Cloud Native Architect Jobs

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 As a Solutions Architect on the Field Engineering team, you will be the trusted technical advisor to enterprise customers across pre-sales and post-sales, for teams running AI and web workloads on Vercel. You will qualify technical fit, design future-state architectures, and run evaluations and proofs of concept before the deal, then guide adoption as lead architect after it, bringing in Professional Services, Developer Success, Product, and Engineering when customers need them. This is a hybrid role based in Austin, New York City, or San Francisco, with three days a week in the office. What you'll do Lead technical discovery with Sales, qualify use cases, and design target architectures for AI agents and web applications on Vercel Own proofs of concept (POCs) and pilots end to end: set success criteria, guide implementation, and document outcomes for executive buyers Build and deliver tailored demos, technical presentations, and workshops for developer and executive audiences Act as lead architect post-sale for strategic accounts, guiding onboarding, reference implementations, and migrations, and tuning performance with Core Web Vitals and observability data Run customer security, compliance, and architecture reviews, and feed recurring field gaps back to Product and Engineering What you need 5+ years experience in a customer-facing technical role such as solutions architect, sales engineer, or platform architect, working with web or cloud platforms Hands-on JavaScript and TypeScript experience, including reviewing production appli

Senior Engineering Manager — Lab Execution Platform : Women’s Health About the Role This is your chance to own a platform that lab scientists rely on every single day—and to rebuild it from the ground up. You'll lead maintenance of our off-the-shelf Lab Execution System while driving its transition to a custom, in-house platform. Every improvement you ship makes lab operations faster, makes scientists' lives easier, and ultimately helps improve patient health outcomes. The work is real, the impact is immediate, and the customers are just down the hall. You'll treat Lab Operations and R&D as your primary customers, partnering with them to build an intuitive, efficient, scalable Lab Execution platform they'll love using. You'll lead a small, sharp team in a fast-moving Kanban or Scrum workflow, lean hard into a "do more with less" mindset, and put AI to work multiplying what your engineers can accomplish. You'll stay close to the code while leading with impact and kindness, because the best teams are healthy teams. Key Responsibilities Technical Leadership & Development Own the design, build, and maintenance of both the off-the-shelf and custom Lab Execution platforms, keeping high-throughput lab processes running without a hitch. Build an AI-forward team that reaches for modern tooling to move faster and ship smarter. Stay hands-on—dive into the code and test the system yourself to make it better. Build and scale cloud-based microservices and front-end applications that power real lab workflows. Set the bar for technical excellence: reliability, performance, and a user experience people actually enjoy. Own the CI/CD pipeline and lock in quality with automated testing. Architect infrastructure that scales effortlessly and stays cost-smart. Customer-Focused Collaboration Be the bridge between engineering and lab users, turning real-time feedback into rapid improvements. Build tight relationships with Lab Operations, R&D, and stakeholders so their needs stee

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,700 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients . What you will be doing As a Junior Software Engineer in our London office , your role will encompass: working on engineering projects together with senior team members training and certification to enhance your skills in software engineering, data science, and data architecture. Qualifications Necessary education and experience Education: A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Programming Proficiency: Strong programming skills in Python and a solid understanding of data structures and algorithms. Software Engineering Fundamentals: A demonstrable understanding of version control and repository tools (Git, CI/CD) and a commitment to writing clean, well-documented code. Data Skills: Experience with SQL for querying relational databases. Problem-Solving Skills: An analytical mindset with the ability to break down complex problems into manageable steps. Eagerness to Learn: A genuine passion for technology and a proactive attitude towards self-development and learning new skills, as demonstrated through projects or coursework. Communication & Collaboration: Strong verbal and written communication skills, with the ability to work effectively in a team environment and learn from senior members. Desirable experience Cloud & MLOps Exposure: Basic fam

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients . What you will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees. Supervising and mentoring team members on code, deployment, and best practices. Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles. Qualifications Necessary education and experience Education : A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Project & Team Leadership : Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency in objec

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 Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use. We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives. Responsibilities: Within Data Infra, you may be matched to critical business areas including: Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems. Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics. Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-sc

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's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows. Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. Responsibilities: Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds Define and implement language ecosystem standar

P-1385 We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact You Will Have Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement & optimizat

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Own independent audits and regulatory programs including ISO 42001, PCI DSS, NIST 800-53, FedRAMP, HIPAA, and related frameworks. Drive scope definition, readiness assessments, auditor engagement, remediation planning, and executive level reporting. Develop a strong working understanding of Sierra’s Conversational AI Platform, model providers, and cloud architecture. Partner with Platform and Agent Engineering to design and operationalize controls across multi cloud environments, infrastructure, inference and data platforms. Build a centralized and evolving security controls library mapped to compliance, regulatory and customer requirements. Continuously assess control effectiveness, identify gaps, prioritize risk, and drive remediation that

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 As a Federal DoW/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DoW/IC agencies. You'll leverage your deep understanding of DoW/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DoW/IC market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within DoW/IC agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of DoW/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols Build and maintain relationships with key decision-makers across DoW/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DoW/IC requirements, including classification levels and air-gapped environments Create and maintain sales playbooks specific to DoW/IC use cases, procurement processes, and security requirements T

About Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About You As a Principal Systems Engineer at Gather AI you will be a technical leader, driving the development and integration of cutting-edge autonomous and passive sensing systems, bridging the gap between product vision, complex system requirements, hardware implementation, and real-world performance. What You’ll Do Take full technical ownership of the design, architecture, and integration of the autonomous data gathering systems in logistics and material handling environments. Collaborate with Product Management, Customers, and cross-functional engineering teams (e.g., Software, Hardware, Cloud, Test) to negotiate and finalize system boundaries and interfaces. Serve as a technical leader, mentoring less experienced engineers and setting the standard for systems engineering best practices. Possess specific, in-depth knowledge of hardware implementation and integration challenges for both active robotic components (e.g., actuators, controllers) and passive sensing modalities (e.g., RGB cameras, depth cameras). Drive trade-off analyses, risk assessment, and mitigation planning for critical system elements. Requirements BS, MS, or PhD

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: We’re seeking a Senior Data Engineer to design, build, and operate large-scale, data-intensive platforms in the cloud. In this role, you’ll be responsible for developing reliable data pipelines, scalable data processing systems, and high-availability architectures that support analytics, machine learning, and data science use cases. You’ll work with modern big data technologies and AWS services, contribute hands-on code, lead smaller data initiatives, and mentor junior engineers. This is an ideal role for someone who thrives in complex data environments, values strong engineering fundamentals, and enjoys turning raw data into dependable, production-ready systems. The impact you'll make: Designs and implements sophisticated software systems using either object-oriented or functional programming techniq

MongoDB Engagement Managers are quota-carrying Professional Services sales leaders responsible for discovering customer business initiatives, developing services strategies, scoping and negotiating engagements, and driving Professional Services bookings that accelerate customer outcomes and MongoDB adoption. As a Services Seller Engagement Manager, you will be a key leader within the PS team, work cross-functionally with the Sales, Professional Services, and Customer Success organizations to shape how we will help our customers achieve their MongoDB vision. Top- performing Engagement Managers have a unique ability to develop multi-phased services strategies aligned to customer modernization, migration, AI, and application development initiatives, then align with both executive and technical stakeholders to build business cases, define outcomes, and secure investment in Professional Services engagements. To learn more about the Services Seller Engagement Management role, check out these insightful blog posts: Meet a Current Engagement Manager and How Engagement Managers Help Customers Succeed . This role will be based remotely in San Francisco, CA. What you’ll do at MongoDB Understand customer application portfolios and identify opportunities to design delivery programs related to modernization, cloud adoption, AI enablement, and data platform transformation Lead discovery, solutioning, estimation, and commercial negotiations to convert customer business initiatives into Professional Services bookings Collaborate as part of a larger team alongside cloud partners, strategic partners, and your MongoDB account teams to develop and execute customer success and Professional Services growth strategies Maintain a strong sense of ownership, driving all deals or technical scopings from inception to closure Manage the Professional Services pipeline for bookings and revenue forecasts for your region Expertly articulate the business value of professional services, speaking

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe Terminal helps our users extend their online presence to the physical world. The Terminal team's mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. With Terminal, businesses can unlock in-person payment use cases that are right for their business model, whether it's creating a superb retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event. What you'll do Responsibilities Own complex connectivity investigations end-to-end across merchant networks , Wi-Fi, LAN, LTE/5G, ISPs, routers, firewalls, VPNs, Stripe Terminal hardware, SDKs, cloud-based device management and third-party connectivity partners, leading technical troubleshooting until the true root cause is identified and a sustainable resolution is delivered. Partner cross-functionally with Product, Engineering, Technical Support, Product Support Operations, Solutions Architecture, Sales and third-party connectivity providers to coordinate complex incidents, align stakeholders, remove blockers and drive product, engineering or partner improvements that enhance the Stripe Terminal support experience. Drive operational excellence by creating runbooks, troubleshooting guides, AI-assisted diagnostics, dashboards, support processes, documentation and enablement material that empower the wider Support organization to resolve issues independently and continuo

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is a tech company with a human story to tell. We’re here to empower teams to manage projects, automate workflows, and rapidly build new secure solutions, using simple no-code tools. We’re revolutionaries – so for us changing the way the world works is all in a day’s work. As a global leader in Intelligent Work Management with a market cap of $10bn, we’ve continued to scale our engineering presence internationally. Since expanding into Bulgaria in October 2024, we’ve grown to a team of 75+ engineers. As we continue building this operation, we’re looking for a talented and motivated Senior Software Engineer who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment. Smartsheet runs on a modern SaaS stack hosted on AWS, with infrastructure defined and managed as code using Terraform and strong engineering best practices. Our core platform includes a legacy Java monolith alongside a growing ecosystem of microservices, primarily built in Java and Go (with a small number of Kotlin services). On the front end, product teams that deliver UI experiences use React. You will work remotely from Bulgaria and will be reporting to an engineering leader. You Will: Work on all aspects of software development, including back-end, front-end, cloud infrastructure, and test automation. Drive high standards for internal services and open-source tools, ensuring reliability and scalability. Deploy services and infrastructure changes frequently in an agile environment using full CI/C

We are seeking a Software Engineer to join our growing Gurugram Products & Technology team to develop and expand core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. As a Software Engineer on this new team, you will be responsible for developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Position Expectations Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to implement the first version and future evolution of the service Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow Mentor fellow engineers and assume ownership and accountability of projects Qualifications Strong background in building core components for high scale compute and data distributed systems 3+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-