, they are the developer experience of Amplitude itself. We're building a new kind of SDK team: Most companies hire SDK engineers per language. We don't. We're recruiting AI-assisted SDK wizards, engineers who: • learn new languages quickly, • use AI to accelerate development, • build tooling to scale SDK maintenance, • own developer experience end-to-end This role has unusually large scope and autonomy What You'll Work On • Build and maintain SDKs across many languages (e.g. TypeScript/JavaScript, Python, Go, Java, Swift, Rust), • Use AI to scale SDK development - build systems that allow a small team to maintain many SDKs, • Own developer experience - improve how developers integrate with Amplitude, • Optimize SDK for latency, performance, bundle size, resource load, • Create external-facing agents that take advantage of the signals collected by our SDKs, • Build integrations with third parties, • Drive high engineering standards while knowing when speed beats perfection., • Create a culture where people love the work, move fast, and deliver real outcomes. You Might Be a Great Fit If:, • Experience building SDKs, APIs, or developer platforms., • Open source library maintainership, • Experience across multiple language ecosystems, • Interest in developer experience and tooling, • Experience building platform tooling or code generation systems Why This Team, Why Now?, • Huge scope - own SDKs used by thousands of developers, • Polyglot engineering - work across many ecosystems, • AI-augmented engineering - help define the future of SDK development, • Direct product impact - great SDKs drive adoption of Amplitude Our values: At Amplitude, our values guide how we show up for one another and for our customers: • Humility: We operate from a place of empathy and openness, seeking to understand many points of view., • Ownership: We take the initiative to solve problems that drive our shared company success., • Growth Mindset: We're tenacious in the face of challenges and seek feedback in order to grow ourselves and others., • Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success. We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers. Some of our benefit programs include: • Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans, • 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually, • Flexible time off, paid holidays, and more, • Generous stipends to spend on what matters most to you, whether that's wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more, • Excellent Parental benefits including: 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support, • Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions, • Employee Stock Purchase Program (ESPP) Other fun facts about Amplitude:, • Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2., • We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market., • We invest in our people. We offer mentorship programs, management training, and wellness initiatives., • We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off., • We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL., • We're a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This role is eligible for equity, benefits and other forms of compensation. Based on Colorado law, the following details are for individuals who will work for Amplitude in Colorado. Colorado range: $165,000 - $247,000 total target cash (inclusive of bonus or commission) Based on legislation in New York City, the following details are for individuals who will work for Amplitude in New York City. New York City salary range: $183,000 - $276,000 total target cash (inclusive of bonus or commission) Based on legislation in California, the following details are for individuals who will work for Amplitude in San Francisco Bay Area of California. Salary range: $183,000 - $276,000 total target cash (inclusive of bonus or commission) Based on legislation in California, the following details are for individuals who will work for Amplitude in California outside of the San Francisco Bay Area. California salary range: $165,000 - $247,000 total target cash (inclusive of bonus or commission) Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington state. Washington salary range: $165,000 - $247,000 total target cash (inclusive of bonus or commission) Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington only: unlimited PTO, 10 to 13 holidays annually (will vary), medical dental and vision PPO and CDHP plans. Finally, a company sponsored 401(k) retirement plan. By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice. Staying Safe - Protect Yourself From Recruitment Fraud We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.

The Role Handshake is building the infrastructure layer that powers the next generation of AI agents across our platform. As a Senior Software Engineer on our Agentic Infrastructure team, you'll be at forefront of AI at Handshake, will architect & build the foundational systems that allow AI agents to plan, execute, & operate autonomously at scale. This is a rare greenfield opportunity to define how an AI-first company builds for the agentic era — at the intersection of infrastructure, AI, & direct product impact. * Architect & build the core agent orchestration layer — including tool use, memory, & multi-step reasoning systems — that powers AI-driven features for 20M+ users & 1M+ employers across Handshake's platform * Design evaluation, observability, & reliability frameworks that ensure agent behavior is safe, auditable, & production-ready at scale * Establish engineering standards for agentic development across Handshake's platform teams, enabling every engineer to build with AI * Partner with ML, product, & platform engineers to ship agent-powered features from infrastructure to production at Olympic pace You Have Must-Haves: * 4-7 years of backend engineering experience, with strong proficiency in NodeJS, Typescript, &/or Python * Experience designing & operating distributed systems at significant scale for developer experience * Hands-on experience building with LLM orchestration frameworks (LangChain, LlamaIndex, or similar) * Deep understanding of agent architectures: tool use, multi-step reasoning, memory management, & evaluation * Experience with cloud infrastructure (AWS, GCP, or Azure) & infrastructure-as-code tools like Terraform * Experience with Node, JavaScript, CICD, Docker * A track record of shipping production systems with high reliability, low latency, & strong observability * Strong communication skills & ability to drive alignment across engineering & cross-functional partners Bonus Points: * Open-source contributions to LLM or agent frameworks * Prior experience at an AI-native company or on a dedicated AI platform team We Offer Handshake delivers benefits that help you feel supported — and thrive at work and in life. The below benefits are for full-time US employees. Ownership: Equity in a fast-growing company Financial Wellness: 401(k) match, competitive compensation, financial coaching Family Support: Paid parental leave, fertility benefits, parental coaching Wellbeing: Medical, dental, & vision, mental health support, $500 wellness stipend Growth: $2,000 learning stipend, ongoing development Remote & Office: Internet, commuting, & free lunch/gym in our SF office Time Off: Flexible PTO, 15 holidays + 2 flex days Connection: Team outings & referral bonuses Explore our mission, values, & comprehensive US benefits at joinhandshake.com/careers.

Machine Learning, Platform Engineer San Francisco About the Role Our team focuses on enabling custom models and dedicated inference on Together. We are responsible for building a container platform, optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. We often focus on video or audio generation across the stack: CUDA kernels, pytorch optimization, inference engines, container orchestration, queueing theory, etc. An ideal candidate will be great at profiling/optimization but know the word kubernetes, or be intimately familiar with multi-cluster scheduling and have some sense of ML bottlenecks. Responsibilities • New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools., • Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure, • Partner with product teams to understand functional requirements and deliver solutions that meet business needs, • Write clear, well-tested, and maintainable software and IaC for both new and existing systems, • 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems., • Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or running a cloud provider is a very big plus, • Good taste and ability to thoughtfully discuss how what you've built has failed over time, • Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources, • Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale, • Expert-level programmer in one or more of Python, Golang, Rust, C++, or Haskell, • Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform, • Experience with Kubernetes internals or other container orchestration systems, • Sound judgement for when to use and when to not use LLMs for code, • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at

About GitHub GitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot. Locations In this role you can work from Remote, United States Overview You'll join the Client Apps Platform team, the connective tissue between GitHub's client applications (gh-CLI, Desktop, Mobile) and feature-owning backend teams. You'll build and operate Ruby and Go services, drive architecture and cross team design, and identify opportunities to extract shared platform capabilities to accelerate client teams. This role offers deep exposure to distributed systems, cross-surface architecture, and influencing technical direction across organizational boundaries. About the Team The Client Apps Platform team plays a unique role at GitHub. We focus on facilitation, collaboration, and thoughtful system design, helping navigate the creative tension between client experiences and backend capabilities while building shared platform solutions that scale across GitHub. Responsibilities * Maintain, extend, and operate production level Ruby and Go services powering first party client apps; write readable, testable, and maintainable code integrated with downstream dependencies. * Lead and facilitate technical design and architecture discussions across product, client app engineers, and domain service teams; propose, validate, and document architectural tradeoffs. * Translate client requirements into platform solutions; identify and drive extraction of common functionality from apps into shared platform components. * Collaborate with domain teams to extend or integrate with GitHub's Ruby on Rails monolith when additional domain bandwidth or migrations are required. * Define testing strategies, success metrics, SLOs, and safe rollout/rollback plans; monitor telemetry and service health to drive data informed decisions. * Serve on rotation as on-call/first-responder, lead incident response and postmortems, and implement long-term reliability improvements. * Mentor engineers, participate in code reviews, and champion engineering excellence, automation, and observability across the platform. * Identify cross team dependencies, coordinate workstreams, and resolve conflicts to ensure solutions meet security, performance, and scalability needs. Qualifications Required qualifications * 6+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python * OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or PythonOR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python * OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python. * OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field. * OR equivalent experience. * Demonstrated experience in software and system design for scalable, reliable services. * Strong written and verbal communication skills with experience facilitating cross-team technical discussions. * Proven experience maintaining and operating live services, including monitoring, debugging, and incident response. Preferred qualifications * Hands-on experience with Go and/or Ruby (Ruby on Rails) in production. * Familiarity with GraphQL and RPC frameworks such as Twirp. * Experience building platforms or infrastructure that support multiple client surfaces (mobile, desktop, CLI). * Experience extracting shared libraries/platforms from application codebases and driving adoption. * Proven ability to work within and extend large existing codebases (e.g., monoliths). * Experience defining SLOs, telemetry, and observability tooling. Compensation Range The base salary range for this job is USD $124,000.00 - USD $329,200.00 /Yr. These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. GitHub values * Customer-obsessed * Ship to learn * Growth mindset * Own the outcome * Better together * Diverse and inclusive Manager fundamentals * Model * Coach * Care Leadership principles * Create clarity * Generate energy * Deliver success Who We Are GitHub is the world's leading AI-powered developer platform with 150 million developers and counting. We're also home to the biggest open-source community on earth (and 99% of the world's software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We're remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are-because we know that people flourish when they can work on their own terms. Join us, and let's change the world, together. EEO Statement GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Software Engineer San Francisco Bay Area, CA 6+ Months Contract Scope of Work, Skills and/or Qualifications: • Proficiency in multiple programming languages such as C#, Java, Go, Python, C++, JavaScript, TypeScript (ReactJS), Swift, Kotlin, etc., • Knowledge of front-end development such as HTML, CSS, and JavaScript frameworks for web application development., • Familiarity with database technologies like MySQL, PostgreSQL, and web application/server-side frameworks such as ASP.net, Next.js, Node.js, .NET, .NET Framework, etc., • Understanding of database environment consisting of MySQL, Microsoft SQL Developer, Oracle SQL Developer, MongoDB, Document DB, Snowflake, Databricks, Kubernetes, etc., • Basic knowledge of software development lifecycle (SDLC) and version control systems., • Ability to design intuitive and user-friendly interfaces from an end to end with a focus on the user experience., • Experience with Microsoft Azure Cloud Services (preferred), Amazon Web Services, Oracle Cloud, and/or Google Cloud Platform., • Desirable to have experience in Gitlab, OAuth, and Elasticsearch., • Develop and direct software system validation and testing methods., • Direct software programming initiatives., • Oversee the development of documentation., • Work closely with clients and cross-functional departments to communicate project status and proposals., • Analyze data to effectively coordinate the installation of new systems or the modification of existing systems., • Monitor system performance., • Communicate key project data to team members and build cohesion among teams., • Develop and execute project plans., • Apply best practices and standard operating procedures., • Create innovative solutions to meet the Agency's technical needs.

LiteLLM is the world's most popular AI Gateway used by the largest companies (Adobe, Netflix, NASA, etc.) in the world to give their developers access to LLMs and adjacent services (MCP's, Vector Stores, etc.). About the Role We're looking for a Solutions Architect to collaborate with our key customers, helping them successfully deploy and scale LiteLLM in production. You'll work directly with customers with primarily pre-sales, along with some post-sales, conducting demos, responding on complex architecture issues, and ensuring that our customers extract maximum value from the platform. This role is ideal for someone who thrives in dynamic, customer-facing environments, enjoys solving customer challenges in real-time, and can translate customer needs into actionable product improvements. Responsibilities • Design, implement, and optimize solutions for our customers in pre-sales and post-sales capacities., • Collaborate with customers to identify business needs and tailor product integrations., • Partner closely with engineering and product teams to drive roadmap and deliver mission-critical features., • Serve as a technical and domain expert, bridging the gap between AI innovation and client requirements., • Build and document best practices and solution templates for rapid deployment. Requirements, • 3+ years of experience in sales engineering, solution engineering, technical consulting, or related roles in high-growth startups or tech companies., • Strong experience working with a developer audience, selling a technical product, • Strong technical background; experience with Python and AI/ML products highly preferred., • Excellent communication, relationship-building, and problem-solving skills., • Proven ability to operate with autonomy in fast-paced, high-ownership environments. Why Work At LiteLLM?, • You thrive working directly with customers at a fast-growing startup-scoping complex technical challenges, leading implementation discussions, and driving them to production success, • You love working closely with developers (30K+ Github stars) and being at the intersection of product and customer, • You want to work hard and move fast in a high-impact role, • You want to see firsthand how AI is transforming businesses-our customers run ALL their LLM calls through LiteLLM, • You enjoy the autonomy and variety of working across multiple customer environments and technical stacks About LiteLLM LiteLLM () is a Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere] and is used by companies like Rocket Money, Adobe, Twilio, and Siemens.

Python Software Engineer – Startup - San Francisco. Python Software Engineer is required by a Healthcare AI startup focused on automation for benefit verification and prior authorization. Must have experience in product engineering, preferably with Python, TypeScript, or Go.

