Cloud Native Senior Architect Jobs

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Software Developer, you will build and own the platform powering financial clarity for businesses from SMEs to Fortune 500 enterprises. You will own full-stack feature delivery across front-end, server-side, and database tiers — leveraging Azure to craft scalable, resilient cloud solutions at the core of a fast-growing SaaS product. You will shape technical direction and mentor fellow engineers within a you-build-it-you-run-it team that holds itself to the highest standards. If you are energized by complex distributed systems and want to make a measurable impact on how the world manages its finances, this is the opportunity for you. WHAT YOU’LL DO: Partner with architects and product managers to design, estimate, and deliver cutting-edge features across the full stack — front-end, server-side, and database tiers Leverage Azure services to build powerful, scalable, and resilient cloud-native solutions Improve software applications and own delivery pipelines and feature flags, ensuring seamless integration and deployment Drive rigorous unit, integration, and non-functional testing — including performance and security — to guarantee production-ready software Use observability tools and logging to diagnose and resolve issues across development, test, and production environments Stay ahead of tech trends, engage with the broader tech commu

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's engineering team is expanding rapidly, and we're looking for a seasoned engineering leader to help us scale our AI-powered creation platform and team. As a Senior Engineering Manager within the Creator Group, you will lead the Studio Assistant team — driving the strategy and execution of our agentic AI system that powers creation for millions of Roblox creators. Your team owns everything end-end from the user experience in Studio, to the infrastructure underneath backend by a single cloud-native architecture: one harness, one tool set, one eval framework. Your work will empower millions of creators to plan, generate, and ship content faster than ever before. At Roblox we move fast and ship code to production daily; your leadership will increase productivity by removing obstacles and keeping processes lean. You will identify and mitigate risk and make sure the technology outpaces our growth. Roblox teams are inclusive, helpful, and have a strong sense of ownership over the things they build. If you have a desire to grow and learn, you will fit right in with our highly-skilled and ever-expanding engineering team. You Are: Battle ready: You have experience defining architecture for AI

Senior Solutions Engineer (Enterprise & Federal) Location: Remote – Eastern Time Zone preferred. Candidates located in the Washington, DC metropolitan area, Northern Virginia, Maryland, or surrounding regions are strongly preferred. Eligibility Requirement: U.S. Citizenship is required due to the nature of RapidFort's work supporting U.S. Department of Defense (DoD), federal agencies, and other regulated customer engagements. About RapidFort RapidFort is redefining software supply chain security. Modern enterprises spend significant time identifying software vulnerabilities. We believe the future isn't finding more vulnerabilities—it's eliminating them automatically. RapidFort's platform transforms vulnerable container images into production-ready, hardened artifacts that dramatically reduce software supply chain risk without requiring application code changes. By combining automated container hardening, vulnerability remediation, runtime intelligence, and compliance automation, we help organizations accelerate secure software delivery while reducing operational complexity. Our customers operate some of the world's most demanding cloud-native environments, where security, compliance, and operational resilience are mission critical. If you're passionate about Kubernetes, containers, cloud security, DevSecOps, and helping customers solve difficult security challenges, we'd love to meet you. The Opportunity RapidFort is seeking an experienced Senior Solutions Engineer to help drive our continued growth across Enterprise and Federal markets. This is a highly technical, customer-facing role where you'll serve as the trusted advisor between our engineering organization and prospective customers. You'll partner closely with Account Executives throughout complex enterprise sales cycles, working directly with CISOs, Security Architects, Platform Engineering teams, DevSecOps leaders, and executive stakeholders to demonstrate how RapidFort transforms software supply chain

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 Backend Engineer in GitLab’s Platform Enablement organization, you will help make GitLab easier to deploy, validate, and operate across environments. This team is centered on two major areas: Cloud Native deployment guidance and ephemeral environments. You’ll help shape GitLab’s next generation of self-managed deployment guidance as Reference Architectures evolve toward a model based on deployment patterns, workload characterization, component requirements, topology guidance, and scaling principles. You’ll also help improve production-like ephemeral environments so teams can validate changes e

