Backend Developer Jobs

Software Engineer (AI) The Team + The Role Pendo spent a decade helping companies understand how people use their software. Agents are the next surface, and this team builds the product for it: customers install Pendo on their own agentic systems, including MCP servers, agent frameworks, and copilots, and Pendo shows them what those agents are actually doing. The team helps customers understand which tools get called, where calls fail, where a contract confuses the model, and what to fix next. As an AI Software Engineer, you will own features end to end across the service, interface, and the seam between them. You will work across Go services, Vue interfaces, install experiences, instrumentation, telemetry, and LLM-backed product capabilities. You will start with well-shaped problems and take on progressively more ambiguous work as you build context, writing code others can operate and raising issues early when a spec does not match reality. This role is based in our New York City office. What this looks like day-to-day Full-stack feature delivery: Ship full-stack features end to end across Go services and Vue interfaces. You will work across backend and frontend boundaries to build product experiences that are reliable, usable, and ready for production. Customer install and instrumentation: Build the install and instrumentation experience customers drop into their own agentic systems. Your work should be quick to adopt, hard to get wrong, and light enough to run in production. Agent behavior visibility: Capture agent behavior and make it legible for customers. You will help expose tool calls, failures, latency, and the places where a model and a tool contract talk past each other. LLM-backed product development: Work on LLM-backed features including prompt and context design, tool calling, evaluation, and related failure modes. You will use hands-on judgment from building with models to improve how customers debug and understand agent behavior. Safe, incremental sh

The Software Systems Infrastructure team is responsible for aiding the Software Systems organization with all its internal tooling needs, development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles. We are a fullstack high-paced software engineering team. In this role, you will help establish infrastructure, design and develop software tools that will automate, track or audit processes and methods needed to build safety-critical software that will revolutionize transportation in the 21st century. Borrowing principles from avionics, automotive, and other safety-critical industries, you will work with software, systems and firmware engineers across the Zoox software organization, ranging from state-of-the-art AI Perception, all the way to highly-critical RTOS and middleware components. In this role, you will: Lead the design and development of Geofencer across the stack: a React/TypeScript single-page application with rich interactive map editing (deck.gl, Mapbox), and Python backend services (FastAPI, SQLAlchemy/GeoAlchemy2, Celery) on PostgreSQL/PostGIS. Own core geospatial data workflows: versioned geofence editing, road-network annotation, drivable-area computation and connectivity validation, and the Plan of Record release process that publishes operational constraints to the fleet. Integrate with the broader Zoox ecosystem: the Zoox Road Network (ZRN) map graph, S3 artifact pipelines, downstream fleet and mission systems, and ML-assisted annotation workflows. Operate production infrastructure: B

Job Title: Executive Operations Location: Jaipur, Rajasthan Job Type: Full Time - Work from Office Job Descriptions: An Executive Operations Assistance should work under Directors & Operations Manager and manages end-to-end digital retail processes. Key duties include maintaining website design, development, content management & product listings on the website, overseeing inventory and fulfilment, and resolving customer returns. They act as the bridge between warehouses, courier services, and digital storefronts to drive operational efficiency. Key Responsibilities • Website Management: Design, Development and content management on the website, • Marketplace Management: Updating product catalogues, optimizing pricing, and managing promotions on website and e-commerce platforms. • Inventory & Fulfilment: Monitoring stock levels to prevent stock-outs and coordinating the order lifecycle from processing to delivery. • Data Analytics: Using advanced Excel to track sales trends, manage margins, and provide operational reports. • Vendor Coordination: Liaising with warehouse staff, couriers, and suppliers to ensure on-time delivery and logistics management. • Customer Resolution: Overseeing and Handling escalations, returns, refunds, and customer inquiries to ensure high satisfaction rates. • Co-ordinations: Manages and coordinates with meeting with teams, vendors, customer and suppliers, • Technical Acumen: Understanding of web development languages (e.g., HTML, CSS, JavaScript, backend frameworks) and web architecture. • Leadership: Strong cross-functional communication and conflict-resolution skills Qualifications & Requirements: • Typically, 1 to 4 years of hands-on experience in e-commerce, retail, or supply chain operations. • Technical Skills: Proficiency with marketplace seller panels and advanced spreadsheet management. • Soft Skills: Street smart with Strong analytical capabilities, problem-solving, and communication.

MongoDB Search and Vector Search allows users to execute complex search queries and build RAG applications using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. We are looking to speak to candidates who are based in Toronto for our hybrid working model. Candidate Profile: 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Proficient in modern programming languages and techniques Experienced in developing distributed systems, cloud services, and SaaS products Excellent verbal and written technical communication skills; enthusiasm for collaborating closely with colleagues and mentoring other engineers A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Build and design our integrated search platform, written in Java Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Lead projects and own subsystems Help determine the team’s roadmap and the architecture of our system Success measures: In 3 months you’ll have contributed to the development of an existing project and completed several improvements or bug fixes In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings In 12 months you’ll have a thorough understanding of the systems the team owns and have led a project. You’ll have had a positive impact on our code, product, and team processes About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to cr

MongoDB Search and Vector Search allows users to execute complex search queries and build RAG applications using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. We are looking to speak to candidates who are based in Toronto for our hybrid working model. Candidate Profile: 5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase Proficient in modern programming languages and techniques Experienced in developing distributed systems, cloud services, and SaaS products Excellent verbal and written technical communication skills; enthusiasm for collaborating closely with colleagues and mentoring other engineers A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback A strong sense of ownership over their work, from initial design all the way through maintaining code in production You will: Build and design our integrated search platform, written in Java Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers Lead projects and own subsystems Help determine the team’s roadmap and the architecture of our system Success measures: In 3 months you’ll have contributed to the development of an existing project and completed several improvements or bug fixes In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings In 12 months you’ll have a thorough understanding of the systems the team owns and have led a project. You’ll have had a positive impact on our code, product, and team processes About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to cr

