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Design and implement big-data architectures for financial services customers using Databricks’ platform, open-source tools like Spark and MLflow, and public clouds.
Senior Solutions Architect at Databricks partners with enterprise clients to drive adoption of the company's data and AI platform, leading technical strategy and mentoring teams to transform businesses using big data and ML.
Designs and promotes Databricks' Lakebase product line to enterprise clients in Germany, advising on OLTP databases, lakehouse architectures, and cloud integrations to drive adoption and revenue.
Build and scale the architecture of a global SaaS data platform using Python, SQL, AWS, and Terraform. Focus on data warehousing migration, performance tuning, and infrastructure as code.
Senior Solutions Engineer at Databricks helping digital-native and scale-up customers in Spain adopt the Data Intelligence Platform, demoing Spark-based analytics, and guiding technical adoption.
Leads complex enterprise data and AI strategy for Databricks’ largest customers, designing scalable architectures (multi-workload, real-time, AI/ML) and mentoring teams to drive platform adoption and revenue growth.
Senior Solutions Engineer at Databricks partners with enterprise sales teams to drive technical adoption of the Databricks Data Intelligence Platform, focusing on ML & AI solutions for large manufacturing and data-driven organizations.
Pre-sales Senior Solutions Architect for Retail & CPG accounts at Databricks, defining and directing technical strategy to drive adoption of the Databricks data and AI platform across large enterprise customers.
Senior Solutions Engineer at Databricks helping clients solve complex data challenges by demonstrating the Data Intelligence Platform, integrating with cloud ecosystems, and providing technical guidance.
The Senior Technical Solutions Engineer provides technical support for the Databricks unified analytics platform, troubleshooting complex issues and guiding customers on best practices. The role requires expertise in Python, SQL, and cloud environments to assist with Big Data ecosystem challenges.
Senior Solutions Engineer at Databricks helps customers solve complex data challenges by demonstrating the Data Intelligence Platform, integrating with cloud ecosystems, and providing technical guidance in Python/SQL and big data analytics.
Expert DevOps engineer designs and automates cloud data pipelines and infrastructure for enterprise clients, using GCP/Azure, Kubernetes, Terraform, and Python.
Build and maintain cross-platform mobile apps for Android and iOS using React Native and C# APIs, collaborating with designers and backend teams to ship features and optimize performance.
Design and build high-throughput, concurrent backend systems in Python and Go for DigitalOcean's Agentic AI Feedback Systems team, focusing on scalable orchestration of AI agent evaluation workflows and distributed infrastructure.
Build and maintain the control plane for a cloud database-as-a-service platform, focusing on MongoDB and Aiven, using Go, Kubernetes, and distributed systems at scale.
Build and maintain the control plane for DigitalOcean's cloud database-as-a-service platform, focusing on MongoDB and Aiven integrations, while ensuring scalability, reliability, and automation for database operations.
Principal-level Kubernetes engineer designing and building production-grade cluster lifecycle, networking, storage, and automation for GPU-accelerated bare-metal AI infrastructure, primarily using Kubernetes, Go, and cloud-native tooling.
Senior Software Engineer II at DigitalOcean, working on Key Management Systems (KMS), designing and building high-availability, security-critical key management services in Go, handling key lifecycle, envelope encryption, compliance, and system hardening.
Builds, secures, and automates Linux machine images for GPU and CPU cloud platforms using Packer, Ansible, and CI/CD pipelines.
Senior Software Engineer in DigitalOcean's Billing Engineering team builds and maintains billing automation, revenue assurance, and operational tooling for a 70-service cloud platform, using Go, Ruby, Kubernetes, and Kafka.
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