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

FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pr

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. What you will be doing? We are looking for a Senior AI Engineer / Technical Consultant to bridge the gap between high-level strategy and technical execution. You will act as a "builder first, consultant second," designing and deploying AI/ML solutions that solve complex business problems for global clients. This role involves end-to-end technical leadership, from initial rapid prototyping (PoCs) to scaling production-ready systems. Key Responsibilities Solution Engineering: Design, implement, and deploy pragmatic AI solutions (ML, LLMs, Generative AI) tailored to specific client business needs. Technical Consulting: Act as a technical advisor to client stakeholders, translating business requirements into scalable technical architectures and guiding them on AI best practices. Prototyping & Production: Build and test Proof of Concepts (PoCs) and transition them into production-ready environments, ensuring security, performance, and maintainability. Architecture & Infrastructure: Design robust AI infrastructure using cloud-native services (AWS, Azure, or GCP) and modern data pipelines. Collaboration: Work within cross-functional teams (Data Scientists, Project Managers, and Strategy Consultants) to ensure the technical feasibility of AI initiatives. Mentorship: Lead project workstreams and

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Core Engineering Team Okta powers authentication and authorization for thousands of organizations worldwide. We make access to applications safe, secure, and seamless for billions of logins worldwide. Within Okta, the Core team builds software and frameworks and works with infrastructure teams to deliver 99.99% uptime for our core authentication and authorization products. The Software Engineering Manager Opportunity Okta's Core Engineering team is responsible for building and evolving shared infrastructure and services that lay the foundation for what other engineering teams build on. We're in charge of common shared services like search, cache, configuration management, frameworks for async job management, and email pipeline, to name a few. We're cloud native, where redundancy, multi-tenancy, scale, resource optimization, and resiliency are first-class citizens. With Okta's mantra of 'Always On!' there's never a dull moment. Our biggest asset is our team of passionate engineers and technically minded managers. What You’ll Be Doing Manage a distributed team, including setting expectations and removing blockers, creating a collaborative working environment, hiring and recruitment, providing coaching and career management discussions Collaborate with managers, architects, product owners, project managers, test partners, security and operations engineers to implement best practices related to resilience Communicate and organize cross-team projects with hi

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! As a Senior Security Operations Engineer you will: Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default designs and features into network, tooling, and processes Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by deploying secure architectures using infrastructure-as-code and reusable code libraries Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamling authentication/authorization to ensure unified access control across the board Deploy and operationalize some of the security services and tools (eg: SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling) Respond to security incidents and harden environments post-incidents. Support control monitoring and remediation for compliance initiatives Gather and analyze security metrics to address security issues with cross-team dependencies Be a problem solver who is empathetic to developer concerns and will employ construc

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION REQUIRES U.S. CITIZENSHIP. Role Description: Defense Unicorns is seeking a Mid to Senior Software Engineer to help drive our transformation from legacy, on-premises software to a modern, cloud-native platform. In this role you will play a key part in designing and building our next-generation scalable data pipelines to ingest, transform, and load data from diverse sources. You'll be joining Defense Unicorns’ US Navy team and be responsible for creating and owning end-to-end project delivery, and advocating best practices in database usage and system architecture. You will work closely with other software engineers, platform engineers, end users, and external stakeholders. Responsibilities: Partner with data architects, analysts, and a wide variety of stakeholders to translate ambiguous product requirements into technical solutions Design, build, and maintain complex ETL/ELT workflows Implement security protocols, including authentication and authorization, Create optimized transformations to clean, enrich, and model data, utilizing cloud-native tools Ensure data quality, integrity, and compliance, maintaining metadata and lineage Help refactor and modernize existing on-prem systems into distributed, cloud-based services Contribute to the design of authentication, identity management, and RBAC/ABAC frameworks Participate in architectural discussions, code reviews, and ongoing technical improvements Drive best practices in microservice design, testing, observability, and CI/CD automation Collaborate closely with partner company engineers and stakeholders to devise the best solutions for our Mission Heroes Collaborate with the Defense Unicorns product team sharing improvements and growth opportunities for future projects Comfortable in an asynchronous, all remote environment Actively participate in communities of practice via Slack and Github Issues Integrate soft

