Azure Senior Data Cloud Architect Jobs

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: As an Applied Value Engineer, you are pushing the envelope, solving business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization. The work you’ll do: Discovery & AI Solutioning: Translate domain expertise, product knowledge, and specific customer requirements into flawless project execution. You will execute technical discovery, allowing you to prototype and build bespoke, state-of-the-art AI solutions that precisely target nuanced, industry-specific operational pain points. AI Solution Development: Drive the end-to-end execution of business-critical Proof-of-Value (PoV) projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks. Value Selling & Realization: Maintain active technical and advisory involvement with strategic accounts, e

Capco Capco is a leading global technology and management consultancy that excels in driving digital transformation within the financial services and insurance sectors. With an unwavering commitment to delivering practical solutions, we empower our clients to navigate the complexities of today's fast-paced market. Our integrated services span across major financial hubs worldwide, ensuring that we are always close to our clients and their needs. At Capco, we possess not only the expertise but also the vision and passion necessary to lead transformative change. As we embark on an exciting growth journey, this is the perfect moment to join our team. We are expanding geographically, increasing our workforce, and poised to disrupt the consulting landscape across APAC with our entrepreneurial spirit and agile methodologies. About the Role We are thrilled to introduce an opportunity for a talented AI Engineer to join our Singapore team. This role is designed for a technology innovator who thrives on solving complex challenges and is passionate about building AI-driven solutions that transform the Financial Services industry. As an AI Engineer at Capco, you will play a pivotal role in shaping the future of insurance by leveraging cutting-edge AI technologies to deliver intelligent, scalable, and compliant solutions. Your work will enable our clients to unlock new efficiencies, enhance customer experience, and stay ahead in a rapidly evolving digital landscape. If you are excited about applying advanced AI techniques to real-world business problems and driving measurable impact, we want you on our team. Key Responsibilities Build multi-agent workflows to optimize business processes within insurance. Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks. Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such as risk assessment and customer query resolution. Collabor

Summary: We are seeking an experienced L2 DevOps Engineer with over 5+ years of experience to design, implement, and manage infrastructure and deployment pipelines across hybrid environments, including on-premises data centers and cloud platforms. This role requires expertise in AWS, Azure, Kubernetes, IaC, CI/CD, and monitoring tools, along with strong troubleshooting and security practices. You will work closely with development, QA, and operations teams to ensure reliable, scalable, and secure delivery of enterprise-grade applications, while also mentoring junior team members and driving automation initiatives. Responsibilities: Manage and support hybrid infrastructure, including physical data centers and AWS/Azure services. Design and implement Infrastructure-as-Code (IaC) using tools such as Terraform, Pulumi, CloudFormation, and Helm; manage GitOps deployments with ArgoCD/Flux. Configure and maintain Kubernetes clusters (EKS), ensuring scalability and high availability. Build, maintain, and optimize CI/CD pipelines with Jenkins, GitLab CI, Bitbucket, and GitHub. Automate deployments, scaling, and monitoring processes. Set up and maintain observability using Grafana, Prometheus, and other monitoring tools. Perform root cause analysis of performance issues and participate in on-call support. Manage SSL/TLS and code signing certificates and implement best practices for infrastructure security. Work with cross-functional teams to improve infrastructure reliability and delivery processes. Maintain clear documentation and contribute to knowledge sharing and incident post-mortems. Required Skills & Experience: 5+ years of experience in DevOps, Site Reliability Engineering, or related roles. Strong hands-on expertise with AWS and Azure cloud services. Solid experience with Infrastructure-as-Code tools and GitOps. Proven experience with Kubernetes/EKS setup and operations. Proficiency in CI/CD pipelines and GitOps practices. Strong knowledge of monitoring an

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role : Billing powers Elastic's Cloud business. It runs across AWS, GCP, and Azure in over 50 regions. We oversee usage-based metering, consumption billing, and marketplace integrations at global scale. The Billing Core team owns the data layer that makes billing correct, auditable, and automated. We work across two areas: Usage — Collect and process usage and cost data. This data is the foundation of our billing and financial reporting. Engine — Turn hourly usage data into customer invoices and revenue records. We are looking for a Principal Software Engineer to drive technical direction within the Billing Core domain. This is a hands-on role. You will design systems, improve how we operate, and work across teams. You will help our billing services grow in scale, reliability, and developer productivity. You will work closely with Product, SRE, and Cloud Infrastructure teams. What You Will Be Doing : Own complex billing and account management systems that span multiple services and cloud providers. Build large-scale data pipelines for billing data ingestion, transformation, and reconciliation. Improve observability, incident response, and reliability of core billing systems using modern DevOps practices. Shape system architecture for scale and modularity. Guide service design, API structure, and data modelling. Work with SRE and Cloud

Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-

About the Role As a Tech Lead Manager on Chime's Data Intelligence Platform, leading the Data Integration Platform team, you will own the group that builds and operates the platform and infrastructure for the ingress and egress of first-party and third-party data into and out of Chime's ecosystem. Your team will be responsible for building and operating reliable, scalable, and secure integration pipelines and connectors that move data between Chime's internal systems and external partners, vendors, and data providers, powering analytics, experimentation, and AI-driven product experiences across Chime. You'll partner closely with other Data Intelligence Platform squads as well as Product Engineering, Security, and Analytics teams to define integration patterns, data contracts, and SLAs that govern how data enters and leaves Chime, supporting both high-scale batch workloads and latency-sensitive real-time flows. Your leadership will directly impact how Chime ingests, exchanges, and delivers data - enabling trusted, self-serve, AI-ready data for Chimers across the company. Chime’s data integration platform is entering its next phase. As our data ecosystem grows, we have a significant opportunity to simplify and standardize how data moves across streaming, batch, and third-party integrations. You will lead the evolution toward a unified, secure, and reliable data conveyance platform while helping advance Chime’s lakehouse architecture. This is a manager-first, hands-on player-coach role. Your primary responsibility is leading and developing the team - setting direction and priorities, coaching engineers, and owning delivery and operational health. You will also remain technically engaged through high-leverage problems: shaping architecture, guiding designs, reviewing critical changes, and writing production code where it unlocks the team’s progress. In this role, you can expect to Own the strategy and roadmap for Chime's Data Integration Platform, including ingestion pi

Associate Technical Services Engineer II (Cloud) MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are interested in working out of our Dublin office under our hybrid working model (with 3 in-office days). Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need 2- 3 years of customer-facing experience supporting cloud customers Supporting enterprise level customers is a bonus Uncontrollable urge to investigate and solve problems, with advanced diagnostic and troublesho

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Solutions Engineer, you'll serve as a trusted technical voice, guiding customers toward clarity, feasibility, and alignment on the end-to-end solution. Because Vanta is the platform our customers rely on to build and run their GRC programmes, this is a natural next step for GRC professionals, programme managers, auditors, and compliance practitioners who want to apply their domain expertise in a strategic, customer-facing pre-sales role. You’ll be an integral part of the Sales team, working to ensure technical fit and create innovative solutions for our customers. Your attention to detail, focused on customer needs, will ultimately improve retention and overall success. This role will be based from our London office or Dublin office with an office-centric hybrid schedule. The standard in-office days are Tuesday, Wednesday, and Thursday. GRC practitioners are especially encouraged to apply—whether you've managed GRC programmes in-house, audited them as an internal or external auditor, or helped customers meet their GRC programme needs at a GRC vendor, you'll bring exactly the customer empathy and domain fluency this role thrives on. What you’ll do as a Solutions Engineer at Vanta: Serve as a strategic sales partner, owning the technical relationship with prospects and customers. Strategic Discovery and Deal Qualification: Partner with Account Executives to uncover technical, operational, and business pain points, validating use cases and aligning solutions to measurable customer impact and urgency. Secure the Solution Win and Alignment: Validate technical feasibility, drive clarity on success criteria, and guide stakeholder

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Solutions Engineer, you'll serve as a trusted technical voice, guiding customers toward clarity, feasibility, and alignment on the end-to-end solution. Because Vanta is the platform our customers rely on to build and run their GRC programmes, this is a natural next step for GRC professionals, programme managers, auditors, and compliance practitioners who want to apply their domain expertise in a strategic, customer-facing pre-sales role. You’ll be an integral part of the Sales team, working to ensure technical fit and create innovative solutions for our customers. Your attention to detail, focused on customer needs, will ultimately improve retention and overall success. This role will be based from our London office or Dublin office with an office-centric hybrid schedule. The standard in-office days are Tuesday, Wednesday, and Thursday. GRC practitioners are especially encouraged to apply—whether you've managed GRC programmes in-house, audited them as an internal or external auditor, or helped customers meet their GRC programme needs at a GRC vendor, you'll bring exactly the customer empathy and domain fluency this role thrives on. What you’ll do as a Solutions Engineer at Vanta: Serve as a strategic sales partner, owning the technical relationship with prospects and customers. Strategic Discovery and Deal Qualification: Partner with Account Executives to uncover technical, operational, and business pain points, validating use cases and aligning solutions to measurable customer impact and urgency. Secure the Solution Win and Alignment: Validate technical feasibility, drive clarity on success criteria, and guide stakeholder

MongoDB continues to grow incredibly fast. This is the perfect opportunity to have a positive impact at a hyper-growth company. In this high impact role, you will work closely with executives and internal functions including Sales, Sales Operations, Sales Analytics, Deal Desk, Business Systems, Finance and Accounting, and HR to improve and establish processes and systems for our next stage of growth. This role sits within a newly created team which will link our sales strategy and our sales commission. This team will be under the global sales commission umbrella, in our Finance and Accounting organization. In this role, you will be responsible to provide analytical analyses and administrative support for compensation programs. Specifically, you will be responsible for contributing to the planning, design and reporting of sales performance metrics, driving the business forward by contributing to improving our sales productivity. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Shift: 2:00 PM – 10:00 PM Key Requirements Strong interpersonal skills with a hypothesis-driven mindset, open to feedback in a dynamic business environment Excellent communicator, able to simplify complex technical concepts into business terms and KPIs Capable of working independently on analytics projects, deriving actionable insights, and coordinating with stakeholders as needed Bachelor’s degree in a quantitative field (Economics, Finance, Computer Science, Mathematics, etc.); MBA preferred 3–4 years of experience in Consulting, Sales Strategy, or Sales Analytics Proficient in SQL and Python with strong spreadsheet skills to analyze large datasets efficiently Experience with at least one major BI tool (Tableau, Google Data Studio, Looker) Salesforce experience is a plus Responsibilities Analyze large datasets and conduct ad-hoc audits to support business programs Design, develop, and maintain processes to generate insights into sales KPIs and ince