Join a high-growth profitable AI startup transforming a deeply broken system with agentic driven software, building products that directly impact the lives and careers of top global talent. This Jobot Job is hosted by: Brandon Bays Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $185,000 - $250,000 per year A bit about us: We’re partnering with a fast growing, engineering led startup building AI powered systems to modernize a complex legacy industry that has historically relied on manual workflows and outdated tooling. In under a year, the company has reached approximately $10M ARR, is already profitable, and is on track to scale to ~$50M ARR in 2026. Their platform is already trusted by top tier startups and technical teams across AI, infrastructure, and developer tooling, helping streamline high stakes and operationally complex processes. The product sits at the intersection of AI, automation, and real world impact, using LLMs and agentic systems to replace hours or weeks of manual work with intelligent, scalable software. This is a rare opportunity to join early at a company with strong product market fit, real revenue, and meaningful mission driven outcomes. We are looking for candidates open to working 3-4 days/week in San Francisco or New York City offices for local collaboration given our stage! Why join us? • 401k with 3% company match, • Medical, dental and vision benefits, • Annual team offsites in cool places, • High impact, mission driven work, • You’ll be building systems that directly affect people’s lives and unlock opportunity for top global talent, • Proven traction and real scale ($10M ARR, profitable, and growing rapidly with a clear path to 5x revenue in 2026), • AI native product from day one, • LLMs and agentic workflows are deeply embedded into the core product, • Engineering led culture, • Small, high caliber team with real ownership over product and technical decisions, • Zero to one through scale challenges, • You’ll work on everything from early architecture decisions to scaling systems for significant growth, • Already integrated into workflows of leading AI and technology companies, • Rapid iteration, frequent shipping, and direct user feedback loops Job Details We’re hiring Senior or Staff Software Engineers, Backend or Full Stack, to help design, build, and scale the core systems powering this platform. These are highly cross functional roles where you’ll work across product, infrastructure, and AI driven systems to solve complex, real world problems. What You’ll Work On • Building agentic systems that automate complex, multi step workflows end to end, • Designing scalable backend systems, APIs, and event driven architectures, • Developing AI powered features using LLMs in production environments, • Improving system performance, reliability, and data models as the product scales, • Building clean, intuitive user facing and internal tools, • Designing integrations with external platforms and services, • 5+ years of experience building and shipping production systems, • Strong backend fundamentals, Python preferred for backend focused engineers, • Full stack experience across modern web frameworks is a plus and flexible on stack, • Experience with distributed systems, async processing, or event driven architectures, • Interest or experience in building AI native or LLM powered products, • Strong product instincts and attention to detail, • High ownership mindset and comfort operating in ambiguous, fast moving environments Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. 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Job Description The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data. At HumanSignal, we're building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise. Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it's the most widely adopted OSS solution for teams working on building AI systems. Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we're doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we'd love to talk. This is a product-engineering role: not "build what you're told," but shape what we build—own the problem, propose solutions, and ship outcomes that matter to users and the business. About the role We're hiring a Senior Full-Stack Engineer with product vision. You'll build end-to-end features across React/TypeScript and Python/Django, shaping APIs, data models, and background jobs while keeping UIs fast, accessible, and trustworthy. You'll partner early with PM/Design to frame problems, prototype to learn, and make pragmatic scope calls—so complex, data-heavy workflows feel simple, performant, and reliable. Responsibilities • Build full-stack features: React/TypeScript on the client; Django/REST services, data models, and background jobs on the server., • Own outcomes, not tasks: refine scope, suggest trade-offs, propose simpler approaches, and land increments that deliver value fast., • Design clean API contracts and evolve schemas/migrations; improve performance and reliability (query tuning, caching, job orchestration)., • Partner with Product & Design from discovery to delivery: clarify user jobs, write lightweight RFCs/PRDs, and shape scope and milestones., • Keep UIs accessible and responsive; add solid error-handling and failure-mode UX., • Raise engineering standards: testing strategy, code quality, observability hooks, resilience patterns., • Partner with Support to investigate production issues, reduce UX papercuts, and turn learnings into fixes., • Engage with our open-source community (issues, discussions) to understand real-world needs and improve developer experience., • Participate in architecture discussions and code reviews; mentor teammates and improve patterns across the codebase. What you'll bring • Senior-level experience shipping production full-stack features (React/TypeScript + Python/Django + SQL)., • Strong product sense: you've made scope/trade-off decisions and iterated based on real-world usage and feedback., • Fluency with modern FE tooling (e.g., Vite/Webpack, Jest/Cypress) and state-management patterns., • Backend depth: REST API design, relational modeling, migrations, performance tuning, and background job patterns., • Excellent communication at a Senior IC level—you write clear RFCs/PRDs, give actionable reviews, and present trade-offs well., • Nice to have: GraphQL familiarity; Kafka/queues/streaming; Spark/BigQuery; auth/RBAC; multi-tenant SaaS; design-system experience. Our stack Python/Django, JS/TS, React, OpenAI API, Spark, BigQuery, Kafka, Jest, Cypress, AWS, Kubernetes, Postgres, Redis. How we build Trunk-based development with small, reviewable PRs; feature flags for safe rollouts; strong code reviews; pragmatic testing; and close collaboration with Product/Design/Support. How we work At HumanSignal, we follow a six-week cycle known as "Build and Ship" followed by a "Cooldown." During the first four weeks, the team focuses on creating new features and shipping improvements. We also rotate a small group to handle customer support, ensuring everyone stays in touch with real user needs and we can respond quickly to issues. After those four weeks, we have a two-week "Cooldown" period. This is when we tackle technical debt, refine our integration processes, and wrap up those lingering tasks that never quite fit into regular sprints but really help us feel good about our codebase and workflows. Location & Compensation At HumanSignal we pay based on regional compensation market rate ranges across the globe. We are hiring for this role across North and South America as well as Europe. The base cash compensation range is $140,000 to $200,000 USD. These ranges are provided by market data and are in good faith. The final offer details are determined by several factors including candidate experience, expertise, as well as applicable industry knowledge and may vary from the pay ranges listed above. It's an exciting time at HumanSignal. We're growing quickly, and roles evolve as we learn. We've put thought into your first initiatives, but we'll refine them together. If this sounds exciting, come build with us.

Job Description Stuut is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We’re hiring a Forward Deployed Engineer to work directly with our customers—bringing technical expertise, problem-solving skills, and a builder’s mindset to every engagement. You’ll own onboarding and implementation for new customers, integrate Stuut with their ERP and workflow systems, and deliver custom solutions that drive measurable results. This is a high-impact role for someone who can write production-quality code, communicate with both executives and engineers, and thrive in the field. You’ll act as the bridge between customer needs and Stuut’s platform, ensuring each deployment delivers real value while helping shape the future of our product. What You’ll Do * Lead Implementations: Manage onboarding from setup through integration and launch for new customers. * Integrate & Automate: Own integrations with platforms like Netsuite, SAP, Salesforce, and other ERPs; write scripts, build automations, and develop custom solutions as needed. * Collaborate Cross-Functionally: Work with Sales and Customer Success to deliver a seamless technical customer journey. * Drive Process Improvements: Identify and fix inefficiencies in our deployment workflows. * Influence the Product: Provide real-world feedback to the product team to help shape the roadmap. * Support Scale: Build technical documentation and internal tools to make customer deployment faster and easier. * Be in the Field: Travel to client sites to meet customers, deploy solutions, and build relationships. You Might Be a Fit If You… * Have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementations Engineer, FDE). * Are fluent in Python and skilled with modern integration technologies (APIs, ETL/ELT, enterprise auth). * Take ownership and have a bias toward building and improving. * Have experience working with sales teams in both pre- and post-sales contexts. * Have worked in startups or high-growth environments. * (Nice to Have) Experience with AI/ML-powered automation, fintech integrations, developer tools, cloud platforms, or containerization. Compensation * Top-of-market salary and equity package * Benefits (for U.S.-based full-time employees) * Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO * Parental Leave Compensation Range: $150K - $240K

Job DescriptionRETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you. ABOUT THE ROLE: Software Engineers at Bright Machines are responsible for defining and implementing the systems that make Software Defined Manufacturing possible and that power our flexible robotic manufacturing lines. Our robots, and the software that controls them, are deployed in a variety of factory conditions and help support the manufacturing operations for some of the biggest names in the industry. As a Senior Software Engineer, you will build scalable systems that help our users program, deploy, and operate our automation equipment. You will work with other Engineers in the Bright Machines San Francisco office to define, architect, implement, and deploy our software stack – from robot to cloud. If you’re ready to apply exceptional engineering practices and build the software that will define the next generation in manufacturing, this is your opportunity to “Be Bright”. WHAT YOU WILL BE DOING * Help design, develop and deploy software components that help realize Bright Machines vision of Software Defined Manufacturing * Contribute best-in-class programming skills to develop reliable and scalable frameworks and infrastructure * Write clean, maintainable code, and perform peer code-reviews * Create unit, integration, and end-to-end tests to ensure we are continually shipping code to production * Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility * Work in an Agile/Scrum environment to deliver high quality software against aggressive schedules * Pair with adjacent teams to understand how your frameworks and infrastructure are actually used in the field, providing tier 3 remote support for production systems, continuously improving them and leveraging recent advances to improve developer velocity WHAT WE WANT TO SEE • Experience with Robotics, • At least 4 of the following with experience in a production environment: Software Development, On Prem infrastructure, Networking, Distributed Systems, Storage, Infrastructure As Code, Cloud infrastructure, Security Engineering, Robotics Software, Systems Development Engineer, • B.S. or M.S. degree (or equivalent) in Computer Science, Engineering, Mathematics, or a related field, • 5+ years of job experience as Software Engineer or equivalent role, • Proficiency in a variety of modern programming languages (Python, Javascript, C#, Go, etc), • Ability to work in a variety of compute environments (Windows, Linux, AWS/Azure)IT WOULD BE GREAT IF YOU HAD Development experience on both frontend and backend of production systems * Experience communicating with users, technical leaders and management to collect requirements, describe system designs, and architecting software systems that meets your stakeholders needs * Knowledge and demonstrated application of software engineering best practices relating to the SDLC including coding standards, code reviews, SCM, CI/CD, testing, and operations * Demonstrated ability to mentor and grow other team members * Fluency in Spanish (technical) BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations. 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 The Problem Severe mental illness affects over 15 million adults in the United States. Schizophrenia. Schizoaffective disorder. Bipolar I. Treatment-resistant depression. These are the conditions the rest of healthcare has systematically failed to build for. What makes this problem different from most of healthcare is that the tools to solve it do not exist. The clinical protocols, the measurement science, the precision medicine, the technology to deliver coordinated longitudinal outpatient care for this population. None of it has been built. This is a frontier problem, and it requires frontier science and care delivery to solve. We are developing all of it. The care, the science, the technology. Who We Are Amae Health is a Series B, venture-backed Public Benefit Corporation delivering specialty outpatient care for people with severe mental illness through high-acuity, in-person clinics nationwide. Our integrated model brings psychiatry, therapy, primary care, dietitians, and community support together under one roof. Leading health systems—including NewYork-Presbyterian, Cedars-Sinai, Mass General Brigham, Novant Health, and CommonSpirit—partner with us to expand this level of care. Alongside care delivery, we are building the science and technology the field has long lacked—proprietary clinical protocols, novel measurement, and an AI-driven data platform designed for severe mental illness. The impact: fewer hospitalizations, greater stability, and more people living meaningful lives in their communities. The Team We are clinicians, operators, technologists, and scientists who chose Amae because the problem is hard and the stakes are real. We are not interested in incremental improvements to a broken system—we are redefining it. Every function—finance, product, people, growth, technology—exists to serve one goal: better outcomes for the people we care for. The Role We are seeking a Senior/Staff Full-Stack Software Engineer to help build and scale Amae Health's patient and clinic-facing technology platform. In this hands-on individual contributor role based in San Francisco (in-person, full-time), your work will be central to shaping how patients and families access our precision psychiatry services. What You'll Work On • Design, develop, and ship full-stack web applications using Next.js, React, TypeScript, and Node.js, • Architect, implement, and maintain APIs and backend services that power our clinical and patient-facing experiences, • Deploy, monitor, and scale production systems using Vercel, AWS, or similar cloud infrastructure, • Integrate securely with healthcare data sources (EHRs, FHIR, HL7) in compliance with HIPAA and related regulations, • Collaborate closely with product, design, and clinical teams to turn real-world healthcare workflows into intuitive, performant software, • Write clean, testable, maintainable code and contribute to internal tooling, documentation, and developer experience, • Help shape Amae's long-term technical direction by mentoring teammates through code reviews and architectural discussions, • 5+ years of experience building and shipping full-stack web applications, • Deep proficiency in React, Next.js, TypeScript, and modern front-end tooling, • Strong backend experience in Node.js (Python a plus) and SQL/PostgreSQL, • Experience deploying and managing applications on Vercel, AWS, or equivalent cloud environments, • Familiarity with FHIR, HL7, and healthcare interoperability standards (nice-to-have), • Solid understanding of security, authentication/authorization, and data privacy best practices, • Comfortable in a fast-paced startup environment balancing rapid iteration with sound engineering discipline, • Degree in Computer Science, Engineering, or equivalent experience Most healthcare companies ask you to optimize an existing system. We're building one that has never existed. • A national care model designed for the highest-acuity patients in behavioral health., • Precision medicine for severe mental illness, using multimodal clinical, behavioral, and social data to personalize treatment., • A clinical operating system that integrates longitudinal data, real-time patient signals, and purpose-built tools into a single decision layer., • New science and measurement frameworks to define what real outcomes look like in SMI. Amae Health is committed to fair and equitable compensation practices. Base salary range for this role is $175,000 to $220,000 per year based on level and a full-time schedule; the compensation package will include equity. Total compensation includes comprehensive medical/dental/vision, unlimited PTO, parental leave, and programs built around employee well-being. We'll share specifics during the interview process. Amae Health is building the care platform, the precision medicine, and the frontier science that severe mental illness has never had. If you want to be part of creating something this hard and this important, something that has never been done, we'd like to talk. What We Value We center care in all we do. Empathy is not a brand value. It's how we make clinical decisions, build products, and treat each other. We challenge convention. The existing system is the problem. We question it, we test alternatives, and we move with urgency when something works. We take the work seriously, not ourselves. High standards and humanity are not in tension. We hold a hard bar for quality while leaving room for humor and levity. Your job isn't done until the job is done. We close gaps, we follow through, and we don't hide behind titles or org charts. We win together and fail together. We own outcomes as a team. We learn fast. We don't do blame. We hustle with humility. Speed matters. So does integrity. We assume best intent and stay grounded in the mission.

