Cloud Infrastructure Engineer Jobs

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. The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed Product Manager to lead the product vision and execution for our AI Solutions and Services. In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role for you. AS A SENIOR APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on dev

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. For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. The Migrations team is tasked with a mission of strategic importance: to turn this multi-year roadblock into a streamlined, intelligent, and automated experience. We believe Generative AI is the key. We are building products that don't just move data, but understand and rewrite the logic of entire data applications. We're seeking a structured, technically grounded Senior Product Manager to own several key features and capabilities within this charter. You will bring product insight and clear execution to our GenAI-powered engine, ensuring your projects directly align with Snowflake's higher-level growth goals. AS A SENIOR PRODUCT MANAGER, YOU WILL : Own Feature Direction & Alignment: Provide clarity, conviction, and insight for your owned features. Ensure your roadmap and projects directly align with the broader company strategy and migration goals. Balance Technical Constraints: Deeply understand customer migration needs (such as data types, ETL pipelines, and post-migration validation). Weave technical constraints into product decisions, carefully balancing engineering effort, customer value, and feas

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Ensure the successful onboarding, training, enablement, and certification of partner technical resources; Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams; Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices; Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution; Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities; Collaborate with Datadog’s product management, engineering and techn

Want to be a bswifter? At bswift we’ve been transforming benefits administration since 1996, making it simpler, smarter, and more human. Our state-of-the-art, cloud-based technology and services empower employees to understand, manage, and love their benefits. From downtown Chicago, and remotely across the country, we serve thousands of companies and millions of people nationwide, reducing administrative burdens and freeing HR teams to focus on creating thriving, people-first workplaces. We’re looking for motivated and goal-driven individuals who share our passion for delivering excellence and creating solutions that make a difference. The reward is a fun, flexible and creative environment with ample opportunity for professional and personal growth. If you love the bswift values of pursue excellence, embrace accountability, deliver superior service, and be a great place to work, we want to hear from you! About the Role We are looking for an AI Engineer II to design, build, and deploy cutting-edge generative AI applications , including agentic workflows and intelligent chat experiences , that transform how employees interact with their benefits. This role goes beyond individual contribution—you will own complex AI features end-to-end , influence architecture decisions around LLMs and agent systems , and mentor junior engineers . You will play a key role in bringing secure, scalable, and high-performance AI solutions to production using AWS cloud technologies. You will collaborate closely with software engineers, architects, product managers, and cross-functional teams to deliver seamless and impactful user experiences Key Responsibilities 1. Solution Design & Development Lead the design and development of scalable, secure, and high-performance applications . Architect robust backend systems and integrate them with frontend applications and third-party services. Drive technical decisions and participate in design reviews alongside senio

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 a Specialist Account Executive to join our team. This is a Remote (Germany, with a preference for Frankfurt or Munich) role, reporting to the Regional Director - Zero Trust Branch in the Sales and Go-to-Market department. You will support the DACH region covering majors accounts, acting as the primary specialist to drive revenue growth within Zero Trust Networking suite of products (Cloud/Branch Connector, AirGap, IoT). You will lead the charge in demonstrating the power of cloud transformation to cement our position as a global leader in cloud security. What you’ll do (Role Expectations) Serve as the primary specialist for customers, partners, and internal teams to drive revenue growth across the Zero Trust Branch product portfolio Partner with domain-expert solution engineers to capture customer requirements and craft compelling value propositions that close complex business deals Own the regional

