Development team member jobs in Salinas, CA

Robotics Software Engineer - Application Layer / High-Level San Francisco, CA (On-Site) $140,000 - $200,000 + Equity + Benefits U.S. Persons Only Are you passionate about cutting-edge robotics and real-time systems? Our client - an innovative, venture-backed robotics company - is developing next-generation autonomous platforms that push the limits of perception, control, and intelligent decision-making. They are looking for a Robotics Software Engineer to take ownership of the application layer that brings their robots to life. This is a unique opportunity to help shape real-world, mission-critical robotics technology alongside a small team of exceptional engineers. What You'll Do Architect, develop, and optimize the high-level application layer software for autonomous systems. Build and maintain real-time data pipelines connecting perception, planning, and control systems. Drive Sim2Real workflows - taking simulation code to live hardware environments. Collaborate closely with perception, controls, and hardware teams to integrate and test software across multiple robotic platforms. Profile and optimize performance for low-latency and resource-constrained environments. Contribute to world-class system architecture, clean codebases, and robust documentation. Occasionally assist with real-world field testing and system validation (some travel involved). What We're Looking For Strong proficiency in C++ and Python. Experience architecting and refactoring real-time systems under performance constraints. Deep familiarity with ROS2 (or equivalent robotics middleware). Experience building low-latency data pipelines linking perception → planning → control. Proven ability to debug and optimize complex interactions between hardware, middleware, and application logic. Excellent communication and documentation habits. Self-starter who thrives in a fast-paced, problem-solving environment. Bonus Points Personal or open-source robotics projects (e.g., UAVs, autonomous systems). Experience with RTOS or safety-critical software. Understanding of control theory or computer vision principles. Awareness of cybersecurity concepts relevant to autonomous systems. Why Apply? You'll be joining a team of highly driven engineers tackling real-world robotics challenges with immediate impact. If you're excited by the idea of architecting the brains behind autonomous machines - and you thrive in hands-on, high-performance environments - this is your chance to make a difference.

Mission To engineer the next generation of AI-Assisted Human Annotation Systems. Our goal is to scale the production of high-quality, personalized, and safety-aligned datasets. Key Responsibilities Participate in the customer solution - making process and provide guidance on data services; Design and develop Agent-Assisted Annotation Workflows; Build Automated Quality Evaluation Frameworks; Synthetic Data Generation (SDG) Pipeline; RAG & Fact-Checking Integration. Requirements Tech Stack: Mastery of Python; deep experience with LangChain, LlamaIndex, or custom Agent frameworks. LLM Engineering: Proven experience manipulating LLM APIs for complex tasks (chain-of-thought construction, few-shot prompting). Data Operations: Familiarity with RLHF data formats (SFT/DPO/PPO) and data versioning tools. Mindset: A "Data-Centric AI" philosophy-you understand that code is static, but data is dynamic, and you build tools to manage that complexity.

Crossing Hurdles is a global recruitment firm partnering with, a fast-growing Clinical Data Intelligence platform built on 12+ years of advanced research in Machine Reading and Knowledge Graph technology. It automates the low-level cognitive workflows that slow down clinicians, researchers, data abstractors, and care teams - helping healthcare systems operate faster, more accurately, and more efficiently. Role: Senior Data/AI/ML Software Engineer Location: Remote US Compensation: $150K-$300K (level & location based) + 0.1%-0.5% equity YOE: 7+ years in AI/ML or full-stack SWE Visa: H1B transfers + possible new H1B sponsorship Type: Full-time Why you should consider this Build the intelligence layer behind a platform transforming clinical workflows at scale. Work with cutting-edge NLP, Machine Reading, and Knowledge Graph technologies. High-ownership role in a small, senior, research-driven engineering team (20 people). Join a company backed by $15M+ funding, growing rapidly in the healthcare AI space. Direct real-world impact: your work will be used daily by clinicians and care teams. Remote-first, high-autonomy culture with strong technical leadership. About the role Build and enhance clinical information extractors, summarizers, and automation systems. Scrape, process, transform, query, and analyze structured/unstructured clinical data. Evaluate system performance and refine the clinical knowledge graph. Develop secure, compliant code aligned with HIPAA & SOC 2. Contribute to core data/AI/ML pipelines and infrastructure. Participate in an on-call rotation to ensure system uptime. Requirements / Who is the ideal fit 7+ years of experience in AI/ML engineering or full-stack SWE. Deep hands-on experience with NLP/LLMs, data-intensive systems, and ML pipelines. Strong expertise in Python, SQL, PyTorch, GCP, FastAPI, Django, BigQuery, dbt, Pandas. Experience working with large, messy, clinical/healthcare datasets (nice-to-have). Familiarity with secure coding, privacy, and compliance standards. Must be able to work Pacific Time core hours; US-based only .

