Applications developer jobs in Salinas, CA

Key Responsibilities Data Validation & Comparison Compare Excel output vs JSON output to ensure correctness, completeness, and structural integrity. Validate schema, key-value pairs, formatting, and business rules. Normalize and flatten JSON to align with Excel tabular formats. Write and maintain Python scripts (Pandas/JSON libraries) for automated data comparison. Quality Assurance Create detailed test plans, test scenarios, and test cases for data validation workflows. Perform functional testing on services, APIs, and data pipelines that generate outputs. Identify defects, analyze root causes, and work closely with developers to resolve issues. Validate regression outputs to prevent data drift across releases. Documentation & Reporting Document data comparison rules, testing procedures, and validation logic. Provide clear defect reports with reproducible steps and detailed examples. Create and maintain QA dashboards, logs, and reports as required. Team Collaboration Work cross-functionally with Development, Product Engineering teams. Drive QA standards, best practices, and improvements to validation processes. Required Skills & Qualifications Technical Skills Strong proficiency in Python (Pandas, JSON parsing, data transformation). Advanced Excel skills (VLOOKUP/XLOOKUP, pivot tables, conditional formatting). Experience with JSON, nested data structures, and schema validation. Familiarity with API testing using tools like Postman or similar. Experience with data diff tools (VS Code diff, Beyond Compare, WinMerge). Solid understanding of QA methodologies, functional testing, and defect lifecycle. Analytical Skills Ability to analyze complex datasets and identify inconsistencies. Strong problem-solving skills and ability to debug logical errors. Ability to interpret business rules and apply them to data validation. Bonus Skills Experience with SQL (joins, filters, data validation). Knowledge of automation frameworks (PyTest, Robot Framework). Experience with Jupyter Notebooks for data visualization. CI/CD pipeline familiarity for automated test execution. Understanding of cloud-based storage (AWS S3, Azure Blob). Education & Experience Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. 3-7 years of experience in QA, Data QA, Data Validation, or Data Engineering QA roles. Experience validating outputs from APIs, ETL pipelines, or reporting systems is highly desirable.

San Jose, CA-onsite Contract W2 and 10+ Only JD: What you need to bring: • Bachelor's degree in computer science or a related field. • 7+ years of hands-on mobile development experience. • Experience in designing, developing and delivering software and/or platforms (libraries) • Deep expertise in mobile technologies and architecture. • Solid understanding of Cocoa Frameworks • Strong object-oriented skills including design, coding and testing patterns. • Familiarity with database technologies (SQL and NoSQL databases) and ORM frameworks (Hibernate, JPA). • Ability to design scalable, reliable, and maintainable software systems. • Thorough understanding of XCode • Proven ability to lead and influence cross-functional teams. Preferred Qualifications: • Experience with mobile payment technologies and integrations • Proficiency in Swift, Objective-C, Kotlin, Java, and React Native. • Familiarity with continuous integration (Jenkins), application monitoring (Crashlytics and fabric.io), mocking tools (Appium and Apiary), build tool development and enhancements, using unit testing and cucumber tests for functional tests • Familiar and comfortable with iOS technologies, the tradeoffs, and the design patterns emerging. • Knowledge of mobile performance optimization techniques. • Experience with machine learning and AI in mobile applications. • Strong ability to influence and inspire teams."

Software Engineer - AI Infra Startup - San Francisco, CA A small, deeply technical AI infra startup in San Francisco, building the platform that next-gen AI apps will run on - think custom compilers, CUDA kernels, and distributed orchestration are looking for a Software Engineer to join their team. What will I be doing? As a Software Engineer you'll help architect and build the infrastructure powering the next generation of AI systems. You'll work across the stack on: High-performance, distributed systems that support real-time AI workloads Kubernetes orchestration, infra tooling, and automation pipelines Low-level runtime components like custom compilers and CUDA kernels Scalable, reliable backend services Collaborating directly with the founding team on technical strategy and core architecture What are we looking for? Strong background in systems programming, backend, or infra engineering Experience with distributed systems, container orchestration, and Linux internals Comfortable working across multiple layers of the stack, from low-level code to infra ops Fast learner who thrives in ambiguous, high-agency environments Bonus: Experience with compilers, CUDA, or ML infrastructure What's in it for me: up to $300k base dependent on experience + 0.2-0.5% equity Work directly with deeply technical founders (ex-Stanford, Google, and more) on some of the hardest problems in AI infra On-site in San Francisco Stealth startup with serious backing, operating lean and hiring intentionally Apply now for immediate consideration!

