At Lyft, our purpose is to serve and connect. Lyft Urban Solutions designs, builds, and operates bikeshare systems in more than 50 cities worldwide, including New York, Chicago, London, Barcelona, Mexico City, Rio de Janeiro, and Montréal. Our Longueuil facility is the birthplace of BIXI, North America's first automated bikeshare system, and today builds the bikes and stations behind some of the world's largest bikeshare networks. We are looking for a Hardware Field Quality Engineer Intern to join our Field Quality team at our Longueuil facility. Once our bikes, e-bikes, batteries, and stations leave the factory, Field Quality owns how they hold up in the real world: millions of rides, all four seasons, in cities across the globe. You will work alongside field quality engineers to help spot emerging hardware issues, investigate their root cause, and support fixes with engineering, manufacturing, and market operations teams. You will spend time hands-on with failed parts in the lab, and just as much time in the data working out how big a problem really is. Responsibilities: Support failure analysis on parts returned from the field, including requests from enterprise customers, by helping with teardown, inspection, and electrical testing and documenting findings with photos. Help monitor field data, such as vehicle and station alerts and repair records, and flag emerging issues to the team. Build and update dashboards and queries that track reliability metrics and retrofit progress. Assist with field retrofit campaigns by helping identify affected units and tracking progress. Help review repair SOPs and troubleshooting guides used by market mechanics, and suggest improvements. Contribute to field failure investigations in Jira, working with engineers on root cause and corrective actions. Experience: Currently enrolled in a Bachelor's or Master's program in Mechanical, Electrical, Mechatronics, or Industrial Engineering, or a related field, at a Canadian university, gr
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Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Design, build, and operate critical tier-0 backend services that must achieve 99.99%+ availability and handle security-sensitive data. Responsible for improving developer tooling. Design and implement robust, scalable infrastructure, participate in an on-call rotation, and collaborate with engineering teams across the company to plan and safely execute changes in production. Set up and operate infrastructure that participates in decentralized distributed systems, including creating deploy pipelines for artifacts. Build and harden custom Amazon Machine Images (AMIs) used to bootstrap EC2 instances, and implement monitoring, logging, and alerting for these systems. Participate in roadmap planning and prioritization. Deliver value through a strong collaborative approach with multiple customers and stakeholders across Stripe. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science or a related field, plus three (3) years of software engineering or related experience. Must have three (3) years of experience in each of the following: Cloud technologies, including AWS and Azure; Go, Python or Java; Developing, maintaining and debugging distributed systems; Linux OS; Metrics, alarms and dashboards; NoSQL databases; and Handling critical incidents for production systems. Salary: $156,800 - $235,200/yr This salary range represents the base s
ROLE: SENIOR SOFTWARE ENGINEER TEAM: PRODUCT LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW Salt is a North American marketing agency that creates connected experiences through creative, digital & media innovation. Our mission is to “Earn The World’s Attention” and Salt is built to find, develop, execute, and amplify the ideas that are worthy of our clients’ audiences. We’ve structured our agency to do what’s right for our clients – to connect different perspectives, to work across mediums, and to focus on delivering meaningful, effective results. We’re committed to living up to the values in our name. “Salt of The Earth” means we value collaborative, humble, hard-working people here. We’re looking for people who are as smart as they are kind because we believe the right talent and the right culture help us do what’s right for our clients. ROLE OVERVIEW Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing, building, and shipping full-stack product features and backend services, working with the latest AI, cloud, and developer technologies to deliver solutions used across the organization. The remaining ~20% is platform work — keeping the cloud environments, data pipelines, and deployment tooling behind our AI products reliable and secure. Working closely with product and engineering, you will own features end to end — from technical design through release and iteration — while contributing to the CI/CD, infrastructure, and security practices that keep our AI platforms running well. CORE RESPONSIBILITIES Software Engineering Build full-stack applications: Design, develop, and maintain Python & Node.js backend services and modern React frontends, delivering reliable APIs and intuitive user experiences. Own delivery end to end: Translate business requirements into tec