Founding Engineer $140K - $200K + equity San Francisco (Onsite Role) Direct Hire A fast growing early-stage start who recently secured a significant amount at Seed is actively hiring 3x software engineers to join their founding team. They're looking for people who are scrappy, move fast, challenge assumptions, and are driven to win. They build quickly and expect teammates to push boundaries. Who You Are Make quick, reversible (“two-way door”) decisions Proactively fix problems before being asked Comfortable working across a modern engineering stack (e.g., TypeScript, Python, containerisation, ML/LLM tooling, databases, cloud environments, mobile frameworks) Have built real, shipped products Thrive in ambiguity and fast-moving environments What You'll Do Talk directly with users to understand their workflows, pain points, and needs Architect systems that support large enterprise usage Build automated pipelines and intelligent agents that process and verify large volumes of data Maintain scalable, robust infrastructure Ship quickly - progress over perfection The Reality You'll work closely with the founding team and directly with customers User value beats hype, trends, and “cool tech” Expect a demanding, high-output culture If you're a Software Engineer with 2 + years' experience and want to work in a growing start-up, please do apply now for immediate consideration.

Job Title: Senior Software Engineer (Full-Stack) Employment Type: Full-time Salary: $175K - $250K per annum About Client: Our client is a Series A start up, growing quickly as they onboard new customers and scale platform, using AI to remake the way consumer underwriting is done, starting with residential real estate. Most consumers' most important financial information is locked up in documents, and we've built technology that is able to harness this data to help make better lending decisions. We've coupled this underwriting agent with advanced document and identity anti-fraud, and we're working toward democratizing sophisticated consumer underwriting for all. About the Role Seeking a Staff Software Engineer with 7-8+ years of experience to lead the re-architecture of our core platform as we scale rapidly. After two years of fast-paced product development, our system has grown into a collection of disparate services, and we need a senior IC to unify, rebuild, and streamline the foundation. This role reports directly to the CTO and plays a critical part in shaping the technical future of the company. What We're Looking For 7-8+ years of professional experience as a strong individual contributor. Deep expertise in systems design, architectural refactoring, and scaling codebases beyond the “fast startup” phase. Experience at a high-growth startup (Seed → Series B/C) where engineering teams expanded meaningfully. Strong full-stack or backend skills (Typescript, React, Node.js, Python preferred). Ability to navigate ambiguity, make sound technical decisions with incomplete context, and iterate quickly. High engineering bar-someone who can elevate the code quality and system design of the entire team. Tech Stack Frontend: Typescript, React Backend: Node.js, Python Databases: Postgres, BigQuery, Redis Cloud: GCP Seniority & Experience 7+ years in full-stack software engineering (backend-leaning). Experience leading technical projects, refactoring code, and re-architecting systems. History of progression or promotions within startup roles (e.g., to Staff/Principal level). Education CS degree from a top 20 school What You'll Do Architect & Rebuild the Core System Re-architect major parts of the existing platform into a cleaner, scalable, and more maintainable system. Refactor or remove unnecessary code to create a cohesive architecture. Drive high-level technical decisions across backend and full-stack systems. Establish and reinforce best practices and architectural consistency across the engineering team. Lead High-Impact Feature & Infrastructure Work Collaborate with the CTO to define long-term technical direction. Work with senior and junior engineers to implement new features and improve systems. Support onboarding of larger enterprise customers by enhancing platform stability and extensibility. Own Key Product Initiatives Lead system architecture for new workflows, including real-time ID, income, and document verification. Integrate and maintain in-house ML models used for fraud detection and financial document understanding. Improve the technical foundation powering our 70%+ automated approval/denial workflow. Why Join This is a rare opportunity to join a fast-scaling Series A company with real customers and traction. You'll act as the technical adult in the room, refactoring, simplifying, and shaping the long-term architecture while influencing major product decisions. You will have a direct impact on the company's core systems and help define the foundation for future growth.

