Cloud Native Architect Jobs

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! With your passion to learn about the cloud, you are excited to help build the Cloud Native management interfaces of an already Cloud Native Database platform. You will join a team of experienced engineers who are defining what it means to be a cloud native database platform, and you will contribute directly to the components and integrations that make it happen. With guidance from senior engineers, you will deepen your knowledge of the Cloud Native ecosystem, including Kubernetes, observability and automation tooling, and help bring Couchbase everywhere it can add value. You will have opportunities to contribute to Open Source Cloud Native projects and grow your presence in those communities. In doing so, you will help Couchbase continue to gather users, deployments and customers in the constantly growing

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a talented and motivated Infrastructure Security Engineer to join our security team. In this role, you will design, implement, and maintain secure cloud and hybrid infrastructure, and ensure the integrity of our cloud-native applications. This role focuses on securing critical infrastructure across multi-cloud and hybrid environments, with work that may span platforms such as SpaceXSI, X Social, X Money and related systems. You’ll operate with an automation-first mindset: building secure foundations, hardening platforms at scale, and partnering closely with engineering teams so security is embedded in how we build and run systems—not bolted on after the fact. RESPONSIBILITIES: Cloud & infrastructure security Design and implement secure cloud architectures across multiple cloud platforms (e.g., AWS, GCP, Azure) Build and secure mission-critical applications in hybrid cloud and on-premises environments Develop and maintain Infrastructure as Code (IaC) templates with embedded security controls Assist with regular security assessments and audits of cloud infrastructure and services Implement and manage cloud security tools and services (e.g., CSPM,

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools. . The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background. As a Sr. Software Engineer, you will be providing technical leadership to create high-quality software by owning low level , design and implementation of services within a product. This role will require excellent communication skills as you will collaborate with Product Management to refine requirements, product architects to propose design changes, and other product owners to drive features to completion with good quality. Key Skill AI first mindset to software development, having experience using genAI during various phases of software development lifecycle from design to code to test using tools like 'cursor' 5-7

A Career with Point72’s Technology Group As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do As a GenAI Security Engineer, you will develop and implement next-generation security controls to protect the firm’s agentic and human-in-the-loop GenAI systems. Specifically, you will: Build and run generative AI (GenAI) security controls for applications and platforms, including guardrails for model usage and API integrations. Secure agent/tool-calling and connector workflows, such as MCP or equivalent, to prevent tool abuse and data exfiltration. Lead AI threat modeling and risk assessments, maintaining threat models for prompt injection, jailbreaks, tool injection, data exfiltration, training data leakage, and supply chain risks, and driving mitigations. Define secure-by-default reference architectures for cloud-native and hybrid GenAI workloads, including network isolation and secrets handling. Develop and continuously improve monitoring and detection for anomalous AI behavior and unsafe outputs. Lead incident response and remediatio

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What You’ll Do Design, develop, and maintain scalable full-stack applications that power core products and user experiences. Build and evolve frontend user interfaces alongside robust backend services and APIs. Develop cloud-native applications using modern frameworks, languages, and cloud platforms. Lead architectural design across the stack, ensuring systems are modular, performant, secure, and maintainable. Implement and manage infrastructure-as-code to provision and operate cloud environments. Collaborate closely with product managers, designers, and other engineers to define requirements and deliver end-to-end solutions. Own the full software development lifecycle—from design and implementation to deployment, monitoring, and maintenance. Conduct code reviews, promote engineering best practices, and mentor fellow engineers. Monitor application performance and reliability across frontend and backend systems, and troubleshoot production issues with effective debugging and root cause analysis. What You Need Bachelor’s, Master’s, or PhD in Computer Science or a related technical field, or equivalent practical experience. 7+ years of professional software engineering experience, with meaningful full-stack development experience. Strong proficiency in at least one backend language (e.g., Python, Java, Go) an