NO third-party applicants A clinical-stage biotech company in the Bay Area, focused on oncology therapeutics, is seeking a Senior Statistical Programmer to join their highly experienced team. This role replaces a senior consultant and requires strong oncology programming and regulatory submission expertise. The ideal candidate is independent, communicative, and capable of high-level decision-making. Qualifications & Requirements: 15+ years of statistical programming experience; small to mid-sized sponsor company experience preferred Strong oncology programming expertise Recent regulatory submission experience Ability to independently develop SAS programs and specifications (SDTM, ADaM) Experience with data integration for clinical summaries and quality control of submission-ready components Skilled in creating and maintaining listings, tabulations, graphical summaries, and formal statistical estimates/tests Excellent understanding of CRFs, CRF specs, protocols, and related documentation

Senior Software Engineer - Product 📍 San Francisco, CA (In-Person, 5 Days/Week) 💰 $200K-$320K base + 0.1-0.3% equity About the Role: We're partnering with a fast-growing AI startup that's redefining how the insurance broking industry operates. The company builds automation tools that turn hours of manual work into minutes, transforming how brokers process data, generate proposals, and manage customer workflows. As a Senior Software Engineer - Product, you'll play a pivotal role in designing, developing, and scaling the core AI systems that power this transformation. You'll work across the stack, owning both the 0→1 MVP development and the 1→10 scaling phase - building high-impact features that help brokers serve customers faster and better. This is a hands-on role for engineers who love building quickly, solving deep technical challenges, and seeing their work directly improve user experience. What You'll Do Develop end-to-end product features across both frontend and backend layers Write clean, maintainable, well-tested TypeScript (Python a plus) Debug and optimize across the full stack for performance and reliability Balance user needs, technical trade-offs, and business goals when prioritizing features Collaborate cross-functionally with founders, PMs, and designers to ship user-focused products Iterate quickly and ship frequently - moving from prototype to production fast Own product outcomes: from gathering feedback to delivering impactful releases What We're Looking For 4-8 years of software engineering experience, ideally in VC-backed startups (Seed-Series E) Strong proficiency in TypeScript; experience with Python is a plus Proven track record of shipping user-centric, scalable products Excellent collaboration and communication skills across teams Product-minded, you care about user experience as much as clean code Comfortable with ambiguity and thrive in fast-paced environments Willing to work on-site in San Francisco, 5 days per week

