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Cloud Platform Engineer Jobs

5,802 active opportunities · Updated for October 2026

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Explore current cloud platform engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Upwork
📍 Lisbon• €57K – €89K/yr
15 days ago

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn , Facebook , Instagram , TikTok , and X ; and learn more about Lifted at Go-Lifted and follow on LinkedIn . As a Lead Platform Operations Engineer, you’ll build the technical foundation for Upwork’s new international office while helping bring our cloud and Kubernetes infrastructure into one consistent operating model. In your first months, you’ll stand up the office network, take ownership of local technical operations, and act as the on-site technical contact for workplace technology until a dedicated Workplace resource is in place. Over time, your focus shifts to Platform Operations, where you’ll partner with Kubernetes Platform, Reliability Engineering, C

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About Truveta Truveta is the world’s first health provider-led data platform, with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving this vision requires a talented and diverse team with expertise across healthcare, software engineering, cloud infrastructure, data platforms, and artificial intelligence. We are looking for people who are motivated by purposeful work and committed to building technology that can improve healthcare outcomes. This position is based in Hyderabad, India . Who We Need Truveta is expanding its engineering presence in India to solve complex healthcare and technology challenges at global scale. We are seeking a collaborative and experienced engineering leader who can operate effectively across ambiguity, scale, and evolving requirements. The ideal candidate combines strong software and infrastructure fundamentals with the ability to build high-performing teams, influence technical direction, and deliver reliable platforms. You should be comfortable balancing hands-on technical leadership with people management and working with distributed teams across India and the United States. If you are motivated by purposeful work, enjoy building teams and platforms from the ground up, and want to shape how data, AI, and engineering systems are powered internally, Truveta may be the right fit for you. This Opportunity We are seeking a Director Of Engineering (POD Lead) to lead the Platform Services team in India. The Platform Services team will build, manage, and operate the infrastructure that supports engineering teams across India and globally. The team will also own critical backend and platform services, including authentication, authorization, customer and consumer identity and access management, CI/CD, Kubernetes and cloud

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Databricks
📍 United States• $144.6K – $198.9K/yr
1mo ago

CSQ227R165 At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are seeking an experienced Tech Lead to shape the future of platform observability and proactive monitoring. This is a high-impact technical role for someone who thrives at the intersection of platform reliability, incident response, and customer obsession.You will serve as a critical first responder for the Databricks Platform, leading complex investigations, designing observability solutions, and driving systemic improvements that enhance customer experience and platform stability. The successful candidate will be responsible for developing monitoring solutions, alerting mechanisms, and customer-focused incident detection tools. They will also work closely with cross-functional engineering teams to investigate and resolve incidents, perform root cause analyses, and propose solutions to improve the reliability and stability of the Databricks Platform. The impact you will have: Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact. Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences. Design and implement customer-focused alerting pipelines and end-to-end observabil

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Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for an Escalation Engineer to join our team. This is a Hybrid (Mohali) role, reporting to the Escalation Manager in the Customer Success department. In this role, you will play an integral part in solving critical technical challenges faced by client-facing teams, driving customer value, and enhancing operational efficiency. By leveraging data, market insights, and cross-functional collaboration, you will facilitate smooth technical resolutions and deliver exceptional experiences for Zscaler customers. What you’ll do (Role Expectations) Engaging with customers on escalated support issues or important customer situations Participating in a 24x7 Support Operation and 24x7 on-call rotation Working with Engineering and assisting the customer with testing or troubleshooting Reproducing customer issues to verify problems and provide feedback to Engineering and Operations teams Creating entries in our technical

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Snowflake
📍 Menlo Park• Full-time• $236K – $339.3K/yr
3mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. We are seeking an outstanding Staff Software Engineer with a passion for large scale databases and distributed systems to help us take the FDB platform to the next level. A massive new market opportunity is being created at the intersection of Cloud and Data, and the Snowflake Data Cloud is leading the way, all powered by the database engine we are building from the ground up. Key to Snowflake’s Database Engine is our large scale distributed transactional Key-Value store - called FDB - which powers all of Snowflake’s products and services and is rapidly evolving to meet Snowflake’s future needs. FDB runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. The elastic infrastructure FDB runs on is being built from the ground up and is envisioned to be a cloud agnostic, fully automated manageability platform that provides: Autoscaling and auto-balancing of clusters based on utilization, traffic and workloads Auto-provis

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Palantir
📍 United States• Full-time• Hybrid• $110K – $150K/yr
10mo ago

