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Cloud Infrastructure Administrator Sign On Bonus Potential Jobs

2,329 active opportunities · Updated for October 2026

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Explore current cloud infrastructure administrator sign on bonus potential jobs. Use filters to narrow by work mode, employment type, experience and date posted.

W-
16 days ago

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. As a Software Engineer in Global Retail, you'll shape how customers discover, browse, and buy retail products - apparel, beauty, electronics, auto parts and more - across Wolt, DoorDash and Deliveroo. Retail is a large growth opportunity for the business, and our mission is to be the most trusted and magical way to shop the brands and local stores customers love. You'll play a key role in making that real - from product discovery through to shopping experience in the apps millions of people use every day. You’ll join an evolving area where we are replacing and improving parts of the existing consumer apps, building specific retail journeys within large-scale B2C applications. This means working in a complex environment where multiple teams own different parts of the same app, and where strong technical judgment is needed to create consistency, quality and speed across teams. What You’ll Do As a senior engineer in our group, you’ll work your magic in Go or Kotlin (and some Kotlin) helping shape how retail succeed with Wolt. You’ll have opportunities to: Design, build, and scale reliable systems that power retail experiences. Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming. Collabor

sqlpostgresqlmongodb
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W-
16 days ago

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. As a Software Engineer in Global Retail, you'll shape how customers discover, browse, and buy retail products - apparel, beauty, electronics, auto parts and more - across Wolt, DoorDash and Deliveroo. Retail is a large growth opportunity for the business, and our mission is to be the most trusted and magical way to shop the brands and local stores customers love. You'll play a key role in making that real - from product discovery through to shopping experience in the apps millions of people use every day. You’ll join an evolving area where we are replacing and improving parts of the existing consumer apps, building specific retail journeys within large-scale B2C applications. This means working in a complex environment where multiple teams own different parts of the same app, and where strong technical judgment is needed to create consistency, quality and speed across teams. What You’ll Do As an engineer in our group, you’ll work on production-level microservices in Kotlin and Go, helping shape how Retail succeed with Wolt. You’ll have opportunities to: Design, build, and scale reliable systems that power Retail experiences. Work across the full development lifecycle – from business logic and testing to cloud infrastructure and data streaming. Collabo

javasqlpostgresql
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HI
HP IQ
📍 San Francisco• Full-time• $190K – $270K/yr
16 days ago

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Lead Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliability.

pythonjavasql
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HI
HP IQ
📍 San Francisco• Full-time• $149K – $240K/yr
16 days ago

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Senior Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliabilit

pythonjavasql
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E
16 days 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. THE ROLE Join the Portworx team to build and deliver our highest-quality product suite. In this role, you will write clean, scalable code with a strong focus on quality, reliability, and user-centric design. You will directly contribute to building a new SaaS platform that delivers a secure, consistent, and best-in-class experience for customers purchasing and managing Portworx offerings. As a core developer, you will take ownership of designing and implementing critical features across the entire Portworx portfolio. WHAT YOU’LL DO Design & Scale SaaS Microservices: Develop, test, and integrate high-performance microservices and features into the Portworx product suite, ensuring high availability in distributed systems. Drive End-to-End Delivery: Lead software lifecycle activities including architectural design, code reviews, unit/functional testing, documentation, and continuous integration and deployment (CI/CD). Partner Across Teams: Collaborate with product managers, cross-functional engineering peers, and early-adopter customers to transform requirements into production-ready software. Own Product Quality & Iteration: Take full ownership of feature stability by proactively incorporating customer feedback and rapidly resolving issues identified during testing and deployment. Innovate & Experiment: Research emerging technologies and cloud infrastructure tools to push performance boundaries and continuously i

javaawskubernetes
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E
16 days 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. THE ROLE Join the Portworx team to build and deliver our highest-quality product suite. In this role, you will write clean, scalable code with a strong focus on quality, reliability, and user-centric design. You will directly contribute to building a new SaaS platform that delivers a secure, consistent, and best-in-class experience for customers purchasing and managing Portworx offerings. As a core developer, you will take ownership of designing and implementing critical features across the entire Portworx portfolio. WHAT YOU’LL DO Design & Scale SaaS Microservices: Develop, test, and integrate high-performance microservices and features into the Portworx product suite, ensuring high availability in distributed systems. Drive End-to-End Delivery: Lead software lifecycle activities including architectural design, code reviews, unit/functional testing, documentation, and continuous integration and deployment (CI/CD). Partner Across Teams: Collaborate with product managers, cross-functional engineering peers, and early-adopter customers to transform requirements into production-ready software. Own Product Quality & Iteration: Take full ownership of feature stability by proactively incorporating customer feedback and rapidly resolving issues identified during testing and deployment. Innovate & Experiment: Research emerging technologies and cloud infrastructure tools to push performance boundaries and continuously i

