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The Senior Platform Engineer will join the Cloud Dev team to build and maintain cloud abstraction layers, internal tools, and automated infrastructure using Python, Go, Terraform, and GCP. The role focuses on empowering development teams through robust platform engineering, CI/CD optimization, and operational excellence.
Build and deliver full-stack applications for clients using Python/Flask or FastAPI and ReactJS with PostgreSQL.
Principal Software Developer at Elastic designs and builds core security features for Elasticsearch, including authentication, authorization, and tenant isolation, using Java, distributed systems, and AI-driven tools.
Principal engineer designing and implementing core security features like authentication, authorization, and tenant isolation for Elasticsearch, a distributed search and AI platform used by Fortune 500 companies.
Principal engineer designing and building core security features for Elasticsearch, including authentication, authorization, and tenant isolation, at scale in a distributed system.
Principal engineer designing and building core security features (authentication, authorization, tenant isolation) for Elasticsearch’s distributed data store, ensuring high-performance security at scale.
Build and optimize core security features for Elasticsearch, including authentication, authorization, and tenant isolation, using Java and distributed-systems expertise to secure a large-scale search engine.
Senior engineer building core security features like authentication, authorization, and tenant isolation for Elasticsearch, a distributed search and AI platform used by Fortune 500 companies.
Build and optimize core security features for Elasticsearch, including authentication, authorization, and tenant isolation, using Java and distributed-systems expertise.
Senior engineer building core security features for Elasticsearch, including authentication, authorization, and tenant isolation, using Java and distributed-systems security practices.
Designs and optimizes Databricks Lakehouse architectures, builds scalable data pipelines (PySpark, streaming), and collaborates with AI/ML teams to deploy models while ensuring governance, security, and cost efficiency.
Design and build high-performance Snowflake-based data platforms, optimize costs, and implement governance for enterprise clients.
A Senior Solutions Architect at Elastic advises clients on how to leverage Elastic’s search, security, and observability AI platform to solve business problems, bridging technical expertise with sales strategy.
Embedded engineer at Google Cloud who codes, ships, and hardens production-grade agentic AI workflows (Gemini Code Assist, multi-agent systems) directly within customer environments using Google Cloud's Vertex AI stack and protocols like MCP/A2A.
Designs and refines Google Cloud’s AI infrastructure GTM strategy, collaborating with cross-functional teams to create sales plays and blueprints that align with market needs and company goals.
Build an AI-native open-source data platform, integrating tools like DataHub and React-based console, while driving AI-first workflows and mentoring engineers.
Develops secure, scalable identity and access solutions using cloud-native APIs and event-driven workflows on Google Cloud Platform for a global financial enterprise.
Build and secure cloud-native platforms using Python (Django/FastAPI), TypeScript (Angular/NestJS), and DevOps tools like GCP and Kubernetes for enterprise clients in Europe.
Designs and maintains scalable data pipelines and warehouses, integrating diverse sources to enable analytics and reporting using Python, SQL, and cloud tools.
The Go-To-Market Security Lead at Google Cloud in Tokyo drives the regional strategy and execution for security solutions. This role involves orchestrating cross-functional teams, monitoring performance metrics, and collaborating with leadership to refine GTM plans and accelerate business growth.
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