As a Lead Software Engineer, Backend, you will design, implement, and maintain scalable backend systems, tackling technical challenges and enhancing developer tooling.
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Design and deliver production-ready AI features for SaaS products, partnering across engineering, product, and data teams to build scalable services and infrastructure that improve customer and business outcomes.
Join the Program and Project Management team at Nava, where you can contribute to enhancing government services through effective project oversight and management.
Lead and manage the team of instructors, overseeing the development and dissemination of instructional notes while translating technical methods into actionable guidelines for technicians.
Lead medical affairs strategy and operations by engaging healthcare professionals and KOLs, supporting clinical trials, developing scientific communications, and ensuring medical information is accurate and compliant.
Staff Software Engineer, Frontend (Consumer - Advanced Trading)
Leads frontend technical strategy for an advanced trading platform, owning web and mobile client performance, reliability, and scalability while guiding architecture, major initiatives, and engineering standards.
Build and evolve fraud detection and device fingerprinting systems that identify bots, abuse, and reverse engineering, while shaping technical direction and improving the resilience of production services.
Leads clinical data management for complex studies, coordinating data collection, validation, reconciliation, database lock, final deliverables, quality control, and communication with project teams, clients, and vendors.
As a Staff Performance & Reliability Engineer, you will own the Tempest platform, driving performance improvements and ensuring reliability across Domino's infrastructure.
Lead hands-on development of AI-powered full-stack applications, mentor engineers, and set technical direction for scalable systems supporting real-time AI workflows for enterprise users.
Drive the backend architecture and delivery of a cloud-based SaaS platform using S/4HANA and SAP BTP technologies while leading a team of ABAP engineers.
Lead Solutions Architect - Generative AI (EMEA Emerging DNB)
Lead Solutions Architect will drive the adoption of Generative AI for EMEA Emerging Digital Natives, transforming ambitious ideas into production-grade solutions.
Staff+ Software Engineer, People Products
Build full-stack People Products that improve hiring, onboarding, teamwork, and promotions, designing AI-native workflows and shipping solutions in close collaboration with internal users.
Own the technical success of strategic customers by driving adoption, resolving issues, advising on cloud-native architectures, and representing customer needs to product and engineering teams.
Design and guide the evolution of large-scale production systems, modernize legacy architecture, optimize cloud infrastructure, and mentor engineering teams while aligning technical decisions with business needs.
Lead Consultants at Veeva Systems drive customer success by managing IT operations and implementing strategic enhancements for Veeva Vault products in the life sciences sector.
Lead the execution of complex enterprise solutions as a Fullstack Technical Leader, ensuring engineering excellence and overseeing high-performance teams.
Lead the technical vision and execution by mentoring multidisciplinary teams, ensuring adherence to standards, and aligning technical objectives with business goals.
As the Principal Platform Security Engineer, you will define and implement the security strategy for Upstart's production infrastructure and developer platforms, ensuring robust security practices across teams.
Lead QA automation strategy and build scalable testing frameworks while implementing diverse automated testing approaches and mentoring two junior QA engineers.
Set the technical vision and architecture for AI-powered go-to-market systems, building agentic workflows and integrations while establishing the patterns, governance, and standards used across GTM engineering.
As a Senior Staff Machine Learning Engineer, you will define and execute the long-term ML strategy for the Trust organization, driving large-scale initiatives and mentoring engineers.
Develop and optimize low-level machine learning and HPC kernels for a massively parallel processor, improving performance and validating kernel libraries while collaborating with hardware architects on future systems.
Leads architecture and delivery of scalable full-stack software, owns critical systems, resolves complex production issues, and mentors engineers while improving engineering standards and development workflows.