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . As a Senior Staff Software Engineer - Escalations, you will be responsible for fixing product bugs and delivering code changes to the Production part of product reliability, resiliency, stability & sustenance for all Druva SaaS Customers. This role will require excellent communication skills as you will collaborate with Product Management, CloudOps, Development & Customer-Facing Teams to refine requirements, product architects to propose architectural changes, and other product owners to drive features for usability/supportability/quality. Key Skills: 6 -9 years of experience in a combination of Development and Sustenance roles. Extensive hands-on experience in Go/Python on Unix/Linux or Windows platform. Excellent programming skills along with Data structures, Algorithms, and Design Concepts. Strong problem-solving skills and demonstrated ability to articulate and present technical solutions. Strong interpersonal and communication skills, both written and verbal, with the ability to develop and maintain working relationships at all levels, both with customers and internal stakeholders. Experience in ent

Who are we? Artefact is a global leader in data and AI consulting, helping organizations transform data into measurable business impact. We combine deep expertise in data, artificial intelligence and digital transformation to solve complex business challenges and accelerate innovation. With 1,700+ experts across 25+ offices worldwide , Artefact supports leading international companies in designing and deploying cutting-edge data platforms, AI solutions and cloud architectures that create long-term value. At Artefact Casablanca , you'll join one of our fastest-growing hubs, working alongside highly skilled Data Engineers, Data Scientists, Analytics Consultants and Cloud Experts on ambitious international projects. Our culture is built around excellence, collaboration, continuous learning and entrepreneurship. If you are passionate about technology, leadership and delivering business impact through data, we'd love to meet you. Your Role As a Manager Data Engineering , you will play a strategic role in delivering large-scale Data & AI transformation programs while leading and growing high-performing engineering teams. You will combine technical expertise, people leadership and client engagement to build modern, scalable and cloud-native data platforms. Your Responsibilities Lead Data Engineering Projects Lead the design and delivery of modern cloud data platforms. Define scalable architectures aligned with business and technical requirements. Ensure engineering excellence, code quality, security and performance. Drive best practices across Data Engineering, DevOps and MLOps. Manage & Grow Teams Lead, mentor and coach a team of Data Engineers. Support consultants in their technical development and career progression. Foster a collaborative, high-performance and knowledge-sharing culture. Participate in recruitment, onboarding and capability building. Partner with Clients Act as a trusted advisor for clients throughout their data trans

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Designing and implementing robust python testing automation frameworks using BDD (Behave) ETL Testing: Proven experience in testing ETL pipelines, data validation, and ensuring data quality Scripting automated tests and working collaboratively with other engineers in a continuous build environment Familiarity with CI/CD tools such as AWS pipelines, Github actions Understanding of cloud architecture principles preferably AWS and/or GCP Data Testing experience - Ability to understand data requirements and perform comprehensive data testing Understanding of data engineering Excellent PyTest and SQL skills Nice to have: Behave BDD experience We expect you to have some knowledge about best practices in designing and building scalable and performant cloud-native data platforms and be comfortable with testing them. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended teams with the appropriate levels of exper

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Designing and implementing robust python testing automation frameworks using BDD (Behave) ETL Testing: Proven experience in testing ETL pipelines, data validation, and ensuring data quality Scripting automated tests and working collaboratively with other engineers in a continuous build environment Familiarity with CI/CD tools such as AWS pipelines, Github actions Understanding of cloud architecture principles preferably AWS and/or GCP Data Testing experience - Ability to understand data requirements and perform comprehensive data testing Understanding of data engineering Excellent PyTest and SQL skills Nice to have: Behave BDD experience We expect you to have some knowledge about best practices in designing and building scalable and performant cloud-native data platforms and be comfortable with testing them. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended teams with the appropriate levels of exper

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: · Implementing cloud-native data platforms · Engineering scalable and reliable pipelines · Good knowledge of distributed computing with Spark · Understanding of cloud architecture principles and best practices · Hands-on experience in designing, deploying, and managing cloud resources · Excellent python and SQL skills · Agile ways of working · Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform · Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/CD – Automate end-to-end ML workflows We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: · Implementing cloud-native data platforms · Engineering scalable and reliable pipelines · Good knowledge of distributed computing with Spark · Understanding of cloud architecture principles and best practices · Hands-on experience in designing, deploying, and managing cloud resources · Excellent python and SQL skills · Agile ways of working · Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform · Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/CD – Automate end-to-end ML workflows We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbatical

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer on the FinHub - Transfers team within the Platform group, you'll own the architectural direction of the systems that power crypto and fiat fund movements across Coinbase. The Transfers team builds one of the most critical and high-scale distributed financial platforms in the industry, enabling fund movement for Retail, Prime, Exchange, International, and Payments products. You'll make key technical decisions, drive platform reliability and scalability improvements, and lead cross-functional initiatives that directly impact how millions of customers move money on Coinbase. What You'll Do: Own the technical architecture of Transfers' fund movement systems, driving design decisions on distributed system structure, correctness guarantees, and scalability across crypto and fiat rails Lead complex, cross-team engineering initiatives end-to-end, partnering with Payments, Trading, and product engineering teams to deliver new fund movement capabilities and platform improvements Drive the evolution of Transfers' backend infrastructure using modern cloud-native patterns, proactively identifying scaling bottlenecks and architecting solutions before they impact customers Establish engineering standards, code review practices, and architectural patterns that raise the quality bar across the team and reduce operational risk in high-correctness financial

Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member and provider experiences. The Director, Software Engineering (Platform & Tool Development) is a senior technology leader responsible for the engineering, architecture, development, delivery, and support of Humana's Enterprise Quality Engineering (EQE) technology ecosystem, including the Enterprise Quality Engineering Platform (EQE+), AI Workspace, AI-powered engineering tools, quality engineering applications, developer enablement solutions, automation platforms, and enterprise shared services. This leader will oversee multiple engineering teams responsible for designing, developing, modernizing, and operating business-critical platforms and applications that support quality engineering, automation, AI adoption, engineering productivity, and enterprise delivery excellence. The Director will provide both strategic and hands-on technical leadership, ensuring engineering teams deliver highly scalable, secure, cloud-native solutions that meet enterprise reliability, performance, and operational excellence standards. The role requires deep expertise in modern software engineering, cloud platforms, distributed systems, AI-enabled technologies, platform engineering, and application development. The Director will partner closely with Architecture, Product Management, Quality Engineering, DevOps, Security, Data & Analytics, and business leaders to deliver innovative technology solutions that accelerate Humana's digital transformation and engineering effectiveness initiatives. Key Responsibilities Engineering Strategy & Technology Lead

Job Requisition ID # 26WD101603 Position Overview We are seeking an experienced Senior Software Engineer to design, build, and operate resilient, scalable, high-performing services for the Product Access platform, which supports the access experience for millions of Autodesk users worldwide. You will own end-to-end solution design and delivery across the full engineering lifecycle and use spec-driven development and agentic systems to build, operate, and support Product Access in production, including agent-based automation for engineering and operational workflows. This role includes shared production on-call responsibilities as part of end-to-end service ownership. You will report to the Senior Engineering Manager and collaborate closely with Product Managers, Architects, Domain Leads, and cross-functional stakeholders across Product Access and beyond. Responsibilities Design, develop, and operate resilient, scalable, high-performing cloud-native Java microservices and distributed systems on AWS for the Product Access platform Own business features and platform initiatives end to end, from requirement analysis through production support, working with product and engineering partners on design, testing, and operational readiness Enhance system resiliency, reliability, scalability, and security; optimize performance, troubleshoot production issues, and implement engineering best practices across development and delivery pipelines Lead project delivery by organizing scope, estimating effort, establishing timelines, and driving medium-to-large initiatives independently Apply spec-

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 Join the FlashArray team to build high-performance, resilient storage software that powers mission-critical applications worldwide. As a core member of an agile engineering group, you will design and deliver zero-downtime algorithms that directly shape our enterprise storage and public cloud offerings. In this role, you will partner closely with global systems engineers and product teams to translate complex technical challenges into scalable, real-world solutions. Your work will directly impact how thousands of global enterprises manage, protect, and scale their data seamlessly. WHAT YOU’LL DO Design & Deliver Resilient Systems: Architect and implement high-performance algorithms for enterprise storage products, ensuring platform reliability, end-to-end delivery from concept to release, and six-nines availability. Expand Cloud Architecture: Extend core platform capabilities into public cloud environments (such as AWS), driving performance and agility for both traditional IT and cloud-native applications. Drive Problem Solving & Quality: Analyze and resolve complex systems software challenges, optimizing storage internals and contributing to continuous continuous platform upgrades. Collaborate & Mentor: Partner with multidisciplinary engineering peers to review code, refine architecture, and maintain high engineering standards across distributed software projects. WHAT YOU BRING Systems Programming Exp