Cloud Native Architect Jobs

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As the SAP Supply Chain Analytics Lead, you will serve as the technical driver behind Everpure’s digital transformation ecosystem, turning complex global operational data into decisive business action. Operating at an Individual Contributor level, you will architect scalable data models and analytics applications that bridge the gap between core SAP S/4HANA transactional systems and modern cloud intelligence platforms. In close collaboration with leaders across eight supply chain sub-departments, your mission is to eliminate operational blind spots, accelerate decision-making, and optimize global planning, procurement, and logistics capabilities. WHAT YOU'LL DO Architect Enterprise Supply Chain Data Models: Determine the optimal methods and procedures to conceptualize, build, and maintain multi-dimensional data models across SAP Analytics Cloud (SAC) and SAP Datasphere, unifying complex demand planning, inventory, warehousing, and transportation workflows into scalable analytics assets. Modernize Cloud Analytics Infrastructure: Lead the transition of legacy data pipelines to modern cloud architectures (such as SAP Datasphere, Databricks, or Snowflake), establishing seamless data flows between SAP S/4HANA, Ariba, and IBP to ensure peak platform reliability and performance. Deliver Strategic BI Products & Dashboards: Design and deploy end-to-end analytical applications, executive scorecards, and operational KPIs

Req: FEQ427R137 Location: Singapore The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skil

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this team? The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North. Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule. As a Staff Software Engineer, you will: Build and scale ML-optimized HPC infrastructure : Deploy and manage Kubernetes-based GPU/TPU superclusters across multiple clouds, ensuring high throughput and low-latency performance for AI workloads. Optimize for AI/ML training : Collaborate with cloud providers to fine-tune infrastructure for cost efficiency, reliability, and performance , leveraging technologies like R

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this team? The GPU Clusters team builds and operates the superclusters that train Cohere’s frontier models. We sit at the intersection of hardware, distributed systems, and AI research. We work with cloud providers, researchers, and other infrastructure teams on problems few companies get to take on. As an Engineering Manager, you’ll lead a team of engineers who care deeply about GPU infrastructure. You’ll set technical direction, grow people, and help the company scale a rapidly growing compute footprint. As an Engineering Manager, you will: Hire, mentor, and grow a team of GPU infrastructure engineers , including performance, career development, and technical guidance on hard infrastructure problems Own the technical roadmap for the fleet: how we deploy, operate, and scale Kubernetes clusters, including workload scheduling, hardware fault detection, and performance Partner with researchers and ML engineers so the training and inference stack works well on new GPU architectures Work with cross-functional stakeholders such as Capacity, Finance, Legal, Security, and other infrastructure teams on planning, cost, compliance, an

We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells. What you will be doing: Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives Install Coder on cloud and on-prem Kubernetes or VM infrastructure Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product Track and report product issues and feature requests using Linear Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation Contribute pull requests to Coder’s documentation What you bring: Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling Strong customer-facing skills that win trust with technical stakeholders Ability to translate technical hurdles into business value in real time Understand agentic AI software development use cases and advocate passionately where appropriate Comfortable leading architecture demos and deep-div

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. Who We Are Verkada is the leading cloud-managed physical security platform, uniting hardware, software, and AI to deliver enterprise-scale security and insights. At the core of our mission is video—powering everything from real-time monitoring to historical playback for tens of thousands of organizations worldwide. The Streaming team owns the full-stack infrastructure powering the video experience for over 1M+.4M Verkada cameras. We take on complex streaming challenges to deliver live and recorded video with unmatched speed, reliability, and security. By continually advancing our technology, we ensure that every frame—whether live or months old—is always available instantly, seamlessly, and securely. About the Role As an Embedded Engineer (Video Streaming) , you will design and implement streaming features that power our 1M+.4M deployed cameras (a