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. 役割 セールスと市場開拓（Go-to-Market）部門の一員としてご活躍いただける、大手顧客担当のアカウント エグゼクティブを募集しています。この職務は日本を拠点とし、リージョナルディレクター直属となります。 世界中のプロフェッショナルと連携しながら、お客様の期待を超える価値提供を実現し、安全でクラウドを前提としたデジタルの未来を推進していくポジションです。 また、Customer Success／Enablement／Architecture各チームと密に協働し、Zscalerが実現するクラウド・トランスフォーメーションの力を提案・体現することで、クラウドセキュリティ分野のグローバルリーダーとしての当社のポジションをさらに強固なものにしていただきます。 業務内容 (役割と期待されること) ・顧客の経営幹部を含む主要な関係者との信頼関係を構築すること。 ・顧客の目標に基づく長期的なアカウント戦略を設計すること。 ・社内関係者との連携による顧客ニーズを反映したアカウント計画を策定すること。 ・ 顧客のビジネスを理解し、具体的な目標を掲げ、Zscalerソリューションを提案し、信頼できるパートナーとしての役割を発揮すること。 求める人物像 (成功のための資質) 不確実さを力に変えられる人 ：正解が見えない状況でも前に進むことが出来る方。歩きながら道をつくることに前向きで、曖昧さを「障害」ではなく、価値あるものを生み出すための素材として捉えられる方。 オーナーシップを持って動ける人 ：ミッションへの熱意が行動力につながり、自ら意思決定し、最後までやり切ることが出来る方。成果に本気で向き合うからこそ誠実にふるまい、戦略の議論から現場の実行まで、必要に応じて自在に行き来できる方。 課題解決を楽しめる人 ：難しい課題ほど熱意をもって取り組める方。課題に集中し、解決までやり抜くことで最大のインパクトを生み出せると知っている方。 信頼をつくるコラボレーター ：自分の成功だけでなく、チームの成功にコミットできる方。明確さと敬意のある率直さを大切にし、フィードバックを「与える・受け取る」を継続できる方。これこそが最高のチームワークであり、信頼を最速で築く方法だ

Location: New York City or San Francisco - 4 days in office About the Role We are looking for a highly technical Senior Security Engineer who thrives on building security capabilities from the ground up. This role is ideal for someone who enjoys solving complex security challenges through engineering, automation, and AI rather than relying solely on commercial tools. You will help build, scale, and continuously evolve the next generation of security capabilities across our cloud-native SaaS platform, with a strong focus on AI security, automation, and scalable security operations. We are looking for engineers who enjoy solving security problems across multiple domains rather than specializing exclusively in a single area. You will join a highly technical Security Engineering team that values innovation, ownership, and building scalable security solutions. This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create security solutions that operate at scale. What You’ll Do Security Engineering Design, build, and maintain security platforms, services, APIs, automation, and internal tooling. Develop solutions that streamline Cloud vulnerability management, Network Security, Detection engineering, Incident response, access governance, and security operations. Use software engineering principles to build detections-as-code, security workflows, internal platforms, and scalable security services that enable the organization to move faster while remaining secure. Leverage AI extensively to accelerate investigations, automate workflows, improve decision making, and reduce operational overhead. AI & LLM Security Design and implement security controls for AI applications, LLM-powered services, agents, and AI development workflows. Build guardrails and security tooling to identify and mitigate risks such as prompt injection, data leakage, model misuse, excessive permissions, insecure plugins, and unsafe AI interacti

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. At the center of the data cloud is the Snowflake Database Engineering team. We are responsible for building the core query engine used to process the massive amounts of diverse data managed by our customers. A core part of the Database Engineering group is the Query Language team which is responsible for designing, developing, and maintaining core SQL features, including advanced analytics, scripting, and the developer experience. We are seeking a Senior Engineering Manager to own and drive the effort to build core database capabilities to serve agentic workloads. You'll set the technical direction, build and grow the team behind it, and shape how the core engine and the SQL language evolve to serve this new class of workload. It's a rare chance to lead a foundational bet at the exact moment the industry is racing to solve it, with the scale, customer base, and platform to make your work matter to millions of queries a day. If you want your fingerprints on how the world's data platforms adapt to the age of AI agents, this is one of the best seats in the industry. AS A SENIOR ENGINEERING MANAGER AT SNOWFLAKE, YOU WILL BE EXPECTED TO: Drive the evolution of core database and SQL capabilities to serve emerging AI and agentic workloads alongside traditional analytics Lead and g

