Cloud Native Architect Jobs

FEQ427R185 Note: Location for the role is in Milan (i.e. within commutable distance). As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Italy. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations. The impact you will have: Hire, mentor and grow the pre-sales team in Italy Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture Support increased return on investment of SA involvement in sales cycles Ensure a solution and value-based selling within the field-engineering organization Display an understanding of needs and revenue potential for accounts in the assigned region Engage with key customer executives to build and strengthen strategic partnerships Ensure close alignment with partners and internal services to secure implementation strategies within accounts Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region What we look for: Experience managing a team of successful Big Data, Cloud, or SaaS professionals Experience in consumption based business environments Have experience mentoring and scaling technical teams Success in instituting processes for technical field members to lead efficiency and product focus Ability to partner and collaborate with Sales and other cross-functional leaders Passionate about data and AI market and Cloud software models and being able to deliver a strong POV on the value of Databricks solutions Technical or consulting background either in

About AQR Capital Management AQR is a global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis. This unique combination has made us leaders in alternative and traditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations and sovereign wealth funds, as well as financial advisors. Technology is central to AQR’s success. As a Software Engineer in Portfolio Implementation , you will work on mission-critical systems that turn investment ideas into reality. Partnering closely with researchers and portfolio managers, you will design and build proprietary tools that support quantitative strategy research and systematic investing at scale. Your Role : As a Software Engineer in Portfolio Implementation , you will design, build, and extend systems that sit at the core of AQR’s investment process, including: Portfolio Implementation platforms that consume research outputs, perform constrained optimizations, and generate orders Cloud-based microservices engineered to run reliably and efficiently at scale Participate in architectural design discussions for high-performance, high-volume, highly available systems, gaining experience with trade-offs across performance, flexibility, and maintainability Bespoke technology solutions tailored to specific asset classes and evolving research needs Collaboration with a&nbsp

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Forward Deployed Software Engineer to join a newly-formed team focused on developing advanced Command and Control (C2) Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art, full-stack solutions that combine sensors, effectors, UxVs, and intelligent decision-making systems to enable users to effectively execute and manage a variety of mission profiles that employ autonomous systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to build and deliver solutions that redefine complex military and civilian mission scenarios in the real world. Core Responsibilities Build, test, integrate, and deploy mission-critical full-stack software solutions for C2 of multi-modal autonomous systems Integrate full-stack Autonomy C2 solutions into Palantir platform and with AI and autonomy software solutions such sensor and data fusion services, agentic decision making engines, and robotic control systems "Make things work" on the in the cloud, on-prem, and in hybrid-cloud environments, including tackling challenges in deployment, integration, security, and user experience Partner with multidisciplinary teams, including experts in sensing and fusion, artificial intelligence, systems engineering, user experience, and hardware and robotics experts to deliver well integrated solutions What We Value Proven experience in software development of user-facing full-stack systems, ideally (but not required) experience with developing user interfaces for graphical, textual, and/or ve

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We are seeking a Forward Deployed Software Engineer to join a newly-formed team focused on developing advanced Command and Control (C2) Software for Autonomous Systems for use in operational and tactical missions. This role involves building, integrating, and deploying state-of-the-art, full-stack solutions that combine sensors, effectors, UxVs, and intelligent decision-making systems to enable users to effectively execute and manage a variety of mission profiles that employ autonomous systems. You will work alongside other experts in sensing, artificial intelligence, and systems engineering to build and deliver solutions that redefine complex military and civilian mission scenarios in the real world. Core Responsibilities Build, test, integrate, and deploy mission-critical full-stack software solutions for C2 of multi-modal autonomous systems Integrate full-stack Autonomy C2 solutions into Palantir platform and with AI and autonomy software solutions such sensor and data fusion services, agentic decision making engines, and robotic control systems "Make things work" on the in the cloud, on-prem, and in hybrid-cloud environments, including tackling challenges in deployment, integration, security, and user experience Partner with multidisciplinary teams, including experts in sensing and fusion, artificial intelligence, systems engineering, user experience, and hardware and robotics experts to deliver well integrated solutions What We Value Proven experience in software development of user-facing full-stack systems, ideally (but not required) experience with developing user interfaces for graphical, textual, and/or ve

