"scalable service architectures" Jobs
389 open tech roles matching “scalable service architectures”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AWS. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 389 results
Lead the technical strategy for customers in the Healthtech space as a Solutions Architect at Databricks.
Build a scalable Experiment Platform at Poolside AI, working with a remote-first team to enhance research workflows.
Lead Salesforce Full Stack AI Engineer at Elastic, driving automation and AI integration in business processes.
Lead the technical strategy for data engineering and warehousing solutions as a trusted advisor to customers.
Join MongoDB as a Solutions Architect to guide customers in designing scalable systems using our data platform.
Join XBOW as a Software Engineer to build scalable infrastructure for AI-driven security solutions in a fully remote environment.
Serve as a trusted technical advisor guiding enterprise customers in deploying Databricks on AWS.
Join MongoDB as a Solutions Architect to drive technical strategy and partner-led growth in India with a focus on scalable data solutions.
Join CoreWeave as a Senior Engineer I to design and optimize large-scale data systems for AI/ML in a fully remote environment.
Join ezCater as a Senior Software Engineer to build backend services and APIs for an AI-native platform in a fully remote environment.
Lead a high-impact team managing cloud infrastructure for Valon's AI-native operating system in a fully remote environment.
Join Armada as a Senior Customer Engineer to bridge technical expertise and sales in a remote role based in Singapore.
Own and define the architecture of Cortex's infrastructure as a Staff Platform Engineer in a fully remote team.
Design and develop Algolia's Salesforce B2C Commerce integration with a focus on architecture and scalability in a fully remote role.
Join a fully remote team as a Senior Software Engineer to enhance Elasticsearch's core storage and query engine.