Job Description Jiffy.com is seeking a Software Development Engineer II with deep hands-on experience orchestrating AI coding agents to ship production software at pace. Reporting directly to an Engineering Manager and working closely with Product, Design, and other engineering teams, you will lead the charge on delivering end-to-end features across our e-commerce platform from storefront and checkout to internal tools and platform services while running multiple AI-driven work streams in parallel. At Jiffy, engineers no longer write code by hand: every line that reaches production is produced, tested, reviewed, and deployed by coding agents (Claude Code, Codex, Cursor) under the direction of a human orchestrator. This role is perfect for a senior IC who has already internalized the shift from “typing code” to “directing agents,” has strong architectural taste and review instincts, and wants to help define what an AI-native engineering org looks like. You will thrive here if you are a systems thinker, a builder by nature, and someone who gets more done by managing five parallel agents well than by writing a single function perfectly. Key Responsibilities • Orchestrate AI coding agents (Claude Code, Codex, Cursor) across 3–6 concurrent work streams spanning features, refactors, bug fixes, and investigations using worktrees, sub-agents, and background tasks to maximize parallel throughput., • Own features end-to-end: translate product intent into clear specifications, decompose work into agent-executable plans, drive agents through implementation, review every diff critically, run QA, land PRs, and verify production health., • Design and architect scalable, reliable systems across our stack Rails 8 / Solidus e-commerce, GraphQL APIs, React 19 front end, Kubernetes infrastructure holding the architectural and judgment calls that agents cannot make., • Raise the quality bar on AI-generated code by catching hallucinated APIs, enforcing secure and idiomatic patterns, and pushing back on output that is technically working but structurally wrong., • Build and evolve Jiffy’s internal AI tooling: author skills, rules, prompts, MCP integrations, and evaluation harnesses that make the whole engineering org faster. Contribute to our shared .ai/ skills and rules library., • Operate with production rigor: drive agents to produce meaningful test coverage (RSpec, Vitest, Playwright), monitor deploys, respond to incidents, and fully own the services you ship., • Partner cross-functionally with Product, Design, Ops, and peer engineering teams to define and ship features; participate in architecture and code reviews; mentor engineers on AI-native workflows and orchestration patterns., • Bachelor’s degree in Computer Science, Engineering, or a related field., • 5+ years of professional software engineering experience shipping production systems at scale., • Hands-on experience using AI coding agents (Claude Code, Codex, Cursor, or equivalent) as a primary development tool. This is mandatory. You must be able to walk through real features, refactors, or investigations delivered through agent orchestration — not occasional autocomplete usage., • Proven ability to run multiple agents in parallel and manage concurrent work streams without losing quality, context, or accountability., • Strong software design fundamentals: OO design, API design, data modeling, distributed-system reliability, and performance., • Proficiency in at least one server-side language (Ruby, Python, Go, Java, or equivalent) and one modern front-end stack (React / TypeScript or equivalent), with the expectation that agents produce the code while you direct, review, and validate it., • Experience with relational databases (Postgres / MySQL), SQL, and building or consuming REST or GraphQL APIs., • Elite code-review skills: the ability to read, critique, and correct diffs at speed is the core competency of an AI-first engineer., • Strong written communication — clear intent, clear PR descriptions, clear prompts. In an AI-first org, writing is the programming interface., • A high level of integrity, accountability, and ownership, with a commitment to excellence across every deliverable., • Desire to work in a fast-paced, ambiguous, high-autonomy environment.Preferred Qualifications, • AI Tooling Builder: Experience authoring or extending AI developer tooling — custom skills, slash commands, MCP servers, sub-agents, evaluation harnesses, or prompt libraries used by a team., • E-commerce Depth: Experience with Ruby on Rails and Solidus / Spree, or other large-scale e-commerce platforms., • Modern Front End: Experience with React 19, TypeScript, GraphQL (Apollo), Tailwind, and modern state management (React Query, XState, Jotai)., • Cloud Native Operations: Experience operating services on Kubernetes (Istio, KEDA, Flagger) and modern observability stacks, • Automated QA at Scale: Experience driving agents to maintain and extend test suites with Playwright, Vitest, and RSpec., • AI-Native Leadership: Track record of mentoring engineers on AI-native workflows, publishing internal patterns, or leading an organization through the shift away from manual coding., • Measurable Throughput Gains: Documented improvements in features-per-week, cycle time, or review time directly attributable to AI adoption. What We Offer The base compensation for this role is expected to range from $170,000 - $220,000 per year. Actual compensation will be based on a variety of factors, including skills, experience, qualifications, and overall fit for the role. Total compensation may include base salary, performance-based bonuses, equity, and benefits. Final offers are tailored to each candidate and take into consideration their background and years of experience. • Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy., • Retirement Planning: 401(k), • Wellness Support: Annual wellness benefits to help you stay healthy and balanced., • Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup., • Perks & Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with!, • Professional Development: Annual stipend to support your learning and career growth. EEO Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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

Job Description:\n\nCompany DescriptionApplication Opening: February 19, 2026Application Deadline: Apply Immediately. This recruitment is considered open until filled and will close no sooner than May 4, 2026.Salary Range: $145,548.00 - $197,184.00 annually (click here to learn more). This posting has been amended as follows:4/15/2026: Updated to reflect extended application period and additional information in the concluding section.2/27/2026: Updated the Job Title, Desirable Qualifications, and Salary Range details to reflect the complexity and advanced responsibilities of this role.2/23/2026: Updated the Nature of Work to include additional telecommute policy information. Are you ready to make an impact in one of the most innovative cities? The San Francisco Department of Technology (DT) is looking for passionate IT professionals to help shape the future of technology in San Francisco! As the centralized technology services provider for the City and County of San Francisco (CCSF), DT delivers critical infrastructure and services to over 33,000 employees—supporting public safety, municipal broadband, cybersecurity, cloud solutions, and more! With a $140M+ annual budget and a team of 300+ experts, DT is leading the charge in digital transformation. DT provides services through our core areas of IT Excellence:IT Project Management OfficeEnterprise Application ServicesCloud Center of ExcellenceIT Operations and Support including the Service Desk and NOCCity Infrastructure including the Network, Telcom and Data CentersOffice of Cybersecurity including Cyber Defense, Identity Management and Disaster RecoveryPublic Safety Systems and Municipal Broadband FiberSFGovTV Broadcasting ServicesIT Finance and Administration ServicesEmerging Technologies Why Join Us? Innovative & Impactful Work At DT, you won’t just work on IT—you’ll power a city. Your expertise will directly impact the residents of San Francisco, from closing the digital divide to ensuring secure, efficient city operations. Benefits of Working for CCSF: In addition to challenging and rewarding work, the City provides a generous suite of benefits to its employees.Competitive pay, benefits, and retirement optionsCareer growth opportunities through training, internal mobility, and subsidized educationDiverse work environment in a diverse cityWe offer employees the ability to work from home one day a week while spending the other four days in our San Francisco office, promoting both collaboration and work-life balance. Join the team that’s shaping the future of technology in San Francisco. Apply today and be part of a dynamic, innovative, and mission-driven IT team!Job Description The Department of Technology’s Justice Tracking Information System (JUSTIS) team is responsible for designing, operating, and modernizing the City and County of San Francisco’s criminal justice data exchange platform. JUSTIS enables secure, real-time information sharing among multiple criminal justice partner agencies, supporting mission-critical operations that run 24 hours a day, 7 days a week. The Principal System Integration Engineer is a key technical contributor on the JUSTIS development team, responsible for building and maintaining the APIs, integration services, and backend components that power the JUSTIS Data Exchange Hub. This role focuses on developing secure, reliable, and scalable system-to-system integrations that allow partner agencies to exchange criminal justice data in compliance with local, state, and federal requirements governing privacy, security, and access to sensitive information. Working closely with system architects, technical leadership, project management, and partner agencies, the Software Developer performs complex, hands-on development work across development, test, and production environments. This position requires strong expertise in application development, system integration, database development, and DevOps practices, with a primary emphasis on API-driven data exchange and enterprise integration solutions that support high-availability justice systems. As a member of the JUSTIS development team, the Principal System Integration Engineer is responsible for the design, development, enhancement, and operational support of the JUSTIS Data Exchange Hub and its associated integration services. The developer plays a hands-on role in ensuring that justice data flows reliably, securely, and efficiently between partner agency systems. This position requires a strong balance of technical depth, operational awareness, and collaboration, as the work directly supports mission-critical justice operations across multiple City agencies. Essential duties include, but are not limited to, the following: Application & Integration DevelopmentDesign, develop, and maintain RESTful APIs and backend services that support real-time criminal justice data exchange.Build reusable, testable server-side components using Python and Java to support system integrations.Implement and maintain secure integration patterns using REST, JSON, and event-driven approaches; maintain working knowledge of SOAP and XML as required.Develop and maintain database structures, including tables, views, and PL/SQL procedures, primarily using Oracle (12c/19c). System Integration & Operational SupportSupport integration services across development, testing, and production environments for 24x7, mission-critical systems.Collaborate with architects, analysts, and partner agencies to design integration solutions that meet operational needs and long-term sustainability goals.Troubleshoot and resolve complex integration, performance, and data-quality issues in production and pre-production environments.Monitor and support system reliability, availability, and performance in coordination with technical leadership. DevOps, Quality & Release ManagementImplement and support CI/CD pipelines to ensure consistent, reliable, and auditable deployments.Participate in code reviews to ensure adherence to development standards, security requirements, and maintainability.Develop and maintain unit and integration tests to support software quality and system stability.Support release planning, deployment activities, and post-release validation. Security, Compliance & Data StewardshipDesign and implement solutions that comply with CJIS and other criminal justice security and privacy requirements.Apply secure coding practices and support audits, reviews, and compliance activities as required.Ensure appropriate logging, access controls, and monitoring are implemented across integration components. Collaboration & Team ContributionWork collaboratively as part of a cross-functional development team supporting the JUSTIS platform.Communicate technical concepts clearly to both technical and non-technical stakeholders.Contribute to technical documentation, system diagrams, and operational support materials.Support teammates and share knowledge to strengthen the overall capability of the JUSTIS team. Appointment Type: Temporary Exempt (TEX), Full Time position is excluded by the Charter from the competitive civil service examination process and shall serve at the discretion of the appointing officer. The anticipated duration of this project position is thirty-six (36) months. Work Location: Incumbent will conduct most of the work at the Department of Technology, 1 South Van Ness Avenue, San Francisco, CA 94103. However, there may be situations where the incumbent will be required to work at other sites throughout the City and County of San Francisco as necessary. Nature of Work: This is a full-time position. The department supports a hybrid work schedule in compliance with City & County of San Francisco policies on remote work, which currently requires onsite work of a minimum of two (2) days per week. Position may require sufficient strength and coordination for lifting, pushing, pulling and/or carrying the weight of computer equipment. May require hand/eye coordination and manual dexterity for data entry. May involve extensive VDT exposure.Qualifications Minimum Qualifications Education: An associate degree in computer science or closely related field from an accredited college or university OR its equivalent in terms of total course credits/units [i.e., at least sixty (60) semester or ninety (90) quarter credits/units with a minimum of twenty (20) semester or thirty (30) quarter credits/units in computer science or a closely-related field]. Experience: Five (5) years of experience in applications or software programming or development. Substitution: Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of two (2) years). One (1) year is equivalent to thirty (30) semester units or forty-five (45) quarter units with a minimum of 10 semester / 15 quarter units in computer science or a closely related field. Desirable QualificationsAt least 8 years of experience developing and supporting enterprise-scale applications or system integrations.Strong experience designing, developing, and maintaining APIs and integration services in production environments.Demonstrated expertise with Python and object-oriented programming languages such as Java, C#, or C++.Advanced experience with relational databases, including Oracle, PL/SQL, and complex SQL development.Experience with event-driven or message-based integration patterns and middleware technologies.Proficiency with CI/CD pipelines, version control systems (Git), and modern DevOps practices.Strong unit testing, debugging, and performance-tuning skills.Experience working in highly regulated environments involving sensitive or protected data.Familiarity with criminal justice, public safety, or government data-sharing systems is highly desirable.Experience working in Agile or iterative development environments.Demonstrated ability to work effectively in high-availability, high-stakes operational environments.Strong collaboration skills and a proven willingness to support and mentor team members.Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) to improve productivity, code quality, and documentation.Bachelor’s degree in computer science, information systems, engineering, or a closely related field. VerificationPlease make sure it is clear in your application exactly how you meet the minimum qualifications. Every application is reviewed to ensure that you meet the minimum qualifications as listed in the job ad. Please review our articles on Employment Application and Minimum Qualifications and Verification of Experience and/or Education for considerations taken when reviewing applications. Note: Falsifying one’s education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. Applicants must meet the minimum qualifications requirement by the final application deadline unless otherwise noted.Additional Information Selection Procedures The selection process will include evaluation of applications in relation to minimum requirements and assessment of candidates’ job-related knowledge, skills and abilities. Depending on the number of applicants, the Department may establish and implement additional screening mechanisms to evaluate candidate qualifications. This typically includes an oral interview and/or a written or performance exercise. If this becomes necessary, only those applicants whose qualifications most closely meet the Department needs will be invited to continue in the selection process. Applicants meeting the minimum requirements are not guaranteed advancement in the selection process. Additional Information Regarding Employment with the City and County of San Francisco: Information About the Hiring ProcessConviction HistoryEmployee Benefits OverviewEqual Employment OpportunityDisaster Service WorkerADA AccommodationRight to WorkCopies of Application DocumentsDiversity Statement How to Apply: Applicants are encouraged to apply immediately as this recruitment may close at any time, but not before April 8, 2026.Your application MUST include a resume. To upload, please attach using the "additional attachments" function. You may contact Sean Sexton via email at with questions regarding this opportunity. Late or incomplete submissions will not be considered. Mailed, hand delivered or faxed documents/applications will not be accepted. Resumes will not be accepted in lieu of a completed City and County of San Francisco application. For best practices on the application process, please visit Apply for Jobs in the City and County of San Francisco Best Practices Guide. Applicants may be contacted by email about this announcement and, therefore, it is their responsibility to ensure that their registered email address is accurate and kept up-to-date. Also, applicants must ensure that email from CCSF is not blocked on their computer by a spam filter. To prevent blocking, applicants should set up their email to accept CCSF mail from the following addresses @sfgov.org, @sfdpw.org, @sfport.com, @flysfo.com, @sfwater.org, @sfdph.org, @asianart.org, @sfmta.com, @sfpl.org, @dcyf.org, @first5sf.org, @famsf.org, @ccsf.edu, @smartalerts.info, and @smartrecruiters.com). Applicants will receive a confirmation email that their online application has been received in response to every announcement for which they file. Applicants should retain this confirmation email for their records. Failure to receive this email means that the online application was not submitted or received. We are committed to ensuring that the City's services are inclusive, efficient, equitable, and culturally competent for San Franciscans of all races, ethnic backgrounds, religions, and sexual orientations. This commitment requires comprehensive review and thorough analysis of existing practices and policies to remove barriers to real inclusion. We are also committed to ensuring that we have a safe, equitable, and inclusive workplace for individuals of all races. This includes creating opportunities for hiring, promotion, training, and development, for all employees, including but not limited to Black, Indigenous, and people of color (BIPOC). The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

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

Job Description What This Role Requires: • 2-5 years of IT developer experience after your degree., • Must have basic coding experience of any tech from this (Java, C#, C, C++, Python, React Native, JavaScript, type script. Flutter, Dart, Kotlin & Java), • Basic knowledge in IOS frameworks like swift, swift UI., • Good knowledge of web technologies and UI/UX designs., • Sound understanding of the entire Software Development Lifecycle, • Developing software with Agile Scrum or Kanban methodologies, • Experience with REST Web APIs (Json /XML) using a VCS like Git or SVN, • You should be willing to relocate anywhere in the US on a client project-to-project basis, as this is an onsite, in-office position., • Strong English communication skills, both written and verbal., • Gain valuable, career-enhancing experience working with our Fortune 1,000 clients., • Receive relocation support for training and project assignments, as required., • Enjoy comprehensive W2 employee benefits., • Access full coverage medical, dental, and vision insurance., • We are a premier IT consulting firm specializing in delivering top-tier iOS solutions to companies across various sectors such as finance, energy, ecommerce, logistics, travel, retail, entertainment, automotive, and healthcare. As a consultant, joining our team means you'll also have the opportunity to work with these renowned and leading companies and gain valuable, career-accelerating experience.