Technology Partnerships Team at Datadog About the Role Datadog’s Technology Partnerships team builds and scales partnerships with the technology companies that matter most to our customers from AI/ML platforms to data platform providers. As a Technology Partner Engineer, you will be the technical bridge between Datadog and our partner developer community, acting as a consultant who helps partners build world-class monitoring solutions on the Datadog platform. You will be the primary technical contact for our partners, guiding them through the entire integration lifecycle from initial architectural design to final product integrations, and launching on the Datadog Marketplace. This is a unique role that combines deep technical troubleshooting with high-level consulting and platform advocacy, working directly with external developers and seeing your contributions immediately reflected in the Datadog ecosystem. What You’ll Do Technical Advisory: Act as the technical lead for partners, advising on OAuth flows, log pipelines, OpenTelemetry, and MCP-based and API-based integrations and configurations. Co-Build: Partner closely with Datadog Partner, Product and Engineering teams to identify, prioritize, and drive joint integration roadmaps; ensure integrations are built, launched, and continuously improved to meet customer needs. Architectural & Code Review: Perform architectural assessments and deep-dive code reviews for partner integrations and marketplace repositories, ensuring they meet Datadog’s quality rubric. Technical Troubleshooting: Solve complex technical challenges for partners via dedicated technical consultations. Platform Advocacy: Identify friction points in the Datadog platform and partner with internal Product and Engineering teams to build a better developer experience. Documentation & Tracking: Maintain public-facing developer documentation including blog posts, and internal tracking systems to ensure transparency and scale. Market Awarenes
The Autonomous Ops & Maintenance (ATOM)Team is developing an innovative platform that leverages artificial intelligence and automated systems to empower engineering groups in safely executing complex operations and software maintenance. Their primary objective is to minimize repetitive toil while delivering the precise visibility, oversight, and trust necessary to run automated solutions in mission-critical environments. Consider it an intelligent virtual collaborator operating alongside development and infrastructure engineers, directly offloading routine operational overhead that currently requires manual intervention. We are looking for a Senior Software Engineer to help us design and scale our foundational architecture. In this role, you will synthesize vast technical datasets into rich structured knowledge, engineer AI-driven components capable of analyzing intricate operational workflows, and construct highly reliable systems to execute automated modifications seamlessly. 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: Lead a greenfield initiative from inception to scale, shaping foundational product architecture, engaging directly with users to refine early concepts Build mission-critical solutions that customers depend on daily Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments Who You Are: You have 6+ years of experience You have a BS/MS/PhD in a scientific field or equivalent experience You are proficient in Go You are comfortable building and operating production services end to end: You will independently own features and components, work through ambiguous technical problems, and be responsible for the reliability, observability, and operational q
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Principal Systems Software Engineer in the Storage and Memory Systems (SMS) group within Micron’s ITP Pathfinding organization, you will architect, design, and develop software that enables and demonstrates the value of future memory and storage technologies. You will work in a small, highly skilled engineering team, collaborating closely with AI/ML application and modeling specialists, software engineers, hardware engineers, and system architects. Your pathfinding work will accelerate the development of future products and influence technical direction. This role requires broad technical expertise and a willingness to contribute across multiple layers of AI and systems software stacks, from AI applications to hardware/software interfaces. Responsibilities Design and modify AI inference software stacks to enable proof-of-concept hardware capabilities. Develop software to quantify and demonstrate the value of proposed system features. Lead software architecture and development efforts, both independently and as a technical lead for small teams. Research emerging AI software topics to identify memory and storage system challenges and opportunities. Develop and modify Linux applications and libraries using C, C++, Python, Rust, CUDA, and/or SYCL for advanced heterogeneous computing systems. Develop and use emulators to predict system‑level performance and functional impacts in advance of hardware availability. Debug system-level issues spanning applications, libraries, o
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join Micron as a Loss Prevention Engineer and be part of our ambitious team dedicated to ensuring a safe and secure environment in our Taiwan location. This ground-breaking role offers the opportunity to work with world-class experts and innovative technology to address risks and safeguard our operations. You will play a crucial role in maintaining our high safety standards and contribute to our mission of transforming how the world uses information. Responsibilities: Fire Protection System Management: Develop and evaluate fire protection systems (e.g., sprinkler systems, VESDA, gas suppression systems). Confirm alignment with regulatory requirements, FM Global, and company standards. Supervise and coordinate routine maintenance of fire protection equipment. Special Risk Control in Semiconductor Environment: Evaluate fire risks associated with specialty gases, chemicals, and manufacturing equipment. Provide fire protection build recommendations and improvement measures for high-risk equipment and processes. Risk Assessment and Change Management: Perform Fire Risk Assessments (FRA). Evaluate fire protection effects associated with equipment or engineering modifications within the Management of Change (MOC) process. Testing, Drills, and Emergency Response: Implement functional testing of fire protection systems. Coordinate fire response drills and assist Emergency Response Team (ERT/ERC) activities. Documentation and Audit Support: Develop and maintain fire safety SOP
