1,000+ matching jobs for “Cloud Engineer”How results work Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.
+6 locations
Pay posted by employer $77,600–$176,000
DevOps Engineer The Opportunity: Today’s dynamic technology landscape demands constant and rapid innovation. To facilitate …
Added Oct 27, 2026
Pay posted by employer $99,000–$225,000
MLOps Engineer The Opportunity: Are you looking for an opportunity to make a difference and help build a system that will …
Added Oct 27, 2026
· Design, automate and implement continuous security monitoring for SaaS, homegrown applications, cloud and endpoints. · Translate security requirements into measurable configuration baselines and monitoring …
Added Oct 27, 2026
… caching, and asynchronous programming(async/await, Combine, GCD). Familiarity with push notifications and cloud messaging APIs (APNs — Apple Push Notification service, Firebase Cloud Messaging). Conducting thorough code …
Added Oct 27, 2026
Meet the Team: Join our dynamic Solutions Engineer team at Cisco, where you will collaborate with seasoned professionals dedicated to driving technical sales …
Added Oct 27, 2026
2 postings
Level 4 Data Engineer : What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for …
Added Oct 18, 2026
include: As a Lead, Observability Engineer you’ll play a meaningful role in building, scaling, and embedding enterprise‑grade observability across our …
Added Oct 30, 2026
Title : Security Engineer Location : Hyderabad, India Key Responsibilities Own the full platform lifecycle for a portfolio of …
Added Nov 3, 2026
Pay posted by employer $77,600–$176,000
DevSecOps Engineer The Opportunity: Modern engineering teams rely on secure, automated delivery pipelines and cloud-hosted …
Added Oct 28, 2026
Your Role As a Forward Deployed Engineer (FDE) with a Platform Engineering focus (Band 8), you own end-to-end delivery for cloud platform and …
Added Oct 27, 2026
Storage Engineer (NetApp) (Hybrid) Due to the nature of the work and the customers we support, the successful candidate must …
Added Nov 3, 2026
… improving our services and encouraging their adoption within Workday's infrastructure both in our private cloud and public cloud. As a member of this team you will design and build new capabilities from inception to …
Added Oct 27, 2026
… the software division, with a specific focus on innovation, Artificial Intelligence, Internet-of-Things and Cloud services. We are a boutique team of Engineers (Gdansk, Madrid, Budapest, Frankfurt) that is reporting to …
Added Nov 5, 2026
… and every system relies on a foundation of robust, seamless, and secure technology. As an Infrastructure Engineer based at The Blender , our modern manufacturing site in Rotterdam, you will bring this core technology to …
Added Oct 27, 2026
Pay posted by employer $77,600–$176,000
Platform Engineer The Opportunity: As a Platform Engineer, you’ll help build and operate the foundational infrastructure …
Added Oct 27, 2026
… space and provide critical skills required for the development of cutting-edge products. The DevSecOps Engineer is responsible for designing, automating, and maintaining secure, scalable, and resilient infrastructure …
Added Oct 27, 2026
HIG
Hartford Insurance Group +3 locations
Pay posted by employer $92,800–$139,200
Software Engineer - IE08DE We’re determined to make a difference and are proud to be an insurance company that goes well …
Added Nov 3, 2026
As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of …
Added Oct 27, 2026
… ultimately enhancing operational efficiency and data-driven decision-making at scale Your Impact As a Data Engineer , you will play a critical role, driving end to end solutions in alignment with AI ready Data Architecture …
Added Oct 27, 2026
… Hudi, Parquet, Avro, ORC Workflow & Orchestration - Apache Airflow, Luigi, Prefect, or Databricks Workflows Cloud Platforms - AWS (EMR, Glue, S3, Redshift), Azure (Synapse, ADLS, HDInsight), or GCP (Dataproc, BigQuery, …
Added Nov 3, 2026
Minimum Qualifications · employer excerpt Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. 8+ years of progressive experience in data engineering, with a proven track record in architecting and leading cloud data warehousing and modern data platform implementations. 4+ years of experience leading or architecting AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP. Expert-level proficiency and architectural leadership with the Snowflake Data Cloud, encompassing its advanced features, security model, and operational best practices. Expert-level proficiency and strategic application of dbt (Data Build Tool) for designing, developing, and maintaining complex data models, including automated testing and CI/CD integration. 2 more in the full description below.