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 Build features and extensions to our agentic AI platform using scalable, robust, and AI-first software engineering practices. Design tools and infrastructure to enable teams at GoodLeap to easily build and enhance AI agents that empower homeowners, contractors, and operations staff. Work alongside a team of AI engineers, product managers, and data scientists to evaluate and improve our agent ecosystem.Essential Job Duties & Responsibilities • Collaborate with Staff engineers, product, architecture, and design leads to deliver highly-available, fault-tolerant products and services., • Work on significant and unique technical challenges, evaluate and recommend solutions, and guide decision making by considering technical tradeoffs., • Grasp both the technical and business perspective so you can help drive innovation., • Work autonomously and be self-disciplined, requiring minimal supervision or guidance., • Collaborate with other team members and coach more junior team members to grow both their technical skills and soft skills.Required Skills, Knowledge and Abilities, • 5+ years of experience building and shipping scalable, robust backend services and APIs, • Strong proficiency in Python and/or TypeScript, • Solid understanding of distributed systems, service-oriented architecture, and event-driven patterns (e.g. Kafka, RabbitMQ, SQS), • Passion for software development, emerging technologies and culture of innovation, • A collaborative mindset and interest in mentoring teammates and elevating team practices, • Excellent communication and interpersonal skillsPreferred Qualifications, • Experience building internal developer platforms, SDKs, or shared libraries consumed by other engineering teams, • Exposure to prompt engineering, LLM evaluation, or fine-tuning workflows, • Contributions to open-source projects or technical communities

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

Job DescriptionChef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production—a sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles cannot be offshored, making robotics essential to keeping production onshore and strengthening America’s manufacturing base. Backed by investors like Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and supported by a world-class team from companies such as Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen. About the Role We’re seeking a Staff Software Engineer to provide hands-on technical leadership for the core software platform that powers our production robotic systems. This role owns the on-robot software stack end to end, from Linux-based platform software and robotics middleware through fleet management, deployment, and cloud connectivity. You'll work across software and data engineering, partnering closely with Autonomy, Hardware, Product, and Field Operations to deliver production-ready robotic systems for Tier 1 food production customers.Technical Architecture & Platform Leadership • Define and evolve the architecture for on-robot software, including OS configuration, hardware abstraction, middleware, and system services, • Lead middleware architecture decisions for real-time robot control, sensor integration, and inter-process communication, • Establish patterns for full-stack development, connecting on-robot systems to cloud services and web interfacesHands-On Engineering, • Write production code for high-impact features across the stack: robotics middleware, backend services, and cloud infrastructure, • Lead critical technical initiatives, including robotic platform software, cloud data pipelines, and fleet management platform, • Build robust deployment, monitoring, and OTA update systems for production robot fleets, • Debug the most challenging issues from kernel/driver level through the application layerEngineering Excellence & Mentorship, • Establish engineering standards and processes that balance rigor with startup agility, • Champion reliability, observability, and testing practices across embedded and cloud systems, • Mentor engineers through code reviews, design discussions, and pairing sessions, • Collaborate with Hardware and Autonomy teams on system integration and performance optimization, • Build and maintain internal and developer tooling that acts as a force multiplier across the organizationRequired Qualification, • 8+ years of software engineering with 3+ years in technical leadership roles, • Track record delivering production robotic systems, IoT devices, or autonomous systems at scale, • Experience designing reliable systems for B2B/enterprise deployments, • On-device platform expertise: OS configuration, device drivers, system services, networking stack configuration, • Robotics middleware: ROS/ROS2, real-time systems, sensor integration, • Infrastructure: Containerization (Docker/K8s), CI/CD pipelines, monitoring/observabilityNice to have, • Collaborative robots (Universal Robots UR5E or similar cobots), • Over-the-air update systems and remote device management at scale, • Background in manufacturing/production environments, • Track record at high-growth hardware/robotics startups, • Cloud experience: AWS/GCP/Azure

Job Description About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List. Senior Security Engineer Our Engineering Standards at Karbon: Balance Speed and Quality Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential. Collaborate Effectively Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments. Build and Maintain Systems Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement. Operate with Autonomy A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise. Ownership and Accountability Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments. AI-Enabled Engineering AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential. Contribute to Team Culture Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration. About the Role! Seeking a development & cloud focused Senior Security Engineer to join our expanding security team. The ideal candidate will have passion for AppSec, Cloud and AI. They will be a skilled communicator and relationship builder capable of promoting and building security practices across the organization and into our development processes. AI is reshaping practices across the board and at Karbon we're fully committed. We don't see AI as a replacement but as a force multiplier. We're looking for Security Engineers who are confident in network & security fundamentals, driven to grow, and excited by the challenges and opportunities AI brings. What You'll Own: • Partner with different areas within Karbon - You will make sure security is embedded from the start from feature design and development to participating in design reviews and threat modelling., • Balance Security and Delivery - You know how to balance delivery needs with security and can communicate security risks and issues to non technical stakeholders. You understand when it's important to push back, when to compromise and how to work with delivery teams to reach a great outcome., • You keep up to date on the latest technologies and approaches - You are excited by the new developments such as AI bring to security but also understand the importance of security foundational practices such as good account hygiene, least privilege, attack surface reduction and MFA., • Identify and assess security risks introduced by AI tools - You'll assist with reviewing the risks of AI tooling usage & Integration and AI-generated code., • Apply AI-assisted tooling to accelerate security work - you understand the impact AI can have and utilize it across many areas including triage, threat detection, code review, and documentation., • Flexibility and confidence to work across multiple security domains - We're a small team responsible for Security at a fast moving company and you'll get exposure to many different security domains; you could be assisting with refining and investigating corporate IT security processes in the morning, reviewing a cloud hosted system after lunch and then tweaking detection rules!, • Work effectively as part of a team - Security is a team sport and you understand the need to build relationships and trust across the organization to enhance Karbon's security posture. You are happy to answer questions and offer advice to teams that will reach out for your assistance., • Own your work - You take pride in your work, feeling a deep sense of responsibility for the products we develop and ensuring we keep our customers' valuable data secure. This sense of ownership is paramount, and you share this commitment., • Bring your passion and personality - Your creativity, curiosity, and authentic self make the team stronger. If you've worked in highly political environments, you'll find our culture, free from office politics and valuing openness and authenticity, a refreshing change., • Collaborating with teams to review designs & implementations for security issues and embedding good security practices across software development, • Triaging issues and reports, assisting teams to remedy items and testing fixes, • Working with external penetration test companies to validate and prioritize findings, • Conducting risk and vulnerability assessments of web applications and APIs and third party suppliers and integrations, • Configuring and tuning SAST, SCA and DAST Tooling, • Working with build/deployment pipelines to incorporate security tooling (Github Actions or Azure Devops YAML based pipelines), • Assisting with implementing security focused alerting and detections and automations, • Conducting and facilitating organizational & developer focused security training, • Assisting with operational security items such as EDR alerts and MDM, • Strong communication skills (spoken and written), • Some of the following Languages/Frameworks: Microsoft .NET/C#, JavaScript (we use React and EmberJS frameworks and, Python), • At least one cloud platform: Azure, AWS or GCP (we use Azure predominantly), • Working knowledge of PowerShell or Bash and Python, • Working knowledge of at least one AI development tool e.g. Claude Code, GitHub Co-Pilot etc, • Portswigger Burp or similar, • Certifications such as Offsec OSCP & AWAE, GIAC, Burp Practitioner, PJPT, Microsoft/AWS development and cloud related are nice to have, • Gain global experience across Australia, New Zealand, UK, and Canada, • Strong benefits package including:, • Flexible Time Off with an encouraged 4 weeks use per year, • Company paid medical for you and eligible spouse/partner and dependents, • Paid dental and vision and eligible spouse/partner and dependents, • 401(k) with company matching, • Flexible Spending Account, • Up to 8 weeks paid parental leave, • Work-from-home stipend, • Work with (and learn from) an experienced, high-performing team, • A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback The range provided is broad and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as physical location/cost of living in that location, years of experience, skills, and other business needs. It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. The base salary is one component of the total compensation package, which for some roles may include a target bonus, for some roles very competitive equity grant, and very generous benefits. While we believe competitive compensation is a critical aspect of you deciding to join us, we do hope you also spend time considering why our mission, purpose and values are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are! The estimated base salary range for this role is: $131,000—$169,000 USD Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role! We recruit and reward people based on capability and performance. We don't discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization. Generally, if you are a good person, we want to talk to you. 😛 If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at for a confidential discussion. At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!

Job Description About the Role We're hiring a Senior Infrastructure Engineer to own and scale the core systems behind a rapidly growing AI automation platform. The company recently raised $70M, is only 31 people, and is entering a phase where infrastructure reliability, scalability, and deployment velocity are existential priorities. You'll join a small, high‑output engineering team (9 engineers today) and take ownership of infrastructure across on‑prem deployments, cloud environments, Kubernetes orchestration, CI/CD, observability, and scaling services used by enterprise customers. This is a role for someone who wants deep ownership, fast iteration, and the chance to shape infra at a company growing faster than its systems can keep up. What You'll Do • Own infrastructure end‑to‑end across cloud and on‑prem environments, • Scale services to support rapidly increasing enterprise usage, • Manage and improve Kubernetes deployments (must‑have), • Build and maintain CI/CD pipelines, observability, and internal tooling, • Work closely with full‑stack teams to ensure smooth deployments, • Support multi‑cloud expansion (AWS, GCP, Azure — experience here is a plus), • Participate in a one‑day work trial to collaborate on real code and infra tasksWhat We're Looking ForMust‑Haves, • Strong experience with Kubernetes in production, • Experience scaling infrastructure at a fast‑growing startup or large‑scale tech company, • Ability to write production‑quality code (Python or TypeScript preferred), • Experience with cloud deployments (AWS/GCP/Azure), • Comfortable owning infra independently in a small team, • Willing to work on‑site 5 days/week in SF or VancouverNice‑to‑Haves, • Multi‑cloud experience, • Experience with hybrid or on‑prem deployments, • Background in developer tooling, automation, or AI/LLM‑powered systems, • Prior experience at high‑scale companies (Stripe, Uber, Dropbox, Cloudflare, Datadog, etc.)Work Environment, • 5 days/week in‑office — no exceptions, • Offices in San Francisco and Vancouver, • Fast‑moving, high‑ownership engineering culture, • Expectation of rapid iteration and hands‑on execution, • Interview process pauses May 17–22 due to company offsiteWhy This Role Is Special, • Join at 31 employees with $70M raised — massive ownership, • Work directly on the infra powering enterprise AI automation, • Shape the architecture before the next 10× scale jump, • Collaborate with a small, elite engineering team, • Zero bureaucracy, extremely fast shipping environment

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

Job 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 RoleFinix’s reporting cluster is the source of truth for operational metrics, customer-facing reports, billing, actionable insights, and a host of business-critical KPIs. As a Data Engineer in the Data Engineering team, you will own the tooling, frameworks, data pipelines, integrations, databases, schemas and the data integrity of this cluster. You are critical to both Finix, and our customers, in supplying the data that underpins key operations decisions, uncovers hidden issues, and powers insight through reports, analytics, and dashboards owned and managed by the Data Engineering team. Our operations teams will depend on you to find, source, prepare and supply the right data allowing them to run Finix. Our product team will depend on you to serve the right data quickly and reliably to our customers so they can make timely business decisions. Data Analysts will rely on you to source and channel data where it needs to be and how it needs to be organized to power daily operations and decisions.You will • Enable our operations team to make data-driven decisions based on timely, consistent, complete, and correct data, reports, and analytics, • Work closely with engineering team members to build reporting and analytics infrastructure, solving our and our customer’s analytics needs, • Delight our customers by providing leading reporting and analytics capabilities supporting their operations and accounting teams, • Be the subject matter expert in all things data pipelines, data lakes and warehouse, tooling & frameworks, integration and sourcing of data, • Design, build and maintain all code, pipelines, schemas, databases and frameworks that power Finix’s data analytics and reporting capabilitiesYou are, • Detail-oriented, with a healthy dose of mistrust, driving you to investigate even the slightest data discrepancy, • Thrive in a fast-paced environment around common goals and priorities but able to self-direct and problem solve with others to make progress, • Fast learner of new languages, tools & frameworks. You are willing to go wherever necessary to accomplish your goals even if you haven’t been there before., • Curious about new approaches and pushing the boundaries of what exists.You have, • 6+ years of experience in a Data Engineering, ETL, Data Science or related role, • Expert knowledge of SQL, data modeling, Python and frameworks such as Spark, Storm, Airflow, Glue etc. Java would also be great, • B.S in computer science, mathematics, statistics, physics, or a related data field

