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Build and ship production-grade LLM systems, RAG pipelines, and agentic workflows on Databricks, optimizing for latency, cost, and reliability while mentoring peers.
Build and deploy AI/ML models (LLMs, NLP, deep learning) for client projects, from requirements to production, using Python, SQL, and cloud tools (AWS/GCP/Azure).
Design and build scalable data pipelines using Databricks, Snowflake, and Spark, leading architecture decisions and optimizing performance across AWS/GCP/Azure for client projects.
Senior data engineer designs and builds cloud-based lakehouse data platforms, leads small teams, and advises clients on data architecture and technical proposals.
Validate large cloud-platform codebases using AI coding assistants, static analysis, and security scanners to identify risks, generate evidence packs, and support reproducible builds for OpenStack-derived services.
Engineer uses AI coding tools to analyze OpenStack-derived cloud services, map APIs and dependencies, and produce handover documentation for cloud platform transitions.
Build and own the AI reasoning layer and agent orchestration framework for an enterprise GRC platform, shipping production-grade agentic systems that automate governance, risk, and compliance workflows.
Senior Product Manager to lead B2B SaaS product strategy for governance, risk and compliance tools, collaborating with global teams to define roadmaps and drive customer value.
Builds secure, scalable microservices in C#/.NET Core and Angular on AWS, modernizing SaaS for governance, risk and compliance while integrating AI tools to accelerate development and improve quality.
Own the roadmap for Diligent’s governance, risk and compliance SaaS platform, turning customer needs into secure, modern product experiences and leading cross-functional teams to drive adoption and measurable outcomes.
Build and modernize a SaaS governance, risk and compliance platform using Node.js, React, microservices, REST APIs, SQL and AWS.
Build and maintain secure, scalable microservices in C#/.NET Core on AWS, and contribute to Angular front-end features for a SaaS governance, risk, and compliance platform.
Designs scalable B2B SaaS experiences for AI-powered governance and risk-compliance software, leading a design system and collaborating with product and engineering teams.
Builds secure, scalable C++ services for Diligent’s GRC SaaS on AWS, modernizes legacy systems, and integrates AI tools to accelerate development while ensuring quality and compliance.
Build and own full-stack features for a governance, risk, and compliance SaaS platform using Angular, C#/.NET, AWS, and AI-assisted tools.
Leads quality assurance for a SaaS governance platform, designing AI-augmented testing strategies and automation frameworks across AWS-based microservices and frontend/backend systems.
Here’s a summary of the role: In this role, you will shape the future of governance, risk, and compliance by leading engineering teams to build the next generation of GRC products that turn compliance from a reactive…
Leads architecture and builds scalable SaaS platforms using TypeScript and AI, guiding multiple teams and setting engineering standards in a hybrid Budapest office.
Build and maintain secure, scalable SaaS features in Ruby on Rails, own backend architecture, and mentor peers while collaborating with cross-functional teams.
Senior engineer building secure, AI-powered microservices and React frontends for a GRC SaaS platform using Node.js, TypeScript, AWS serverless, and LLM integrations.
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