A pioneering and well-funded AI company is seeking a talented Python Backend Engineer to build the core infrastructure for its revolutionary autonomous systems. This is a unique opportunity to join an innovative team at the forefront of engineering and artificial intelligence, creating a new category of software that will redefine how complex products in sectors like aerospace, automotive, and advanced manufacturing are designed and developed. Why Join? Build the Future of Engineering: This isn't just another backend role. Your work will directly shape how next-generation rockets, cars, and aircraft are designed, fundamentally changing the engineering landscape. Solve Unprecedented Technical Puzzles: Tackle unique challenges in building the infrastructure for autonomous AI agents, including simulation orchestration, multi-agent coordination, and scalable model serving. Shape a Foundational Platform: As a critical member of a pioneering team, you will have a significant impact on the technical direction and core architecture of an entirely new category of software. Join a High-Impact Team: Work in a collaborative, fast-paced environment where your expertise is valued, and you have end-to-end ownership of critical systems. Compensation & Location: Base salary of up to $210,000 + equity + benefits, while working on-site with the team in a modern office in downtown San Francisco. The Role As a Python Backend Engineer, you will be instrumental in constructing the infrastructure that underpins these autonomous engineering agents. Your responsibilities will span model serving, simulation orchestration, multi-agent coordination, and the development of robust, developer-facing APIs. This position is critical for delivering the fast, reliable, and scalable systems that professional engineers will trust and depend on in high-stakes production environments. You will: Own and build the core backend infrastructure for the autonomous AI agents, focusing on scalability, model serving, and multi-agent orchestration. Design and maintain robust APIs while integrating essential third-party tools like CAD software and simulation backends into the core platform. Develop backend services to process and serve complex 3D visualizations from simulation and geometric data. Collaborate across ML, frontend, and simulation teams to shape the product and engage directly with early customers to drive infrastructure needs. Make foundational architectural decisions that will define the technical future and scalability of the entire platform. The Essential Requirements Strong backend software engineering experience, with a primary focus on Python. Proven experience in designing, building, and maintaining production-level APIs (FastAPI preferred but Flask and Django also considered). Experience with 3D visualization libraries or tools such as PyVista, ParaView, or VTK. Excellent systems-thinking skills and the ability to reason about the interactions between compute, data, and models. Experience working in fast-paced environments where end-to-end ownership and proactivity are essential. Exceptional communication and collaboration abilities. What Will Make You Stand Out Experience integrating with scientific or engineering software (such as CAD, FEA, or CFD tools). Exposure to agent frameworks, workflow orchestration engines, or distributed systems. Familiarity with model serving frameworks (e.g., TorchServe, Triton) or simulation backends. Previous experience building developer-focused tools or working in high-trust, customer-facing technical roles. If you are interested in this role, please apply with your resume through this site. SEO Keywords for Search Python Backend Engineer, Python Software Engineer, Backend Engineer, Software Engineer, Python Developer, AI Engineer, Machine Learning Infrastructure, MLOps Engineer, Backend Software Engineer (Python), Senior Backend Engineer, AI/ML Engineer, Infrastructure Engineer, FastAPI Developer, PyVista, ParaView, VTK, 3D Visualization, Docker, Kubernetes, Cloud Engineer, AI Platform Engineer, Distributed Systems Engineer, Simulation Software Engineer, CAD Integration, CFD, FEA, Scientific Computing, High-Performance Computing (HPC), Agent Frameworks, Workflow Orchestration, Technical Lead, Staff Engineer. Disclaimer Attis Global Ltd is an equal opportunities employer. No terminology in this advert is intended to discriminate on any of the grounds protected by law, and all qualified applicants will receive consideration for employment without regard to age, sex, race, national origin, religion or belief, disability, pregnancy and maternity, marital status, political affiliation, socio-economic status, sexual orientation, gender, gender identity and expression, and/or gender reassignment. M/F/D/V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com.

Robotics Software Engineer (Generalist/Full-Stack) Robotic Software Engineer - Humanoid Robotics Palo Alto, SF Bay Area (Full-time | Onsite) $180k-$200k + equity (flexible for exceptional candidates) We are recruiting building next-generation humanoid robotic systems that combine advanced AI with cutting-edge hardware. Our team moves fast, prototypes aggressively, and puts real robots into the world. We're now hiring a Robotic Software Engineer to help shape our core software stack and accelerate the development of our embodied AI systems. What You'll Work On As part of a small, high-impact engineering team, you will: Build and optimise robotics software in C++ and ROS2 Integrate perception, control, planning, and learning modules Work hands-on with robots to bring up new hardware and run real-world experiments Deploy reinforcement learning / imitation learning policies onto physical robots Develop middleware, interfaces, and tooling that connect AI → hardware Prototype behaviours across diverse robot types (arms, humanoids, mobile platforms, drones) This role directly supports both our AI and hardware teams and has significant ownership from day one. Must-haves: Strong C++ development skills (multi-threading, performance, systems-level) Professional experience with ROS2 Hands-on robotics experience - ideally robot learning on physical hardware Ability to work on real robots (debugging, integration, testing) Generalist mindset and comfort in a fast-paced startup environment Nice-to-haves: Manipulation or kinematics (humanoids, arms, quadrupeds) Controls for mobile robots or drones Sensor/actuator integration, drivers, or middleware experience VR prototyping (Meta Quest or similar) Experience across different robot embodiments Why Join Us Build software that runs on real humanoid robots immediately High ownership within a small, world-class engineering team Competitive compensation + meaningful equity Opportunity to influence architecture, roadmap, and product direction Work at one of the most exciting intersections in tech: AI × robotics

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 .

