Cloud Platform Engineer Jobs

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Offensive Security Engineer. About the job The Staff Engineer acts as a Technical Lead. You don't just find bugs; you design complex attack chains that demonstrate systemic risk. You spend as much time writing custom code and researching new bypasses as you do executing tests. Responsibilities In this role, you’ll: Full-Stack Penetration Testing: Perform manual and automated testing of web applications, APIs, and mobile apps (iOS/Android). Internal/External Network Audits: Conduct network and cloud level assessments with various tooling Vulnerability Validation: Triage and validate reports from automated scanners or bug bounty hunters to eliminate false positives and escalate true positives AI/LLM Probing: Perform initial prompt injection and jailbreak tests on AI prototypes, services, and applications using established checklists (OWASP Top 10 for LLMs). Technical Reporting: Draft high-quality reports that detail

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workfl

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for an Applied AI Engineer, Cyber to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

The Inside Account Executive role focuses exclusively on formulating and executing a sales strategy within MongoDB’s most strategic accounts, closing net new workloads and expanding MongoDB’s footprint. We're looking to speak with candidates based in Toronto for our hybrid working model. What you will be doing Proactively identify, qualify and close a sales pipeline within MongoDB’s most Strategic Accounts Drive product adoption in LOPs/BUs you own in the account, upsells / cross sells by cultivating strategic relationships with executives and multi-level champions, aligning to their key initiatives and long term goals Collaborate cross-functionally with Customer Success, Professional Services, Marketing, Product, and the internal sales ecosystem to drive customer adoption and satisfaction Meet and exceed quarterly quotas on NWLs, NARR, and PS Invest in your self-development, focusing on the skills and attributes that will make you successful in your core role and set you up for future success What you will bring to the table Min. 1 year B2B sales experience in a quota carrying closing role, or Strategic Account-based selling experience Experience selling complex Saas and/or Cloud products/services A proven track record of overachievement through generating your own pipeline and hitting sales targets Energetic, upbeat, entrepreneurial, tenacious teammate. Possess a strong desire to be successful Ability to articulate the business value of complex enterprise technology both in verbal and written forms Passionate about growing your career in the largest and fastest growing market in software (database) through constant development of sales and tech skills What we will bring to the table Opportunity to work with and learn from MongoDB’s most talented and experienced Account Executives. Internal mentor and buddy program cross-departmentally Clear and defined career path to EAE Uncapped commissions’ About MongoDB MongoDB is built for change, empowering our customers and

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Security Software Engineer, Detection & Response, to build the telemetry, logging, and response systems for our Detection & Response team, as a builder, not a queue-triage role. You will build detection and response as software across a multi-cloud fleet of servers, containers, and endpoints, and test where AI and agents can safely take work off responders. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office. What you’ll do: Deploy and operate telemetry at fleet scale with osquery and extended Berkeley Packet Filter (eBPF) sensors across servers, containers, and endpoints, and own performance overhead, staged rollouts, canaries, and rollbacks Build and maintain the logging and security information and event management (SIEM) pipeline behind detection, including ingestion, normalization, enrichment, storage, and cost, with detections written as code with tests, code review, and continuous integration and continuous delivery (CI/CD) Automate response with tooling for host isolation, credential revocation, evidence collection, and enrichment, and test where AI and agents can safely take work off responders Strengthen the corporate security stack, including endpoint detection and response (EDR) and fleet management across Mac, Windows, and Linux, email security, and GitHub controls Join the on-call rotation, work with the managed security operations center (SOC) on escalations, and automate evidence collection for System and Organization Controls 2 (S

Datadog Sales Engineers help qualify and close opportunities with customers and partners. You will provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations (POCs). Sales Engineers have a voice with the product team to help prioritize features based on input from customers, competitors, and partners. Additionally, you will work with various teams to resolve customer concerns, escalate bug issues, and serve as an ambassador for our brand. If you want to join a friendly, passionate team with limitless potential, we’d love to meet you! 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: Partner with the sales team to articulate the overall Datadog value proposition, vision and strategy to customers Continually learn new technology to build competitive knowledge, technical skill, and credibility Deliver product and technical presentations with potential clients Have a direct line of communication with the product team to collaborate on feature requests Help clients onboard the product and assist when they run into roadblocks. Think creatively about a wide variety of technical challenges during the pre-sales life cycle Who You Are: Enjoys a hybrid office culture and spending time in-person at our Boston office Has at least one year of experience in a technical sales and/or post-sales role Has a working knowledge of modern web development, DevOps monitoring, and cloud architecture/technologies Enjoys collaborating and teaming with others Demonstrates strong written and oral communication skills Comfortable and confident in delivering technical presentations/demos Can multi-task, manage time well, and be responsive to others Curious, eager to learn, and persistent in solving problems Able to si