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Platform Intelligence Engineers are the engine behind Palantir’s most strategic and important operations. Engineers are responsible for designing, creating, and maintaining the critical data infrastructure layer that powers decision-making across the business. This infrastructure enables teams to understand product usage, stability trends, cost efficiency, value creation, revenue streams, and more. As an Intelligence Engineer, you will partner with teammates and leaders across the business to address, measure, and evaluate Palantir’s internal strategic and tactical performance. You will keep business outcomes in mind as you develop data pipelines, perform analysis, and work with stakeholders to operationalize insights that propel the business forward. Depending on which team you join, you might analyze cloud utilization, user metrics, stability KPIs, cost optimizations, or even model pricing changes all while ensuring best in class support for our partner teams. You will use Palantir’s platforms, just as Palantir’s customers do, to clean and enrich troves of data from disparate sources, allowing you to unlock key insights, create visualizations and custom applications that help drive day-to-day outcomes. Teams across Palantir will consult with and rely on you to help guide planning and decision-making for a wide range of topics while balancing various sets of priorities and weighing costs. About You You are proficient in Python and have experience in a previous or current job writing code on a day-to-day basis. You understand the challenges of finding the right data to answer a problem, cleaning data, and then distilling findings to executive-leve

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Plaid
📍 Seattle• Full-time• Remote
1mo ago

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Platform Security team (PlatSec) defends Plaid against attackers. We own laptop security, cloud security, AI security, detection and response, and red teaming. Right now we're in growth mode. AI has expanded Plaid's attack surface faster than most security teams can adapt, and we're building the guardrails, identity controls, and detection systems to keep pace without slowing the business down. If you like solving problems nobody's solved yet, this is that team. About the role You'll be Plaid's first line of defense on AI security. You'll review new AI technologies to find security risks before they ship, then design and implement the controls that close them. You'll build the guardrails, identity management, and detection systems that let Plaid use AI aggressively without getting burned. Responsibilities Review AI systems and integrations for security risk before and after deployment. Design and deploy guardrails, sandboxes, and other controls that contain what AI agents can do. Build or implement systems to track and manage AI identities, so we know what access every AI has been granted and can balance risk with agility. Detect and mitigate prompt injection across Plaid's AI

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Snowflake
📍 Bellevue• Full-time• $200K – $287.5K/yr
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving insights and optimization of our cloud spend. AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling. Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis. Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale. Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility. Contribute to open-source and industry best practices in monitoring and distributed systems monitoring. Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management. Partner with Finance, Product and Engineering teams t

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Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. We are looking for a Senior Specialist Sales Engineer to join our team. This is a hybrid role based in Singapore, reporting to the Specialist Solution Director in the Zero Trust Cloud team department. The Senior Specialist Sales Engineer serves as the primary technical lead and strategic advisor, guiding customers across ASEAN to secure workloads and traffic across diverse hybrid and multi-cloud environments by leveraging Zscaler’s Zero Trust Architecture to achieve key business outcomes. The role will also collaborate with field teams at the highest levels, driving internal and customer-facing enablement for Zero Trust Cloud use cases to accelerate Zscaler’s regional GTM strategy while acting as a critical link between the field and Product Management to influence the Product Roadmap. What you’ll do (Role Expectations) Serve as the technical expert for Zero Trust Architecture in Cloud environments, focusing on AWS, Azure,

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PG
4mo ago

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Ready to level up your career? Join PlayStation as a Senior Software Engineer focused on Platform Data Reliability and Automation and help drive innovation at the forefront of interactive entertainment. You’ll be part of a world-class engineering team focused on building seamless, scalable experiences for millions of players around the globe. At PlayStation, we’re known not only for delivering exceptional gaming experiences but also for fostering a top-tier engineering environment centered on innovation, creativity, and technical excellence . We welcome passionate engineers who thrive on solving complex problems and are aligned with our vision of shaping the future of play. Role Overview: We are seeking a Senior Software Engineer (Platform Data Reliability & Automation) to play a critical role in building, automating, and operating scalable data platforms with a strong emphasis on Infrastructure as Code (IaC) and cloud technologies . This role focuses on the reliability and automation of NoSQL, Streaming, and Caching services across AWS and GCP environments. You’ll design robust automation frameworks, ensure high availability, and partner with product and platform teams to deliver resilient, highly available infrastructure supporting billions of transactions a

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OpenAI
📍 San Francisco• Full-time• Remote• $347K – $445K/yr
4mo ago

