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Production Supervisor Jobs

8,490 active opportunities · Updated for October 2026

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Explore current production supervisor jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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OpenAI
📍 San Francisco• Full-time• Remote
1mo ago

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

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Adyen
📍 San Francisco• $297K – $401K/yr
1mo ago

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,

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Block
📍 United States of America, United States
1mo ago

Block is building a new generation of AI-powered products with the potential to create entirely new ways for businesses to operate, engage with customers, and grow. We are looking for a self-starting, experienced business development lead to turn these emerging products into meaningful business. This is a highly entrepreneurial role, and requires someone who has done this before: taken technically complex, early-stage products into the market, secured sophisticated enterprise customers and partners, built and converted pilots, and informed pricing and commercial models for scale. This role requires an incredibly driven business development motion – developing our most important enterprise customers and partners, structuring our earliest commercial engagements, and working closely with Product and Engineering to shape what we build. What You’ll Do Win lighthouse enterprise customers and strategic partners Source, develop, and close relationships with sophisticated enterprise customers and strategic partners. Engage with senior executives across technology, product, operations, business development, and commercial organizations Identify where strategic partnerships can accelerate distribution, unlock new use cases, or create differentiated product capabilities. Sell products that may still be evolving, creating conviction around the vision while setting appropriate expectations about what exists today. Build a portfolio of lighthouse customers and partners that provides product validation, commercial proof points, references, distribution, and a foundation for broader adoption. Build pilots that become scaled commercial relationships Drive commercial pilots with enterprise customers and partners with clear objectives, success metrics, economics, timelines, and paths to production and expansion. Own the progression from initial conversation → pilot → production deployment or partnership launch → scaled commercial relationship. Work directly with customers, partne

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Reolink
📍 Los Angeles• Full-time• $75K – $90K/yr
1mo ago

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

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Chime Financial, Inc
📍 San Francisco• $164K – $227K/yr
1mo ago

About the role As a Senior Software Engineer on the AI Enablement team, you will build the internal platforms, primitives, and guardrails that make AI a trusted co-pilot for employees across Chime. You’ll work on systems like Archimedes , Bosun , and easyRAG that power internal AI assistants, developer workflows, and retrieval-backed applications. These platforms make it easier for teams across the company to build, adopt, and scale LLM-powered tools safely and effectively. This team defines Chime’s golden paths for AI : opinionated but flexible patterns that help teams move quickly while maintaining safety, reliability, cost control, and governance. In this role, you’ll help turn emerging AI capabilities into durable, reusable platform features that can be adopted across the company. You’ll partner closely with Platform Engineering, Security, Risk, Legal, and product teams to build scalable, well-governed systems that support internal AI use cases from early prototyping through production adoption. In this role, you can expect to Build and evolve internal AI platforms such as Archimedes, Bosun, and easyRAG , enabling teams to develop and scale LLM-powered applications and workflows Design and implement reusable platform capabilities such as APIs, SDKs, templates, and shared services that make it easier to build safe, high-quality AI-powered tools Prototype and productionize new AI capabilities, identifying high-leverage use cases and turning successful patterns into durable platform features Define and improve Chime’s golden path patterns for LLM usage, balancing developer velocity with safety, reliability, and cost efficiency Develop systems that let teams launch AI-powered assistants and workflows in a standardized, observable, and governed way Establish evaluation, observability, and cost-management practices across AI systems, including quality, latency, safety, and spend Partner with Security, Risk, and Legal to implement practical guardrails for responsible A

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1mo ago

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

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Beacon Biosignals
📍 Remote• Remote• $150K – $170K/yr
1mo ago

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

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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

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Syllo
📍 Remote• Remote• $160K – $200K/yr
1mo ago

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,

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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

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Appian Corporation
📍 United States• $150K – $300K/yr
1mo ago

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

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Capco
📍 Toronto• C$118K – C$152K/yr
1mo ago

The Role As a Senior Application Security Engineer, you will provide hands-on technical delivery for the migration of Web Application Firewall (WAF) capabilities to Cloudflare and/or Akamai. You will work closely with architecture, security, network, and application teams to execute migration waves, onboard applications, implement security policies, and support successful cutovers. You will play a key role in validating functionality, security, and performance, resolving technical issues, and supporting post-migration stabilization across complex enterprise environments. What You’ll Do Deliver end-to-end WAF migrations to Cloudflare and/or Akamai, including configuration, application onboarding, and deployment. Implement and tune WAF security policies, rules, and controls in line with application and security requirements. Execute DNS and traffic-routing changes and support integrations required for successful application migration. Perform testing, troubleshooting, and validation to confirm functionality, security, and performance throughout migration waves. Partner with architecture, security, network, and application teams to support cutover activities, resolve technical issues, and stabilize services following migration. What We’re Looking For 10+ years of relevant experience in network security, application security, infrastructure engineering, or related technical roles, with substantial hands-on WAF experience. Strong hands-on experience configuring, migrating, and supporting enterprise WAF technologies, ideally Cloudflare and/or Akamai. Practical knowledge of DNS, HTTP/HTTPS, TLS, traffic routing, application delivery, and web security concepts. Experience implementing and tuning WAF policies and security rules, troubleshooting application traffic, and resolving migration or production issues. Demonstrated experience working collaboratively with architecture, security, network, and application teams to deliver complex technical changes. Bonus Points For Expe

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Appian Corporation
📍 United States• $200K – $350K/yr
1mo ago

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. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters — driving 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 Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems — spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability — set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological chan

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Zynga
📍 Toronto• Full-time• From $96.4K/yr
1mo ago

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview The Senior Software Engineer on the Ad Monetization team is responsible for bringing interactive advertising experiences to life (such as mini-games, surveys, and more) by transforming approved creative concepts into polished, high-performing ad units. Working closely with engineers, creative leads, and cross-functional partners, this individual owns the technical execution of each experience from implementation through deployment, ensuring every build is reliable, performant, visually polished, and ready for production What You'll Do Build high-quality playable ads and interactive creative units from approved storyboards, design assets, and creative briefs Implement gameplay mechanics, interactive behaviors, transitions, animations, and other UX elements to ensure a seamless user experie

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Coder
📍 Warsaw• Full-time• Remote• PLN 266K – PLN 360K/yr
1mo ago

Coder is looking for a Customer Support Engineer to join our dynamic, collaborative team. In this pivotal role, you’ll work hand-in-hand with our Product and Customer Success teams, making a direct and lasting impact on our fast-growing business. As part of a small, agile group, your expertise will be highly visible, helping shape the future of our Customer Support function. We’re looking for someone who thrives in a fast-paced environment built on open communication, continuous learning, and creative problem-solving. You are proactive, detail-oriented, tactful, and endlessly curious about new technologies. With a natural instinct for automation, process improvement, and exceptional customer experiences, you’ll troubleshoot complex issues, deliver timely and effective solutions, and communicate with clarity and empathy. Above all, you’ll be a passionate advocate for our customers by driving satisfaction, fostering success, and elevating the support experience at every touchpoint. What you’ll do here Reproduce and debug customer issues by building or using existing test environments and tools Communicate tactfully with customers Gather information, provide diagnostic and resolution steps, convey process and product guidance and follow up after issues are resolved Solve incoming technical support requests in a timely manner, including high-severity urgent cases Identify and communicate product usage trends, bugs and feature requests Guide and mentor new team members on processes and procedures Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls Document and record all activity with customers in accordance to both internal and external security standards Help build out the scope of the team by contributing to product documentation, customer knowledge base, and best practices guides Continuously improve process and tools in collaboration with the team Periodic on-call rotation for production-down issues What we’re look

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