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The System Software team is responsible for firmware, operating system software, hardware-accelerated algorithms, and core developer frameworks supporting our products. We serve as the glue between our hardware teams and our higher-level software teams, and delight in finding creative solutions to complex, interdisciplinary problems as we bring our product visions to life. As a firmware engineer on our team, you will develop firmware for low-power embedded microcontrollers to coordinate sensors, ensure security and privacy, manage power subsystems, and more. You will also have plenty of opportunity to develop and grow your own management and leadership skills as you coordinate development efforts with vendors, consultants, and manufacturing partners. What You Might Do Design and develop firmware and embedded system architecture for leading-edge ARM-based MCUs in our prototypes and products Collaborate with the EE, RF, Security, Cloud Services, and AI models team to build high-performance, secure, reliable systems Bring up and debug new hardware in the lab and support

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 role? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. You may be a good fit if you have: 5+ years of engineering experience running production infrastructure at a large scale Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters Experience with Kubernetes dev and production coding and support Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving Experienc

SLSQ127R39 Location: Northern Ireland or Scotland, with regular UK&I team collaboration Reports to: Head of Public Sector Enterprise, UK&I Do you want to help solve the public sector’s toughest challenges with Data and AI? That is what we do every day at Databricks. Databricks is looking for a senior-level Enterprise Account Executive to own and grow our Public Sector business across the Republic of Ireland and Scotland. You will inherit an established book of strategic government accounts, with a clear mandate to protect and expand that base while building new relationships and opening net-new opportunities across departments and agencies we do not yet serve in partnership with our growth team. This is a succession role: you will step into relationships and momentum that already exist, building trust quickly with current stakeholders while creating a strategic go-to-market plan for the wider Irish public sector. You will develop a deep understanding of national and departmental government priorities, identify where Data and AI can help solve the country’s most important challenges, and translate those opportunities into measurable customer outcomes and sustainable growth. Working closely with government stakeholders, internal teams, cloud providers, and strategic partners, you will deepen consumption in existing accounts and extend Databricks’ footprint across the Republic of Ireland. The impact you will have Build and execute a strategic, Ireland-wide go-to-market plan that prioritises government agendas, departments, agencies, use cases, partners, and routes to market that can create sustainable growth. Take ownership of an existing portfolio of Irish Government strategic accounts, maintaining continuity with current stakeholders and expanding usage of the Databricks Intelligence Platform. Identify and pursue net-new opportunities across departments and agencies that are not yet engaged with Databricks, building a healthy pipeline alongside yo

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 Solutions Engineering Team We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they will gain by using Okta’s Identity Platform. The Solutions Engineer, Auth0 Opportunity Reporting to the Sr. Manager, Solutions Engineering, Auth0, the Solutions Engineer is a functional business consultant, with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. What you’

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans. You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization , leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI . Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success. The work you’ll do: Lead and define the overall architecture, data, and cloud strategy

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! We are looking for a Senior Offensive Security Engineer who is a "Jack of all trades, Master of some." You don’t need to be a world-class Red Teamer AND a Cloud Architect; rather, you need a solid foundation in offensive security, operational experience in cloud platforms (AWS/GCP) and the maturity to manage our external penetration testing and bug bounty programs. As a leader within our proactive security strategy, you will drive the identification of complex vulnerabilities through expert management of third-party tests and by leading sophisticated, in-depth internal assess

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring. Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention sol

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the str

About us GoCardless, a Mollie company, is a global leader in bank payments. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect, manage and send bank payments through Direct Debit, real-time payments and open banking. With US$130bn+ processed annually across 30+ countries, we handle recurring and one-off payments without the chasing, stress, or expensive fees. Our end-to-end payment platform also features AI-powered solutions to improve payment success and reduce fraud, alongside connections to over 350 platforms businesses use everyday. We are headquartered in the UK, with teams and operations spanning North America, Europe and Asia-Pacific. For more information, please visit www.gocardless.com and follow us on LinkedIn @GoCardless. Mollie is the leading payments and financial services partner for business, rooted in Europe, with global reach. The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you’ll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the str