As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises. Through deep technical expertise, relentless problem-solving, and exceptional customer engagement, we educate, guide, and troubleshoot, delivering high-impact solutions that shape the customer experience. Whether through hands-on technical call, in-depth fact findings meeting, or complex investigations, we set the gold standard for technical excellence and customer advocacy. As part of our TEE team, you’ll tackle the most challenging technical problems, collaborate directly with Engineering and Product to refine and evolve our platform, and mentor teams worldwide, elevating the technical bar at every level. As part of the Technical Escalation Engineering (TEE) team, you’ll operate at the heart of Datadog’s ecosystem, working at the intersection of Technical Solutions, Engineering, Product, and our Customers. Every challenge you take on will directly impact the performance, scalability, and success of both our clients and our platform. You’ll be in an environment that moves fast, challenges you daily, and rewards curiosity, ownership, and technical excellence. This is your chance to shape the future of observability and security, driving innovation, mentoring teams, and influencing product direction while witnessing your expertise make an immediate and lasting impact. 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: Become the expert on usage metering, revenue-impacting behavior, and Cloud Cost Management within Technical Solutions, helping customers optimize usage and control spend across all Datado

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia. Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada #BeYourselfAtWork, que valoriza a diversidade e o talento. Com presença global nos principais centros financeiros - temos 40 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Missão: Como Desenvolvedor Backend PLENO, você será responsável por liderar o desenvolvimento e a implementação de soluções robustas e escaláveis para nossos serviços backend, garantindo alta disponibilidade, performance e segurança. Responsabilidades: .● Desenvolver e manter serviços backend utilizando Node.js/TypeScript e Nest.js. ● Trabalhar com bancos de dados relacionais e não-relacionais para garantir a integridade e eficiência dos dados. ● Implementar arquiteturas de microserviços e garantir a comunicação eficiente entre eles. ● Utilizar computação em nuvem, especialmente no Google Cloud Platform (GCP), para hospedar e escalar serviços. ● Implementar programação assíncrona e mensageria utilizando RabbitMQ, Kafka, PubSub, entre outros. ● Utilizar Docker e Kubernetes para orquestração de contêineres e garantir a portabilidade e escalabilidade dos serviços. ● Gerenciar controle de versão utilizando GIT e colaborar em equipe seguindo metodologias ágeis. ● Configurar processos de CI/CD c

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 building the next generation of AI-powered strategic planning and work execution agents through SmartAssist, our intelligent agent platform. You will work closely with Engineering and AI Platform teams, embedded in a team working in a critical area and building toward a mature Agent Development Lifecycle (ADLC). You will architect how we design, build, and operationalize AI-driven solutions that transform work execution at enterprise scale. You Will: Design and build production-grade LLM-powered agents and workflows within Smartsheet, including architecture decisions on system design, data pipelines, and deployment strategies Develop and optimize prompts, RAG pipelines, and agent reasoning patterns; build evaluation frameworks to measure accuracy, hallucination rates, and performance across model versions Implement and manage end-to-end AI systems on cloud infrastructure (AWS, GCP, or Azure), including monitoring, optimization, and incident response Collaborate with Engineering, Product, and cross-functional teams to translate business requirements into technical AI solutions that drive real impact Mentor and guide other engineers on applied ML best practices, modern AI development patterns, and production considerations Establish best practices and standards for AI development, model governance, and responsible AI within the organization Stay current with the rapidly evolving AI/LLM landscape and evaluate emerging tools, frameworks, and techniques for Smartsheet's needs Contribute to a full stack applicati

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is expanding beyond traditional storage to help organizations understand, govern, and activate their data in the AI era. As part of Everpure’s Data Management business, 1touch brings capabilities in data discovery, classification, contextualization, enrichment, and security posture management across SaaS, on-premises, cloud, and hybrid environments. Together, we are building an intelligent data-management platform that helps enterprises turn complex, distributed data into trusted, governed, and AI-ready information. Joining this team means contributing to a high-impact transformation at the intersection of data, cloud, security, and artificial intelligence. Working closely with engineering teams, you will develop automated testing solutions, support mission-critical processing services, and help ensure our platform is secure, reliable, and scalable through modern engineering and quality practices. WHAT YOU'LL DO Design and run quality strategies for the platform's AI-driven features — building evaluation datasets, regression suites, and quality metrics for non-deterministic outputs, and validating accuracy, latency, and cost alongside functional correctness. Create and maintain test automation for our data intelligence platform, verifying applications across unit, integration, and end-to-end testing layers. Collaborate with peers and stakeholders to identify requirements and take solutions from init

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. This role will be based remotely in Germany. As an ideal candidate, you will have: Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience designing with scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account pla