javaawskubernetes
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E
16 days 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. THE ROLE As the Engineering Manager for the FlashArray (FA) Foundation Quality Engineering team, you will build and lead a high-performing team of Quality Engineers and Software Test Developers in Bangalore. You will combine people leadership, technical judgment, and execution discipline to drive the quality, test automation, and release readiness of foundational FlashArray capabilities. Working at the intersection of software, hardware, firmware, and cloud infrastructure, you will partner closely with Development, Product Management, Release, and Support teams. Your focus will be translating complex roadmap requirements into modern test strategies, establishing strong shift-left CI/CD signals, and ensuring our products consistently deliver industry-leading reliability to our customers. WHAT YOU’LL DO Build & Lead a High-Performing Team: Hire, mentor, and coach a newly forming team of quality and automation engineers in Bangalore, fostering a culture of technical excellence, continuous learning, and shared ownership. Drive Quality Strategy & Shift-Left Automation: Define and execute the FA Foundation quality roadmap—including risk-based coverage, automated CI/CD pipeline integration, fault injection, and release-readiness criteria across software, firmware, and hardware. Partner Cross-Functionally for Delivery: Collaborate early in the design cycle with Development, Architecture, Product, and Release teams to impro

pythonawsci/cd
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E
16 days 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. THE ROLE As the Engineering Manager for Self-Services Upgrades (SSU) team, you will lead the engineering team responsible for Everpure’s™ core upgrade platform across FlashArray and FlashBlade ecosystems. You will own the strategy and execution that enables safe, zero-downtime software upgrades and mitigations in both connected cloud and air-gapped darksite environments. By bridging distributed backend services, on-box workflows, and cloud infrastructure, your team directly safeguards customer trust and fleet reliability. Through high-visibility cross-geo, cross-business unit, and cross-functional partnerships with Product Management, Release Engineering, Technical Services, and Fleet Insights, you will drive modern upgrade experiences for mission-critical enterprise environments globally. WHAT YOU'LL DO Drive Strategic Upgrade Delivery: Lead end-to-end engineering across backend services, REST APIs, cloud infrastructure, on-box workflows, and release tools to deliver safe, non-disruptive software upgrades for FlashArray and FlashBlade platforms. Lead Cross-Functional Alignment: Collaborate with Product Management, Release Engineering, Technical Services, and Forensics to evaluate technical trade-offs, align roadmaps, and streamline deployment workflows across shared platform stakeholders. Build High-Performing Teams: Hire, onboard, and mentor a high-performing engineering team, cultivating an inclusive culture of t

awsrestagile
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AC
16 days 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. Drives AI-first tooling, SDLC automation, and developer productivity initiatives Required Experience & Skills 6+ years of experience building internal tools or developer platforms Strong CI/CD and automation expertise, Generative AI integration in SDLC Core Backend & Architectural Fundamentals: Deep dive into data structures, algorithms, and microservices/distributed system architecture patterns. While we embrace a language-agnostic mindset, strong proficiency in Java or Python is preferred. Cloud & Infrastructure: Hands-on experience with cloud infrastructure, container frameworks (Docker/Kubernetes), and CI/CD pipelines is a major advantage Modern Engineering Practices (Highly Valued): Daily utilization of AI tools and agentic engineering environments (e.g., Kiro, Claude, Copilot) to accelerate software design, automate background workflows, and optimize developer productivity Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition

pythonjavaaws
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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. This role is open to people who are currently in a product leadership role or someone in an engineering leadership role that is interested to make the switch into product. This role combines experienced product management leadership with the pivotal responsibilities of a Group Product Lead, offering an opportunity to shape the product strategy and the missions of several teams. You will oversee the product management execution working closely with the product managers for several cross-functional software engineering teams around the world. This position reports to the Head of Product for the Platform Engineering Strategic Business Unit, which is responsible for Appian Cloud offering. An excellent candidate will come with a wide range of experience in a product leadership role in the cloud infrastructure domain at a software-as-a-service firm. The product portfolio owned by this position will cover a wide range of cloud native infrastructure and services – from the highly available, resilient, scalable, and efficient infrastructure components on which all Appian Cloud services operate to the the scalable, enterprise-grade managed services that power the backend data persistence and event streams for customer sites in Appian Cloud. You will provide product management leadership for initiatives that deliver efficient and scalable infrastructure, core compute capacity, and managed data planes as multi-tenant services to accelerate the innovations of Engineering teams throughout the department. Your portfolio will include aspects that intersect with AWS accou

awskubernetesrest
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SC
Sigma Computing
📍 San Francisco• Full-time• $240K – $270K/yr
16 days ago

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

pythonsqlaws
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SC
Sigma Computing
📍 San Francisco• Full-time• $240K – $270K/yr
16 days ago

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

pythonsqlaws
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Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq

pythonreactnode.js
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SA
Scale AI
📍 San Francisco• Full-time• From $216K/yr
16 days ago

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

sqlmongodbaws
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SA
Scale AI
📍 San Francisco• Full-time• From $216K/yr
16 days ago

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

sqlmongodbaws
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