Job Description We are seeking a Senior DevOps & Site Reliability Engineer to own the reliability, scalability, performance, and operational excellence of Medeloop's platform. This role blends deep DevOps engineering—CI/CD pipelines, infrastructure as code, and cloud architecture—with SRE discipline: SLOs, incident management, capacity planning, observability and a relentless focus on system uptime. You will be the bridge between development and operations, ensuring our clinical research products are always available, performant, and secure for the healthcare organizations that depend on them. What You'll Own Cloud Infrastructure & Architecture • Design, implement, and manage scalable, secure, and highly available cloud infrastructure on AWS - infrastructure as code (IaC) using AWS CDK, CloudFormation, or Terraform, ensuring all environments are version-controlled and reproducible., • Architect multi-region and disaster recovery strategies that meet healthcare uptime requirements., • Define, implement, and monitor Service Level Objectives (SLOs) and Service Level Indicators (SLIs) across all production services., • Build and maintain observability stacks (DataDog, AWS CloudWatch, Sentry) covering metrics, logs, traces, and alerting., • Lead incident response: triage, mitigate, and drive blameless post-incident reviews with actionable follow-ups., • Conduct capacity planning and performance engineering to ensure the platform scales ahead of demand., • Champion error budgets and use them to balance feature velocity with system stability., • Identify, assess, and mitigate operational risks by collaborating with engineering and product teams to evaluate impact and likelihood before they become incidents., • Build self-service tooling and runbooks that reduce toil and empower development teams to ship independently., • Design and maintain CI/CD pipelines (GitHub Actions) that enable fast, safe, and repeatable deployments., • Automate security scanning (SAST, DAST) within pipelines and collaborate with engineering to remediate findings., • Implement progressive delivery strategies such as canary deployments, blue-green releases, and feature flags., • Proficiency in scripting languages (Python, Bash) for automation, troubleshooting, and building reliability tooling., • Track and drive down operational toil, targeting less than 50% of team time spent on repetitive manual work., • Ensure infrastructure meets healthcare compliance standards (HIPAA, SOC 2) through policy-as-code, encryption, and access controls., • Manage networking security (VPCs, subnets, security groups, WAFs) and identity/authentication systems (AWS Cognito, Auth0, OAuth2, SSO)., • Partner closely with product and engineering teams to embed reliability thinking into the software development lifecycle., • Develop and maintain comprehensive documentation for infrastructure, runbooks, and operational playbooks., • Mentor junior engineers on DevOps and SRE best practices, fostering a culture of ownership and continuous improvement., • Stay current with advancements in cloud technologies, DevOps tooling, and SRE methodologies., • Own and evolve internal developer platform tooling — including deployment workflows (GitOps/Flux), bug tracking integrations, and developer self-service portals.What We're Looking For, • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field., • 7+ years of combined experience in DevOps and/or Site Reliability Engineering roles, with at least 2 years in a senior capacity., • Deep proficiency with AWS services, • Deep experience with observability and monitoring platforms such as DataDog, AWS CloudWatch, and Sentry., • Strong experience building and maintaining CI/CD pipelines with GitHub Actions or equivalent tools., • Expertise in infrastructure as code using AWS CDK, CloudFormation, or Terraform., • Hands-on experience with containerization (Docker) and orchestration (Kubernetes)., • Proven track record of defining and operating against SLOs/SLIs and managing incident response processes., • Solid understanding of networking (VPCs, subnets, load balancing, DNS), security, and compliance best practices., • Experience with authentication and authorization systems including AWS Cognito, Auth0, OAuth2, and SSO., • Proactive, self-directed mindset with a bias toward action and taking initiative., • Excellent problem-solving skills and the ability to work independently as well as collaboratively across teams., • Strong communication skills—able to explain complex infrastructure decisions clearly to technical and non-technical stakeholders., • Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.Bonus Points, • Multi-cloud experience (AWS, Azure, GCP), • Familiarity with healthcare data standards, compliance, and protocols such as HIPAA, HL7 FHIR, OMOP, and i2b2., • Experience with chaos engineering practices and tools (e.g., AWS Fault Injection Simulator, Gremlin)., • Prior experience in a healthcare or life sciences company operating under strict regulatory requirements., • Contributions to open-source infrastructure or SRE tooling., • Relevant certifications such as AWS Solutions Architect, Certified Kubernetes Administrator (CKA), or Google SRE certification.Why Medeloop, • Ownership from day one: small team, high-trust, no layers between your work and its impact, • Technically ambitious: you'll build AI-powered workflows, not just support them, • Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter, • Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

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 Role We’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), • Strong experience with cloud architecture on at least one major provider (AWS, GCP, or Azure) Preferred Qualifications, • 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, • Track record of technical leadership, including mentoring and influencing engineering culture Preferred Skills, • 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

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role: We are seeking a talented Staff-level AI Developer to join our applied AI team. In this role, you will be responsible for designing, building, and scaling our AI systems that solve complex problems related to compensation and compliance. You'll work closely in a cross-functional squad that includes data scientists, software engineers, product managers, and business stakeholders. You will have the opportunity to work at the forefront of AI innovation–exploring emerging tools and techniques while translating them into production-ready solutions that deliver real business impact. Why this job is exciting: • Design, develop, and deploy production AI/ML systems that deliver business impact to our customers., • Build and maintain LLM-based applications leveraging context engineering techniques and toolsets., • Collaborate with data scientists to transition approved proof of concepts from a research environment into production., • Integrate AI capabilities into existing products and services through APIs and microservices., • Design and implement evaluation frameworks to assess model accuracy, reliability, and task-specific performance., • Monitor production performance and implement optimizations based on evaluation metrics and real-world usage patterns., • Proficiency developing clean modular and efficient code with Python, • Track record building and deploying AI systems within Google Cloud Platform, familiarity with BigQuery, Firebase, and Vertex AI, • Working knowledge of Google Gemini, OpenAI, and Anthropic APIs, • Familiarity with evaluation methodologies for assessing LLM accuracy, hallucinations, and task-specific performance, • Exposure to—or strong interest in—vector databases, semantic search, agent frameworks, and protocols like MCP for connecting AI systems to external tools and data sources, • Fluent with AI-assisted development tools (Cursor, Claude Code, GitHub CoPilot), • Foundational knowledge of machine learning concepts, model architectures, and LLM capabilities and constraints, • Natural curiosity and passion for staying current with rapidly evolving AI technologies, • Ability to balance innovation with practical business requirements, • Adaptable when navigating ambiguity and rapidly shifting priorities We believe in starting simple, soon — progress over perfection. We value architectural clarity and execution speed. You'll be joining a small, ambitious team committed to high trust, low ego collaboration. It's a dynamic environment where teams embrace ambiguity, adapt quickly to change, and move fast to seize opportunity. As such, we empower engineers to make bold moves and back it up with a culture that supports learning through iteration. Why you'll love it here: • 💰 Competitive Compensation. For this role our base salary is targeted at $205-244k CAD. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave., • 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • 🏥 Life Insurance & Disability. Syndio covers the full premium., • 🏦 401(k). To help you save for your future Below you'll find an outline of the interview plan for our Staff AI Developer position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision. • 30 min - Phone call with a member of our Talent Team, • 75 min - Zoom interview with the Hiring Manager, • Skills Evaluation - Take-home Assignment, • 75 hr - Technical Interview with Team Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

Job DescriptionAbout Avive: Avive Solutions, Inc. () is a growth stage Automated External Defibrillator (AED) company with a connected response system that is rapidly gaining market share. We are a mission driven team that is quite literally saving lives. Sudden Cardiac Arrest (SCA) is a leading cause of death in the United States, and we are on a mission to change that! We are a dynamic organization that builds elegant, creative solutions to solve complex problems. Ultimately, our mission is for all cardiac arrest victims to have rapid access to life-saving defibrillation. Avive is taking a fresh approach to addressing this decades-old problem by innovating AED technology, coupled with a first-of-its-kind software platform solution to enable a quicker and more streamlined response to SCA emergencies. We believe that this unique combination of deploying advanced – yet still accessible – hardware, and software, has the potential to revolutionize out-of-hospital cardiac arrest response and massively impact SCA survival rates. Check out this short video that shows a glimpse of how our team is working to re-think cardiac arrest response and save lives! Learn more about working at Avive: About the Role: We are looking for a Business Systems Developer to work closely with BizOps, Finance, Quality, HR, and Engineering in building Avive’s system infrastructure while maintaining ongoing operations. You will report to the Head of Software and partner with Avive’s leaders to build towards operational excellence. What You'll Do: • Design, build, and maintain integrations between key business systems, including NetSuite, Salesforce, Stripe, Shopify, and other platforms., • Leverage tools like Celigo to create data flows and streamline cross-system processes to reduce manual intervention and enhance process efficiency., • Monitor, troubleshoot, and resolve integration issues in a timely manner to ensure minimal disruption., • Partner with cross-functional teams to identify and document business requirements., • Ensure data integrity and synchronization across all connected business systems., • Create dashboards, reports, and KPIs to track integration health and operational performance., • Assist in the creation and execution of data migration strategies for new system implementations., • Act as the first point of contact for issues related to system integrations., • Troubleshoot and resolve integration errors, working with internal teams and vendors as needed., • Document system changes, update technical documentation, and support end-user training.Desired Skills & Experience:, • 3-7 years of experience in software development with strong experience in integration of systems., • Hands-on experience with NetSuite, Salesforce, Stripe, Shopify, and Celigo (or similar iPaaS tools)., • Strong understanding of APIs, REST, and data integration best practices., • Experience with scripting languages (Python) and SQL for data manipulation., • Ability to identify root causes and recommend data-driven solutions.

Job Description About Vumedi: Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in Oakland, CA, and have additional offices in Minneapolis, MN, and Zagreb, Croatia. We're hiring a Senior/Staff/Principal DevOps Engineer to lead the development of our digital platform and products at this critical stage of Vumedi's growth. Why join Vumedi right now? • Build technology that matters in a fast-scaling Silicon Valley digital healthcare company: Your work directly impacts how doctors across the world learn and make decisions that save lives., • Grow as we grow: Be part of a company in an accelerated growth phase, where expanding teams, products, and markets create real opportunities for ownership, leadership, and career progression., • Build with AI: Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how AI transforms medical knowledge delivery., • Own your craft end-to-end: Take full responsibility for building systems that scale globally and power mission-critical workflows., • Collaborate globally: Join a world-class team of passionate engineers on modern tech stack which will further drive your career development. We are looking for a DevOps Engineer to join our engineering team and take ownership of our infrastructure, deployment processes, and overall platform reliability. You will work closely with backend and data teams to support a growing video and data platform used by millions of healthcare professionals worldwide. In this role, you will focus on improving our CI/CD pipelines, system reliability, and developer experience, while helping scale our cloud infrastructure in a secure and cost-efficient way. You will work extensively with AWS services (compute, storage, networking, IAM, monitoring) and help ensure our systems are reliable, observable, and well-architected. You'll also support and enable emerging AI/ML and LLM-powered systems used for large-scale medical content processing, helping build and operate the infrastructure required for these workloads. This includes improving data pipelines, optimizing resource usage, and ensuring production-grade reliability of AI-driven services. This is a high-impact role with a broad scope—from supporting production systems and data pipelines to driving long-term improvements in how we build, deploy, and operate our platform, with strong ownership and autonomy in shaping DevOps practices. What you will do: • Own and improve our infrastructure, CI/CD pipelines, and deployment processes across multiple environments, • Work with AWS services (compute, storage, networking, IAM, monitoring) to ensure scalable, secure, and reliable systems, • Collaborate closely with backend and data teams to support production systems, data pipelines, and overall platform reliability, • Continuously improve developer experience by streamlining workflows, reducing friction, and enabling faster, safer deployments, • Contribute to improving security practices, access control, and compliance of our infrastructure, • Automate infrastructure and workflows using Python, • Improve observability by implementing and maintaining monitoring, logging, and alerting systems, • Troubleshoot production issues, participate in incident response, and implement long-term fixes to improve system stability, • Identify and drive improvements in performance, scalability, and cost efficiency across the platform, • You have 5+ years of experience in DevOps, SRE, or infrastructure engineering, with a strong focus on cloud-native environments (preferably AWS), • You have managed cloud infrastructure (networking, IAM, compute, storage) with a strong understanding of security best practices and cost optimization, • You have experience building and maintaining CI/CD pipelines to support rapid, reliable software delivery across multiple environments, • You are comfortable writing Python for automation, scripting, and building internal tooling to improve infrastructure and developer workflows, • You have a strong understanding of monitoring, logging, and observability (e.g., Datadog, Prometheus, CloudWatch), and proactively identifying and resolve issues, • You are comfortable debugging production issues across systems and collaborating with engineering teams to resolve them, • You are proactive, take ownership, and enjoy working in environments with high autonomy and evolving processes, • You communicate clearly and collaborate effectively with engineers, product managers, and other stakeholders, • 5+ years of experience in DevOps, Site Reliability Engineering, or infrastructure-focused roles, • Proven experience designing and operating scalable, reliable, and secure cloud infrastructure (preferably AWS) in production environments, • Strong understanding of cloud security best practices (IAM, network security, secrets management), preferably within AWS, • Proficiency in Python for automation, scripting, and tooling, • Hands-on experience building and maintaining CI/CD pipelines, • Experience with monitoring, logging, and alerting tools (e.g., Datadog, CloudWatch, Prometheus), • Experience working in a Linux-based environment, • Ability to drive infrastructure and DevOps strategy, balancing scalability, reliability, and cost, • Experience working cross-functionally and influencing engineering teams on best practices and architectural decisions, • Experience supporting or scaling AI/ML or LLM-based systems in production, • You have worked with containerized applications (Docker) and are familiar with orchestration concepts (Kubernetes or ECS is a plus), • You are familiar with Infrastructure as Code principles (e.g., Terraform) and have experience implementing Infrastructure as Code from scratch in existing environments, • You have experience working with or supporting backend systems and data platforms (e.g., Postgres, Airflow is a plus), • Background in backend engineering or software development, • Experience working in a fast-paced startup or scale-up environment