About this opportunity Original employer description Meet the Team
Join Cisco's Commerce Intelligence Data & Analytics team, a strategic group at the forefront of delivering seamless intelligence, advanced analytics, and cutting-edge agentic experiences across our global business operations. Our mission is to architect and build a scalable, unified, and AI-ready data foundation that not only drives high-impact business decisions but also enables automated actions at an enterprise level. We achieve this by blending innovation, deep process knowledge, technical expertise, and a relentless focus on business impact, ultimately enhancing operational efficiency and data-driven decision-making at scale Your Impact
As a Data Engineer, you will play a critical role, driving end to end solutions in alignment with AI ready Data Architecture vision. You will lead projects with deep understanding of complex operational processes, explore diverse source systems, and analyze intricate data platforms to design and implement robust, scalable data and agentic solutions that address critical commerce operational needs. Your expertise will be pivotal in designing, building solutions for long-term maintainability of our robust data ecosystem, enabling advanced analytical capabilities, AI, and agentic solutions by collaborating with extended team across various time zones. You will be responsible for end-to-end ETL/ELT pipeline development for both structured and unstructured data, ensuring optimal data threading and transformation within our Golden layer. A key aspect of your role will be collaborating extensively with team at onsite, business functions and other engineering teams to architect and own a reusable semantic layer, strategically powering consumption across AI, agentic solutions, dashboards, and various enterprise applications. You will also mentor junior engineers and champion best practices across the team. Responsibilities Lead complex exploratory data analysis initiatives to identify strategic trends and patterns within structured and unstructured datasets, informing architectural decisions. Drive the translation of highly complex business requirements into strategic, scalable, and resilient data solutions, integrating insights from diverse non-ERP sources with our Enterprise Data Warehouse (EDW). Architect, design, and oversee the development and optimization of highly scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud, ensuring performance and reliability. Define standards for, and oversee the development and maintenance of, high-quality, analytics-ready data models using dbt, emphasizing modular design, reusability, rigorous testing, and CI/CD integration. Lead the design and implementation of a reusable semantic layer that adheres to enterprise architectural standards and supports diverse, high-volume consumption patterns (AI, agentic solutions, dashboards). Drive the integration of Snowflake Cortex and other AI/LLM capabilities directly into data pipelines, enabling advanced analytics and intelligent automation. Lead the design and development of advanced data consumption layers, including sophisticated dashboards, reports, conversational analytics, and agentic solutions. Applies working knowledge of databases, relational databases, cloud services, and scripting languages Contributes to data quality and compliance, including cleansing and scrubbing of data, data integrations and data quality framework Establish and champion best practices for data quality, observability, lineage, governance, and access control across our AI-ready data architecture, ensuring data trust and compliance. Serve as a technical liaison, collaborating strategically with data architects, analysts, and business stakeholders to define and execute long-term data strategies and roadmaps. Work in partnership and guidance from the core team at onsite Drive the establishment and continuous improvement of technical governance, CI/CD best practices, and rigorous version control standards to ensure the integrity, security, and scalability of our modern data stack. Experience with cloud-native services for data processing and orchestration (e.g., AWS Glue, Lambda, Step Functions, GCP Dataflow, Cloud Composer). Demonstrated experience applying Agile, Scrum, or Kanban methodologies within a data engineering environment. A self-starter with proven expertise to deliver outcomes with minimal supervision Provide technical guidance and mentorship to junior data engineers, fostering a culture of excellence and continuous learning. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. 8+ years of progressive experience in data engineering, with a proven track record in architecting and leading cloud data warehousing and modern data platform implementations. 4+ years of experience leading or architecting AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP. Expert-level proficiency and architectural leadership with the Snowflake Data Cloud, encompassing its advanced features, security model, and operational best practices. Expert-level proficiency and strategic application of dbt (Data Build Tool) for designing, developing, and maintaining complex data models, including automated testing and CI/CD integration. Mastery in SQL and Python, with a focus on scalable data processing, automation, and API integration. Extensive experience (7+ years) with leading BI/reporting tools such as Sigma or Power BI, with a deep understanding of data visualization best practices. Preferred Qualifications Demonstrated expertise in implementing and managing data quality, observability, and lineage frameworks and tools across enterprise data pipelines.Deep architectural understanding and practical application of advanced Snowflake capabilities (e.g., zero-copy cloning, secure data sharing, external tables, Snowpark, dynamic tables, MCP gateways). Proven track record in defining and implementing enterprise-level data and solution architectures, including experience with data mesh or data fabric principles. Comprehensive understanding of the broader analytics ecosystem, including diverse BI/reporting tools (e.g., Tableau, ThoughtSpot) and complex downstream consumption patterns. Previous experience guiding technical teams and presenting complex technical concepts to senior leadership.Snowflake Gen AI certification preferred
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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