Production Supervisor Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Frontend Software Engineer on the Financial Services & Loyalty team within the Consumer & Business group, you'll build and ship the user-facing experiences that power Coinbase's card, payments, and loyalty products for millions of customers. This team owns the end-to-end frontend for products like the Coinbase One credit card, crypto-back rewards, and consumer payment flows. You'll own features from technical design through production release, working closely with product, design, and backend engineering to deliver fast, reliable, and intuitive experiences that drive activation and retention. What you'll do: Own end-to-end frontend development across web and mobile for financial services products using React and React Native, including card onboarding, rewards, transactions, and payment flows. Build new features that expand the value proposition of Coinbase's loyalty and card products, shipping high-quality code that directly impacts customer engagement and revenue. Drive experimentation and funnel optimization efforts that measurably improve conversion, activation, and retention across key user journeys. Partner cross-functionally with product, design, and backend engineering to translate requirements into polished, performant frontend experiences. Identify and resolve frontend performance bottlenecks, contributing to measurable improvements in CUJ late

Location Details: Remote, India 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... This position is for a Staff Software Engineer within GoDaddy’s engineering organization, concentrating on developing scalable, fault-tolerant systems and promoting technical excellence across various teams and projects. As a Staff Software Engineer, you will serve as a technical leader at the division level. You will impact system design and architecture, as well as how engineering is carried out across teams. This position suits engineers who excel in uncertain environments, like tackling difficult technical problems, and can provide clarity, structure, and delivery for large projects. Our teams focus on greenfield and open-ended projects that require firm technical ownership, architectural vision, and collaboration across functions. You will assist in establishing engineering standards, support teams through mentoring, and create systems that boost reliability, scalability, and developer efficiency organization-wide. This role is important for encouraging innovation throughout the engineering organization. It includes promoting AI-assisted development workflows, modern cloud-native methods, and reusable platform features that speed up development across teams. What you'll get to do... Technical Execution & Delivery Lead delivery of complex engineering initiatives while driving predictable execution and long-term technical quality Architect and implement highly available, fault-tolerant distributed systems using AWS, PostgreSQL/Aurora, and MongoDB Architect and lead greenfield projects from concept to production, bringin

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. 🚀 About This Role ClickUp is looking for a Senior Database Reliability Engineer to join our Database Operations team. You’ll be responsible for the performance, integrity, security, and availability of our PostgreSQL databases running on Linux in AWS. This role focuses on day-to-day database administration, operational excellence, and ensuring data is consistently reliable and well-managed across environments. Key Responsibilities Administer, monitor, and maintain PostgreSQL databases (250GB+) in production environments (AWS RDS, Aurora, EC2) Ensure database availability, performance, and data integrity through proactive monitoring and maintenance Perform routine database administration tasks including patching, upgrades, vacuuming, reindexing, and statistics management Execute and manage backup, restore, and disaster recovery procedures, including regular testing of recovery plans Handle user access management, roles, and database security to ensure compliance with best practices Perform capacity planning, storage management, and growth forecasting Troubleshoot database issues, including performance bottlenecks, locking/contention, and failed jobs Support application teams with query tuning, schema changes, and release deployments Manage database migrations, upgrades, and change requests with minimal downtime Maintain documentation for database configurations, standards, and operational procedures Participate in on-call rotations and provide support for production incidents Qualifications 7+ years of experience in a senior database administrator or Database Engineering role Strong hands-on PostgreSQL ad

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. 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. Global EHS & Sustainability is building a future-ready operating model founded on Trusted Data, AI Enablement, and Decision Intelligence. As the Solutions Engineer, EHSS Solutions , you will design, develop, and validate digital capabilities that improve EHSS operations through analytics, automation, AI-enabled solutions, intelligent workflows, and decision-support tools. You will partner with EHSS SMEs, site teams, PMO, SMAI, IT, and technology partners to transform business needs into scalable and supportable digital solutions. Your initial focus will be AI enablement, workflow automation, analytics, and decision-support capabilities. You will lead technical solution design, prototyping, and pilot activities while partnering with SMAI, IT, and delivery teams to prepare validated solutions for production deployment. Key Responsibilities Design & Deliver Digital Solutions Design, develop, and validate AI-enabled solutions, intelligent workflows, analytics capabilities, automation tools, and internal EHSS a

