You will build native Rust-based execution engines and accelerate distributed systems like Apache Spark, Hadoop, and Ray. The role involves deep performance tuning and taking full ownership of complex, performance-critical components.
MWDN
18 Remote Job Openings at MWDN
You will design, build, and maintain scalable cloud infrastructure while collaborating with the R&D team to streamline CI/CD pipelines. Additionally, you will partner with developers to optimize Ruby/Rails environments and support the infrastructure for emerging AI capabilities.
You will own features end-to-end, from technical scoping and API design to building accessible frontend experiences and shipping to production. Additionally, you will integrate AI-powered features and mentor other engineers to ensure high code quality and performance.
Design, build, and maintain scalable cloud infrastructure while collaborating with the R&D team to streamline CI/CD pipelines. You will also optimize Ruby/Rails environments and support the infrastructure for emerging AI capabilities.
Design and scale data infrastructure and pipelines to process massive volumes of ad-tech and CRM data for real-time analytics. Develop ETL/ELT workflows and data models to optimize campaign performance and supply analysis.
Identify and engage top-tier global IT talent using various sourcing channels and AI tools. Conduct initial screenings and maintain candidate data within the ATS to improve recruitment efficiency.
Design and build bespoke integrations between security products and customer stacks, primarily using Python. Own the end-to-end process from technical discovery and reverse-engineering APIs to implementation and handover.
Design and build bespoke integrations between security products and customer stacks, primarily using Python. Own the end-to-end process from technical discovery and reverse-engineering APIs to implementation and handover.
Design and build bespoke integrations between security products and customer-specific security stacks using Python. Own the end-to-end engagement process from technical discovery and scoping to implementation and handover.
Design and build bespoke integrations between security products and customer stacks, primarily using Python. Own the end-to-end process from technical discovery and scoping to implementation and handover.
Research emerging fraud and abuse techniques to design and validate new security signals and detection mechanisms. Collaborate with engineering and data science teams to translate research insights into scalable product capabilities.
Design and build advanced AI workflows for image, video, and multi-model orchestration. Create showcase demos for investors and enterprise clients while collaborating with product teams to improve user experience.
You will work on client-side backend development and collaborate with team members to design, prototype, and assess technical feasibility. Additionally, you will be responsible for investigating and resolving issues reported by customers.
Design and develop full-stack applications for programmatic advertising workflows utilizing React, Node.js, and Python, while building and maintaining integrations with major SSPs and DSPs. Responsibilities also include implementing and optimizing Prebid configurations, developing OpenRTB-compliant handling, and ensuring compliance with privacy frameworks.
The role involves designing and building advanced workflows for image, video, AI editing, and multi-model orchestration, as well as creating showcase demos for investors, marketing, and tutorials. Additionally, the individual will explore and integrate cutting-edge AI models and help design widgets to simplify complex workflows for non-technical users.
The role involves designing and building scalable data pipelines to process real-time bid stream, impression, and revenue data from various programmatic sources, while developing real-time and batch processing systems for auction analytics and bid landscape modeling. Responsibilities also include creating data models for yield optimization and maintaining data warehouses optimized for ad-tech query patterns.
The role involves designing and building scalable data pipelines to process real-time bid stream, impression, and revenue data from programmatic sources, while developing ETL/ELT workflows to transform raw data into analytics-ready datasets. Responsibilities also include building real-time and batch processing systems for auction analytics and developing data models for yield optimization.
The role involves owning the marketing and product frontend, ensuring it is visually appealing, highly functional, and user-friendly, while continuously implementing and maintaining new features to improve performance and usability. Responsibilities also include leveraging data metrics to guide design and development decisions through setting up analytics and collaborating with cross-functional teams.