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Governance, Risk and Compliance (GRC) Analyst who wants to build GRC with AI, and you do not need to be an engineer to do it. We encourage and equip you to use AI tooling to build automations for audit evidence and customer security questionnaires, alongside assessing AI tools and vendors and managing audits. This is a hybrid role based in San Francisco, New York City, or London with three days a week in the office. What you’ll do: Assess AI tools and vendors against security, privacy, and compliance requirements, and run company compliance and ethics training Maintain the internal controls behind ISO 27001, System and Organization Controls 2 (SOC 2), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) compliance, and drive remediation to completion with documented progress Use AI tooling to build automations that collect audit evidence, monitor controls, and draft security questionnaire responses, and report on controls maturity scores Manage annual audit deliverables, write treatment plans, and track completion across teams Answer customer compliance inquiries and maintain customer-facing security and compliance documentation What you need: 3+ years supporting the audit lifecycle for SOC 2, ISO 27001, PCI DSS, or HIPAA in a cloud-based environment Applied security or privacy controls to AI systems or AI vendors, such as model access, data handling, or third-party risk review Built security policies and technical controls into the software dev

About the Role We are seeking a skilled GTM Engineer to join our team. In this role, you will architect an AI-native tech stack with seamless integrations and build a cohesive, automated engine to drive measurable revenue outcomes. As a builder and systems thinker, you will play a vital role in automating processes, maintaining data integrity, and turning GTM strategy into scalable systems. Responsibilities Architect the GTM Tech Stack: Build an AI native tech stack with seamless integrations. Centralize Data: Build a cohesive, automated engine that centralizes data in CRM and eventually data warehouse (Salesforce, Hubspot, Snowflake, Clay, Claude Cowork). Own Data Integrity: Build and maintain the data flows, enrichment logic, and sync architecture that keep our systems accurate, deduped, and trustworthy end-to-end. Turn Strategy into Systems: Partner with leadership to translate GTM strategy into automated playbooks, dynamic scoring models, and signal-based workflows that drive measurable revenue outcomes. Lead CPQ System Design: Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows. Optimize Conversions: Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems. Implement Governance: Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity. Improve Deal Velocity: Improve deal velocity by streamlining approvals, leveraging Salesforce CPQ (Revenue Cloud). Integrate CLM Tools: Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows. Automate Bottlenecks: Identify repetitive work across the GTM org - account research, CRM hygiene, post-call follow-ups - and replace it with intelligent automation using APIs, webhooks, and AI agents. Requirements Experience: Have 3–5+ years of experience operatin

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. As a Lead Migrations Forward Deployed Engineer (Migration FDE), you will lead scoping, architecture and direction as the FDE team embeds with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud. You will partner closely with clients to understand their business challenges to design, build, and implement cutting-edge data solutions on Snowflake. Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives. You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake. WHAT YOU WILL BE RESPONSIBLE FOR: Migration Project Execution : You will work with multiple FDE teams that each focus on a specific customer. You’ll set architecture and direction for the team as it works to design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Software Development: All Migration FDE members, leads and otherwise, contribute to our product. We build prototypes, contribute to feature development, fix problems that we find. Doing so helps drive impact on the roadmap and improves individual depth in the product itself. Client Collaborat

About Us YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It's Like to Work Here Ownership is real, not aspirational. An analyst here can own a data product end-to-end—from methodology to client delivery—and directly influence products used by many of the world's largest investment firms. Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here. AI is a core working tool. We're actively rebuilding how analytical work gets done—using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited by that, you'll thrive here. About the Role YipitData's Data Feeds team transforms our proprietary datasets into commercial data products used by many of the world's largest hedge funds, asset managers, and quantitative investors. Our products help investors answer questions about consumer spending, enterprise software adoption, cloud infrastructure, healthcare, and dozens of other markets—using proprietary datasets that clients integrate directly into their investment workflows. The Data Feeds team creates products that fit seamlessly into client investment workflows—whether that's through granular datasets, aggregated metrics, forecasting methodologies, APIs, or entirely new AI-powered product experiences. As an analyst on the team, you'll sit at the intersection of analytics, product, and commercialization. You'll partner closely with