Job DescriptionApplied AI Engineer We are hiring an Applied AI Engineer (you could also be a Founder, Product Engineer, Founding Engineer, Forward Deployed engineer or Technical Product Leader). This is a hands-on technical role for people who think in code, ship in weeks, and measure success in business impact. You'll work across multiple portfolio companies simultaneously, partnering with CPOs and CTOs to identify AI-native product opportunities, refactor legacy systems into AI-first architectures, and build the next generation of their products. You'll operate with the autonomy of a startup founder while leveraging the resources and portfolio access of a leading private equity firm. We're looking for true full-stack builders and product engineers. People who can own a product end-to-end, from identifying the opportunity to shipping the solution. You're equally comfortable talking product strategy with a CPO, architecting systems with a CTO, writing production code with engineers, and identifying business processes and outcomes in partnership with the COO that are ripe for automation. What you are doing: Embed & Build (50%) -You'll work across multiple portfolio companies in parallel, with engagements averaging six months. You're embedded as a builder with commit access: Build full-stack: Own the entire product surface, frontend, API, data layer, infrastructure. Ship complete features beyond just backend scripts -Refactor legacy to AI-first: Transform existing products and workflows into AI-native architectures. Identify where AI can replace, augment, or reimagine current functionality. -Prototype in days: Build working proof-of-concepts fast. AI assistants, workflow automation, predictive models, intelligent features, and whatever solves the highest-impact problem -Ship to production: Take prototypes to production-grade systems with proper testing, monitoring, and documentation. -Pair with engineers: Work alongside portfolio company developers, transferring knowledge through code review, pairing sessions, and building together. -Leave systems, not slides: When engagements evolve, you leave behind working software, documented code, trained teams, and playbooks Find & Shape Opportunities (20%) -Identify AI disruption opportunities: Analyze market dynamics, customer workflows, and competitive landscape to find where AI can create step-change product advantages -Partner with CPOs/CTOs: Work as a strategic thought partner to product and technical leadership, bringing an informed perspective on what's possible with AI -Scope and prioritize: Turn opportunities into concrete product roadmaps with clear milestones, success metrics, and resource requirements -Validate with customers: Get in front of customers to validate assumptions, understand pain points, and refine product direction -Assess legacy systems: Evaluate existing product architectures and identify the highest-leverage paths to AI-first transformation Discover & Evaluate Tools (15%) -Scout the AI landscape: Continuously discover, evaluate, and test new AI tools, frameworks, and platforms as the ecosystem evolves -Build the toolkit: Curate and maintain a best-in-class set of AI development tools, MCP servers, and reusable components for deployment across the portfolio -Benchmark and recommend: Run structured evaluations of new tools against real portfolio use cases; make clear recommendations on what to adopt, what to skip -Stay at the frontier: Be the person who knows what shipped last week and what's coming next month in AI tooling Train & Enable Teams (15%) -Train on AI best practices: Teach portfolio company teams how to build with AI. Prompt engineering, model selection, RAG architectures, agent design, evaluation methods -Level up dev workflows: Train engineers on AI-native development using Cursor, Claude Code, and similar tools; transform how they write, review, and ship code -Create learning resources: Build playbooks, workshops, and documentation that portfolio teams can use long after your engagement -Productize patterns: Turn solutions into reusable templates and frameworks deployable across the portfolio -Raise the bar: Leave every team more capable of building with AI than when you arrived What you need: -You ship complete products from frontend to infrastructure -AI-native developer: You're a power user of Cursor, Claude Code, or similar. You don't just use autocomplete; you use AI to architect, debug, refactor, and ship 10x faster -MCP & extensibility fluent: You understand the Model Context Protocol and build custom tools, skills, and MCP servers to make AI agents useful for real workflows -Context Engineering: You go beyond RAGs for other techniques that provide consistent memory and find methods to create consistent deterministic output -Tool scout: You're obsessed with finding and testing new AI tools. You know what's shipping across the ecosystem and have opinions on what's worth using -Product thinker: You can identify market opportunities, understand customer needs, and translate them into product strategy, not just code -Legacy modernizer: You've transformed existing systems into modern architectures. You know how to incrementally refactor without breaking production -Teacher: You can explain complex AI concepts clearly and train teams to adopt new tools and practices -Adaptive & autonomous: You thrive juggling multiple companies and contexts. You can context-switch, prioritize, and deliver across parallel engagements -Travel-ready: Willing to spend significant time on-site with portfolio companies Preferred Experience: -Being a founder -Background in consulting, PE/VC backed tech -Familiarity with B2B SaaS business models and metrics (ARR, NRR, LTV/CAC) -Experience with enterprise systems (Salesforce, NetSuite, Zendesk) and their APIs -Technical Toolkit AI Development: Cursor, Claude Code, GitHub Copilot, you live in AI-assisted IDEs and know how to get maximum leverage -AI Infrastructure: MCP servers, custom skills/tools, agent frameworks, RAG pipelines, vector databases, LangChain/LlamaIndex -LLM APIs: OpenAI, Anthropic, and the judgment to choose the right model for the job -Full Stack: React/Next.js, Node.js, Python, TypeScript, SQL, REST/GraphQL Data: Modern data pipelines, ETL/ELT, dbt, analytics engineering Infrastructure: AWS/GCP/Azure, Docker, CI/CD, infrastructure-as-code Benefits -Health Coverage -Great PTO plan! -Retirement Benefits • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 04/05/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job DescriptionAbout PayJoy PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth. This role The Staff Engineer is responsible for leading our technical foundation for our Lending Systems teams (customer onboarding platforms, risk and offer engines, and partner-facing APIs) to drive innovation, while collaborating with other teams. The candidate must take on a mentoring role, design scalable systems, and influence cross-functional initiatives in a hands-on position where they will make key technical decisions and build critical services. Our Lending Systems team at PayJoy serves 9+ international markets, each with a tailored customer experience. You'll build flexible, maintainable systems that scale with our products and adapt to evolving market demands. You'll balance system complexity, design abstractions, and service encapsulation. This is an Individual Contributor role focused on designing and executing improvements to our technical foundation. Responsibilities • Architect & Build Scalable Application Components, • Design and implement robust APIs, backend services, and data models. Introduce modern frameworks and patterns that other engineers can adopt across the organization., • Mentor & Develop Engineering talent guide engineers through code reviews, pair programming, and architectural discussions. foster a culture of learning, quality, and thoughtful technical decision-making., • 12+ years of experience building and scaling production systems in high-growth environments., • UI, API, and Backend Expertise, • Strong proficiency in designing and implementing RESTful or event-driven APIs., • Experience building user interfaces or frontend components that integrate with complex backend systems., • Deep understanding of backend development in languages such as Java, Python, PHP, or similar., • Database & Data Modeling Skills, hands-on experience with relational and NoSQL databases, schema design, query optimization, and data integrity patterns., • Distributed Systems & Architecture solid understanding of system design, scalability, and distributed systems fundamentals., • Experience with cloud platforms such as AWS, GCP, or Azure., • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders., • Demonstrated ability to lead through influence, collaborate across teams, and mentor engineers at all levels., • 100% Company-funded health insurance for employee and immediate family, • Company-funded employee life and disability insurance, • 20 Paid vacation days, Flexible sick leave, • $2,000 USD annual Co-working Travel perk, • $2,000 USD annual Professional Development perk, • Headphone benefit, home office equipment allowance and wellness perks, • $340 Company-funded Commuter benefit

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 Responsibilities We are seeking a product-minded Senior Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. In this role, you will also be responsible to: * Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development. * Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions. * Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team. * Implement and improve validation, monitoring, and observability for ML services within the sandbox environment. * Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement. * Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability. * Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment. * Conduct code reviews and mentor team members to uphold high engineering standards. * Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team. RequirementsQualifications / Experience / Technical Skills * Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience. * 5+ years of experience of professional software development experience, with a proven track record of shipping high-quality products. * You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience. * You have experience building developer-facing products, APIs, SDKs, or CLIs. * You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models. * Proven track record of deploying and maintaining ML services in production environments is a strong plus. * Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms. * LLMops/MLops experience is a strong plus, especially in developer-facing products. * Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable. Soft Skills / Personal Characteristics * Excellent written and verbal communication skills in English. * Collaborative team player with a passion for empowering developers and improving developer experience. * Adaptable, proactive, and creative—comfortable working in a dynamic, startup-like environment. * Strong problem-solving skills and a continuous improvement mindset. (REQ ID: 2428)

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . [What is marimo] At marimo, we're on a mission to make the world's best open-source programming environment for working with data, together with a world-class, scalable, and performant cloud-hosted counterpart. marimo is a reinvention of the Python notebook — it feels like a next-gen reactive Python notebook, but is stored as pure Python that can be versioned with Git, deployed as a data app, run as a script, and reused as a module. Incubated initially with scientists at Stanford, marimo is now used by leading companies, labs, and universities around the world, with millions of downloads since launch and over 17,000 stars on our GitHub repository. On the marimo team, we believe that the tools we use shape the way we think — better tools, for better minds. If you're passionate about developer tools, thrive in ambiguity, enjoy solving challenging engineering problems at scale, and yearn for greenfield problems, you'll fit right in. What You'll Do: The marimo growth team is responsible for managing and growing the marimo community, playing a critical role in our goal of making marimo the standard Python used by millions of developers around the world. The marimo community is diverse, including AI/ML developers, backend developers, security engineers, data engineers, data scientists, natural scientists, professors, students, and more. The growth team's mandate is to build scalable bottoms-up growth motions across these subcommunities, helping them transform their workflows with our next-generation notebook and bringing back feedback to the engineering team. You will be given high autonomy, and will be trusted to make a large impact. About the role: As a senior developer relations engineer on marimo's growth team, you will: • Work smart (and hard) to find high-leverage, scalable, and measurable ways to grow usage, ranging from growth-related software engineering to content creation, • Serving as a technical bridge between Marimo and our users, maintaining relationships with key champions and community members, • Organize and regularly attend events in the SF Bay Area (and around the US when needed) Who You Are: • 2+ years of experience in software engineering, • 2+ years of experience in developer relations and growth, • Proficiency in Python, with strong fundamentals that are language agnostic, • Technical background in AI, ML, and data science, • Experience with AI coding models, • Experience with growing open-source communities, • Experience with Python notebooks, • Experience with developer tools, • You love to engage with open-source communities, • You're an expert in tactically growing user bases, • You're metric-driven What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave's industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we're setting a new standard for how AI is built, trained, and scaled. The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we're combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including Nvidia, Canva, Cohere, Meta, Snowflake, Square, Toyota, and Amazon — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises. As we unite under one vision, we're looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team. About the Role: As an AI Solutions Engineer you will sit at the intersection of cutting-edge AI infrastructure and the world's most ambitious AI teams. You will help customers design, deploy, and scale modern ML and GenAI systems using Weights & Biases and CoreWeave's AI cloud. This role combines hands-on technical depth with strategic customer engagement — ideal for AI practitioners who enjoy building real systems, solving complex problems, and shaping how AI is developed and operationalized at scale. What You'll Do: • Own the technical wins by building proof of value (PoVs). You'll be partnering with Account Executives to drive discovery, solution design, and successful technical evaluations., • Lead deep technical conversations with ML engineers, researchers, and platform teams to understand their AI/GenAI workloads and architect scalable solutions across the CoreWeave and Weights & Biases ecosystem ., • Design and deliver compelling live demos, proof-of-value engagements, and rapid prototypes showcasing experiment tracking, distributed training, agentic workflows, fine-tuning, evaluation, and inference at scale., • Architect modern ML and GenAI systems including distributed training, RAG pipelines, multi-agent systems, LLM fine-tuning workflows, and inference solutions., • Translate business objectives into measurable technical outcomes such as model quality improvements, cost reductions, performance gains, and faster iteration cycles., • Serve as a trusted technical advisor, influencing architectural decisions and best practices across MLOps, LLMOps, and platform engineering., • 2+ years of experience in Solutions Engineering, ML Engineering, AI Engineering, or a similar customer-facing technical role., • Strong proficiency in Python (bonus: TypeScript/JavaScript) and experience building production-grade ML or GenAI applications., • Hands-on experience training, fine-tuning, evaluating, debugging, and deploying deep learning or LLM-based systems., • Experience with modern GenAI architectures including retrieval-augmented generation (RAG), tool-using agents, evaluation frameworks, and guardrails., • Comfortable designing cloud-native architectures across AWS, GCP, or Azure, with working knowledge of containers, networking fundamentals, and security best practices., • Able to whiteboard distributed training or inference architectures and then implement working prototypes that demonstrate real customer value., • Excellent communication and storytelling skills, with the ability to translate complex technical concepts into business impact., • Experience building and evaluating agentic applications using frameworks such as LangChain, DSPy, LlamaIndex, CrewAI, OpenClaw, or similar ecosystems. Ability to quickly adapt to new frameworks is a huge plus., • Familiarity with vector databases, embeddings workflows, and LLM evaluation frameworks (e.g., Ragas, TruLens, DeepEval)., • Hands-on experience with Hugging Face Transformers, PEFT/LoRA/QLoRA fine-tuning, TRL, Unsloth, or similar fine-tuning stacks. Big plus if experience using RL to improve agentic systems., • Experience operating distributed workloads using Slurm, Ray, or Kubernetes., • Experience with inference optimization and serving frameworks such as vLLM, TensorRT-LLM, Triton, or TGI. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Location: San Francisco, CA Our client is a distinguished provider of legal services on a global scale. As an Innovation AI Developer, you will serve as a key member of the client’s Innovation Engineering team, responsible for designing and implementing intelligent, secure, and scalable AI applications to enhance the delivery of legal services and optimize business operations. In this capacity, you will collaborate closely with attorneys, business leaders, data scientists, and infrastructure teams to translate complex legal and operational needs into effective AI solutions with measurable outcomes. You will be involved in the entire AI lifecycle—from initial use case identification through production deployment and system monitoring—utilizing large language models (LLMs), retrieval-augmented generation (RAG), traditional machine learning approaches, and modern cloud architectures to advance efficiency, quality, and informed decision-making. This position offers the opportunity to develop enterprise-level AI capabilities at one of the world’s premier law firms, operating at the forefront of advanced engineering and impactful legal practice. The firm is committed to upholding rigorous performance standards and fostering a culture oriented toward growth. Individuals demonstrating initiative and dedication will be afforded opportunities for increased responsibilities and long-term career advancement within the organization. Must be a U.S. Citizen or Green Card holder - our client cannot accept work visas and/or sponsorships at this time Desired Qualifications and Experience: · Bachelor’s degree in computer science or a related field preferred. · 7+ years of experience in professional services, legal, or technical environments, with demonstrated hands-on experience building and deploying AI applications. · AI Engineering Expertise – Strong Python development skills and experience designing and implementing RAG pipelines, working with vector databases (e.g., Pinecone), and building AI agents and multi-service AI architectures—particularly within Azure environments. · Cloud & DevOps Proficiency – Familiarity with Azure services (e.g., Cognitive Search, Cosmos DB, AI Studio), as well as Docker, Kubernetes, and CI/CD practices that support scalable, production-ready deployments. · Experience designing and maintaining LLM evaluation frameworks (e.g., Promptfoo, OpenAI Evals, LangSmith) and integrating structured and unstructured data sources into AI systems. · Experience operating within environments that require strict adherence to security, privacy, and governance standards for sensitive data. · Business Acumen & Communication – Proven ability to conduct stakeholder discovery, quantify return on investment (ROI), and translate ambiguous challenges into clearly defined AI requirements. · Strong communication skills with the ability to explain complex technical concepts to non-technical audiences. · Legal Domain Exposure (Preferred) – Experience supporting legal use cases such as due diligence, contract review, or legal research, and prior law firm experience. Summary of Responsibilities: · AI Solution Architecture & Development – Collaborate with legal and business stakeholders to identify high-value AI use cases, define measurable success criteria (e.g., efficiency, quality, risk reduction), and architect scalable solutions using Python and modern AI frameworks such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and LangFlow. · Retrieval-Augmented Generation (RAG) & Intelligent Systems – Design, build, and maintain RAG pipelines using vector databases and knowledge graph solutions. Develop AI agents that automate multi-step workflows and enable sophisticated task orchestration. · Create reusable libraries, patterns, and documentation that support long-term innovation and maintainability across the firm’s AI ecosystem. · Design and maintain LLM evaluation frameworks to measure accuracy, robustness, safety, and alignment to use-case objectives. Ensure AI systems meet firm security, privacy, and governance standards. · Support continuous integration and continuous delivery (CI/CD) workflows, containerization (Docker), and orchestration (Kubernetes) to ensure production readiness. Partner with infrastructure and security teams to support hybrid cloud and on-premise deployments in sensitive data environments. · Serve as a subject matter resource for attorneys and business teams, advising on prompt engineering, model selection, and architecture decisions. Support pilot implementations, user training, and feedback loops to drive adoption and measurable impact. · Evaluate new tools, open-source libraries, and vendor platforms to inform firm AI strategy. Contribute to internal education and thought leadership on AI best practices. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

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 Role We’re looking for a passionate and experienced Staff AI Agent Engineer to join our team that owns the core of our payments technology. In this role, you’ll help 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, • 6+ 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), • Strong experience with cloud architecture on at least one major provider (AWS, GCP, or Azure) Preferred Qualifications, • 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, • Track record of technical leadership, including mentoring and influencing engineering culture Preferred Skills, • 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

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 Job Title: Software Developer Job Type: Contract Location: Remote Job Summary: Join our customers team as a Software Developer, where innovation, ownership, and technical expertise drive every project. Youll collaborate with a dynamic and diverse team to design, develop, and deliver robust solutions using modern programming languages and full-stack technologies. If you are passionate about building scalable applications and thrive in a remote and communicative environment, we want to hear from you. Key Responsibilities: • Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js., • Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements., • Write clean, efficient, and well-documented code, following best software engineering practices., • Troubleshoot, debug, and optimize existing codebases to improve performance and reliability., • Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement., • Contribute to the full software development lifecycle, from concept and design to testing and deployment., • 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack)., • Proficiency in building scalable, reliable, and maintainable software systems., • Experience working in remote, collaborative, and agile environments., • Expertise in modern development tools, version control systems, and CI/CD pipelines., • Strong problem-solving skills with keen attention to detail., • Excellent written and verbal communication skills, with a high standard for clarity and professionalism., • Experience with cloud platforms such as AWS, GCP, or Azure., • Knowledge of DevOps principles and containerization technologies., • Background in mentoring or leading small engineering teams.