About the Team The Cloud Agents team builds product infrastructure for long-running agents in the cloud: orchestration, sandboxing and isolation, secure environment connectivity, secrets and identity, observability, reliability, and cost controls. These agents securely connect to diverse developer and customer environments and use tools to accomplish goals. We partner closely with product, research, and infrastructure teams to turn agentic capabilities into dependable platforms for OpenAI products and developers building on OpenAI. About the Role We are looking for an experienced software engineer to help build and scale our cloud agent platform. You will design and operate systems for orchestrating agents at scale. You will work closely with product engineers on ChatGPT, API, and Codex to define the right abstractions and enable them to ship products quickly. Strong backend or infrastructure experience is important; experience with Python, Rust, distributed systems, cloud infrastructure, or product platforms is especially helpful. In this role, you will: Design and scale the orchestration, sandboxing and storage systems that run agentic workloads for Codex, ChatGPT, and the OpenAI API. Partner with product engineers to build a platform that enables them to ship quickly and turn feedback into robust abstractions. Improve reliability, security, performance, and cost efficiency for long-running agents. Deploy services that can operate across different environments and clouds. Your background might look something like: 9+ years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies. Experience leading large-scale backend, platform, or infrastructure projects from ambiguous problem statements to production systems. Proficiency in one or more backend languages such as Python, Go, Rust, TypeScript, or similar, and the ability to move across service, platform, and product boundaries. Strong understanding

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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. We are looking for a Backend Software Engineer (Java), mid to senior level, to join the Metadata Platform DB team. This team owns Postgres end-to-end - from infrastructure and provisioning to the software layer that sits on top of it - and is looking for someone to help maintain and grow that ecosystem. The Team Metadata Platform DB owns Postgres provisioning and infrastructure as code, along with a set of Java (and one Rust) components built around it, including a core client library, a database proxy, a schema management tool, and a fork of an open-source sharding solution. The Tech Stack Cloud Infrastructure: Cloud-native platform, expanding beyond current AWS and Azure dependencies toward provider-agnostic deployment. Core Technologies: Java, Postgres. Infrastructure as Code: Terraform, a Go-based operator. Systems components: Rust (database proxy). Containerization: Kubernetes. DevOps: Kustomize, GitHub CI, ArgoCD/Kargo, Datadog for metrics/logs/APM. The Work You'll Do Take ownership of one or more Java components in the Postgres ecosystem, including newly onboarded ones. Work alongside the infrastructure-as-code side of the stack (Terraform, operators) to understand how your components are provisioned and operated. Improve rel

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Anthropic
📍 Ca New York City• $405K – $485K/yr
2mo ago

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 Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds. As an engineer on Platform Portability, you'll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence. You'll work closely with our cloud partners on capabilities we need that don't exist yet, and with internal Compute, Inference, and Security teams to make "which cloud is this running on?" a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are. What you'll do Our work splits into two workstreams, and we need your help across both. Portable infrastructure. We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud, and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface. You'll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in. Claude on partner clouds. We ship Claude onto third-party cloud platforms, and every launch has to be repeatable. You'l

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Block
📍 United States of America, United States• $217.8K – $326.8K/yr
4mo ago

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role The Platform Security team is responsible for securing Block's cloud, compute, and network infrastructure across multiple business units including Square, Cash, and Afterpay. We discover, track, and enable the business to remediate the most critical security risks across Block's cloud ecosystems (AWS and GCP). We drive the creation of cloud security policy and best practices, measure and aggregate deviations from these policies, and develop capabilities to estimate security risk based on cloud signals and business context. This work drives Block's cloud security strategy and is the lens through which Block measures progress of our cloud security posture over time. We believe that the secure option should be the easiest option for our users. We're looking for a strong Senior Platform Security Engineer with a deep understanding of securing cloud infrastructure and services at scale to help us execute on this vision. You Will Architect and evolve cloud security guardrails. Design and implement SCPs, GCP org policies, and IAM controls that shape how Block uses cloud infrastructure for years to come. Build automation to discover, measure, and contextualize security issues. Develop integrations with CSPM/DSPM tools and internal platforms to surface and prioritize findings. Own the cloud security exception lifecycle. Buil

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Snowflake
📍 Bellevue• Full-time• Remote• $236K – $339.2K/yr
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Engineering Manager, Cloud Efficiency Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. We are looking for an experienced Engineering Manager to lead the Cloud Efficiency engineering team. In this role, you will own the technical vision and execution for building a unified, self-serve cloud efficiency platform along with AI skills and agents that makes resource usage and spend attributable and governable while driving insights and optimization of our cloud spend. AS AN ENGINEERING MANAGER IN CLOUD EFFICIENCY, YOU WILL: Lead and grow our talented team of software engineers, fostering a culture of technical excellence, ownership, and continuous learning. Drive the roadmap for Cloud Efficiency — translating company-level spend objectives into engineering systems: authoritative cost data, resource ownership registry, attribution pipelines, cost and unit economics modeling, observability, governance policies, and optimization workflows — in partnership with Product, Engineering, Finance, and Data Science. Set technical strategy for backend systems, data pipelines, and APIs that measure, attribute and surface cost and usage insights at

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