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. We are seeking a Senior Manager with 10+ years of experience to lead the Supply Chain Planning Intelligence team within our Enterprise Planning Solutions (EPS) organization, part of Micron’s IT Enterprise AI function. This is not a traditional supply chain applications role—it is a planning transformation leadership role. In this position, you will lead a hybrid team of Industry Analysts, Data Scientists, and Solution Architects to build and scale the intelligence layer across Micron’s supply chain planning ecosystem. Your team will focus on making planning smarter, faster, and increasingly autonomous, independent of the underlying tools or platforms. Responsibilities: AI-Led Planning Transformation (Primary Focus): Define and own the Planning Intelligence roadmap — what decisions Applications Teams should be automating, augmenting, or accelerating with AI in the next 12–24 months. Lead adoption of Generative AI, agentic workflows, and evolving AI tools across supply chain planning domains. Identify and scale high-impact use cases — exception-based planning, AI scenario generation, natural-language planning insights, decision journaling. Drive end-to-end AI lifecycle from problem framing through PoC to production deployment. Ensure AI capabilities improve actual planning outcomes — fill rates, decision latency, manual effort reduction — not just deployment counts. Define the architecture for a unified Planning Intelligence layer that works with or without specific planning

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. Lead the Future of AI-Powered Manufacturing at Micron Micron is accelerating its transformation toward Autonomous Operations through Artificial Intelligence, advanced analytics, digital twins, robotics, and intelligent automation. As a Staff/Principal Full-Stack AI Engineer , you will be a technical leader driving the strategy, architecture, and delivery of next-generation AI products that power smarter manufacturing across Micron's global network of fabs and assembly/test sites. In this highly influential role, you will own AI solutions end-to-end—from data engineering, machine learning, and agentic AI systems to modern full-stack applications, digital twin platforms, robotics integration, and edge-to-cloud deployment. Working closely with data scientists, software engineers, robotics teams, and manufacturing leaders, you will transform innovative ideas into scalable, production-grade solutions that improve efficiency, increase automation, and enable intelligent decision-making at enterprise scale. This is a unique opportunity to shape the future of AI in semiconductor manufacturing and directly contribute to Micron's vision of autonomous, data-driven opera

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

This is Adyen. Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products About the Role The Financial Products org at Adyen is at the forefront of our evolution, building the foundational infrastructure that enables our customers to manage their finances, issue cards, and access credits and financing globally. Adyen is building a Machine Learning Engineering team in San Francisco focused on Credit Risk Modeling for Underwriting within Financial Products. This team will develop the models, scorecards, and production systems that enable Adyen to scale its credit products 100x. As a Staff Machine Learning Engineer you will design, productionize, and operate machine learning models and rule-based decision systems that power credit products. You will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement. This role is ideal for an engineer who combines strong machine learning and production engineering experience with sound judgment in high-integrity financial systems. You will help build continuous data flywheels that improve underwriting decisions while balancing rapid product innovation with robustness, explainability, and global scale. We are looking for engineers with a customer-problem-first mindset and experience building reliable ML systems in production. You will work closely with product,

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Position Title: Graphic Designer Location: Los Angeles, CA Job type: Full-time Report to: Head of Marketing Company: Reolink, an innovative leader in intelligent visual technology, is committed to transforming home security through advanced, reliable, and user-centric solutions. Visit reolink.com to learn more. Job Summary: We're looking for a talented Graphic Designer to help bring Reolink's security cameras and smart home solutions to life through striking visual design. This role will focus on producing polished graphics across digital and print channels that highlight product features like 4K clarity, color night vision, AI-powered detection, solar power, and weatherproof durability while building trust, reassurance, and aspiration around home and business protection. You'll work hand-in-hand with the Content Production Manager, Head of Marketing, Copywriter, marketing team, and HQ to create bold, brand-forward visuals for digital campaigns, social media, website assets, product launches, retail displays, email marketing, and packaging. The ideal candidate combines strong design craft and typographic sensibility with a sharp storytelling instinct, able to make security tech feel approachable, modern, and empowering for everyday homeowners and small business owners. Key Responsibilities: ● Design on-brand graphics for social media, digital ads, website hero content, email marketing, and product launches. ● Create sta

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 Developer Infrastructure org is the engine behind Robinhood's entire engineering organization — a collection of tightly integrated teams whose collective mission is to make every engineer at Robinhood faster, more reliable, and exponentially more productive. The org spans four major teams: DevX (Developer Experience), TestX (Test Infrastructure), Backend Platform, and Mobile Platform. DevX owns Robinhood's monorepo and Bazel-based build infrastructure — the critical layer between a developer writing code and that code being ready to ship — along with the company's full CI/CD pipeline and remote build execution cluster. TestX owns the infrastructure behind Robinhood's entire test experience: the integration test environments, and personal development environments that serve as miniature simulations of the full Robinhood system, giving engineers a safe, isolated space to test their code end-to-end before it ever touches production. Backend Platform and Mobile Platform own the core language runtimes, libraries, IDEs, and developer toolchains across Python, Go, TypeScript, Swift, and Android. Together, these teams share a single north star: leveraging AI and agentic systems