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Role Overview We are seeking a highly skilled and visionary Senior Principal Engineer to lead the architecture, design, and development of our next-generation Enterprise Wireless Access Point (AP) solutions. In this role, you will define the software architecture for state-of-the-art Wi-Fi 6, 6E, and Wi-Fi 7 access points. You will bridge the gap between low-level silicon firmware and high-level cloud management platforms, ensuring our APs deliver enterprise-grade performance, seamless roaming, high security, and cloud-driven scalability. If you have deep expertise in embedded Linux, 802.11 protocols, and cloud-managed networking, we want you on our team. Key Responsibilities Technical Leadership & Architecture End-to-End Architecture: Own the software architecture, design, and delivery of advanced Wi-Fi features from silicon SDK integration up to cloud-managed provisioning systems. Enterprise Wi-Fi Evolution: Design and develop advanced features utilizing Wi-Fi 6, Wi-Fi 6E, and Wi-Fi 7 standards to deliver enterprise-grade performance. Advanced Wireless Feature Design: Architect and implement high-value wireless application features including Wi-Fi Mesh, Neighbor Awareness Networking (NAN),

Position Overview: As a Software Engineer II at Diligent, you’ll take on a hands-on technical role in building secure, scalable, and high-performing serverless microservices using TypeScript on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team of passionate and talented individuals that owns its services end to end—from architecture and implementation to monitoring and continuous improvements. This role is ideal for a mid-level engineer who writes solid code and embraces AI-powered tools to work smarter and faster. You’ll help shape architectural discussions, and scale modern development practices, including responsible use of AI in workflows. Key Responsibilities Design and implement secure, scalable, high-performing, yet simple solutions using AWS Serverless technology. These solutions should strive to be event-driven, highly observable, with infrastructure as code, and tightly leveraging AWS’s ecosystem of services. Optimize your development and delivery experience in order to maximize your team’s productivity and deploy continuously to production. Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and maintain a healthy development flow by adhering to Agile processes and driving iterative enhancements. Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and applying judgment. Required Experience/Skills 3–5 years of professional software engineering experience in an agile, fast-paced environment. AI Tooling & Practices: Uses AI to boost productivity, skilled in prompt engineering, and evaluates AI outputs responsibly (bias, cost, ethics). Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness). Cloud & infrastructure basics: Hands-on with AWS ser

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Professional Services Engineer, you'll own delivery workstreams on federal engagements in FedRAMP-authorized cloud environments, Department of Defense (DoD) Impact Level 4 and 5 enclaves, and fully disconnected networks. You'll install and configure GitLab in classified and air-gapped environments, migrate agencies from legacy tooling, train government technical staff, and advise customers on how GitLab fits their security and compliance posture. You'll work directly with program managers, engagement managers, Federal account teams, and agency stakeholders. You'll also collaborate with GitLab

Principal Consultant (Senior Manager) – Operational Resilience & Cyber Risk Location: Edinburgh or Glasgow (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Build resilience where it matters most across cyber, technology, and third-party risk The Role Capco is seeking experienced Principal Consultants in Operational Resilience and Cyber Risk to join our growing Finance, Risk, Regulatory & Financial Crime (FRRF) capability. In this senior role, you'll lead complex client engagements across financial services and energy, advising on regulatory expectations such as PRA and DORA while driving the design and implementation of robust resilience frameworks. You'll play a key role in shaping client strategy, leading transformation programmes, and contributing to capability growth. You'll also leverage approved AI tools and AI-enabled ways of working to enhance analysis, accelerate insight generation, and improve delivery while applying responsible AI practices and appropriate human oversight. What You'll Do Lead operational resilience assessments, scenario testing, and control implementation programmes, identifying opportunities to leverage AI-enabled workflows and automation to strengthen resilience outcomes. Advise clients on regulatory readiness across PRA, DORA, and other resilience frameworks, translating regulatory expectations into practical transformation strategies and sustainable operating models. Oversee cyber risk, third-party risk, and vendor resilience assessments, using AI-enabled analytics where appropriate to strengthen risk identification, prioritisation, and decision-making. Design and implement governance models, dashboards, Important Business Services (IBS), Impact Tolerance (ITOL), and reporting frameworks, ensuring robust governance, validation, and oversight where AI-assisted tools are utilised. Lead cyber and technology resilience transformation initiatives, including tooling, cloud secu