Lead AI Engineer (Senior/Principal Consultant) Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking for a Lead AI Engineer (Senior/Principal Consultant) to join our Technology Delivery Team. You’ll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You’ll Do Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video) Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption What We’re Looking For Bachelor’s degree or higher in Computer Science, AI, or related STEM fields Hands-on experience deploying LLMs and multi-modal models at scale Strong engineering background in Python with proven backend and API development skills Solid understanding of scalable MLOps, observability, and cloud-native AI deployment Excellent communication, problem-solving, and project management skills in agile environments Bonus Points For Experience with agentic frameworks (e.g., LangChain, LlamaIndex) Experience in deep learning frameworks and front-end development Familiarity with Langfuse, Langsmith, or other LLM observability tools Understanding of Model Context Protocol

Position Summary SingleStore engineers build the real-time data platform that enables some of the world's most demanding applications. Our cloud-native database architecture enables high-performance transactional and analytical workloads at scale. As a Senior Software Engineer on the Managed Service (Helios) team, you will build and own release-defining projects at the intersection of distributed systems, cloud infrastructure, networking, and database technology. Helios runs thousands of SingleStore clusters across AWS, Azure, and GCP — autonomously deployed, scaled, secured, and healed on top of Kubernetes — operating at the frontier of multi-cloud, multi-region, multi-tenant, low-latency, always-on systems. You will work across the control plane, the data plane, the operator, networking, storage, and the customer portal, with true end-to-end ownership. Note: This role is open across multiple levels. Final leveling (Senior, Staff, or Principal) will be determined based on experience, scope of impact, and demonstrated technical leadership throughout the interview process. What you’ll do: Lead complex, cross-functional technical initiatives from conception to deployment. Work closely with product managers, designers, customers, and other engineers to ensure we deliver a high-quality experience. Drive the team's engineering standards, championing best practices in system design, code quality, testing, observability, and CI/CD pipelines to ensure we scale reliably. Solve complex, mission-critical system problems with solutions that are scalable, maintainable, and resilient. Mentor and guide more junior team members, coordinate with other stakeholders and contribute to process improvements, raising the technical bar across the team. Communicate complex technical decisions and trade-offs clearly, including their impact on system performance, reliability, and business outcomes. Partner cross-functionally with teams including Sales, Marketing, and G&A to support produc

Datadog is the global leader in observability and security for cloud applications. Our SaaS platform integrates infrastructure monitoring, application performance monitoring, log management, digital experience monitoring, cloud security, and AI-powered observability to help organisations accelerate digital transformation and operate at scale. As organizations across Japan continue to modernize their technology stacks and embrace cloud-native architectures, Datadog is uniquely positioned to help customers achieve greater visibility, reliability, security, and business performance. The Opportunity Following significant investment in Japan by Datadog, we’re now seeking a senior executive to lead the next phase of growth and scale the business rapidly. This executive will be responsible for defining and executing Datadog's strategy in Japan, driving sustainable, predictable revenue growth, strengthening customer and partner relationships, developing high-performing teams, and firmly establishing Datadog as the market leader for Japan. Reporting to senior APJ leadership, the Country Leader will serve as the executive face of Datadog in Japan and will work cross-functionally with Sales, Customer Success, Marketing, Partnerships, Solutions Engineering, Product, and Corporate functions to accelerate market penetration and customer success. At Datadog, we work hard to maintain an excellent culture of trust, high standards, and great outcomes for customers, partners and employees About the Role Datadog is seeking an experienced and respected country executive to serve as Country Manager, Japan. As the most senior leader in the market, you will be responsible for owning Japan’s overall business health across acquisition, usage, retention, ecosystem, culture, and cross-functional execution. The Country Manager owns the country plan and operating cadence, ensuring effective direct management of all three sales segments (Enterprise, Mid Market, Commercial); and cross-

Role Purpose We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own 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 Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on ex

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own 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 Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper