Production Dx Engineer Jobs

Team Frontend within Supabase owns tooling for the marketing/docs website and the core product called “Studio” Its used by millions of developers around the world building insanely cool applications. We live and die by user feedback and relentlessly address issues every day to make the product better! What You’ll Own Ship products 0→1 and then earn the next version from users. You’ll take features from a blank editor to real users in production, then use what you learn (support threads, usage data, direct conversations) to decide what to build next. We want someone who has done this before: launched something, watched real people use it, and improved it on the strength of that feedback rather than a spec handed down from above. Own the quality pipeline, not just the feature. In a world where an agent writes a large share of the code, fast, the CI is what keeps that speed safe. You’ll build and tighten the layered checks that let us move quickly without breaking things: type safety at the boundaries, lint and format, unit and component tests, contract tests against our APIs, accessibility, visual regression, and bundle-size budgets, so a red check tells you (or the agent) exactly what to fix before anything reaches users. Make sure a bug caught once is caught forever. When something slips through, you don’t just patch it. You add the check that would have caught it, at the cheapest stage that can, so the same regression can’t happen twice. Work end-to-end and in the open. Frontend UI, the API contracts it depends on, preview deploys, observability. You’ll operate autonomously across the stack and do it publicly, in a codebase thousands of developers read and contribute to. What You’ll Bring A track record of taking a product from 0→1. You’ve launched something real, put it in front of users, and iterated based on how they actually used it, ideally something you can point us to. Deep frontend fundamentals with strong React. TypeScript and React, plus a real understand

About Atomic Industries Atomic Industries is reinventing how the world makes things. From cars and aerospace systems to medical devices and packaging, nearly every physical good begins life in a mold or is shaped by a manufacturing tool. Building those tools has always been slow, manual, and dependent on a shrinking pool of master craftsmen, taking weeks or months per part. We are changing that. From our Detroit headquarters, we pair the industrial DNA of America’s manufacturing heartland with the speed and precision of frontier AI. Our platform attacks the hardest problems in geometry, process planning, and fabrication, collapsing production timelines from months to days, and soon to minutes. We don’t just write software: we run a real, fully operational factory that ships production-grade tooling every week, giving us tight feedback loops most companies only dream about. Backed by top-tier investors, we are here to restore speed, flexibility, and capability to the American industrial base and to make manufacturing as agile and scalable as the digital world. Reindustrialization is the mission. The talent we hire is how we win. The Role This is our first dedicated recruiting hire, and it is one of the most important bets we will make this year. You will own how Atomic finds, courts, and closes exceptional people, and you will build the talent function from the ground up: the pipelines, the playbooks, the tooling, and eventually the team around you. We are looking for a tech-enabled, terminally online operator. You live where great talent actually spends its time—on X, in Discords and group chats, in niche Slacks and subreddits, at demo days and hackathons—and you know how to turn a cold DM into a signed offer. You treat sourcing like an engineering problem: instrumented, automated, and relentlessly optimized. You have extremely high agency and need almost no direction to go from “we need to hire this” to “they start Monday.” If you want to be one recruiter of

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Position Summary The Manager, Digital Product Design is a creative and technical leader responsible for driving the digital sculpting vision for licensed and owned consumer products. This role oversees the development of high-quality digital sculpts from concept through production, ensuring accurate character likeness, manufacturability, and adherence to licensor requirements. The Manager will lead and mentor a team of digital sculptors, manage external vendor relationships, and collaborate cross-functionally with design, engineering, and development teams to deliver world-class products on schedule. Key Responsibilities Creative & Technical Leadership Lead digital sculpting development for licensed and owned brands across multiple product lines. Establish and uphold best practices for digital sculpting workflows, tools, and asset management. Ensure sculpted assets meet creative intent, licensor guidelines, engineering constraints, and manufacturing requirements. Demonstrate expert-level ability to capture accurate character likeness and translate 2D reference into compelling 3D sculpts. Team Management & Development Manage, mentor, and develop a team of digital sculptors, providing creative direction, technical guidance, and performance feedback. Balance team workloads across multiple projects with shifting priorities and timelines. Foster a collaborative, supportive, and growth-oriented team culture. Cross-Functional Collaboratio

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... GEDE (Global Edge and Domains Engineering) keeps GoDaddy's domains, edge, and aftermarket platforms running for millions of customers. Within GEDE, the Reliability Engineering team (Domains Production Engineering) is the group that gets the call when something breaks — and, more importantly, builds the systems that mean it breaks less often. We own the monitoring, compliance, and patching toolchain for the whole Domains infrastructure footprint, provide advanced incident support, and are actively modernizing how the org detects, diagnoses, and even auto-remediates issues with AI-assisted tooling! What you'll get to do... Build and evolve observability using Prometheus/Mimir, the Grafana LGTM stack, Elastic/OTEL, and Site24x7 — closing gaps across the org. Steer our cloud migration journey and bolster our efforts to keep the services reliable and performant. Own patching compliance and vulnerability remediation at scale across a mixed on-prem + AWS fleet, hitting hard SLA targets. Operate and extend our multi-tenant Kubernetes/ArgoCD platform, including the migration of core services. Contribute to our AI/automation initiatives: auto-generating runbooks from Prometheus alerts, ServiceNow change-risk scoring, and other tooling that reduces toil for the whole team Consult with partner dev teams on metrics, alert thresholds, and monitoring standards — this is a platform-enablement role, not just a ticket queue. Mentor other engineers on the team and help mature our operational practices. Your experience should include

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. Responsibilities & Skills Minimum 7 years of hands-on experience in Oracle Database Administration and production support environments. Strong experience administering Oracle Database 19c and exposure to Oracle 26ai. Perform Oracle database installations, upgrades, migrations, cloning, refresh activities, and patching using Release Updates (RU), one-off patches, and Grid Infrastructure patches. Strong understanding of Oracle RAC architecture with hands-on experience supporting 2-node, 3-node, 4-node, and 5-node RAC clusters. Expertise in troubleshooting Oracle Clusterware, OCR, Voting Disk, ASM, RAC services, SCAN listeners, and Grid Infrastructure-related issues. Extensive experience in Oracle RMAN backup and recovery strategies, including backup validation, restore and recovery operations, Point-in-Time Recovery (PITR), and disaster recovery testing. Strong expertise in Oracle performance tuning and troubleshooting, including SQL tuning, execution plan analysis, AWR, ASH, and ADDM report analysis. Ability to diagnose and resolve CPU, memory, storage, I/O, network, and operating system-related database performance issues. Strong Oracle ASM administration experience, including ASM disk group management, troubleshooting, rebalancing activities, storage optimization, capacity planning, and performance analysis. Extensive hands-on experience with Oracle Data Pump exports/imports, schema migrations, database refreshes, full database mig

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. As an Operations Modelling Engineer at Micron Semiconductor Operation Asia Pte Ltd, you will apply industrial engineering concept to develop and mantain planning model for production equipment capacities, facilities system capacities, production material flow, and other fab metrics for medium to long term time horizon (up to next 3 years). You will be responsible to ensure efficient management of fab metrics through scenarios comparison and optimization, engaged in constant communication with the various stakeholders for Business Plans and Scenario studies Responsibilities: Maintain and validate capacity/space models through Industrial Engineering concepts to enable accurate assessment of production loading/output needs Develop models for non-equipment related capability to meet the Fab output requirements. Managing complex projects across several different departments and sites, working pro-actively with other departments to identify areas of improvement and actions. Coordinating efforts of the site industrial engineering teams to continuously improve production metrics and optimize use of capital expenditure/capex Understand the impact to the metrics driven by output changes through scenario analysis </span

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. Responsibilities: Optimize production equipment layouts by applying industrial engineering principles to improve material flow, footprint efficiency, and overall factory output. Maintain accurate and up‑to‑date layout documentation, ensuring that all planned tool installations, relocations, upgrades, and removals are reflected in the ramp‑plan layout. Perform onsite assessments together with Facilities and tool owners to validate layout feasibility, verify physical and infrastructure constraints, and ensure that proposed layouts accurately reflect operational conditions Collaborate closely with Manufacturing, Engineering, and Facilities to communicate layout changes, resolve constraints, and ensure alignment throughout the planning and execution process. Develop foundational understanding of fab design, cleanroom protocols, and process areas to support effective layout planning and operational readiness. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. Contributes to a culture of continuous improvement by identifying, testing, and

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. Responsibilities and Tasks: •Timely oversee the production line status(Tool, WIP...) and cooperate for best production performance (Output, cycle time...) •Analysis production related data and provide strategy dynamically to achieve Prod. related KPI Goal •Continuously improvement such as workload reduction Lost time RPT OI scheduling Q-time control...ect. • Establish and modify process management projects. • Abnormal analysis and improvement.( Ability to manage multiple tasks concurrently and provide guide line priority to be focused by a given timeline) ‧ Proven ability to accurately analyze and interpret data. ‧ Demonstrated excellence in teambuilding, mentoring and coaching - Shift team should work rotating shifts (Day/Night; 4-3 or 3-4 or 2-2 schedule ) AI Relevant Job Responsibilities: - Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. - Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. - Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business <p style="text-align:le

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI R&D team is at the core of Robinhood's product intelligence. Our mission is to build and scale high-impact models that power personalization, search, social feeds, fraud detection, and risk management for millions of Robinhood users. We operate as a cross-functional partner to growth, product, and data engineering—translating complex financial data into intelligent systems that make Robinhood smarter for every customer. We move fast, raise the bar, and care deeply about building things that matter. If you've ever wanted to solve personalization problems no one else has cracked—in one of the most data-rich, regulated industries on the planet—this is the team for you! As a Staff Machine Learning Engineer on the AI R&D team, you will own the design and delivery of sophisticated personalization and recommendation systems that directly shape what millions of users see and do on the Robinhood platform. You'll be a technical anchor on a growing, high-caliber team — collaborating with product, data engineering, and fellow ML engineers to take ambitious ideas from zero to one and into production at scale. You'll help define the team's technical direction, mentor engine

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. Preferred Qualifications: Currently pursuing a PhD in computer science, machine learning, or a related field. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. Experience developing and evaluating large-scale models or machine learning systems. Familiarity with distributed training, lar

The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Management retains the discretion of adding or changing the duties of the position at any time. Junior Account Manager - Bilingual (Mandarin) Job Responsibilities: Collaborate with clients and internal cross-functional teams to drive business development initiatives, including pricing strategy, client negotiations, and procurement management. Lead negotiations with suppliers and customers to establish competitive pricing models , ensuring cost-effectiveness while maintaining quality and performance standards. Develop and manage procurement strategies for mechanical and electronic components , optimizing supply chain efficiency and mitigating risks. Work closely with engineering and manufacturing teams to align product development with cost targets, production timelines, and customer requirements. Define and execute sourcing strategies for key components, identifying and qualifying new suppliers to support product innovation and manufacturing scalability. Conduct market research and cost analysis to inform pricing strategies and improve supplier partnerships. Oversee contract negotiations, ensuring favorable terms and long-term sustainability of supplier and client agreements. Support new product introduction (NPI) by working closely with manufacturing teams to ensure seamless production ramp-up and supply chain readiness. Act as the primary liaison between customers and internal teams, ensuring alignment on project goals, timelines, and budget constraints. Identify and resolve procurement and supply chain challenges, improving efficiency and cost savings while maintaining product integrity. Provide regular reports and updates to stakeholders on project status, cost breakdowns, and risk assessments. Qualifications: Bachelor’s degree in Business, Supply Chain, Engineering, or related field. 1+ years in project management, busi

About the role The Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds. Find the leverage in your domain Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. Build the business case, quantify projected impact, and align with domain leadership on priorities. Design the future-state workflow Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). Define the target workflow: what the agent does, what the human does, and where they hand off. Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. Build and connect the systems Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. Handle integration gnarliness: auth,

About the role The Staff Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds. Find the leverage in your domain Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. Build the business case, quantify projected impact, and align with domain leadership on priorities. Design the future-state workflow Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). Define the target workflow: what the agent does, what the human does, and where they hand off. Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. Build and connect the systems Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. Handle integration gnarliness:

About the Team Our London-based team builds the backend systems that help ChatGPT scale reliably. We work on infrastructure close to the product, partnering with engineering teams to improve the performance, resilience, and operability of critical user-facing systems. Our work combines backend software engineering with distributed systems and production reliability. We build shared capabilities, improve high-traffic workflows, and make it easier to introduce new product functionality without compromising performance or availability. About the Role This role is for software engineers who want to build and evolve backend systems operating at significant scale. You’ll write production code, design shared infrastructure, and solve technical challenges involving performance, distributed systems, and system reliability. You’ll also own how those systems behave in production: how changes are rolled out, how issues are detected and diagnosed, and how recurring operational problems can be addressed through better software and system design. This is a strong fit for backend engineers who enjoy complex systems problems and want a direct connection between the infrastructure they build and the experience of ChatGPT users. In this role, you will: Design, build, and maintain backend systems supporting high-traffic ChatGPT experiences. Develop shared services, APIs, and infrastructure that help product teams build and launch new capabilities safely. Improve the performance, scalability, and efficiency of production systems as usage and product complexity grow. Build and improve systems for asynchronous processing and other large-scale backend workloads. Lead architectural improvements and infrastructure migrations while maintaining correctness, compatibility, and safe rollout and rollback. Strengthen monitoring, alerting, and diagnostics to detect problems early and reduce customer impact. Participate in on-call, incident response, and root-cause analysis, and turn operational lea

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems. Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible. Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI. 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: Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem. Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents. Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows. Shape how agents perform actions across Datadog products and third-party systems. Partner closely with AI, platform, infrastructure, and product tea