Associate Technical Services Engineer II (Cloud) MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to help our customers to be successful with MongoDB. We are looking to speak to candidates who are interested in working out of our Dublin office under our hybrid working model (with 3 in-office days). Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one’s normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability. Cool things you’ll do You'll be working alongside our largest customers, solving their complex challenges - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on best practices in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - interfacing with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. What you need 2- 3 years of customer-facing experience supporting cloud customers Supporting enterprise level customers is a bonus Uncontrollable urge to investigate and solve problems, with advanced diagnostic and troublesho

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. What you'll do at Jamf: In this role the Systems Development Engineer II at Jamf is responsible for automation and development of our backend infrastructure that powers the Jamf Cloud that our customers rely on to manage Apple devices in their organizations. This includes providing the internal infrastructure that our Software Development Engineers use to build and deploy Jamf products in the Cloud. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter. What you can expect to do in this role : Develop, deploy, and maintain production environments by identifying and applying automation, tools, and techniques such as Infrastructure as Code, Configuration as Code, Serverless, and Containerization Ensure security best practices are identified and integrated into system designs and configuration Assist in evaluating, planning, configuration, and implementation of new software services Develop custom tools and automation through programming and scripting. Support Software Development by maintaining and scaling our Continuous Integration and Continuous Delivery environment as needed Apply Data Lifecycle Management to sensitive data through backups, permissions management, and auditing Participate in an on-call rotation, triaging 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. About the OIN Team The Okta Integration Network (OIN) is the platform that lets Okta customers discover, connect, and manage third-party applications and identity providers — from single sign-on and provisioning to newer, higher-order integration patterns as the ecosystem of connected software (including AI agents) continues to grow. It's core infrastructure: the workflows OIN powers run continuously for a very large share of Okta's customer base. Our team builds and operates all of OIN — from the foundational data model, APIs, and security posture every integration in the network is built on, to the tools partners and customers use to build, test, and ship integrations, to the systems that power what those integrations can actually do once connected. In practice that spans connector metadata and provisioning primitives, partner-facing tooling, and the infrastructure work that keeps a very large, long-lived system fast, secure, and easy to extend as the network grows. We're actively expanding OIN's scope beyond its original SSO-and-provisioning core — including new integration patterns as AI agents and machine-to-machine access become part of the identity landscape, and a lower-friction path for partners to bring new integrations into the network. You'd be joining at a point where the platform's scope is visibly widening, working closely with product, architecture, and design to help figure out what "right" looks like as much as building it. About the Role

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Principal Presales Engineer on Twilio’s New Business Communication team! About the job This position is needed to enable our customers to build the future of communications. The Twilio Principal Presales Engineer role is a critical part of the sales team, responsible for delivering the technical win for customer accounts. They lead the technical pre-sales relationship, propose technical architectures, demonstrate the product, anticipates concerns, and offers creative solutions. They build customer trust in Twilio solutions. Principal Presales Engineers should be comfortable engaging a CEO or sketching out an API flow on a whiteboard with customer software engineers. As a Principal Presales Engineer, you will be fully autonomous. You will be capable of driving the technical side of all but the most complex opportunities independently. Furthermore, you will provide leadership and deal support within the Solutions Engineer

About the role: At Rubrik IT, we are transforming how the enterprise thinks and operates — building a "thinking enterprise" where intelligent, agentic systems reason across our data, tools, and workflows to drive speed, quality, and measurable business impact. As an AI Architect, you will be a pivotal technical leader driving AI Native solutions that make this vision real. You will operate where AI innovation, top-tier engineering, and business outcomes converge, acting as the technical bridge between complex business problems and cutting-edge AI execution. Leveraging our robust Enterprise AI Platform, you will translate ambiguous problems into concrete AI solution designs and ensure their successful deployment and measurable impact. This role is designed for systems-thinkers and orchestrators with an AI-first mindset — leaders who move fluidly between hands-on building AI solutions, and who know how to harness model APIs, data sources, and workflow layers to build practical technology that serves the business. What you'll do: Lead applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs. Contribute to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security. Design and improve retrieval, prompting, tool-calling, and orchestration patterns for internal use cases such as knowledge assistants, workflow automation, and decision support. Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across teams. Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment. Build and deploy AI-enabled internal workflows that connect enterprise systems, data sources, model APIs, and automation layers. Leverage AI-assisted development to accelerate implementation, bringing a strong 'ed