Job Title: Senior Frontend Developer / Mobile Lead Employment Type: Full-Time ** Love greenfield mobile app development? We're hiring our first Mobile & Frontend Lead to architect and launch a brand-new cross-platform mobile app while leveling up our web platform. Huge impact, no bureaucracy. ** About Us We're representing a rapidly scaling SaaS platform that connects media professionals with the experts they need, helping power millions of articles and enabling smarter, faster communication. With strong revenue, a modern backend foundation already in place, and a high-performing engineering team, the company is now investing in a senior frontend specialist to lead its next major product evolution. Position Overview We're looking for a Senior Frontend Developer / Mobile Lead who can architect, build, and elevate the user-facing side of the platform. This person will drive the creation of the company's first mobile app, lead a full modernization of the web application, and set the long-term technical direction for all frontend development. This role is ideal for someone who loves React, cares deeply about UX, and enjoys mentoring engineers while remaining hands-on. Key Responsibilities • Architect and build a new cross-platform mobile app (iOS & Android) using React + Capacitor • Lead the rewrite and modernization of the web application with a component-driven React approach • Set coding standards, review code, and mentor frontend and full-stack engineers • Partner closely with design to deliver polished, accessible, responsive user experiences • Push UX excellence through performance tuning, animations, and clean interface design • Collaborate with backend engineering by consuming APIs, not building them Qualifications • 5+ years of deep experience with React and modern JavaScript/TypeScript • Proven history of shipping at least one iOS app as the primary architect (App Store link required) • Strong experience building cross-platform mobile apps (Capacitor preferred) • Skilled at turning designs into elegant, consumer-quality interfaces • Demonstrated ability to lead, mentor, and raise the bar for frontend engineering • Independent, highly self-directed, and able to take high-level requirements and run • Must be US-based; no sponsorship available Bonus Points For • Experience with PWAs, push notifications, or real-time interfaces • Familiarity with Algolia, Storybook, or modern CSS/UI component patterns • Experience with testing frameworks like Jest + React Testing Library Why Join Us? • First dedicated frontend/mobile leader - shape the entire client-side engineering vision • Zero backend context switching - pure frontend focus • High-impact role building consumer-grade experiences used daily by media professionals • Competitive compensation package ($190K-$220K), fully paid employee health insurance, 401(k), and strong PTO • Remote-first culture with a supportive, talented engineering and design team

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.

🚀 Senior Engineer (Backend) - Define the Future of AI-Driven Research 💡 We're looking for a Senior Backend Engineer (Python) to join a groundbreaking, Series A-funded AI research platform that is currently defining a new category in the market. This company is experiencing explosive growth, having doubled its revenue in the last four months and is on track to more than double again by the end of the year. They are moving fast and need technical leaders who thrive in an ambiguous, high-impact environment. Key Role Details Job Title: Senior Engineer, Backend Location: Downtown San Francisco (In-Office 4-5 days a week) Compensation: $160,000 - $220,000 Salary Equity: Generous Hiring Goal: 3 Backend Engineers Your Impact & Responsibilities This role offers exceptional ownership and requires you to operate with a high degree of autonomy. You will be expected to essentially act as your own Product Manager (PM), driving projects from concept to completion and shipping features constantly. Core Engineering: Utilize your expertise in Python and Django to build and scale the core research platform. This is a product engineering opportunity. LLM/AI Innovation: Pushing the boundaries of what is possible by working on Research & Development (R&D) and building net new functionality using Large Language Models (LLMs) Product Focus: Directly contribute to the platform's core offering: an AI moderator that conducts qualitative interviews for user research teams at major enterprise companies. The Ideal Candidate Profile The client is looking for experienced engineers who are comfortable operating without a prescriptive process. Experience: 3+ years of professional experience, as well as extensive knowledge of Python/Django and SQL databases (Postgres preferred). Experience deploying and managing services on AWS and familiarity with WebRTC, real- time data streaming, or AI/ML infrastructure is highly beneficial. Background Preference: Candidates with previous experience at a startup or smaller company (Series D and under) are strongly preferred. Work-Life Balance: This is not a "996" company. The expectation is intense work during the day, with a commitment to a healthy balance. Career Trajectory: The team is committed to aggressive career growth and promoting from within. Engineers joining now are expected to quickly move into technical or people leadership roles. Important Notes: Visa Sponsorship: The company does not sponsor visas. Relocation: They are open to relocation and can assist candidates moving to San Francisco.