Founding Software Engineer / AI Engineer / ML Engineer / Founding Engineer Compensation: Competitive salary plus healthy equity You'll be joining a top-tier VC backed startup led by repeat founders who have taken multiple companies from zero to IPO and acquisition. The company's mission is bold, building products at the intersection of modern AI systems and large-scale web infrastructure. They're solving problems most teams haven't even thought about yet. This is a rare 0 to 1 opportunity where you'll work shoulder to shoulder with elite engineers, product leaders, and founders who care deeply about quality and speed of execution. What You'll Do • Design and build production-grade systems end to end, from APIs to frontend • Own architecture, deployment, monitoring, and incident response • Develop and evolve AI driven features, working hands-on with LLMs, embeddings, and retrieval layers • Ship and iterate quickly with short feedback loops and real autonomy • Partner closely with design and product to create seamless, reliable user experiences • Help shape engineering culture, tooling, and technical standards You'll Thrive Here If You • Have worked in a startup or fast-paced environment before • Think in systems, focusing on scalability, performance, and reliability • Care about clean APIs, honest documentation, and thoughtful design • Are comfortable experimenting with LLMs, retrieval systems, and modern AI tooling • Bring curiosity, initiative, and a drive to master new technologies quickly Bonus Points • Built or integrated with vector databases such as FAISS, PGVector, or Milvus • Strong experience with TypeScript, modern frameworks, and cloud infrastructure • Familiarity with GPU inference, quantization, or retrieval optimization • Contributions to open source projects or experience in an early stage founding team Why This Role This is not just another job. It's a chance to help shape something genuinely next generation. The engineering bar is high, the product vision is ambitious, and the people you'll build alongside know how to scale world-class technology. If you love ownership, creative problem solving, and building things that matter, this one's for you. SHARE YOUR RESUME TO APPLY via Linkedin

C++ Software Developer E-mail: ***************************** Full time On-Site We are looking for a capable and experienced Software Engineer to build high performance Linux software with strong modern C++ expertise. The Engineer will participate in developing a multi-disciplinary system which includes an AI module and interaction with HW interfaces and sensors. Responsibilities: · Implement, optimize, and integrate C++ software for the edge devices that control the vehicles · Represent the SW team and Architecture guidelines for multiple engineering domains · Develop new modules for autonomous driving applications · Create development tools for the modules: building, configuring, logging and debugging Requirements: · B.Sc / B.A - Computer Science or other relevant university degree · 3+ years of experience in modern C++ (17/20) · 2+ years of experience in multi-threading over Linux systems · Relevant experience in GPU / CPU processing, inter-device communication, and HW interfaces · Proficiency in code development tools: CI/CD, Git, code reviews, Build systems, unit tests · Proven record of developing deployment-level products Nice to have: · Development of systems involving both SW & HW · Experience in Algorithm development or Signal processing · CUDA or OpenCL for GPU acceleration · Realtime systems development

We are looking for a Software Engineer (Fresh Grads) at a YC backed ConstructionTech Startup. You must be a world-class engineer who loves simplifying complex systems, unifying fragmented data, and building high-scale backend systems. Role responsibilities Unification: we're unifying dozens-to-hundreds of fragmented systems under a single standard that we define. Our unification covers data objects, data models, authentication, account-linking UX, and features like filters and pagination. When designing any new feature, we have to do it in a scalable way. For example, when adding filters, we have to research each system we support (and plan to support) and create a generic, system-agnostic solution. On-prem: we're connecting with many types of on-prem systems (SQL-based, DLL-based, API-based), many built 20-40 years ago. We provide tremendous value to customers allowing them to interface with these systems in a secure, fast, reliable way, as if they're modern, cloud-based products. We need to support real-time communication and webhooks when they don't exist (e.g., using web-sockets). Scale & speed: we're handling millions of API requests per day, and growing daily. For our products that we power with our own API (e.g. Analytics), we need to store and retrieve large amounts of data in an efficient way, building elegant caching layers to reduce latency. We ship code daily and iterate quickly based on actual feedback from paying customers (they share tons!). Operational excellence: we're creating a reliable API layer on top of many old systems that don't have APIs. It's like building a skyscraper on quicksand, enforced by SLAs. We need to innovate in expanding the depth and breadth of our integrations while simultaneously increasing our development velocity. We need to be very creative in how to continually test our code and integrations, creating scalable testing frameworks that can catch edge cases and bugs across 1k+ endpoints. Mix of back-end and front-end: we're building front-end apps that dog-food our own APIs (e.g. Sync, Analytics). This helps us build world-class APIs because we suffer any pain present in our API. We're building both the lego blocks and the higher-level lego models: we see what kinds of APIs our SaaS customers want, then also look at the kinds of API niceties we want for our own applications (like a caching layer, advanced filtering) and implement a combination of the two. Variety: without knowing, you might assume adding a new integration is low-ambiguity and routine. But each integration we launch is special, completely different and posing unique challenges. This requires researching that system and its nuances in great depth before building on top of it. It's part engineering, part archeology. Who you are: 0 - 1 years of experience back- end/full- stack software engineer. Must be able to work independently without much guidance. Familiarity with cloud infrastructure (e. g. AWS, GCP, Azure etc) Recent experience at small (Seed/Series A/Series B/Series C) tech startup. Undergrad CS degree from a top 30 undergrad school in US or Canada Self- motivated, high ownership, low ego; desire to work on a fast- paced, intense, fun team. Excited to be our next hire; passion for building a world- class engineering culture Pumped to work in- person in SF 5 days per week.

