Cloud Native Architect Jobs

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

Accelerate modern data platform delivery by building secure, automated, and scalable DevOps solutions. Join Capco to help transform enterprise data and analytics through cloud-native engineering and continuous delivery. The Role We're seeking a DevOps Engineer with strong Azure cloud and DevOps expertise to support the delivery of enterprise data and analytics platforms. In this role, you'll design and maintain CI/CD pipelines, automate infrastructure and application deployments, and help ensure secure, reliable, and efficient delivery across Azure-based data environments. We're open to contracting or full-time for the right candidate. Working alongside architects, developers, and platform engineers, you'll drive automation, improve operational excellence, and enable faster delivery of high-quality solutions for our clients. What You'll Do Design, implement, and maintain Azure DevOps CI/CD pipelines supporting enterprise data and analytics platforms. Automate the deployment of Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Power BI assets across development, test, and production environments. Configure and manage Azure environments, release pipelines, infrastructure, security controls, secrets management, and identity access. Implement infrastructure as code, monitoring, logging, and deployment automation to improve platform reliability and operational efficiency. Collaborate with cross-functional delivery teams to continuously enhance deployment processes, automation, and DevOps best practices. What We're Looking For Proven experience (5+ years) as a DevOps Engineer supporting Azure cloud environments and enterprise data platforms. Strong expertise designing and maintaining Azure DevOps CI/CD pipelines, release management, and environment configuration. Hands-on experience with Infrastructure as Code using Bicep or ARM Templates, along with PowerShell and/or Python scripting. Experience with Git version control, Azure security,

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

As a Staff Engineer on Datadog's Compute – Disruption and Workload Placement team, you'll help define how our Kubernetes fleet scales to meet the demands of rapidly growing AI and cloud-native workloads. You'll work on the systems that ensure engineering teams have the right compute capacity, in the right region, at the right time across AWS, Google Cloud, and Azure. This is a highly technical, high-impact role where you'll shape the future of capacity orchestration, influence platform architecture, and solve infrastructure challenges that directly support Datadog's continued growth. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Lead the technical direction of capacity management and workload placement for Datadog's Kubernetes platform spanning 100,000+ virtual machines across multiple cloud providers. Design and build systems that optimize how engineering workloads are scheduled and deployed across regions while balancing capacity constraints, reliability, and performance. Partner across infrastructure teams to evolve multi-region and multi-cloud capacity orchestration as Datadog continues to scale. Develop production software in Go to improve Kubernetes platform capabilities, automation, and operational efficiency. Use data and capacity signals to influence infrastructure decisions, forecast growth, and improve workload placement strategies. Who You Are: You have significant experience designing and operating large-scale Kubernetes-based infrastructure or platform systems. You are an experienced software engineer with strong programming skills, ideally in Go or a comparable systems programming language. You have hands-on experience with at least one major cloud provider (AWS, Google Cloud, or Azure) and understand distributed cloud infrastructure. Yo

Senior Backend Engineer – Java Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Power the platforms behind modern finance. Shape cloud-native solutions with Java at their core. The Role We’re seeking a Senior Backend Engineer ( Java ) to join our Technology & Engineering team. You’ll bring expertise in building robust, scalable, cloud-native applications using Java , Spring Boot , and AWS . Working on high-impact platforms for Tier 1 financial institutions, you’ll help shape backend architecture, champion engineering best practices, and contribute to the evolution of modern banking technology. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance software quality while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build cloud-native, microservices -based applications using Java (11+) and Spring Boot . Deliver enterprise-ready solutions on AWS , applying modern engineering practices and AI-enabled development approaches where appropriate to improve delivery efficiency and code quality. Build, maintain, and optimise CI/CD pipelines to support secure, scalable, and reliable software deployments. Develop comprehensive automated tests and promote quality-driven engineering practices across the software development lifecycle. Collaborate with agile teams to solve complex technical challenges, contribute to architecture decisions, and encourage the responsible use of approved AI tools and automation to enhance collaboration and delivery. What We’re Looking For Strong expertise in Java (11, 17, 21+) and Spring Boot , with experience building enterprise-grade backend applications. Deep knowledge of public cloud platforms, preferably AWS , alongside cloud-native, microservices , and event-driven architectures. Proven experience with CI/CD pipelines, SQL and NoS