The Senior Software Engineer is a senior individual contributor who drives the technical direction of backend services in Go and front-end applications in Vue.js that power the Topgolf guest experience across our venues and digital products. This role owns architecture and design decisions across the stack and influences engineering standards through technical guidance and mentorship, not formal people management. Job Responsibilities Own and implement architecture and technical design decisions for backend services and APIs in Go across one or more product areas Design and build complex, scalable front-end applications and components using Vue.js Define and evolve API contracts and integration patterns (REST and/or event-driven) across services Set and drive automated testing strategy and code quality standards across the stack Provide technical guidance and mentorship to engineers through code reviews, design discussions, and pairing Diagnose and resolve complex, cross-service production issues, improving logging, monitoring, and alerting practices Champion spec-driven development, authoring and reviewing technical specs and design docs for cross-team initiatives Evaluate and drive adoption of AI-assisted development tools (e.g., Claude Code, Cursor) to improve engineering velocity and code quality Critical Skills & Experience Requirements Professional software engineering experience Building backend services in Go Building front-end applications with Vue.js Working with AI-assisted development tools (e.g., Claude Code, Cursor) in a professional setting Providing technical mentorship or driving cross-team technical initiatives BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that
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. The Staff/Principal Business Analyst drives digital transformation initiatives across Assembly & Test (A&T) Operations, with a primary focus on Space & Utilities Planning and Automation, Digitalization, and AI solutions supporting Max-Out activities. This role partners with Capacity Planning, Facilities, Engineering, Operations, Supply Chain, SMAI teams to identify business opportunities, develop digital strategies, and implement scalable solutions that improve capacity/space planning, productivity, operational efficiency, and decision-making across the global A&T network. Key Responsibilities Digital Transformation Leadership Space & Utilities Planning Transformation Max-Out Automation & AI Initiatives Program & Stakeholder Management Key Responsibilities: Develop and execute digital transformation strategies aligned with A&T operational and business objectives. Identify opportunities to simplify, automate, and enhance business processes through AI, advanced analytics, and workflow automation. Build business cases, value realization frameworks, and transformation roadmaps. Lead the digitalization and systemization of Space & Utilities Planni
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least eight years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with givin
About the Team DoorDash's Risk & Insurance team protects and strengthens our business by developing innovative insurance programs and operational strategies that support millions of deliveries worldwide. We partner across Product, Engineering, Legal, Finance, Data Science, and Operations to manage risk, improve customer outcomes, and enable the continued growth of one of the world's largest local commerce platforms. As DoorDash continues to scale globally, Insurance Claims Operations is evolving through artificial intelligence, automation, and digital transformation. Our organization is reimagining how claims are managed by leveraging technology to automate routine work, enhance operational decision-making, and create scalable solutions that improve efficiency while maintaining exceptional customer experiences. About the Role DoorDash is seeking an Insurance Claims Operations Associate to join our Claims Operations team. In this role, you will manage the intake, documentation, and follow-up work that keeps cases moving efficiently from first report through resolution. You will work closely with internal systems, AI-assisted tools, and cross-functional partners to ensure every case is accurately created, updated, and progressed. Your work directly supports the team's ability to deliver timely, high-quality outcomes for the people we serve. This role is well suited to someone who is detail-oriented, organized, and comfortable managing a high volume of work in a fast-paced environment. This position will report to a Supervisor, Insurance Claims Operations and is fully remote. Onboarding will take place over the first 4–6 weeks, Monday through Friday. After onboarding, schedules may be assigned on any day Monday through Sunday based on business needs. You're excited about this opportunity because you will Execute high-volume intake and case processing across multiple channels Prepare and submit FNOL details for claim establishment Review, organize, and accurately in