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. MongoDB Engagement Managers are quota-carrying Professional Services Sales roles. Engagement managers utilize customer-facing sales, technical, consulting, and commercial experience to scope, negotiate and close Professional Services opportunities to accelerate and de-risk the adoption of MongoDB by our customers. As an Engagement Manager, you will be a key leader within the PS team and work cross-functionally with the Sales, Professional Services, and Customer Success organizations to drive professional services sales. Here are a few informative blogs about the Engagement Management role: https://www.mongodb.com/blog/post/engagement-management-mongodb-meet-lalitesh-pal https://www.mongodb.com/blog/post/how-engagement-managers-help-customers-succeed This role will be based remotely in Italy. What you’ll do at MongoDB Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies Help transform companies by translating their use-cases, pains, and needs into scoped projects and statements of

MongoDB is seeking a Staff Software Engineer to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB. This engineer will also work on our Atlas Data Federation & Archiving product. Atlas Data Federation & Archiving allows customers to move data from hot to cold storage and run federated queries over that data. We are forming a new Atlas Clusters team in the Dublin area. We are looking to speak to candidates who are based in Dublin and would like a hybrid or in-office working model. What you’ll do Build and design new features for MongoDB Atlas and Atlas Data Federation & Archiving Contribute to and lead complex technical projects Work with stakeholders throughout MongoDB to build our roadmap and product offerings Work with customers and support engineers to fix issues and become part of our on-call rotation Collaborate with team members to develop our codebase, best practices, and design principles Foster an inclusive and respectful work environment according to MongoDB's Core Values We’re looking for someone who Has at least 10+ years of professional software development experience Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc) Has experience with at least one major cloud provider technology (AWS, Azure, GCP) Has led the launch of a new module and maintained it in production Is eager to solve tough problems Has excellent communication skills Is curious, collaborative, and motivated Success Measures In 3 months, you'll have shipped code into production and c

AI Tech Lead – Manager Experience- 8-12 years Job Overview: We are seeking a highly experienced AI Tech Lead to design, develop, and deliver scalable AI-driven applications while leading cross-functional teams. The role involves end-to-end ownership of AI solutions, including architecture design, deployment, and optimization, ensuring alignment with business objectives. The candidate will collaborate with stakeholders, data engineering teams, and product management to build enterprise-grade AI systems leveraging modern cloud and AI technologies. Key Responsibilities / (Person Specifications): Lead implementation and delivery of AI applications across teams. Design end-to-end AI architectures integrating open-source and enterprise tools. Translate business requirements into scalable AI solutions. Define architecture roadmaps and best practices. Build data pipelines, CI/CD, and monitoring systems. Deploy scalable systems using Docker and Kubernetes. Ensure performance, scalability, and security. Mentor teams and drive knowledge sharing. Key Skills / Job Specifications (Mandatory): AI frameworks: LangGraph, AutoGen, CrewAI. Strong Python with TensorFlow, PyTorch, Keras. Knowledge of NLP & Deep Learning (RNN, CNN, LSTM, Transformers). Cloud platforms: AWS / Azure / GCP. Docker, Kubernetes, CI/CD tools. Terraform / CloudFormation (IaC). SQL & NoSQL databases. Distributed systems, REST APIs, GraphQL, microservices.

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 160+ public exchanges globally and thousands of private exchanges 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 a Senior Sales Engineering Manager to join our team. This is a Remote role, reporting to the Sales Engineering Director, Greater Asia in the Solutions Consulting department. In this role, you will lead a high-performing Sales Engineering team to design and present comprehensive technical solutions that drive revenue and customer success. You will collaborate closely with cross-functional leadership, product teams, and account executives to support the entire sales lifecycle and influence product enhancements based on strategic market feedback. What you’ll do (Role Expectations) Partner with Regional Directors, product, and engineering teams to close deals and deliver high-impact strategic solutions for customers and partners Recruit, mentor, and develop a high-performing Sales Engineering team within the geography Collaborate with sales leadership and customers to design and present comprehensive