We're seeking a Full Stack Software Engineer with strong backend development skills in Python and frontend expertise in React.js. You'll help design, implement, and scale full stack web applications that are secure, performant, and user-centric. Responsibilities Architect, build, and maintain backend services using Python (FastAPI, Flask, Django) Design and implement dynamic and responsive frontends using React.js and/or Vue.js Create and consume RESTful and GraphQL APIs Build reusable components and libraries for frontend use Collaborate across teams to gather requirements, define solutions, and ensure quality Optimize performance and scalability of applications Write unit, integration, and end-to-end tests across the stack Participate in peer code reviews and provide mentorship where appropriate Required Qualifications 5+ years of experience in full stack development M.S. degree in relevant domain required Proficiency with Python and one or more major web frameworks (e.g., FastAPI, Django) Advanced skills in React.js, including Hooks, Context, and state management libraries (e.g., Redux, Zustand) Experience with Vue.js or interest in working across multiple frontend frameworks Familiarity with modern frontend tooling: Webpack, Vite, Babel, ESLint Solid experience with HTML5, CSS3, SASS/SCSS, and responsive UI design Strong understanding of RESTful services, API security, and performance optimization Knowledge of relational databases (PostgreSQL, MySQL) and NoSQL options (MongoDB, Redis) Git and CI/CD best practices (GitHub Actions, CircleCI, GitLab CI) Strong communication skills and a collaborative approach to engineering Preferred Qualifications Familiarity with TypeScript Experience with cloud platforms (AWS, GCP, or Azure) Experience with Docker, Kubernetes, or container orchestration GraphQL and Apollo Client experience Familiarity with microservice architecture Experience working with real-time data (WebSockets, MQTT)

We are supporting an early-stage AI company in hiring a Software Engineer to build the core systems powering intelligent, judgment-based automation for large enterprises. This team is creating an enterprise AI layer that learns each customer's data topology, workflows, rules, and quality bar, enabling agents to drive measurable outcomes across engineering, finance, consulting, and operations. What You Will Do You will architect and ship end-to-end product features that enable users to interact with fast, precise agents capable of planning, executing, and iterating in real time. This includes building rich editors, interactive dashboards, and sub-100ms “Autopilot” experiences. You will design integrations across enterprise systems such as Google Workspace, O365, Slack, and Linear. You will help shape the learning flywheel that converts expert feedback into better agent reasoning. You will collaborate closely with product and design to translate customer insights into scalable capabilities used across multiple industries. Responsibilities • Build full-stack features across TypeScript, React, and Python • Develop real-time interfaces where users observe agent reasoning and execution • Design integrations with internal tools and third-party enterprise systems • Contribute to the architecture that grounds agents in institutional data • Collaborate with product, design, and customer teams to ship high-impact features Ideal Background • Up to 5 years of professional software engineering experience • Strong skills in TypeScript, React, and Python • Experience building web applications at high quality and speed • Exceptional personal or open source projects count toward experience Work Environment This is an in-person, high-intensity environment with a deeply collaborative team of around twelve engineers and researchers. The culture is rigorous, ownership-driven, and built around fast iteration and constant execution. The team includes alumni from Apple AI, Microsoft Research, Google, Stripe, and Ramp. If you would like to learn more or explore the role, feel free to reach out directly.

Honey Health is the all-in-one AI back office for primary and specialty care. Our AI agents autonomously handle core back-office jobs, such as aggregating patient data, processing orders and prescriptions, automating prior authorizations, triaging faxes and referrals, and managing RCM (revenue cycle management). Organizations using Honey frequently cut administrative costs in half while improving staff/patient satisfaction and increasing revenue. Built with enterprise-grade security and privacy, our platform delivers real operational transformation. About the Role Honey Health is seeking a Software Engineer to help build leading AI Agent systems that transform healthcare operations. In this role, you will contribute to designing and implementing the infrastructure for training and deploying highly useful AI Agents in healthcare. Our team's mission is to create seamless, robust platforms for AI Agents - enabling them to operate at scale and perform complex tasks safely and autonomously. You'll work closely with AI researchers, product teams, and operations teams to help translate cutting-edge technical research into impactful healthcare applications, automating back-office work and improving patient care. The ideal candidate is passionate about building AI Agents (especially in healthcare) and is motivated to learn, deliver high-quality work, and contribute to safe and beneficial AI systems. This is a full-time role based in the U.S., offering the opportunity to contribute to innovation at the intersection of AI and healthcare. Is This You? You're fired up about Agentic AI and ready to help shape the future of healthcare. You're joining at the perfect moment to build transformative AI agents, and you're here to learn fast and contribute boldly. You're deeply driven to make a meaningful impact - contributing to team culture at Honey, redefining value for healthcare providers and patients, and pushing the boundaries of innovation in one of the most impactful industries. You don't just solve problems - you take on challenging ones with ambition and drive. You bring energy, even in the face of complexity, aiming for excellence when it matters most. You bring initiative - sparking ideas, asking good questions, and supporting the team to explore ambitious paths in a fast-moving, open and exploratory environment. If these describe you, we should definitely talk. In this role, you will: Contribute to building and improving next-generation AI agent infrastructure to train and deploy healthcare AI agents, helping ensure the platform is efficient, reliable, and scalable for production environments. Assist with integrating the latest LLM advancements and in-house research into the agent platform, leveraging generative AI and (where applicable) reinforcement learning to enhance agent capabilities. Prototype features and integrations for AI agents with real healthcare data and services - supporting reliable, safe automation in complex workflows (e.g., automating administrative tasks) - and help implement secure, sandboxed execution to support robust operations. Collaborate with healthcare experts and cross-functional partners to turn novel AI research into practical features, and work with pilot customers and clinicians to validate and refine value in healthcare. Write clean, tested code and contribute to code quality, reliability, and monitoring practices to deliver an excellent experience for healthcare users. You might thrive in this role if you: 3+ years of industry-related experience. Are motivated by using AI as a force for innovation, care improvement, and system-wide change in healthcare. Have exposure to or interest in building AI and agentic systems (e.g., tool-calling stacks, orchestration frameworks), with familiarity or willingness to learn tools like LangChain, context engineering techniques, and RL-enhanced agents. Enjoy building new things quickly and iterating with the team; excited to learn how to scale systems as products grow. Bring a product mindset with a focus on quality and user impact; you care about technically sound solutions that improve end-user workflows and you value iterative improvement, testing, and delivering useful features. Are committed to continuous learning and improvement, with attention to detail and a growth mindset. Join us at Honey Health and apply your skills and curiosity in AI agents to solve real-world healthcare challenges. You will contribute to a new era where Agentic AI systems meaningfully improve healthcare - from reducing administrative burden to enabling better patient care - all while working with a team that values innovation, safety, and impact. We look forward to your curiosity, ownership, and drive in pushing the boundaries of what AI agents can do in healthcare. Apply now to help shape the future of health with us.

A cutting edge AI startup based in San Francisco is looking for a founding engineer to own backend of their code generation platform. Software should be beautiful, and this firm aims to provide generative creativity, allowing users to explore endless designs from a single idea. This role is for an engineer who is passionate about building sophisticated, performant, and scalable backend systems for AI-powered design tools. The ideal candidate will have a proven track record of impactful work at companies known for their sophisticated backend engineering, major contributions to notable open-source projects, or a seriously impressive portfolio of complex backend builds. Experience with chat applications, reliable streaming, headless browser automation (Puppeteer/Chromium), and managing complex project state is highly desirable. Express.js, Next.js (server actions), AWS (infrastructure primitives), Terraform, Pulumi, SST, OpenAI SDK, Anthropic SDK, Gemini SDK, Puppeteer, Chromium 180-235k base + equity

(Primary Backend - Python/Java, Preferably GCP) Checklist Feedback 4+ years of Proficiency in Python or Java for backend development. Hands-on experience with microservices architecture, REST APIs, and cloud-native applications. 2+ years of experience with GCP services (Compute Engine, Cloud Functions, Pub/Sub, BigQuery). 3+ years of experience in Knowledge of SQL Experience with CI/CD pipelines, Docker, and Kubernetes. Understanding of Agile methodologies and DevOps practices. Submit profiles with the above skill set and ratings Expected Outcome Deliver secure, scalable backend services using Python or Java, integrate with GCP for deployment and performance optimization, ensure robust APIs and microservices, and maintain high code quality and reliability. Job Description Responsibilities Design, develop, and maintain scalable backend services using Python or Java. Build and integrate RESTful APIs and microservices for enterprise applications. Work on Google Cloud Platform (GCP) services for deployment, monitoring, and scaling. Collaborate with front-end developers to ensure seamless integration. Implement best practices for code quality, performance, and security. Participate in architecture discussions, code reviews, and technical documentation. Troubleshoot and optimize backend performance and database queries. NoSQL databases (PostgreSQL, MongoDB). Understanding of Agile methodologies and DevOps practices. Required Skills 4+ years of Proficiency in Python or Java for backend development. Hands-on experience with microservices architecture, REST APIs, and cloud-native applications. 2+ years of experience with GCP services (Compute Engine, Cloud Functions, Pub/Sub, BigQuery). 3+ years of experience in Knowledge of SQL Experience with CI/CD pipelines, Docker, and Kubernetes.

Who are we? Whatfix is an AI platform advancing the “userization” of enterprise applications, empowering companies to maximize the ROI of their digital investments. Technology needs adoption. It's no different for AI. As AI reshapes roles, workflows, and human-machine interactions, it also introduces new layers of complexity and user friction. This is where Whatfix plays a pivotal role. A decade old DNA of empowering people to succeed with technology and not replacing them. We call this philosophy Userization: the belief that technology must adapt to the user, not the other way around. At the heart of userization philosophy is ScreenSense, our proprietary AI engine, which continuously interprets both the context of what users are doing in an application or an AI tool and the intent behind their actions. By combining these signals, Whatfix delivers real-time guidance, nudges, knowledge, and automation directly in the flow of work. This intelligence powers our entire product suite. Digital Adoption helps users get productive faster. Product Analytics uncovers friction and closes adoption gaps. Mirror allows employees to train in safe, simulated environments. These are ur embedded with Whatfix AI Agents which supercharge creation, insights, and user guidance. Our upcoming AI-first products are already creating a buzz in the market. Seek is an AI-native assistant that not only knows your business context but can also act across applications to get work done on your behalf. Whatfix Mirror 2.0 is the world's only System plus Role simulation with a complete assessment to lead the Gen AI simulation category. Together, these products reflect Whatfix's commitment to building enterprise-ready AI teammates that maximize productivity and ROI. It gives users a unified, intelligent way to find answers across systems, apps, and knowledge silos and helps anyone looking to deliver fast and contextual answers. Whatfix is bridging the gap between rapid technological change and human enablement-ensuring AI is not only embedded but also usable, trusted, and outcome-driven for every employee. At Whatfix, we're not just making software easier-we're making AI work for people. The company has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries. Customers: 700+ enterprise customers, including 80+ Fortune 500 companies such as Shell, Schneider Electric, and UPS Supply Chain Solutions. Investors: A total of ~$270 million USD has been raised as yet. Most recently Series E round of $125 Million USD led by Warburg Pincus, with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer, Peak XV Partners, and Stellaris Venture Partners. Whatfix's leadership is consistently recognized across top industry analysts and business rankings: Won the 2025 AI Breakthrough Award for the Overall AI-based Analytics Solution of the Year Only DAP to be recognized as a “Leader” across various DAP reports for the past 5+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group. With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards. Named a Gartner Customers' Choice for DAP for the second year in a row (2024 and 2025)-the only vendor in the market to earn this distinction consecutively. We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a super-high CSAT of 99.8% Stevie Award winner in the category (Bronze): Customer Service Department of the Year - Computer Software - 100 or More Employees. Winner of the ISG Paragon Innovation Award in partnership with Sophos (customer) for the EMEA region and finalist in the Transformation Award category. RemoteTech Breakthrough Awards winner for “Software Asset Management Solution of the Year” These recognitions are matched by business performance: Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fifth Consecutive Year Listed on the Financial Times & Statista's High-Growth Companies Asia-Pacific 2025 list. Won the Silver for Stevie's Employer of the Year 2023 - Computer Software category and also recognized as Great Place to Work 2022-2023 Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal Title: Senior Software Engineer - Reliability & Kubernetes (E5) Location: San Jose, CA (Onsite), About the Role: We are looking for an experienced Software Engineer (E5) who is passionate about building systems that are resilient, observable, and designed for scale from day one. This role sits within our Reliability Engineering charter and focuses on strengthening the core platform that powers all Whatfix products - including our next-generation AI offerings. You will design and implement reliability frameworks, evolve our Kubernetes-based infrastructure, and create automation that allows engineering teams to operate their services with confidence. This is a senior individual contributor role where you will directly influence system architecture, lead reliability initiatives across teams, and mature the technical foundations required to support our enterprise and federal customers. Candidates must be authorized to work in the United States on a full-time basis without employer sponsorship, either now or in the future. What You'll Own Architect and deliver platform components that improve reliability, fault tolerance, and system performance Build reusable tooling and automation to reduce manual operations and scale reliability practices across engineering Lead the design and rollout of observability and monitoring frameworks that give teams deep visibility into their services Serve as a technical escalation point for critical incidents and drive long-term remediation through blameless RCAs Strengthen our Kubernetes platform with better automation, deployment workflows, and resource efficiency Partner with engineering, platform, and product teams to define SLIs/SLOs and embed them into how we operate services Support on-prem and regulated environment deployments by ensuring high availability and compliance requirements are met What You'll Bring Strong hands-on programming experience in Java (plus Python or Go is a bonus) Expertise running and scaling Kubernetes workloads in production environments Experience with GitOps practices and tooling (ArgoCD, Helm) Strong grounding in CI/CD, infrastructure as code, and automated deployment pipelines Background in observability (metrics, logs, traces) and designing systems that are measurable and diagnosable Proven experience driving post-incident reviews and converting findings into permanent engineering improvements Ability to break down complex distributed systems problems into practical, high-impact solutions Nice-to-Have Experience Log aggregation tools or stacks (e.g., ELK) Chaos engineering or resilience testing approaches Building internal developer platforms or reliability frameworks Exposure to large-scale or regulated enterprise environments Who Thrives in This Role Engineers who enjoy working across systems, infrastructure, and platform layers ICs who like solving ambiguous problems and setting high technical standards People who think in automation, self-healing patterns, and long-term system health Engineers who want their work to directly influence the reliability posture of company-wide products Soft Skills That Matter Strong ownership and problem-solving mindset Ability to collaborate across multiple engineering groups Clear communication, especially during high-pressure incident scenarios Mentoring and uplifting other engineers through reviews, patterns, and best practices Perks / Benefits Uncapped incentives Equity plan Mac shop, work with the newest technologies Unlimited PTO policy Paid maternity/paternity leave Monthly cell phone stipend Paid UberEats lunches-daily Medical, Dental, and Vision coverage (Whatfix pays 80% of the premium for individuals and their families; for the HSA, Whatfix contributes $1,000 for individuals and $2,000 for a family) Team and company outings Learning and Development benefits At Whatfix, we value collaboration, innovation, and human connection. We believe that working together in the office five days a week fosters open communication, strengthens our community, and drives innovation, helping us achieve our goals more effectively. To facilitate global collaboration, our US teams start and end early, while our India teams start and end late. US teams do not have any evening meetings. Relocation and Sponsorship offered. We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust is the foundation; and Do it as you own it. Whatfix is an Equal Opportunity Employer and an E-Verify participant. All activities must comply with our Equal Opportunity Laws, ADA, and other regulations, as appropriate. We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation will be determined by factors such as level, job-related knowledge, skills, and experience. Due to our company's global nature and our hiring committee's span of different time zones, the interviews for this role will be recorded for those not in attendance to review.

As a software engineer at General Medicine, you'll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more. What we're looking for We're looking for strong engineers to help us build a seamless and beautiful consumer healthcare product. We're looking for folks who will obsess over every detail of our patient experience, and also tackle the complex operational challenges of delivering care at scale. We are looking for engineers who care deeply about technical excellence but are also comfortable moving quickly - we are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA - no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders. We don't expect you to have a healthcare background (though it's great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc). Qualifications 2+ years of experience building web apps as a full-stack engineer Experience with modern infra tooling and programming languages. We currently use AWS, Ruby on Rails, and NextJS, and would expect you to have proficiency in a modern tech stack even if it isn't the one we are using. Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office least 3 days per week. Why join us We're an experienced team that has built a company in this space before, our product has clear product-market fit, and we've raised money from top investors. We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities. If you're an ambitious and entrepreneurial software engineer and this resonates, please apply.

About Us Our client is an innovative fintech startup based in the Bay Area, emerging as a key player in the financial software sector. Since its product launch in summer 2024, this seed-stage organization has been on a remarkable growth path, providing real-time access to card data specifically tailored for B2B software providers. With the backing of esteemed investors such as Nica Partners, QED Investors, RBC, and Visa, they are poised to redefine card issuance technology. Their team of 20 is evolving and expanding, seeking exceptional engineering talent to further their ambitious goals. Job Description This organization is in search of a Staff Software Engineer who thrives in the energetic and fast-paced culture of a startup. The role centers around the development of their state-of-the-art card issuance platform, which facilitates vital real-time card data access for early-stage startups. This is an exciting opportunity to make a meaningful impact in a company with a solid 24-month runway and a promising growth trajectory. Key Responsibilities Design and scale the card issuance platform utilizing modern serverless architecture. Collaborate closely with product teams to implement features that significantly enhance customer growth. Engage with cross-functional teams in the US and Europe to ensure aligned product development. Influence technical decisions as the architecture develops and matures. Work within a hybrid model, attending the Bay Area office on Tuesdays, Wednesdays, and Thursdays. Requirements Required Qualifications: Proven experience at a senior engineering level (or higher). Strong expertise in the fintech domain or payments. Hands-on experience with AWS services, particularly Lambda. Expertise in SQL-based databases. A background in startups, emphasizing rapid execution. Located in or willing to relocate to the Bay Area. Preferred Qualifications: Familiarity with TypeScript (though not essential). Experience with Kubernetes and microservices architecture. Knowledge of payment networks such as Mastercard and Visa. Previous employment at companies like Marqeta, Plaid, Ramp, or Brex. Insight into the card issuance landscape. Benefits Competitive compensation package, combining cash and equity. 401(k) plan with a 4% company match. Comprehensive medical and dental benefits through Rippling. Opportunity for multiple off-site gatherings across the US and Europe, with frequent events in California and New York. Company-branded merchandise. Hybrid work structure requiring three days in the office.

Senior Software Engineer Experience Level: Senior (7+ years) About the Role We're looking for a Senior Software Engineer who thrives on turning conversations into actionable, user-focused solutions. You'll work closely with stakeholders to deeply understand problems, identify root causes, and deliver thoughtful, high-quality software that stands the test of time. Requirements 7+ years of experience designing, implementing, and testing software. Strong fluency in core software design principles. Experience with test-driven development (TDD). Familiarity with service-oriented architecture and distributed system fundamentals. Excellent ability to communicate technical concepts clearly to both technical and non-technical audiences. Bonus points for experience with Microservices, Pub/Sub, Event Sourcing, Eventide, and Message DB. Technologies We Use Languages & Frameworks: Ruby on Rails Event-Driven Tools: Eventide, Message DB Databases: PostgreSQL Infrastructure: Kubernetes, Terraform Cloud: Azure

My client is building next-gen automation and orchestration platforms and needs an engineer who can design fault-tolerant, distributed systems at scale. If you've got hands-on experience with Functional Programming/Concurrency (Erlang, Elixir, Akka, Haskell) and strong distributed systems knowledge, and a track record with microservices, REST APIs, and SQL/RDBMS, this is a chance to work on real-time, high-availability systems that power automation and robotics. Bonus if you've worked with telecom-grade systems, real-time platforms, or CI/CD with Docker/Kubernetes. 💡 Looking for someone excited to solve complex problems, mentor others, and push the boundaries of what's possible in large-scale automation.

Senior Software Engineer - YC-backed AI Platform $150K-£300K + 0.25%-0.75% equity San Francisco (preferred) / Remote - with monthly SF visits Our client, a YC-backed startup with a recent $6M seed round, is on a mission to empower non-technical founders to turn ideas into scalable software businesses. Their platform bridges the gap between AI-generated code and production-ready products - delivering not just the build, but the infrastructure, tooling, and go-to-market support to help new companies succeed. This is a rare opportunity to join a high-caliber founding team (ex-serial founders with a decade of working together) and work on deep, complex engineering problems that make sophisticated tech invisible to end users. What you'll do: Design and build full-stack features from scratch - front-end, back-end, infra, and architecture Architect modular, reusable systems that scale Work closely with product and design to ship quickly without sacrificing quality Collaborate with a small, senior team that values high autonomy and zero fluff Keep pace with the latest technologies and contribute to technical direction Take ownership end-to-end - no “just my piece of the stack” mentality What we're looking for: 4-10 years' experience in software engineering, with strong CS fundamentals Proven 0-to-1 product experience (ideally as a Founding Engineer or early hire at a VC-backed startup) Fluency in TypeScript and React (React Native a plus) Experience with AWS, Docker, Postgres, and scalable architectures Ability to operate without heavy reliance on AI coding tools - you can code and architect from scratch Strong communicator who thrives in high-autonomy, fast-paced environments Based in or willing to relocate to SF (remote possible for exceptional candidates who can attend 3-day on-site sprints monthly) Why join? Be part of a high-bar engineering culture - every teammate is senior-level or above Ship products that help thousands of founders bring their ideas to life Competitive comp - salary at the 90th percentile for top performers, plus meaningful equity Work directly with the founders to shape the company's technical future No bureaucracy, no layers - just a flat, hands-on team moving fast If you're the kind of engineer who loves building from the ground up, hates red tape, and wants to work with an elite team solving ambitious problems, we should talk.