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Infrastructure Network And Supply Engineer Jobs

10,000 active opportunities · Updated for October 2026

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Explore current infrastructure network and supply engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Blocktech
📍 Singapore, Singapore• Full-time
2mo ago

About BlockTech As a Quantitative Trader on our Singapore trading floor, you’ll own positions and PnL end-to-end from interpreting live market flow and liquidity through tuning and intervening in our automated systems, all the way to shaping the next generation of execution logic and trading tools. You’ll sit shoulder-to-shoulder with Quantitative Researchers, Quantitative Developers, and Software Engineers, and your decisions will directly drive how we trade across venues. The role Managing and monitoring Delta1 positions across multiple venues, owning the PnL and risk that comes with them Reading live market flow, liquidity conditions, and market events, and translating that read into concrete trading and execution decisions Tuning and parameterising our automated and semi-automated systems, and knowing when to step in to manage risk or capture an opportunity Improving execution quality and market-making performance through data-driven analysis of strategy behaviour Designing and specifying the trading tools, dashboards, and analytics that the desk relies on to make decisions Collaborating closely with researchers, developers, and engineers to sharpen models, infrastructure, and execution logic, and shaping the roadmap for new trading initiatives What we’re looking for 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment, with demonstrated PnL responsibility on linear (Delta1) products across multiple venues Hands-on experience operating automated and semi-automated trading systems under live conditions: monitoring, tuning, and intervening when it matters Strong analytical instincts: you can take a messy dataset of fills and quotes and turn it into a concrete execution improvement A deep, intuitive grasp of market microstructure and the ability to explain why a strategy works, not just that it does Proficiency in Python for analysis, tooling, and interaction with trading systems An ownership mindset:

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Blocktech
📍 Singapore, Singapore• Full-time
2mo ago

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

pythonaigo
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D
2mo ago

Datadog Sales Engineer 는 고객 및 파트너와의 기회를 검증하고 성사시키는 데 도움을 줍니다. 영업 프레젠테이션, 제품 데모, 기술 평가(POC) 지원을 통해 기술 전문 지식을 제공합니다. Sale Engineer 는 제품 팀과 함께 고객, 경쟁사, 파트너의 의견을 바탕으로 기능의 우선순위를 정하는 데 도움을 줍니다. 또한 다양한 팀과 협력하여 고객의 문제를 해결하고, 버그 문제를 에스컬레이션하며, 브랜드 홍보대사로서의 역할도 수행하게 됩니다. 무한한 잠재력을 지닌 친절하고 열정적인 팀에 합류하고 싶은 분들의 많은 지원 바랍니다! Datadog은 사무실 문화를 통해 구축되는 관계와 협업, 창의성을 중시합니다. 우리는 데이터독 직원들이 자신에게 가장 적합한 일과 삶의 조화를 이룰 수 있도록 하이브리드 업무 환경을 운영하고 있습니다. 담당 업무 영업팀과 협력하여 고객에게 전반적인 Datadog 가치 제안, 비전 및 전략을 명확하게 전달 경쟁력 있는 지식, 기술력 및 신뢰를 구축하기 위해 지속적으로 새로운 기술을 학습 잠재 고객을 대상으로 제품 및 기술 프레젠테이션 제공 제품 팀과 직접 소통하여 기능 요청에 대해 협업 고객의 제품 온보딩을 돕고 장애물이 있을 때 지원 사전 판매 수명 주기 동안 다양한 기술적 과제에 대해 창의적으로 생각 자격 요건 DevOps 모니터링 또는 아키텍처 도구에 대한 지식과 경험이 풍부한 분 외부 고객 또는 내부 팀에게 기술 프레젠테이션/데모를 편안하고 자신감 있게 전달 가능한 분 다양한 문제를 창의적으로 해결하고, 매일 새로운 것을 배우는 것을 즐기는 분 Windows 또는 Linux 시스템 관리 경험 DevSecOps 체계를 직접 구축하고 운영해본 경험 우대 모의 해킹이나 신규 취약점 발견 시 개발팀에 설명하고 함께 대응 방안을 도출해본 경험 우대 고객을 직접 만나기 위한 출장 업무에 익숙한 분 Datadog은 모든 계층의 사람들을 소중히 여깁니다. 모든 사람이 입사 첫날에 위의 모든 자격 요건을 충족하지 못할 수도 있습니다. 괜찮습니다. 기술에 대한 열정이 있고 자신의 역량을 키우고 싶다면 지원하실 것을 권장합니다. 혜택 및 성장 : 최우수한 수준의 온보딩 풍성한 글로벌 혜택 사내 네트워킹을 위한 부서 내 멘토 및 버디 프로그램 신규 채용 우리사주(RSU) 및 직원 주식 매입 계획(ESPP) 지속적인 전문성 개발, 제품 교육 및 커리어 경로 제공 포용적인 기업 문화, 커뮤니티 길드 및 포용성 토크에 참여할 수 있습니다. 위에 나열된 혜택 및 성장은 근무 국가 및 데이터독 고용의 성격에 따라 달라질 수 있습니다. #LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employmen