Role: Senior Software Engineer Must Have skills: Senior Fullstack Developer with 12+ years of overall experience. Strong expertise in React, TypeScript, Node.js, Java, and building scalable web applications. Experience with MERN stack and developing React component libraries is required. Ability to lead development efforts, drive architecture decisions, and manage large-scale projects. Must have hands-on experience with cloud-based development (AWS) and modern software engineering practices. Opportunity to own end-to-end design and contribute to a high-impact supply chain solution.

Software Engineer, C++ Systems About the Role We're seeking a highly skilled Software Engineer (C++ Systems) to join our client's team and help build the core of our GPU virtualization platform. This role is ideal for engineers who thrive on microsecond-level performance optimization, enjoy working deep in complex C++ systems, and are motivated by building foundational infrastructure that directly impacts customers. You'll play a critical role in scaling our platform as we serve a rapidly growing customer base, owning production systems from day one and tackling technically demanding challenges at the forefront of GPU infrastructure. What You'll Do Optimize performance of our C++ GPU virtualization library at the systems level Research and develop solutions for GPU oversubscription, checkpointing, and distributed GPU clusters Support new hardware and software architectures with a deep, end-to-end understanding of the stack Debug low-level systems in production environments Diagnose and resolve performance issues in machine learning workloads Collaborate closely with the CTO on advanced systems design and implementation Required Experience Proven experience building and operating low-level systems in production environments Background working with compilers, kernels, or networking protocols Demonstrated ability to trace and resolve performance issues across complex systems Technical Skills Expert-level C++ proficiency (Rust experience is acceptable, though primary development will be in C++) Experience optimizing C++ and NIC performance Strong systems-level debugging and performance analysis skills Education Degree in Computer Science or a related field from a top-tier program Strong academic performance (3.7+ GPA) Soft Skills Ability to deliver high-quality output quickly in an early-stage startup environment Comfortable taking full ownership of critical production systems Thrives in ambiguous, high-impact problem spaces Company & Opportunity Building GPU virtualization software that dramatically improves GPU efficiency Operating a fast-growing GPU cloud, scaling from $0 to $500K in revenue in just six months Backed by Y Combinator and a recently closed $4.5M Seed round Join as employee #5 at a pivotal moment: product-market fit validated and scaling rapidly Work directly with the CTO on systems challenges few startups get to tackle This is a hardcore C++ systems role focused on GPU virtualization, performance tuning, production debugging, and advanced research Expect ownership, impact, and problems that demand top 0.1% technical skill Why This Role If you love squeezing performance out of low-level systems, enjoy working at the intersection of GPUs, distributed systems, and production infrastructure, and want to help scale a breakthrough platform at an early stage, this role offers a rare and exciting opportunity.

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.

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.

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

Responsibilities: Training data pipeline development. Convert raw data into format acceptable by training jobs on GCP and AWS. Leverage internal and open-sourced training modules. Large scale inferences: Leverage internal and open-sourced inference stack to generate inferences with fine-tuned LLMs on massive amounts of data, for pre-train and post-training. Data processing and data filtering: Ability to efficiently process and filter very large amounts of data, often messy. Scalable web services backend and APIs to support data access and data inspection tools, Minimum Qualifications: 10+ years of programming experience in Python. Extensive experiences in concurrency and parallelism, functional programming, decorators. Proficient in REST API, Redis, VectorDB or other large scale data storage systems. Solid foundational programming skills (algorithms, data structures, OOP, etc). Experience designing, writing, reviewing, testing, and delivering software for applications and systems at scale. Familiarity in other programming languages (Java/GoLang/Rust/Swift). Familiarity with streaming-processing (Kafka). Familiarity with a variety of build tools (Jenkins, Maven, Docker, Gradle).

A top AI Native Command Center startup is looking for a lead software developer to join their growing technology team. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh venture round, they are scaling quickly. As Engineering Lead at Cred, you'll shape how we build. You'll manage and mentor a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core. Key Responsibilities: Lead and scale the engineering function with a strong delivery mindset - shipping high-quality features weekly Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps Design and build internal tools to automate development, QA, and data workflows, powered by AI What We're Looking For Must-Haves: 6-10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles Strong background in DevOps and QA best practices - CI/CD pipelines, automated testing, infrastructure as code Experience building and scaling data-rich products - including APIs, integrations, scraping tools, or cloud platforms AI-native mindset - you actively look for ways to integrate LLMs and automation into engineering processes