Build reliable systems, improve data accuracy across member, client, and operational workflows, and automate processes that are critical to Virta’s ability to deliver seamless care and transparent reporting. Your work will enable faster decision-making, reduce manual processes, and ensure our data is accurate and accessible.
Energized by the idea of innovating with generative AI? Aspire to create a global impact while tackling challenges at the forefront of machine learning? Want to be part of the team working on ground-breaking products that define the future of AI-driven network management? This is an incredible opportunity to innovate new networking experiences while working at the cutting edge of IOT, big data, cloud computing, ML and generative AI.
As an engineer on Virta’s Product Platform team, you’ll help build core functionality that powers innovation across our entire product. From shaping our AI platform to developing a configurable rules engine that enables self-service clinical workflow design, your work will have a broad impact across both engineering and our members.
Design and develop high-quality backend solutions using modern Java (11–21). Build microservices using Spring Boot (Web or WebFlux). Apply best practices such as TDD, clean code, and design patterns. Collaborate with an international team on enterprise-level projects while working in an agile environment with CI/CD and Docker-based pipelines. Contribute to technical decisions and system architecture discussions.
Design and develop high-volume, fault-tolerant, scalable backend systems and services. Collaborate with product and engineering teams to understand business requirements and translate them into technical designs. Create architecture and design documentation, timelines, and user stories. Mentor and guide other engineers, fostering a strong culture of quality and ownership. Lead and manage globally distributed teams with clear communication and technical vision.
Deliver high-fidelity software, design, and product solutions for clients across a wide spectrum of industries and needs. As a Python developer, you'll be working with a group of project managers, producers, designers, QA analysts, and other engineers to build great software and sustainable infrastructure on behalf of our clients. You'll be responsible for contributing to the overall technical leadership within your team and the firm.
Experian is looking for an experienced Senior Software Engineer - Java (Cloud-native Java) who can excel in developing and delivering direct-to-customer products on a cloud-native Java platform. You will design and implement features and functionalities in an AWS cloud-based platform, optimize a robust distributed system that is highly secure and performant, and collaborate with Business, UX, QA and back end teams.
As a Principal AI-Driven Engineer, you’ll be at the forefront of engineering excellence, crafting scalable, reliable, and AI-driven solutions that empower businesses globally. This isn’t just about leadership through hierarchy—it’s about leading by action, mentoring teams, and architecting systems that redefine what’s possible. Your work will transform complex challenges into elegant solutions, leveraging AI to optimize productivity, push boundaries, and create systems that stand the test of time.
As a Senior AI-Driven Engineer, you'll be joining a team that's leading the charge in developing a full-fledged credit card operation using the blockchain as the primary source of truth for customer balances. The team is working with Rust to develop their microservices, and are accountable for the entire issuer operation, including card issuance, transaction authorization and the clearing process.
A unique opportunity to accelerate your international career by maintaining and enhancing a critical codebase. Focus is primarily on backend systems built with .NET and frontend components using React and TypeScript, collaborating with cross-functional teams to resolve issues, improve reliability, and deliver incremental improvements, with opportunities to expand into more feature-driven work over time.