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Everpure
📍 Bengaluru• Full-time
2mo ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE... In this role as an Engineering Manager, you will lead a team of engineers located in Bengaluru, India. You will focus on driving and shaping the direction of our observability software and enabling product engineers to deliver high-quality, reliable software to our customers. You will provide technical leadership and direction, mentor engineers on your team, and collaborate with product, engineering, and cross-functional stakeholders to deliver successful outcomes. The successful candidate must understand the dynamics of global R&D, possess deep knowledge of local culture, and have the ability to champion Pure values and leadership attributes. This role requires the ability to lead and influence multiple stakeholders across cross-functional teams and drive alignment across complex, distributed engineering environments. The team will help build and evolve observability capabilities that provide actionable insights into the health, performance, capacity, and reliability of Pure's products and infrastructure. WHAT YOU'LL NEED TO BRING TO THIS ROLE... 12+ years of combined experience as a software developer and manager 3+ years of technical management experience while staying hands-on 7+ years of hands-on software development experience Strong exposure to one or more of the following areas: distributed systems, systems programming, observability/telemetry, data platforms, or solving prob

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2mo ago

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. Gong’s Cloud Engineering group is the infrastructure backbone of a platform that processes millions of customer interactions every day. We’re looking for a DevSecOps Manager to lead our Israel-based DevSecOps team and own the security posture of Gong’s cloud infrastructure. You’ll inherit a strong, established team of DevOps and DevSecOps engineers with meaningful ownership and a mature security program. This is a hands-on leadership role that combines people management, technical depth, and architectural influence. You’ll define the cloud security roadmap, remain close to the code and systems, and partner with Product Security, R&D, and Cloud Engineering to make security part of the platform by default. You’ll own: The security posture of Gong’s multi-cloud infrastructure across AWS, Azure, and GCP. Identity governance, least-privilege access, cr

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment. Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. Responsibilities End-User Support Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communication & Documentation Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and kno

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Artefact
📍 Montreal• Full-time
2mo ago

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact across the full enterprise value chain. We sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation. We do not just advise — we build, implement, and deliver results our clients can measure. Our teams bring together consultants, data scientists, data engineers, AI engineers, analysts, and digital experts to solve complex business challenges with pragmatic, production-ready solutions. As Artefact continues to grow globally, we are building a team of entrepreneurial data and AI talent who can help clients move beyond experimentation and into scalable, governed, value-generating AI adoption. The Role Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production. You will design and build the interfaces, services, and agentic systems at the heart of our client work, such as conversational applications over enterprise data, multi-step agents that automate business workflows, and the retrieval and data pipelines that support them. You will own your components end to end: the React front end, the Python or Node service behind it, the RAG pipeline feeding it, and the evaluations proving it works. This role combines breadth and depth: the ability to take a feature from front end to cloud deployment, together with strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You will work with direct client exposure, and you will support the professional development of the junior engineers around you. What You'll Do Build Full-Stack AI Applications, End to End You will build AI products across the entire stack, from interface to infrastructure. Develop user-facing interfaces in TypeScript/React and the backend services and APIs behind them in Python or Node. Implement a

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2mo ago

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Are you interested in pioneering and breaking new ground in large-scale financial data processing? Then this role might be for you. Join the Ripple Treasury Reconciliation team where you’ll be solving complex problems and having fun while passionately discussing (and arguing) with your team members! About the Reconciliation team Ripple Treasury Reconciliation platform sits at the heart of how the world's largest financial institutions and enterprises close their books and bring more control to their financial processes. Our vision is to create a completely new user experience with financial tools that have no equals on the market. With users first in mind and driven by technology. As part of Ripple, we're backed by the scale and ambition of a company reshaping global finance, giving our team the resources to modernize the mission-critical product while still moving with the speed and ownership of a smaller engineering group. If you want your code to directly touch how billions of transactions get reconciled every day, this is that kind of role. What we are looking for We are looking for a Staff Infrastructure Architect to own the infrastructure of our growing Reconciliation platform. You'll set the direction, architecture and design for our platform, focusing on performance, stability, security and how to integrate newer technologies. You will also be sett

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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As an Inventory Analyst supporting SpaceXSI data center and supercomputer operations, you will analyze inventory data, drive accuracy, optimize stock levels and material flow, and provide actionable insights for high-value materials and equipment (servers, GPUs, networking gear, power and cooling components, spare parts, and other critical infrastructure). You will support just-in-time operations, identify discrepancies and trends, and help the site scale rapidly while maintaining safety, quality, and control standards. RESPONSIBILITIES: Analyze inventory transactions, levels, usage, and discrepancies to maintain high accuracy and identify trends Perform root-cause analysis on inventory variances and recommend/implement corrective actions Generate reports and dashboards on inventory metrics, turnover, aging, accuracy, and KPIs Support and analyze cycle count programs; reconcile physical vs. system inventory Maintain and improve data quality in ERP/WMS systems; ensure lot/serial and location traceability Collaborate with operations, procurement, commissioning, and finance on inventory planning, forecasting, and material flow Identify and drive process improvements

sqlExcelfinance
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Harvey
📍 San Francisco• Full-time• $188K – $282K/yr
2mo ago