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. Beacon Biosignals is seeking a Machine Learning and Algorithm engineer! As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain the machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development. At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact. This role is 100% remote from anywhere in the U.S. Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris. What success looks like Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications and requirements gathering, data curation and labeling, development, failure-analysis, production, maintenance, and documentation. Select, implement, and de

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P . Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX, and other top-tier investors. Role Overview We're hiring a quantitative trader/developer for Capital Markets which covers trading, hedging, and market-making strategies across our stablecoin and FX business. You'll have the opportunity to work directly with the trading desk on strategies with real, immediate P&L impact, with daily 1:1 mentorship from the experienced traders and engineers leading Capital Markets. You're evaluated on the strategies you ship and the P&L they generate. You own a thread from idea to live trading, and the person you're building it with is a trader. We're specifically looking for someone with a trading background: a prop trading firm, a crypto market maker, or a trading platform where you've both written the code and owned the trading decision it produced. Key Responsibilities: Trading strategy development. Develop, maintain, and improve trading and hedging strategies across our stablecoin and FX business, from idea to live execution, with full ownership of the outcome. Production trading systems and live operations. Own the reliability, observability, and operational performance of our live trading environment. Monitor systems in real time, act as primary responder to production issues, and work with the desk to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability. Production tooling and operational safety. Build and improve internal tools, dashboards, alerts, and automation that

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role We’re seeking a Senior Data Scientist to help us evaluate and improve the quality and performance of our AI systems. You’ll develop rigorous approaches to measuring system behavior, run experiments, investigate issues, and turn complex data into actionable decisions. This is a hands-on role at the intersection of data science, engineering, and applied AI. You’ll work directly with production data and systems and partner closely with Engineering, Product, and Analytics. Responsibilites AI Evaluation: Develop quantitative methods and tooling to evaluate AI system quality and performance. Experimentation: Design and run experiments to compare approaches, understand tradeoffs, and measure the impact of changes. Quality Monitoring: Build repeatable processes to identify regressions, anomalies, and changes in system performance. Data Analysis: Extract, transform, and analyze production data to support technical and product investigations. Technical Investigation: Diagnose complex issues involving data, models, and production systems, identifying root causes and potential solutions. Measurement & Instrumentation: Partner with Engineering to improve how system quality, reliability, and performance are measured. Internal Tooling: Build tools and dashboards that make system performance easier to understand and monitor. Communication: Clearly communicate findings,

Company: tastytrade Role: Software Engineer (Ruby) Location: Chicago, IL — Hybrid Salary: $130,000-$150,000 As a Software Engineer you will be part of a team that builds out the technology powering our retail brokerage business and supporting our other business initiatives. We care about the speed and stability of our back-end systems as much as we care about the customer-facing applications we build. Our architecture is distributed and consistently evolving as our business grows and we face different technical challenges, but always with a focus on practicality and performance. You'll help by modifying existing systems, taking ownership of current systems as well as green field projects, and troubleshooting issues as they arise. Our engineers work with a plethora of tools including Java, Javascript, and Ruby. You'll work primarily in Ruby but will have opportunities to expand your skill set into areas where your interests and our technology intersect. Ruby doesn't have to be your primary language today. If you're strong in another object-oriented language — Java, for example — and you're genuinely keen to make Ruby your day-to-day, we'd like to hear from you. Our technical interview is conducted in Ruby wherever possible, so you'd need to be comfortable enough to code in it by the time we meet. What You'll Do Work in multiple languages across different parts of the tastytrade stack and/or front-end trading client applications. Design, build and maintain services in a distributed architecture, thinking about failure modes, latency and data consistency as you go. Provide guidance and leadership to more junior members of the team when questions arise about language or implementation specifics, and contribute in a meaningful way to our peer review process. Translate requirements and technical direction into production-quality code with lightweight guidance from a senior engin

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead Applied AI Engineer Location: Remote (US) Grow your engineering career building the AI systems that understand, model, and rebuild enterprise applications — powering AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Lead Applied AI Engineer, you will serve as a technical linchpin for the team building AI systems that reason about enterprise applications end to end — spanning agents and orchestration, specification extraction from existing systems, application intelligence and retrieval, and rigorous LLM evaluation. These skills are shared across the team, so you'll bring production depth in some of these areas and the range to grow into the others. Equipped with cutting-edge AI tooling, you'll design and deliver systems of real sophistication, shape engineering practices, and deepen your expertise while ensuring flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize production AI systems while keeping a strong hands-on technical presence. Build Production Agents: Design reliable agents