Job DescriptionAbout Us We are Sila, a next-generation battery materials company. Our mission is to power the world's transition to clean energy. To create this future, our team is building a better lithium-ion battery from the inside out today. We engineer and manufacture ground-breaking battery materials that significantly increase the energy density of batteries, while reducing their size and weight. The result? Smaller more powerful batteries that can unlock innovation in consumer devices and accelerate the mass adoption of electric cars to eliminate our dependence on fossil fuels. We're tackling one of the biggest challenges of our time every day, and together we're redefining what's possible. Are you ready to be a part of a team committed to changing the world? Who You Are You are a product-minded, forward-deployed, software application developer who bridges the gap between sophisticated data modeling and world-class user experiences. You believe that back-end data is only as valuable as the interface that makes it actionable. You are as comfortable architecting a high-performance Snowflake schema as you are crafting an intuitive React component. You thrive on being embedded with your users, translating the complex needs of battery engineers and operations into elegant software that serves as a "single source of truth." Responsibilities and Duties • Embedded Product Development: Work directly with Engineering, Operations, Battery Teams, Finance, and Supply Chain teams to identify bottlenecks and build bespoke software solutions that accelerate our "bits-to-atoms" cycle., • Modern Front-End Engineering: Design and implement sophisticated, responsive user interfaces using React and modern state management libraries. Focus on creating high-density data visualizations that make complex battery performance data easy to interpret., • Application Data Layer Architecture: Design and evolve Snowflake schemas and data models specifically optimized for high-performance application interfaces. You will ensure the data layer supports both rapid transactional workflows and deep analytical exploration., • Data Orchestration: Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application-ready schemas, ensuring end-to-end data integrity., • Modern Observability: Use Datadog, Sumo Logic, and StatsD to monitor user interaction patterns and application health, ensuring high availability for business-critical workflows., • AI-Forward Features (RAG): Deploy Retrieval-Augmented Generation (RAG) patterns to build "smart" tools that allow our engineering teams to query technical specs, experimental results, and financial data using natural language.Knowledge and Skill Requirements, • Front-End Mastery: Expert proficiency in React, TypeScript, and modern CSS-in-JS or Tailwind. Experience with data visualization libraries (e.g. Plotly, or Bokeh) is highly preferred., • Application Backend: Expert proficiency in Python (FastAPI, Flask), • Application Data Modeling: Advanced experience with Snowflake and dbt. You should be able to demonstrate how you design schemas—including graph-based relationships—to solve specific application and user-workflow problems., • User-Centric Design: You should have a clear philosophy on how to make complex data-entry and data-analysis workflows intuitive., • Workflow Orchestration: Experience with Airflow or similar tools to manage application-specific data transformations., • Hands-on experience with Infrastructure as Code (Terraform), CI/CD and container orchestration (Kubernetes)., • Practical experience building RAG architectures and integrating LLMs into production application workflows., • Native Mobile App Development: Experience deploying native iOS applications for internal business purposes, • B.S. or M.S. in Computer Science, Human-Computer Interaction, or a related engineering field., • 6+ years for MS, 8+ years for BS of professional software development experience, preferably in hardware product technology and/or manufacturing environments, • A proven track record of building complex internal tools for Operations, Engineering, Battery Teams, Finance, or Supply Chain teams that emphasize user-centric design and high data density., • Strong bias for action and the ability to work autonomously in a fast-paced, multidisciplinary environment.Physical Demands and Working Conditions, • Move long distances (such as from building to building) and be stationary for extended periods of time, • Operate a computer and other office equipment, such as a laptop, copier/printer, etc in a fixed location The starting base pay for this role is between $152,000 and $192,000 at the time of posting. The actual base pay depends on many factors, such as education, experience, and skills. Base pay is only one part of Sila's competitive Total Rewards package that can include benefits, perks, equity, and bonuses. The base pay range is subject to change and may be modified in the future. Working at Sila We believe that building a diverse team at Sila helps us amplify our individual talents. We are an equal opportunity employer and committed to creating an inclusive environment where good ideas are free to come from anyone. We are proud to celebrate diversity and all qualified applicants are considered for employment without regard to gender, race, sexual orientation, religion, age, disability, national origin, or any other status protected by law.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About Klaviyo Klaviyo is a leading marketing automation platform that helps businesses grow by delivering personalized experiences. Our mission is to empower creators to own their destiny. We believe in providing an exceptional developer experience that enables our engineering teams to build and ship high-quality software efficiently and with confidence. About the Team The Developer Infrastructure team at Klaviyo is at the heart of our engineering organization, dedicated to accelerating Klaviyo development. We build and maintain the tools and processes that allow engineers to maximize their focus on business objectives by minimizing time spent on build and deployment systems, foundational software "building blocks," and development environments. We are committed to fostering open communication and collaboration with our internal customers – the engineers. As a Senior Lead Software Engineer within the Dev Infrastructure pillar, you will serve as the primary technical architect for our Dependencies and Platform domain while driving the overarching technical vision for the entire Dev Infra group. You will partner with leaders across CI/CD, Web Platform, Environments, Quality Tools & Testing and AI Enablement to ensure a cohesive infrastructure strategy, acting as a key technical liaison to the broader Core Infra organization. Your leadership will ensure that our core systems, dependency lifecycles, and platform upgrades are not just maintained, but architected to accelerate engineering velocity across the entire company. What You'll Do As a Senior Lead Software Engineer, you will have an overarching responsibility for the architecture, health, and dependencies for the Klaviyo code base with a focus on the backend. Your role will involve: • Technical Strategy: Define technical strategy within the scope of the Klaviyo backend and execute to improve the area's architecture, products, infrastructure, and processes., • Strategic Planning and Architecture: Define the technical vision and architectural roadmap for the platform, ensuring all upgrades and dependency management align with long-term business goals for scalability, reliability, and security., • Dependency Management: Lead efforts to determine, analyze, and optimize backend and third-party dependencies, ensuring they are secure, performant, and reliable. This includes establishing frameworks for risk assessment and contingency planning related to dependencies., • Platform Upgrades and Rollouts: Oversee and assist with the planning and seamless rollout of major software releases and updates, managing the entire lifecycle from design to deployment in production environments including significant individual contributions., • Enhance Developer Productivity: Drive initiatives to improve platform cycle time metrics across the board, including PR CI Speed, Human Code Review Pickup Time, and Commit Velocity by Repo. This involves a relentless focus on reducing toil and increasing engineering efficiency., • Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers. Ensure others in the area are developing skills they need to improve within the organization., • Problem Solving and Reliability: Act as a go-to expert for diagnosing and resolving complex performance, scalability, and reliability issues across the platform. Implement proactive monitoring and telemetry to identify and address problems before they become critical incidents., • Cross-functional Collaboration: Partner with product managers, security teams, hardware engineers, and other stakeholders to gather requirements, resolve conflicts, and ensure alignment across all teams and projects., • 12 years of experience in software development, strong knowledge of computer science fundamentals, domain-driven design, and extensive expertise in architectural patterns, specifically within the domain of distributed systems., • BA or BS Degree in Computer Science, related field, or equivalent experience., • Technical Expertise: Deep expertise in relevant programming languages (e.g., Go, Python) and cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and Infrastructure as Code (Terraform)., • Technical Strategy: Demonstrated experience in contributing to the product and platform vision, as well as defining the strategy within the broader scope of long-term organizational needs., • Architectural Skills: Strong understanding of software architecture, design patterns, and system integration, with the ability to define technical strategies and influence architectural decisions across multiple teams., • Soft Skills: Exceptional problem-solving, analytical, leadership, and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences., • Experience with specific tools such as Pants, FastAPI, Django, React, Terraform, Buildkite., • Background in performance optimization, • Familiarity with complex data management for testing, including large datasets and production-like data replication. Our Tech Stack • Python, Django, FastAPI, • Apache Kafka, Apache Pulsar, RabbitMQ, Spark, Airflow, and other tech from the big data stack, • MySQL, PostgreSQL, Clickhouse, Redis, • Typescript, React, Babel, Jest, Webpack, • Graphite, statsd, Chronosphere, • AWS, Terraform, Docker, Kubernetes, Pantsbuild, Argo, and other modern DevOps tools We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$216,000—$324,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionAbout GridwareGridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit . Role Description As Gridware grows, the number of services, environments, and engineers grows with it. We need a senior engineer who treats developer experience as a product — designing paved paths, golden templates, and self-service tooling on top of our AWS / Kubernetes / Argo CD foundation so that teams can focus on the grid, not on YAML. You will sit alongside our DevOps and Cloud Security engineers. While they own the underlying cloud infrastructure and security posture, you will own the layer above: the workflows, abstractions, and tooling that engineers interact with every day. As a founding member of the platform function, you’ll shape the technical vision, drive cross-team adoption, and measure success by how invisible (and reliable) the platform feels to the rest of engineering.Responsibilities • Lead the design, build, and rollout of an internal developer platform on top of AWS, EKS, Argo CD, and GitHub Actions that lets engineers create, deploy, and operate services with minimal friction. • Own and evolve our service templates, Helm chart conventions, and Argo CD App-of-Apps patterns so that adding or migrating a service is a guided, low-risk experience., • Build and maintain reusable GitHub Actions workflows (build / push / scan, frontend build / deploy, SonarQube scans, semantic release) and improve CI feedback loops, build times, and caching., • Define and enforce platform standards for observability — structured logs into Loki, metrics into Prometheus / Mimir, dashboards in Grafana, and SLOs / alerts wired in by default., • Build self-service tooling around environments, secrets, feature flags, and access — so that the right thing is easy and the wrong thing is hard to do by accident., • Own the developer-facing aspects of identity and access (Auth0, IdP integrations, Tailscale access, IRSA / service accounts) and keep onboarding and offboarding smooth., • Partner with DevOps on infrastructure changes, with Cloud Security on guardrails, and with backend / frontend / data / firmware teams to understand their pain points and prioritize platform investments., • Mentor engineers across the org on platform conventions, lead design reviews for new services, and push back on patterns that don’t scale., • Treat the platform as a product: gather feedback, define roadmaps, write docs, and measure adoption and reliability.Required Skills • 5+ years in Platform Engineering, DevOps, or SRE roles, including significant experience building and shipping developer-facing tooling for other engineering teams., • Track record of owning and delivering platform initiatives end-to-end, from design through adoption, with limited day-to-day supervision., • Strong working knowledge of Kubernetes (EKS or similar) and GitOps workflows with Argo CD or Flux., • Hands-on experience with Infrastructure as Code using Terraform; comfort with Terragrunt or a similar wrapper., • Solid experience with CI/CD systems, ideally GitHub Actions, including reusable / composable workflows and release automation., • Working knowledge of AWS core services (EKS, EC2, RDS, S3, IAM, VPC, ECR) and how to compose them into reliable, secure platforms., • Experience designing developer abstractions — Helm charts, service templates, internal CLIs, scaffolding tools, or Backstage-style portals — that other engineering teams easily interact with., • Strong programming skills in Python, Bash, or TypeScript for building tooling and automation., • Experience integrating observability (Grafana, Loki, Prometheus / Mimir, OpenTelemetry, or similar) as a default rather than an afterthought., • Strong written communication skills, with a habit of writing docs, runbooks, and wikis that engineers can actually use.Bonus Skills • Experience building or operating Apollo Router / GraphQL federation gateways and supporting subgraph development workflows., • Experience with Backstage or a comparable internal developer portal., • Experience integrating Argo Workflows or similar Kubernetes-native job / pipeline runners into a developer platform., • Familiarity with Databricks or ML Ops pipelines and the developer experience around data / model deployment., • Experience with Tailscale, Auth0, EntraID, or other identity / zero-trust networking tooling., • Familiarity with cloud architectures supporting IoT / embedded systems and distributed, low-power devices.

Job Description We are seeking an experienced Python Developer to join our team supporting the front office. The ideal candidate will have at least 5 years of experience designing, developing, and deploying Python-based solutions in a financial services or investment management environment. This role supports a broad set of stakeholders including equity & fixed income research, trading, and quantitative teams, requiring the ability to work across varying levels of technical maturity. This role also requires participation in the firm’s growing AI initiatives, including governance and integration of AI processes. The individual will collaborate closely with front office teams and Investment Technology leadership to deliver scalable, well-governed Python solutions that support investment decision-making. Key Responsibilities: • Design, develop, and maintain Python-based tools and pipelines to support front office investment teams., • Develop, maintain, and govern shared data patterns across multiple databases, environments, and other enterprise sources., • Support the firm’s cloud migration, including integration of Snowflake and support of Python UDFs., • Build and support interactive tools using Plotly and Dash for business users., • Establish and maintain internal Python package structures, dependency management standards, and environment reproducibility practices., • Implement data quality validation and testing frameworks for data pipelines., • Support AI enablement initiatives including LLM integration, governance frameworks, and review of AI-generated code for production readiness. Key Priorities/Deliverables: • Implement an internal Python package architecture that enables shared utilities across teams., • Establish environment reproducibility and dependency management standards across development and production environments., • Define and document Snowflake-Python integration patterns, including reference implementations for data extraction, analytics, and model scoring, • Establish initial AI governance guardrails including approved model access, data classification for API usage, and review processes for AI-assisted development., • Provide mentoring, code review, and documentation to support Python adoption across teams. Basic Qualifications: • 5 years of hands-on experience developing in Python, • 5 years of demonstrated production deployment & environment management experience., • 5 years of experience integrating Python with enterprise data sources, including Snowflake, SQL Server, and REST APIs., • 5 years of experience building interactive dashboards and visualizations with Plotly and Dash., • Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field. Preferred Qualifications: • Experience designing scalable internal Python architectures in organizations with multiple teams., • Hands-on involvement with AI/LLM enablement in an enterprise context, including integration patterns (MCP, API abstraction layers), data governance, and prompt management., • Prior experience in asset management or investment research, with working knowledge of portfolio analytics, factor construction, and valuation metrics., • Demonstrated ability to design Python package structures and manage dependencies across teams and environments., • High attention to detail, particularly around numerical accuracy, and data quality in a financial context., • Strong proficiency with pandas, vectorized operations, and data quality handling., • Strong communication and stakeholder management skills, with the ability to work directly with non-technical front office users., • Proficiency with version control (Git) and collaborative development practices including code review.

Job Description At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. About the Opportunity At Klaviyo, the Sales team prides themselves on being marketing and product experts. While most companies hire pre-sales Solutions Engineers to just give demos, fill out questionnaires, and only explain setups, that makes us yawn. We're looking for a Solutions Engineer who brings deep technical mastery, strategic thinking, and the ability to own the most complex, high-stakes Mid-Enterprise deals. This is a high-impact individual contributor role for someone who gets energized by ambiguity, rolls up their sleeves to master our product at a molecular level, and uses AI and automation to punch above their weight. As an SE, you'll be a trusted advisor to both customers and our sales organization - leading technical strategy in 6-7 figure deals, owning solution design, and setting the standard for SE excellence through your work What We Do as Solutions Engineers We're technical sellers who drive revenue by winning complex deals. Our job is to lead the technical win - building champions, proving value, and ensuring prospects choose Klaviyo over the competition. We work directly with customers to architect solutions that integrate seamlessly into their tech stacks, taking a consultant-first approach that builds confidence and secures technical buy-in. Beyond closing deals, we use customer engagements as opportunities to prototype and ship improvements to Klaviyo. Recent team projects include: AI-powered demo data generators, a public Chrome extension for troubleshooting API calls, web SDK injectors, and templatized mobile apps for showcasing our SDK capabilities. If you're a creator excited by winning high-stakes deals, prototyping technical solutions, and driving strategic revenue outcomes - this could be for you. How You'll Make a DifferenceLead the Technical Win in High-Stakes, Complex Deals • Own technical strategy for the most complex opportunities - navigating multi-layered stakeholder environments, competitive pressures, and sophisticated buying processes with minimal oversight, • Drive advanced technical discovery, uncovering nuanced pain points and proactively identifying differentiation opportunities, • Host technical workshops aligning solutions to business outcomes with executive presence and strategic communication, • Architect and execute Proof of Value plans that achieve technical selection over competition, • Partner with AEs on deal strategy, bringing competitive intelligence and industry expertise to influence outcomesBring Subject Matter Expertise and Industry Leadership, • Serve as a domain expert in marketing technology, CDPs, AI-driven personalization, analytics, and eCommerce, • Act as go-to resource for competitive and industry landscape questions, • Build strong R&D relationships, actively collaborating to drive positive outcomes and shape Klaviyo's roadmap Develop broad, advanced familiarity with web development, APIs, cloud computing, and software development practices - confidently coaching experienced engineers on complex solutions Leverage AI tools and automation to scale your impact and deliver better customer outcomes Prototype solutions and build proof-of-concepts that demonstrate Klaviyo's differentiation Who You AreRequired: • 4+ years in Solutions Engineering or Pre-Sales - with 4+ years leading technical strategy in high-complexity Enterprise deals (6-7 figures) with minimal oversight, • 4+ years across modern development stacks: Python, JavaScript frameworks (Node.js, React), RESTful APIs, SQL, mobile development exposure, • Familiarity with AI-assisted development tools (Codex, Claude Code) and emerging patterns like MCP, • Strong domain knowledge in marketing automation, CDPs, eCommerce systems, analytics, or data engineering, • Advanced discovery and requirements gathering skills - navigating multi-layered stakeholder environments, • Executive presence and exceptional communication - impressing prospects from executive to developer level, • Demonstrated ability to handle challenging conversations, manage objections, and deliver strategic insightsWhat Sets You Apart:, • You've used AI to scale effectiveness - automation, research, solution design, or development, • You bring deep competitive intelligence and know the landscape intimately, • You've built strong R&D relationships and drive outcomes through influence without authority, • You roll up your sleeves - you dig in, figure it out, and become the expert, • You've elevated team performance through your example and enablement contributions We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations:$118,400—$177,600 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life. Engineering at Gametime You will be a key contributor to the Engineering team responsible for building and maintaining the client-side applications and backend systems that power the Gametime experience for millions of users. We empower engineers to take full ownership of their code and foster a culture grounded in testing, code reviews, observability, experimentation, and operational excellence. At Gametime, we value collaboration, inclusivity, and the strength of diverse perspectives that will create an environment where people love to build together. We are also investing deeply in the future of AI. This includes building internal tools and workflows powered by AI, incorporating agentic systems into our backend architecture, and preparing our marketplace and infrastructure to be AI-ready. Engineers are encouraged to explore and adopt AI capabilities in their development process, and those who contribute to advancing AI adoption within our stack will play a key role in shaping that evolution. The Role We are seeking an experienced Senior Full Stack Engineer to join the Core E-Commerce Platform team. This team is responsible for the technology and systems that power the Payment, Fraud, and Account Management domains of the Gametime marketplace, spanning backend services and user-facing web and mobile applications. This is a senior individual contributor (IC3) position for engineers who demonstrate strong technical ownership, contribute to key projects across the stack, and support engineering excellence through thoughtful implementation and collaboration. You will work closely with Engineering, Product, Design, Data, and business stakeholders to shape the future of our platform end-to-end. Key Responsibilities: • Design and implement high-performance Golang microservices for e-commerce checkout, account management, and fraud mitigation., • Build and maintain user-facing features across web and mobile clients using React and React Native, in close collaboration with Product and Design., • Take ownership of full stack components and features, ensuring reliability, scalability, maintainability, and a high-quality user experience., • Develop, test, monitor, and maintain critical integrations and infrastructure., • Design and support robust internal and external APIs with high throughput and low latency requirements., • Collaborate closely with Product, Design, and Data teams to deliver technical solutions aligned with user and business goals., • Participate in code reviews, share knowledge with teammates, and uphold engineering best practices across frontend and backend codebases., • Drive projects from implementation to production deployment with a focus on quality, performance, and operational readiness., • Contribute to ongoing improvements in system performance, observability, CI/CD workflows, and developer experience., • Explore and help implement AI-powered capabilities within our systems and workflows, including agentic tools and intelligent automation., • Full Stack Development: Experience building end-to-end features spanning frontend, backend, and APIs., • AI Fluency: Familiarity with AI tools (e.g., Cursor, Claude, ChatGPT) or contributing to AI-powered systems is a plus., • Backend Development: Proficiency in building reliable backend systems using Golang (or Python, Ruby, Java, C++, C#, Rust, Scala, etc.)., • Frontend Development: Strong experience with React and familiarity building production web applications., • Mobile Development: Experience with React Native or native mobile development concepts, with an understanding of performance and platform constraints., • System Design: Experience developing distributed systems with a focus on performance, reliability, and maintainability., • API Development: Capable of designing and maintaining well-structured internal and external APIs., • Working Familiarity With: OIDC Authentication (Google, Apple SSO), e-commerce fraud prevention, and payment service provider integrations (e.g., Stripe)., • Cloud Infrastructure: Familiarity with AWS, Google Cloud, or Azure and infrastructure-as-code practices., • Event-Driven Systems: Experience working with messaging systems like Kafka, RabbitMQ, or similar., • Databases: Solid experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL technologies (e.g., MongoDB, DynamoDB)., • Education: Bachelor's degree in Computer Science, Engineering, or a related field., • Proven experience with workflow orchestration and automation tools; minimum 2 years of hands-on experience with EDFlow for streamlining cross-functional data pipelines and legacy system integration.What We can Offer:, • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs, • Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range$187,000—$220,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.

Job Description Position Title: Senior Fullstack Engineer Location: San Francisco, CA Time Type: Full Time The Opportunity: Ohalo is seeking an experienced Senior Fullstack Engineer to build and evolve internal platforms that power our breeding, automation, and machine-learning workflows. This role spans backend services, data systems, web applications, and mobile tools, enabling scientists, engineers, and operators to interact with complex systems in reliable, intuitive ways. You'll focus on internal tooling, system integration, and platform reliability—building the connective tissue between robotics, ML pipelines, and human workflows. Responsibilities: • Design, build, and own internal platforms and infrastructure used by science, ML, and automation teams., • Develop and maintain backend services and APIs using Python (FastAPI) that support web, mobile, and ML-driven workflows., • Build and maintain fullstack internal applications, including:, • Web frontends (e.g., React), • Mobile applications using React Native for operational and field workflows, • Design and operate cloud infrastructure on GCP, including networking, compute, storage, and IAM., • Manage infrastructure-as-code (e.g., Terraform, Pulumi) and deployment pipelines., • Build and evolve scalable data platforms using BigQuery, Python, and Spark., • Implement and maintain service-oriented and event-driven architectures using Pub/Sub, Kafka, and related tooling., • Partner with ML engineers to support model deployment, orchestration, and production integration., • Establish and maintain observability, reliability, and security across services and infrastructure (logging, metrics, alerting)., • Improve developer experience through better abstractions, tooling, CI/CD, and documentation., • Bachelor's degree in a technical field (Computer Science, Engineering, or similar)., • 5+ years of experience as a Fullstack, Platform, Backend, or Infrastructure-oriented Engineer., • Strong backend experience with Python and frameworks such as FastAPI., • Hands-on experience operating cloud infrastructure on GCP (preferred) or AWS., • Experience with infrastructure-as-code, CI/CD pipelines, and production deployments., • Experience designing and operating service-oriented and event-driven systems., • Familiarity with messaging and streaming platforms (Pub/Sub, Kafka)., • Strong systems thinking, with the ability to reason across product, platform, data, and infrastructure layers., • Comfortable working independently in a cross-functional, distributed environment., • Proficiency with frontend development (e.g., React) and mobile development using React Native. About Ohalo: Ohalo™ aims to accelerate evolution to unlock nature's potential. Founded in 2019, Ohalo develops novel breeding systems and improved plant varieties that help farmers grow more food with fewer natural resources, increasing the yield, resiliency, and genetic diversity of crops to sustainably feed our population. Ohalo's breakthrough technology, Boosted Breeding™, will usher in a new era of improved productivity to radically transform global agriculture. For more information, visit . Notes: If you previously applied for a job at Ohalo Genetics, we encourage you to restate your interest in the position by submitting your application. Ohalo is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws. Ohalo is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. No visa sponsorship is available for this position at this time. This organization participates in E-Verify. Posters linked here. No recruiters, please.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Are you a passionate and innovative engineer looking to help develop state-of-the-art AI and robotics products? Are you eager to make a positive difference in the world? Do you want to work alongside mission-driven and values-focused teammates? Shield AI is just the place for you! The Hivemind Quality team is committed to ensuring our autonomy platform delivers a seamless developer experience and enables customers to build world-class autonomous systems. We focus on integrating, validating, and continuously improving the Hivemind ecosystem—spanning autonomy behaviors, sensor processing, multi-agent coordination, ground-control systems, and embedded platforms. Our mission is to ensure that autonomy developers can efficiently build, test, and deploy autonomous applications that meet real-world mission objectives. We are seeking an experienced Software Integration Engineer passionate about autonomy development. In this role, you will become a power user of the Hivemind SDK, deeply understanding its capabilities and identifying gaps from a customer perspective. You will develop and validate customer use cases, evaluate the ease of use for autonomy developers, and provide actionable feedback to Engineering and Product teams. You will play a critical role in integrating new autonomy capabilities into the platform, assessing feature completeness, and anticipating novel customer workflows and edge cases. This position bridges the gap between engineering development and real-world autonomy applications—ensuring our platform empowers customers to build reliable, mission-ready autonomous systems. What you'll do: • Become a systems integration expert for autonomous robotics: Develop deep expertise in our AI-powered autonomy stack., • Learn to configure, deploy, and integrate multi-agent systems across simulation, hardware-in-the-loop, and flight platforms., • Understand the full system end-to-end—from sensor inputs to autonomous behaviors., • Integrate new capabilities into the autonomy stack: Collaborate cross-functionally with development teams to bring autonomy algorithms, perception pipelines, middleware, and platform interfaces into the integrated product. Ensure seamless interoperability between components., • Enable platform bring-up and validation: Lead the integration of autonomy software onto new robotic hardware platforms., • Configure sensor drivers, communication interfaces, and platform adapters to enable full autonomy stack functionality on prototype and production vehicles., • Develop integration tooling & infrastructure: Architect and implement integration frameworks, deployment scripts, and configuration management tools that streamline bringing new capabilities into Software-in-the-Loop (SIL), Hardware-in-the-Loop (HIL), and flight environments., • Support cross-platform compatibility: Work with other integration engineers to ensure the autonomy stack operates reliably across all supported platforms, operating systems, and deployment configurations. Identify and resolve integration issues across system boundaries., • Analyze system behavior and root-cause issues: Evaluate system logs, telemetry, and rosbag data to diagnose integration defects. Collaborate with developers to isolate issues to specific subsystems and drive resolution. Create analysis tooling to accelerate debugging., • Optimize integration workflows and CI/CD: Partner with DevOps teams to streamline integration pipelines, reduce build-to-deploy cycle times, and ensure robust continuous integration of new features. Define integration checkpoints and criteria for release readiness., • Validate system requirements and interface contracts: Work with engineers to ensure integrated capabilities meet product requirements and interface specifications. Assist in developing tooling to verify end-to-end system compliance and traceability.Required qualifications:, • Typically requires a minimum of 7 years of related experience with a bachelor’s degree in CS, Comp Eng, Robotics, or a related field; or 6 years and a master’s degree; or 4 years with a PhD., • Proficiency in programming languages including Python or C++., • Experience with autonomous systems or server applications or middleware., • Demonstrated experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries., • Proficiency with simulation tools and hardware-in-the-loop (HIL) testing environments., • Strong expertise with CI/CD pipelines., • Strong problem-solving skills and a proven track record of delivering high-quality software solutions., • Excellent communication skills, capable of collaborating effectively across various teams and presenting to customers or technical leadership. Preferred qualifications:, • Demonstrated experience building complex systems with a strong understanding of software architecture and design principles., • Experience with hardware or embedded systems., • Expert knowledge of Python., • Experience with ROS., • Experience with white box testing, • Familiarity with networking, operating-systems, and radio communications., • Experience designing automated tooling for testing for GUI applications. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.