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We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2027 full-time start date Demonstrate strong computer science fundamentals, including data str

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Expected to graduate in 2027 with a degree in Computer Science, Software Engineering, or a related technical field from a university in Spain Demonstrate strong computer science fundamentals, including data structures, algorithms, and software

About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each lea

We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data struc

About the Job: LaunchDarkly is seeking a skilled Full-Stack Engineer to join our Experimentation team! You’ll collaborate closely with a cross-functional team of backend, frontend, and full-stack engineers, along with product managers, data scientists, and designers, to help build an experimentation platform that balances power and accessibility. In this role, you’ll contribute to the design, development, and maintenance of scalable, performant services using Go and RESTful APIs, and user experiences built with React and TypeScript. You’ll have opportunities to take ownership of projects, grow your technical expertise, and help improve the quality and reliability of our systems. We’re focused on building a best-in-class experimentation platform that enables customers to run impactful, data-driven experiments with ease and confidence, and we’re actively growing the team to deliver on this vision. We are committed to delivering a leading experimentation platform that empowers our customers to run tests and data-driven experiments seamlessly and at scale. We have a robust product roadmap, and we are actively expanding our teams to execute on it. Responsibilities: Contribute to the design, development, and maintenance of scalable and performant solutions for experimentation and data-driven products, with attention to usability and maintainability. Collaborate with senior engineers on architectural decisions that impact system scalability and performance. Lead limited scope features from definition to deployment Help identify and troubleshoot performance issues and participate in efforts to optimize service reliability. Work closely with product managers, engineers, data scientists, and designers to implement new features and iterate on existing functionality. Participate in code reviews to support code quality and share constructive feedback with teammates. Write clean, maintainable, and well-tested code that enhances the reusability and readability of team systems. Con

Note: if you are an intern, new grad, staff, frontend or fullstack applicant, please do not apply using this link and visit our jobs page for those specific postings. Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization Payments and Risk Sub-orgs: Link and OCS, Payments Acceptance, Risk The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. Optimized Checkout and Link teams work to create best-in-class checkout experiences that enhance customer satisfaction and drive merchant conversion rates. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe's brand and financial stability. Team Matching: Exact team matching for one of the sub-teams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. What you'll do We're looking for backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. Our team collaborates with many cross-functional teams — from Infrastructure to Product — to deliver innovative solutions that address evolving user needs. Responsibilities

Note: if you are an intern, new grad, staff, frontend or fullstack applicant, please do not apply using this link and visit our jobs page for those specific postings. Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the Organization Payments and Risk Sub-orgs within Payments and Risk: Link and OCS, Payments Acceptance, Risk The Payments organization focuses on developing products and platforms that enable users to accept payments from customers efficiently. This includes building APIs for processing payments, enabling regional, non-card payment options, and extending Stripe's capabilities to make it easy for businesses to accept in-person payments. Optimized Checkout and Link teams work to create best-in-class checkout experiences that enhance customer satisfaction and drive merchant conversion rates. The Risk Engineering team develops products that minimize financial and regulatory risks while ensuring a seamless user experience, thereby safeguarding Stripe’s brand and financial stability. Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here . What you’ll do We’re looking for Backend engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in bu

Overview: The Data Acquisition team within the Foundations organization at OpenAI is responsible for all aspects of data collection to support our model training operations. Our team manages web crawling and GPTBot services and works closely with Data Processing, Architecture, and Scaling teams. We are looking for a skilled Full-Stack Engineer to join our Data Acquisition team to build and optimize the interfaces and tools that power our data infrastructure. Responsibilities: Develop and maintain full-stack applications that support data acquisition, including internal tools and dashboards. Collaborate closely with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data ingestion and workflow management. Design and implement APIs to facilitate data interactions between internal services and external data sources. Enhance user experience by developing intuitive web-based interfaces for managing and monitoring data pipelines. Optimize backend services for performance, scalability, and security in a distributed computing environment. Work with legal and compliance teams to ensure our data acquisition processes adhere to privacy regulations and best practices. Deploy and maintain infrastructure using Kubernetes and Infrastructure-as-Code (IaC) methodologies. Analyze system performance, conduct experiments, and improve data workflows to maximize efficiency. Qualifications: BS/MS/PhD in Computer Science or a related field. 4+ years of industry experience in full-stack development. Proficiency in frontend frameworks (React, Vue, or similar) and backend technologies such as Python, Node.js, or Go. Strong expertise in RESTful APIs, GraphQL, and database design (SQL and NoSQL). Experience building data-intensive applications that handle large-scale datasets. Familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker). Prior experience with web crawling and large-scale data processing is a