Datadog Principal Partner Manager - Technology Alliances As a Principal Partner Manager, Global Technology Alliances, you will grow high-priority ISV go-to-market (GTM) partnerships globally in close partnership with the Datadog Product team. In this role, you will be responsible for driving joint GTM initiatives, developing and executing GTM partner plans, and maximizing revenue opportunities through sales motions. This position requires a highly strategic and execution-focused leader with a deep understanding of the ISV ecosystem, cloud technologies, and GTM strategy. What You’ll Do: Own & scale strategic ISV GTM partnerships: lead Datadog’s GTM strategy with the ISV partners, managing key partner alliance and field relationships. Product team alignment: work closely with Datadog Product on their co-build / co-innovation priorities and then own driving revenue for net new solutions, helping them land successfully in the sales field. Build and drive the GTM plan. Work closely with Datadog Channels & Alliances team members globally to drive an effective global but local plan. Drive Revenue Growth: Identify and execute joint business opportunities, including Power of 3 campaigns with reseller/SI partners. Ensure Datadog fully leverages ISV GTM partner programs and GTM funding opportunities. Create new routes to market, including joint product listings on Cloud Marketplaces. Develop Sales Playbooks and messaging with internal Product and Marketing teams. Field & Partner Enablement: Train and support Datadog’s global Channels & Alliances and field sales teams on partnership benefits, co-sell motions, and offerings. Measure & Optimize: track partnership GTM performance using key metrics (pipeline, revenue, incentives), present to leadership regularly, and continuously refine strategy to maximize impact. Who You Are: Experienced in 10+ years of partner-facing business development, strategi

Technical Services operates with a global footprint, maintaining a presence in key cities such as New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Our commitment to exceptional customer satisfaction is underpinned by a 24x7x365 'follow-the-sun' support strategy, executed by dedicated regional teams across the Americas, EMEA, and APAC. We are seeking a visionary leader to join the MongoDB Technical Services organization to oversee regional teams of MongoDB Premium Services Support Engineers. These specialists possess deep expertise in resolving challenges related to core database functionality and troubleshooting complex cloud environments to facilitate high-scale customer success. For this hybrid role, we are specifically interested in meeting candidates located in Palo Alto, CA or San Francisco, CA. Core Responsibilities of the Team Diagnosing and resolving performance issues: Identifying, troubleshooting, and fixing performance-related bottlenecks Advising on design and architecture: Providing technical guidance on architectural design, including replication and global data distribution, to ensure low latency, high availability, and compliance with data sovereignty requirements Serving as a customer advocate: Advising on upcoming roadmap features and articulating strong business cases to drive the swift resolution of critical issues Engaging in global collaboration: Partnering with regional peer teams and sharing account context to anticipate client needs before an event, ensuring a seamless and elevated level of global service Fostering a culture of continuous learning: Growing technical skills through training participation, maintaining industry awareness, and developing specialized internal training to share subject matter expertise more broadly across the team Enhancing case-deflection strategies: Increasing case-deflection numbers by regularly contributing to the knowledge base, distributing te

About the Team & Role: We're building SAGE , Rubrik's Semantic AI Governance Engine, which is the first system designed to monitor, govern, and remediate autonomous AI agents in real time. SAGE powers Rubrik Agent Cloud: enterprises define governance policies in natural language, and SAGE's custom small language models act as judges on every agent action. These models are fast enough to sit in the live request path and accurate enough that customers trust them with allow/block decisions on production traffic. At its core, SAGE is "LLM-as-judge" applied to AI governance, utilizing the same technique most teams use for offline evaluation but productionized for real-time enforcement at enterprise scale. Our first-generation SLM Policy Guard already outperforms the larger frontier models we've benchmarked against on accuracy while running approximately 5x faster on the same workload. We're hiring to push that lead even further. As an Applied ML Engineer on the SAGE team, you'll work end-to-end across the model lifecycle: curating data, training small models, serving them at production latency, and closing the feedback loop with real customer signals. The models you build don't just enforce policies in the live request path; they will also drive Agent Rewind, Rubrik's capability to instantly and precisely undo destructive autonomous-agent actions and restore the affected data to a trusted state. We're a collaborative, applied team that ships models to enterprise customers within weeks, and we're passionate about proving that small, specialized models can outperform frontier LLMs at the problems that matter most for AI safety and governance. Nature of the Specialized Duties ➢ Training, Fine-Tuning, and Distilling Production Small Language Models and Classifiers (25% of time) Owning the full training lifecycle for the SLMs and classifiers in SAGE's real-time enforcement path, including base-model selection, supervised fine-tuning, preference optimization (DPO/RLA