What you’ll do Own and evolve the Quality Management System (QMS) to support a regulated medical device development program, including design controls and DHF maintenance. Establish and enforce requirements traceability: user needs → design requirements → verification/validation artifacts and change control. Define and run the program-level V&V strategy (verification, validation, and test coverage), including test plans, protocols, reports, and acceptance criteria. Drive risk management activities (e.g., DFMEA / PFMEA, hazard analyses) and ensure mitigations are reflected in requirements and verification. Lead document control: reviews, approvals, training, retention, and audit readiness. Partner with engineering to make quality “native” to the dev workflow (automated testing, release gates, software configuration management). Prepare the program for audits and inspections, including hands-on audit leadership. What we’re looking for Senior experience leading quality for complex hardware + software products in a regulated environment. Deep familiarity with design controls, DHF, document control, risk management, and verification planning. Strong systems thinking and the ability to translate ambiguous product intent into testable requirements. Comfortable collaborating directly with multidisciplinary engineering (recon/ML, embedded, mechanical, EE, cloud). Useful experience Regulated product quality leadership (ISO 13485 / 21 CFR 820 or equivalent), including audit readiness and FDA-facing work. eQMS + document control fluency (e.g., Greenlight Guru) that integrates cleanly with modern engineering workflows.

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: We are seeking a strategic and technically fluent Lead, IT Audit to join our Finance team reporting to the Head of Internal Audit. This is a broad, high-impact role spanning both IT SOX compliance and operational IT audits. You will help establish and elevate our technology controls program end to end — owning the IT SOX lifecycle, designing the IT general and application controls framework, embedding AI and automation into how we test and monitor controls, and delivering value-added operational IT and cybersecurity audits that strengthen how the company builds and runs its systems. You will partner with leaders across Engineering, Security, IT, Finance, and the business to ensure sound technology controls are built into how the company operates as we scale. This role is ideal for someone who thinks like a builder, not just an auditor — someone who can translate complex control and security requirements into practical, scalable processes in a fast-moving SaaS environment with modern cloud architecture and complex data flows. This role can be based in either San Francisco or New York City. We work from our offices on M

At Asana, security is foundational to our mission of helping teams work together effortlessly. Our security team protects Asana's employees, users, and customers by proactively addressing threats, ensuring compliance, and fostering a culture of security throughout our product and operations. As the Security Risk Manager, you will own Asana's internal security risk management program end-to-end. This is a senior role for someone who goes beyond frameworks and checklists — you will engineer the quantitative and automated foundations that let Asana continuously measure and make confident decisions about security risk. You'll build the systems and processes that make risk scalable, not just the policies that describe it, and serve as a trusted advisor to senior leadership. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements What you'll achieve Own Asana's security risk management program: Design and continuously mature a quantitative risk framework — including risk scoring methodologies, likelihood and impact modeling, and risk appetite thresholds — that enables consistent, data-driven risk decisions across the organization. Build and maintain a living risk register: Own Asana's central security risk register, developing KRIs, tracking trends over time, and driving accountability for risk treatment and remediation with business and technical owners. Automate risk identification and monitoring: Design and implement automated data pipelines and integrations that continuously surface security risks — pulling signals from vulnerability scanners, cloud security tooling, SIEMs, and third-party risk sources — so Asana's

REQ ID - FEQ327R385 Locations: Arizona, Utah, Southern California Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space. Outcomes You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the account, in close understanding of the strategy. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain the respect of your peers based on your experience, insight, and contributions. Competencies: Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working very large (> $1m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them down a path of success. Technical in big data, data science and cloud. An ability in data-driven business transformation, and driving change with data. Production programming experien

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition Collaborate on benchmarking of models across datasets and operating conditions Train and optimize models using PyTorch, TensorFlow, and/or JAX Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models) Strong Computer Vision fundamentals Fairness & Ethics: Awareness of algorithmic bias and willingness to learn domain-specific fairness practices Strong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code Systems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow Cloud Native: Experience with GPU-based training and deploying ML services on AWS Nice to Have Research Publications in top computer vision venues (CVPR, ICCV, ECCV) Large Scale Search: Familiarity with vector databases and ANN search Synthetic Data: Experience with GANs or diffusion models for data augmentation Mobile