Scale AI is seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, & Compute) to join our dynamic Public Sector Engineering team. As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts. You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages. You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Own services or systems and define their long-term health goals, while also improving the health of surrounding components. Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: Full Stack Development: Prof

About the Role Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues. Responsibilities Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows. Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services. Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm. Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis. Define observability best practices. Requirements Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure). Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm). Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying. Deep understanding of containerization (Docker) and orchestration (Kubernetes). Knowledge of microservices architectu

NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. Participate in architecture discussions, API design, technical proposals, and code reviews. Build reliable, scalable infrastructure software for next-generation AI workloads. Write clear technical documentation and design proposals. What we need to see B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. Deep understanding of Kubernetes and the cloud-native ecosystem. Experience extending, building, or contributing to Kuberne

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Staff Software Engineer – File Ingestion (Customer-Facing Services) Build the Future of the AI Data Cloud Snowflake’s File Ingestion team owns the core engines behind COPY INTO and Snowpipe — the primary arteries landing customer data into the AI Data Cloud at hundreds of petabytes per quarter. We are expanding our core mission to build next-generation, external-facing ingestion services that directly expose file-ingest capabilities to external platforms, partner ecosystems, and customer applications. As a Staff Software Engineer , you will lead the architectural vision and execution for these mission-critical, customer-facing services. You will operate at the intersection of high-throughput distributed systems, API platform design, and direct customer feature delivery, defining how enterprise data seamlessly flows into Snowflake at global scale. What You’ll Do Drive Technical Vision & Architecture: Define the multi-year architecture and technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP). Deliver Customer-Facing Innovations: Lead the end-to-end execution of enterprise-grade external features, ensuring low-latency data landing, high availability, and seamless ecosystem integration (e.g., S

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is on a mission to mobilize the world's data by changing the old-world paradigm of “bring data to compute” to “bring compute to the data”. Our innovative built-for-the-cloud architecture revolutionized the data warehousing industry with the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions. Our products enable thousands of enterprises to unlock the value of their data with near-unlimited scale, concurrency, and performance. We are looking for a talented, passionate Software Engineering Manager for our Snowpark product to build our elastic, high-scale, high-performance, cloud-native compute platform that makes bringing compute to data effortless and simple. Our mission is to make Snowflake the preferred platform to run all AI, ML, Data Science, and Data Engineering workloads. We are building the next generation of compute platforms to open up Snowflake’s doors to limitless opportunities of discovering structure and unstructured data at scale. You will be part of a highly productive, fast-moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. This team innovates on behalf of our customers to build a fully managed compute platform that enables our customers to leverage

About SingleStore SingleStore delivers a real-time, distributed SQL database that unifies transactional and analytical workloads. Our engineers build cloud-native software for some of the world’s most demanding data-intensive applications, working in a fast-moving environment where teams own their work end to end and partner closely across Product and customer-facing organisations. About the Flow team SingleStore Flow is an enterprise data migration and integration product that helps customers move data into SingleStore reliably and at scale. The team builds the systems that support schema transfer, bulk data loading, real-time Change Data Capture (CDC), large-table migrations, and a native experience in SingleStore Helios. Flow spans Java-based engines, source and destination connectors, database internals, performance and memory management, Helios services and APIs, observability, test automation, Flow AI Agent and signed production release delivery. The product works across heterogeneous database environments, including MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, SAP HANA, Snowflake, Salesforce, and SingleStore-as-a-source. Position Overview We are looking for a Staff Engineer to provide technical leadership for Flow’s end-to-end data path from source systems and CDC through migration engines, APIs, Helios, and the customer experience. This is a hands-on individual contributor role with broad technical influence. You will own major architectural decisions, lead strategically important and release-defining initiatives, solve complex reliability and data-consistency problems, and help the team build durable systems that customers can trust with their most important migrations. You will remain close to the code while raising the technical bar for design, testing, observability, operational excellence, and AI-assisted engineering. The ideal candidate is a systems-minded engineer who enjoys working across product boundaries, can move comfortably between architectu