Job ID: 111269 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. Responsibilities: Build and own features end-to-end from product specs through deployment and maintenance, ensuring high quality at every stage. Drive frontend architecture for modern web applications using React, TypeScript, and/or Next.js. Collaborate cross-functionally to integrate emerging technologies into our evolving infrastructure. Shape the roadmap by contributing technical perspective on architecture decisions and business priorities. Write maintainable code with comprehensive testing, clear documentation, and thoughtful design. Mentor through code reviews that prioritize both quality and knowledge sharing. Support your team through pairing, healthy technical debates, and a culture of mutual growth. Interface with stakeholders to gather requirements, communicate progress, and respond to technical questions. Experience: Education and Experience: Bachelor's degree or foreign equivalent in Computer Science, Engineering, or related field. 1 year of experience in job offered, software development, or related occupation. Skills: Experience with Python and Flask. Experience with AWS services (DynamoDB and SQS) and Kubernetes. Experience with algorithms, data structures, and object-oriented programming. Experience with SQL or NoSQL databases. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity

Capco France recherche un·e Senior React Developer pour accompagner les acteurs des secteurs financiers dans le développement et l'évolution d'applications web modernes, performantes et accessibles. Au sein de notre Practice Technology, Product & Engineering, v ous interviendrez sur des problématiques de développement frontend, d'architecture applicative et d'expérience utilisateur, en étroite collaboration avec des équipes pluridisciplinaires réunissant développeurs, UX/UI Designers, Product Owners et experts techniques répartis dans plusieurs pays. Vous contribuerez à la conception de solutions robustes, réutilisables et maintenables, avec une attention particulière portée à l'accessibilité web, à la qualité du code et aux bonnes pratiques de développement. Vos missions : Concevoir, développer et maintenir des applications web modernes avec React 19 et TypeScript 7 , en privilégiant des architectures frontend évolutives, performantes et maintenables. Contribuer aux choix d'architecture et à l'évolution d'une bibliothèque interne de composants basée sur React Aria, en garantissant leur réutilisabilité et leur cohérence. Placer l'accessibilité web au cœur du développement, en appliquant les standards et bonnes pratiques dès la conception jusqu'aux tests et aux revues de code. Collaborer avec les équipes UX/UI pour intégrer les maquettes Figma, développer les interfaces et assurer les interactions avec les API backend Java. Garantir la qualité des développements grâce aux tests unitaires, d'intégration et end-to-end, aux revues de code et à la contribution aux processus CI/CD, en collaboration avec les équipes DevOps. Votre profil : Une expérience confirmée en développement frontend avec React , TypeScript 6 ou 7 et JavaScript , ainsi qu'une bonne compréhension des architectures de composants, de la gestion d'état et des applications web complexes. Une expertise dans l

