Lead the design, implementation, and optimization of scalable Databricks-based data platforms, including lakehouse deployments, legacy migrations, and production data pipelines. Advise clients and delivery teams on architecture, technical execution, troubleshooting, documentation, and best practices for enterprise analytics and AI initiatives.
You will design, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks, Python, and SQL. Additionally, you will collaborate with cross-functional teams to optimize data workflows and support data analysts and scientists in delivering high-quality data solutions.
You will lead the end-to-end design, implementation, and optimization of scalable data platforms using Databricks and modern cloud ecosystems. Additionally, you will partner with client stakeholders to migrate legacy systems and drive high-impact data engineering and AI initiatives.
You will build end-to-end product features across the frontend, backend, and AI integrations while designing multi-step agent workflows. Additionally, you will partner with ML and backend teams to architect scalable systems that ensure reliability and high performance for AI-native applications.
Manage end-to-end service delivery for complex ERP integrations and supply chain solutions from sale to handoff. Act as an information broker between internal teams and external customers while maintaining project schedules and quality standards.
Lead post-sale technical implementations, ERP integrations, system configurations, and data mapping for complex supply chain solutions. Manage implementation progress and customer change events, coordinate with clients and third-party partners, and resolve or escalate technical issues.
Design and build core machine learning systems for a proactive AI platform while taking end-to-end ownership of projects. Partner with research and engineering teams to translate research into reliable, production-grade systems that optimize for latency and scale.
Design and build core machine learning systems for a proactive AI platform while taking end-to-end ownership of projects. Partner with research and engineering teams to translate research concepts into reliable, production-grade systems.
You will own the native client experience for AI-native productivity applications, ensuring high performance and reliability. You will also collaborate with ML and backend teams to integrate intelligent features and define system architectures.
You will build and operate scalable backend systems that serve AI-powered features, including designing high-performance inference pipelines and orchestration workflows. Additionally, you will own system health, observability, and optimize system latency and throughput for mobile and desktop applications.
Build and operate scalable backend systems that serve AI-powered features in production. Design high-performance inference pipelines and orchestration workflows while ensuring system health and observability.
The Account Executive will own the full sales cycle, including prospecting, developing, and closing new business opportunities within a defined territory. They will also manage existing customer accounts to drive upsell and cross-sell initiatives while collaborating with internal teams to ensure customer success.
Manage end-to-end recruitment projects including sourcing, shortlisting, and interviewing candidates. Develop and maintain client relationships while providing market intelligence and competitor insights.
Manage end-to-end recruitment projects including sourcing, shortlisting, and interviewing candidates. Develop and maintain client relationships while providing market intelligence and competitor analysis.
You will build and maintain high-performance native Android applications using Kotlin while integrating intelligent AI features like chat, vision, and voice. Additionally, you will architect user experience patterns for real-time interactions and optimize app performance for resource-intensive tasks.
You will own the inference and orchestration layer for AI-native applications, building scalable systems that power intelligent features. This includes designing high-performance pipelines, ensuring system observability, and optimizing for latency and cost efficiency.
You will own the inference and orchestration layer for AI-powered features, ensuring high-scale production reliability and performance. Responsibilities include designing high-performance pipelines, optimizing system latency, and maintaining observability across distributed services.
You will own the native client experience for AI-native productivity applications, focusing on performance, reliability, and seamless integration of intelligent features. You will collaborate with ML and backend teams to architect robust systems and optimize mobile performance for a high-quality user experience.
Design and build core machine learning systems for a proactive AI platform while taking end-to-end ownership of projects from data curation to production deployment. Partner with research and engineering teams to optimize model architectures for reliability, latency, and safety at scale.
Lead post-sale technical implementations, system configurations, and data mapping for complex supply chain solutions. Act as a technical liaison to analyze client needs, resolve change events, and coordinate with third-party partners.
The Implementation Consultant will lead technical implementations, ERP integrations, and system configurations for complex supply chain solutions. They act as a central technical interface, managing customer requirements, troubleshooting change events, and coordinating with external partners.
The Project Manager will oversee end-to-end service delivery for complex projects, including ERP integrations and agile e-invoicing implementations. They are responsible for managing project timelines, coordinating between internal teams and external clients, and ensuring quality standards are met.
You will design, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks, Python, and SQL. Additionally, you will collaborate with cross-functional teams to optimize data workflows and support the delivery of clean data for analytics and AI initiatives.
You will lead the end-to-end design, implementation, and optimization of scalable data platforms using Databricks and modern cloud ecosystems. Additionally, you will partner with client stakeholders to migrate legacy systems and deploy production-grade lakehouse architectures.
Lead and mentor a team of backend engineers to turn business goals into technical roadmaps and high-quality execution. Own the backend architecture for high-traffic mobile apps, focusing on scalability, reliability, and performance on AWS.
Lead and mentor a team of backend engineers to turn business goals into technical roadmaps and high-quality execution. Own the backend architecture for high-traffic mobile apps, focusing on scalability, reliability, and the modernization of the Ruby on Rails codebase.
Lead and mentor a team of 4-5 backend engineers while owning the technical vision and architecture for high-traffic mobile apps. Translate business goals into technical roadmaps and maintain a high-performance Ruby on Rails platform on AWS.
Lead and mentor a team of backend engineers to build and scale core backend systems for mobile-first social and dating products. Translate business goals into technical roadmaps while modernizing the Ruby on Rails architecture on AWS.
Lead and mentor a team of 4-5 backend engineers to build and scale core backend systems for mobile-first social and dating products. Responsible for translating business goals into technical roadmaps and modernizing the Ruby on Rails architecture on AWS.