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testing, observability, deployment, and lifecycle support. Develop an

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team Our team builds and enables scalable, cloud-native software platforms that power critical manufacturing and business operations. We use modern full stack engineering practices and AI-driven technologies to create innovative solutions that improve automation, decision making, and operational efficiency. Position Overview We are seeking an AI-Centric Full Stack Software Engineer to design, build, and support modern software solutions with a strong focus on AI-enabled applications and intelligent automation. This role goes beyond simply using AI coding assistants. You will have strong understanding of Prompt Engineering, Vibe Coding, Rework Rate Reduction and leverage Custom Agents, and integrations built around the Model Context Protocol (MCP). You will apply strong software engineering fundamentals to assemble, integrate, and operationalize AI capabilities into real production systems being accountable for Full-Stack solutions. The goal of this role is to significantly shorten development and feedback cycles by automating routine engineering work, augmenting human decision-making, and embedding intelligence directly into our development workflows and the applications we deliver! Responsibilities Design, develop, test, deploy, and maintain scalable full stack applications and platform services. Own software solutions end-to-end, including system design, architecture, implementation, testing, observability, deployment, and lifecycle support. Deve

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Snowflake is reimagining what a modern Postgres experience can be. The Snowflake Postgres team is building a fully managed, cloud-native Postgres service that delivers the reliability, performance, and scale developers expect that is paired with a data experience that seamlessly ties into Snowflake. As an Engineer Manager, you'll help define the architecture, push the boundaries of Postgres in the cloud, and shape one of Snowflake's most strategic new products AS AN ENGINEERING MANAGER AT SNOWFLAKE YOU WILL: Provide strong technical leadership across both the Postgres dataplane and the orchestration/control plane required to deliver a managed service (HA, upgrades, backups, scaling, automation, and operational safety). Break problems down and build consensus across multiple parties to reach solutions that are scalable, tractable, and timely. Function as both a problem solver and a problem finder by building the roadmap while delivering it. Leverage your experience to balance long-term thinking with m

About Zeta: Zeta is a globally recognized next-gen banking technology company. Our modern platforms enable financial institutions and fintechs to launch extensible and compliant banking asset and liability products spanning cards, loans, and deposits. Our cloud-native and fully API-enabled stack supports processing, issuing, lending, core banking, fraud, loyalty, digital banking, and agentic AI solutions amongst many other capabilities. Zeta has 1700+ employees with over 70% in technology roles across locations in the US, Middle East, and Asia - representing one of the largest and most capable teams ever assembled in banking tech. Globally, customers have issued 30M+ cards on Zeta's platform expected to grow to 60M+ in the coming years. Most recently valued at $2B, Zeta counts Softbank, Mastercard, and Optum amongst its investors. About the Role Zeta solves hard technology problems for financial institutions. We do not offer a single product sold repeatedly, but solutions assembled from our processing, issuing, payments, lending, core, and digital banking platforms to answer a problem a bank has been unable to solve with what it already owns. Banks do not buy platforms. They buy the belief that a platform will survive their hardest workloads,their integration mechanics, and their examiner. You are the person who builds that belief, deep enough that the bank's own architects will defend it in a room you are not in. This is a hands-on individual contributor role with ownership of the sales engineering function for Zeta's banking solutions business in the US. You will run technical discovery with institutions that have twenty years of accumulated systems, design the target architecture and the path to it, defend that design through enterprise architecture, security, and procurement review, and stay on the deal until it signs. Responsibilities <span