We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure. As a Senior Devops Engineer, you will be involved a number of technically challenging problems, oversees design and coding for features. This position will be working very closely in multiple function of the organization. You will be involving every aspect of the product development process, from brainstorming the next great product innovation to tweaking pixels right before launch. Responsibilities Develop tools for application and performance monitoring Contribute to system architecture design Develop and deploy cloud infrastructure in IaC manner. Improve and manage Terraform, K8S and CI/CD pipeline. Design and implement Disaster Recovery & backup solution, Automate and streamline operations and processes. Communicate, escalate and follow up as appropriate to ensure that problems are solved Requirements Solid experience in AWS, Terraform, Kubernetes is a must Experience in building CICD pipelines of a large scale enterprise application Experience in monitoring systems like Prometheus, Grafana, etc. Experience in logging systems like Fluentbit, Loki, etc. Experience in maintaining high-availability and low-latency crypto exchange is a plus Experience in Linux and Network Concepts Experience in GitOps with ArgoCD is a plus 4+ years experience in DevOps & AWS Ability to code. You are expected to write some maintainable code. A strong interest in working in technology and/or financial environments Excellent communication and interpersonal skills to engage both technical an

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Access Essentials Team The Access Essentials team at Okta owns the core control plane backend services, cloud configuration APIs, security and access frameworks, and unified administrative web applications. Our services power core authentication, telemetry pipelines, feature flagging, telephony, certificate management, and admin UI console experiences across Okta's enterprise footprint. We build scalable, highly available backend microservices and web interfaces that serve millions of users and administrators globally. Position Overview As a Senior SET on the Access Essentials team, you will take end-to-end ownership of the test strategy, test automation, and quality engineering for our backend services, cloud APIs, and web frontend applications. You will work closely with local engineering teams, architects, product managers, and cross-functional US partners to design, build, and optimize scalable, automated test solutions that

The Team + The Role Pendo’s feature teams build the experiences that help customers understand their users, improve their products, and get more value from their software. Engineers work closely with Product and Design to solve meaningful customer problems, from evolving widely used product experiences to building entirely new capabilities. We’re looking for a Full Stack Software Engineer with a strong frontend focus to help build what’s next. In this role, you’ll work primarily in Vue, JavaScript, and TypeScript, while contributing across the stack to deliver polished customer experiences and the backend services and APIs that power them. You’ll also use AI as a core part of your development workflow and contribute to AI-powered product capabilities, including work with MCP, LLMs, and emerging technologies across Pendo. This role is based in our Raleigh office. What this looks like day-to-day Feature delivery: Own well-scoped features from implementation through production. Break work into small, independently shippable increments and deliver consistent progress toward team goals. Full-stack engineering: Build across the frontend and backend, with a strong lean toward TypeScript and Vue.js. Deliver polished, reliable customer-facing experiences while contributing to the backend services and APIs that power them. AI and MCP development: Build and expand MCP and AI-powered capabilities that help customers interact with, understand, and act on their Pendo data. Work with emerging technologies such as LLMs and agentic workflows where they support meaningful product outcomes. Production engineering: Write maintainable, production-ready code and apply testing strategies appropriate to the risk of your changes. Follow established patterns for safe rollout, release, and operation in production. AI-enabled development: Use AI coding tools as a core part of your daily workflow. Apply strong engineering judgment, review rigor, and accountability to AI-generated code just as y

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you’ll do You will work across frontend, backend, cloud infrastructure, integrations, and robot-adjacent interfaces. You will partner closely with product, culinary, operations, robotics, firmware and mechanical teams to turn ambiguous operational problems into reliable software. As we scale up, this team will work closely with our product and robotics software teams to solve exciting problems around release and deployment, configuration, learning management, and refining the robot interface. Work with a team to both lead and provide feedback on new designs, triage issues, and analyze system performance. Responsibilities Take ownership of frontend and backend software for configuring, observing, and managing kitchen operations Collaborate with culinary and product teams to gather requirements and translate them into technical solutions Integrate with delivery service providers to receive orders, provide status updates, and synchronize menus Create and integrate with the on-robot control panel interfaces Work alongside firmware, mechanical, electrical, and robotics engineers to ensure cohesive system functionality Contribute to code reviews and architectural decisions What we are looking for Proficiency in Go or C++ for writing backend services, particularly REST-based Proficiency in Vue3 or Svelte (preferred) and TypeScript for writing frontend web applications Familiarity with documentation tools (for example wikis, markdown, docs) and writing design documents and playbooks Ability to work collabor