About the Team The Codex App team builds and maintains the Codex desktop app and IDE extension — the primary ways developers interact with Codex. Our goal is to make AI feel like a real software engineering teammate inside real workflows: editing code, running tasks, reviewing changes, and coordinating long-running work. We sit at the intersection of research, product, and design. We ship quickly, learn from real usage, and continuously refine both the experience and the harness that connects users to the model. About the Role We’re hiring a Frontend Software Engineer to build a top-tier desktop experience and push forward the interface for working with agents. This is a craft-heavy role: you’ll partner closely with design to prototype, iterate, and polish new interaction models — then turn them into reliable, high-performance product. You’ll help define what great looks like for “human ↔ agent” collaboration: what belongs in the UI, how state is represented, how progress and uncertainty are communicated, and how users stay oriented across long-running and multi-step work. What You’ll Do Build and ship polished, high-performance UI across the Codex desktop app and IDE extension. Partner tightly with design to turn prototypes into production-quality experiences (layout, motion, typography, interaction details). Iterate on future interfaces for interacting with agents: delegation, task timelines, status/progress, handoffs, review, and control surfaces. Own frontend architecture decisions (component systems, state management, navigation, rendering performance). Improve quality and reliability through testing, instrumentation, and thoughtful UX for failure modes. Collaborate with platform/model/backend partners to integrate new capabilities into cohesive product flows. You Might Thrive Here If You Have strong experience with modern frontend stacks (React, TypeScript) and a high bar for UI craft. Love design engineering: sweating the details while keeping velocity. Have
At United Integrated Services (UIS), we build more than facilities—we build the infrastructure that enables technologies to shape the future. As a global engineering and construction company specializing in the semiconductor industry, UIS brings together talented people, technical expertise, and innovative solutions to deliver the most complex and critical projects in the industry. Our U.S. team is helping build the next generation of advanced semiconductor manufacturing facilities, working alongside some of the world's leading technology companies. Our work requires precision, collaboration, accountability, and a commitment to doing things the right way—from the planning and engineering stages through construction and project completion. As UIS continues to grow, we are building more than projects. We are building teams, developing careers, and creating opportunities for talented professionals to make a meaningful impact. If you are looking for an opportunity to work on challenging projects, grow your career, and be part of something bigger, we invite you to build the future with UIS. WHAT WE OFFER Comprehensive Benefits – Medical, Dental, Vision, Short-Term Disability (STD), Long-Term Disability (LTD), and Life Insurance provided at no cost to employees. Competitive Compensation – Competitive salaries and opportunities for performance-based incentives. Career Growth – Opportunities to develop your skills, take on new challenges, and grow with a rapidly expanding organization, supported by education reimbursement for eligible employees pursuing continued learning and professional development. Meaningful Work – The opportunity to contribute to some of the most advanced semiconductor construction projects in the country. Collaborative Environment – Work alongside experienced professionals across engineering, construction, project management, safety, procurement, and operations. Summary: The Safety Administrator will support day‑to‑day project ope
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. About the Role We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible. What You'll do This role sits at the intersection of user
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role Customer Experience Engineering is where customers, product, and engineering meet. As a CXE 2, you’ll lead complex technical problems and high-stakes customer situations from investigation through resolution and prevention. You’ll combine technical depth with the judgment and communication needed to guide customers when the answer is not yet clear. CXE works from one shared queue. You’ll take the lead on problems that require deeper investigation, solution design, or cross-team coordination, while helping the team respond to customer needs across the queue. You’ll also turn what you learn into solutions, tools, and AI-enabled workflows that reduce repeat problems. What you’ll do Own complex, ambiguous, enterprise, and escalated customer problems through investigation, resolution, communication, and closure. Come prepared to lead technical customer calls and escalations. Understand the account and issue history, ask precise questions, explain what is known and unknown, and give customers a clear plan and next update. Investigate unfamiliar issues across web applications, APIs, integrations, authentication, data, and code paths. Use logs, audit trails, session data, and monitoring tools to reconstruct what h
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