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Snorkel's Platform organization owns the infrastructure and services that power everything at Snorkel — the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. We're a small team with a large surface area, and we're in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven agent first platform. The decisions being made now will define how our platform scales for years. You will be making them. About the Role We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers. We are looking to grow our team of Platform Engineers, and are hiring at multiple levels. What You'll Do Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Develop the end-to-end experience for AI-powered products, including data pipelines, backend services, and user interfaces for interacting with the Kargo platform. Build and evolve Kargo’s customer-facing dashboards and applications, creating intuitive experiences that help users understand and act on complex logistics data. Develop software experiences across multiple surfaces - web, mobile, and kiosk interfaces deployed on Kargo Towers and forklifts. Collaborate with Product and Solution Engineers to build our agentic AI product suite. Strengthen the stability, scalability, and measurability of our backend systems. Experience 5+ years of software engineering experience building products at scale. Strong experience in TypeScript and Python. Experience building and shipping enterprise or consumer-facing products, with a strong understanding of how product needs translate into technical requirements. Comfort working cross-functionally and with direct customer stakeholders. Experience building modern web applications and APIs, with the ability to own features across the full stack. Strong understanding of backend architecture, distributed systems, scalability, reliability, and fault-tolerant system design. Experience with productio

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Collaboration and partnership are vital to how ClickUp operates. A significant portion of your responsibilities will include working closely with members of the backend team and Integrations team to develop features together. Engineers at ClickUp are also responsible for the quality of their own code, so you will work with a QA counterpart to ensure all edge cases are tested. We’re scaling quickly, so we’re recruiting teammates who share our core values, know how to get sh*t done, and add to our very driven culture. You should be proficient in using one or more of the modern JavaScript frameworks (Angular//Vue/etc.) and have a strong understanding of building reusable components and developing for performance. The Role: Build features in Angular 2+ while collaborating with designers, engineers, and product Architect efficient and reusable front-end code that drive the ClickUp user experience Manage individual project priorities, deadlines and deliverables Identify and resolve performance and scalability issues Build and maintain unit and integration tests Fixing bugs fast and finding robust solutions to tackle hard problems Follow established practices for maintaining state inside ClickUp Qualifications: 8+ years working with JavaScript and one or more modern frameworks (Angular 2+ required) Experience with Redux style state management NgRx, Typescript, and RxJs HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility A strong self-starter, operationally-focused; a problem-solver Excellent interpersonal, written, and oral communication skills You’

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Collaboration and partnership are vital to how ClickUp operates. A significant portion of your responsibilities will include working closely with members of the backend team and Integrations team to develop features together. Engineers at ClickUp are also responsible for the quality of their own code, so you will work with a QA counterpart to ensure all edge cases are tested. We’re scaling quickly, so we’re recruiting teammates who share our core values, know how to get sh*t done, and add to our very driven culture. You should be proficient in using one or more of the modern JavaScript frameworks (Angular//Vue/etc.) and have a strong understanding of building reusable components and developing for performance. The Role: Build features in Angular 2+ while collaborating with designers, engineers, and product Architect efficient and reusable front-end code that drive the ClickUp user experience Manage individual project priorities, deadlines and deliverables Identify and resolve performance and scalability issues Build and maintain unit and integration tests Fixing bugs fast and finding robust solutions to tackle hard problems Follow established practices for maintaining state inside ClickUp Qualifications: 5+ years working with JavaScript and one or more modern frameworks (Angular 2+ required) Experience with Redux style state management NgRx, Typescript, and RxJs HTML/CSS experience, including concepts like layout, specificity, cross browser compatibility, and accessibility A strong self-starter, operationally-focused; a problem-solver Excellent interpersonal, written, and oral communication skills You’

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Sydney. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using Python, JavaScr

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. In HBM HIG (High Bandwidth Memory, Heterogeneous Integration Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence). The success of a sophisticated product such as HBM relies vastly on vertical integration and the various engineering working in unison. To provide greater detail, our HBM technology pertains to stacking numbers of DRAM chips along with a logic chip within one package through an assembly technology called TSV (Through Silicon Via). This greatly increases the memory density in a package, while allowing very high-speed signal transmission. Furthermore, "high bandwidth"; is an outstanding memory design area where custom gate-level design and RTL style logic design are blended into the same product, and most of the DDR or LPDDR design is based on the gate-level design only. Lastly, verification and testing (validation) of HBM is the most ambitious due to the total size of the design and complexity of the functions, and in addition to craft, many innovations are needed for verification and validation of the HBM product, the

Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 5+ years of experience in software engineering (full stack experience preferred) Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply ab

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are a small, dynamic team focused on building cloud-managed access control systems. Access Control is our second major product line. Our Access Control solution allows users to manage their doors, schedules, and user credentials from virtually anywhere on their laptop or phone. We consider our team a startup within a startup, with a fair amount of ownership and autonomy. You'll be working alongside a dynamic team of firmware, backend, and frontend engineers to develop this product line. We are committed to a thriving in-office culture. This role requires you to be onsite at our HQ in San Mateo, CA. What You'll Do You think about delivering best-in-class products and experiences - not features You can take a less-than-fully-fleshed-out product idea and drive it to completion Self-motivated problem solver: At Verkada, you will

Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%) , leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office three times per week You will: Recruit a high-performing engineering team. Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects. Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with sta