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Senior Software Engineer on the Security Engineering team at Harvey, you'll build and operate the foundational security services every other engineer at Harvey depends on: encryption and key management, public key infrastructure (PKI), secrets management, identity and access, and the tooling that makes the secure path the fast path. You'll design these systems, write the code, run them in production, and own the results. Agentic systems make this harder than it is at a typical SaaS company: when an AI agent acts on a user's behalf against their most sensitive documents, protecting data, credentials, and execution boundaries becomes essential to every workflow. Security at Harvey is an engineering discipline, not a gatekeeper function. We build platforms and librar

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Instacart
📍 BC, Canada• Full-time• Remote• From C$121K/yr
2mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Why this role is on the menu Media is one of Instacart's most powerful growth levers, and the team is actively evolving its operating model to serve multiple lines of business through a mix of in-house and agency-managed media. Without strong operating infrastructure, the media team risks spending its time on coordination and manual workarounds rather than strategy, innovation, and campaign performance. This role exists to design, own, and continuously improve the core mechanics of how the media team plans, executes, and optimizes work. Twelve months from now, the media team will operate with a clear, scalable, and trusted operating system that makes it easy to do great work without reliance on tribal knowledge. What you'll cook up in your first year Media's planning frameworks, templates, and cadences are redesigned and adopted across the team, driving clar

REMOTEaigorust
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Instacart
📍 United States• Full-time• Remote• From $142K/yr
2mo ago

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Why this role is on the menu Media is one of Instacart's most powerful growth levers, and the team is actively evolving its operating model to serve multiple lines of business through a mix of in-house and agency-managed media. Without strong operating infrastructure, the media team risks spending its time on coordination and manual workarounds rather than strategy, innovation, and campaign performance. This role exists to design, own, and continuously improve the core mechanics of how the media team plans, executes, and optimizes work. Twelve months from now, the media team will operate with a clear, scalable, and trusted operating system that makes it easy to do great work without reliance on tribal knowledge. What you'll cook up in your first year Media's planning frameworks, templates, and cadences are redesigned and adopted across the team, driving clar

REMOTEaigorust
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Robinhood
📍 Toronto• Full-time
2mo 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. At Robinhood, Quality Engineering (QE) is a critical function within our broader engineering organization. We serve as the final line of defense for product quality—empowering teams to ship confidently by embedding robust test strategies, running critical end-to-end checks, and maintaining automation systems that scale with our product velocity. Our mission is to uphold a high bar for customer experience, especially during P0 launches, through a mix of technical expertise, test execution, and cross-functional collaboration. As a Senior Quality Engineer, you will support high-impact product launches by designing test strategies, executing manual and automated testing, and partnering with our contractor team on regression test cycles. This role requires someone who thrives in fast-paced environments, cares deeply about the customer experience, and is eager to shape the test infrastructure behind Robinhood’s iOS, Android, and Web apps. This role is based in our Toronto office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office ex

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GitLab
📍 United States• Remote• $126.4K – $213.6K/yr
2mo ago

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation. You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud plat

REMOTEpythonawsazure
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This is an exciting opportunity at Natera (a global leader in precision medicine and genomics testing), to oversee the entire operations of our Extended-Hours Support (ExHS) team, to provide key data analytics services for our lab production operations. As the Director of Operations for ExHS at our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), apply innovative solutions built with the latest information and cloud technologies, directly support the most cutting-edge medical diagnostics and genomics applications, and make real & immediate impact to patients and healthcare providers, by ensuring the ExHS team's timely and accurate data analytics support to production teams, e.g., product management team, lab operations teams, lab director teams, and genetic counselor teams. Important Note: This Director needs to be available during the extended hours (e.g., early morning, late evening, and weekend hours) for emergencies or other similar critical events (note: this position does not require general availability during the extended hours, but only during emergencies or other similar critical events during the extended hours). PRIMARY RESPONSIBILITIES: Team Leadership and Operations Direct and mentor a team of 10+ ExHS data science support engineers and analysts providing coverage across standard and extended operational shifts, for the timely and accurate data analytics support for production teams. Enforce operating procedures for compliance, quality, and efficiency. Measure, report, and continuously improve team operational effectiveness. Lead the team during critical production incidents or emergency events during and outside standard business hours. Technical Execution and Infrastructure Develop and maintain technologies for operational visibility (e.g., via AWS QuickSight or Streamlit). Develop and maintain technologies for operational efficiency

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