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Software Engineer II on Microsoft's Defender Experts team (Security division) building full-stack, AI-powered managed security services — designing scalable real-time Azure cloud services, Web APIs, and React frontends, plus LLM-based agentic workflows for autonomous threat detection and investigation.
Designs and builds Java-based distributed microservices and connector integrations for Jitterbit's multi-tenant SaaS iPaaS platform, owning systems end-to-end from architecture to production observability. Core stack includes Java/Spring Boot, Kafka/RabbitMQ, REST/SOAP/GraphQL/gRPC, Docker/Kubernetes, and cloud platforms like AWS.
Applied ML engineer on Apple's Software Localization team, applying LLMs, NLP and machine translation to build localization tooling and end-user features for Xcode and Apple products. Day-to-day spans model training, fine-tuning, translating research into production systems, and cross-functional collaboration.
Owns 0-to-1 payroll-tax products, blending AI-native discovery with cross-functional execution to deliver compliant, revenue-driving solutions for 64M U.S. paychecks.
Builds deep learning models and 2D/3D CAD feature-extraction pipelines that power Imnoo's AI quoting and calculation engines for CNC manufacturing, plus the cloud services, APIs, and automated training/deployment infrastructure behind them. Stack includes Python, C++/C#, PyTorch, CUDA, and AWS/Azure.
This role bridges business analysis and banking operations to streamline teller UX deployments, focusing on process automation, AI-driven migration tools, and configuration blueprints for core banking systems like DNA Teller and ClearTouch.
Senior contract developer (6-18 months, W2, hybrid with 4 days on-site in Buffalo, NY) building consumer banking applications, leading a transition from .NET/Angular to React/Java. Day to day involves React front-end work, Java Spring Boot microservices on Azure Cloud, mentoring, testing, and cross-team coordination.
Automation Technical Architect at TELUS Digital who translates business process designs into build-ready technical architecture across RPA and Agentic AI solutions, assessing client environments and defining integration, orchestration, and security/compliance designs that engineering teams implement without redesign.
Senior Engineering Manager (Core Services) Full-time · Remote (US) · $200K–$260K + Competitive Equity About this role We're looking for a strong Senior Engineering Manager to lead a backend/platform-focused…
Nscale, a GPU cloud provider for AI workloads, is hiring a Staff Security Engineer to lead product and platform security: hands-on threat modeling, architecture reviews, vulnerability management (CVSS triage and remediation), running bug bounty/responsible disclosure programs, and supporting incident response across its cloud platforms and hyperscale GPU clusters.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Designs, builds, and deploys production-grade AI systems and ML pipelines, focusing on scalable implementations and collaboration with cross-functional teams.
Principal AI Engineer designs and builds enterprise-grade AI systems on AWS, leading architecture, LLM integrations, and production deployment for clients across multiple industries.
Leads the design and delivery of AI-integrated full-stack platforms, defining front-end and back-end architecture while mentoring engineers and shipping production-ready systems using React, Node.js, Python, and AWS.
Design and deliver enterprise-grade generative and agentic AI systems on AWS, leveraging Amazon Bedrock, Strands Agents, and related services to build scalable, secure AI platforms.
Lead the design and delivery of AI/ML systems, owning architecture decisions and driving solutions from research through production at scale using Python, AWS, and generative AI tools.
Designs and leads enterprise-grade generative and agentic AI systems on AWS, using Amazon Bedrock, Strands Agents, and related services to deliver scalable, secure, and production-ready AI platforms.
Builds and integrates AI-powered back-end systems for enterprise clients, focusing on AWS-hosted APIs, mobile apps, and event-driven architectures.
Leads the design, delivery, and adoption of AI/ML systems directly within client environments, owning architecture decisions and driving solutions from research through production at scale.
Principal engineer designing and shipping production-grade multi-agent AI systems on AWS, leading architecture across cloud, data, and AI/ML while mentoring teams and setting technical direction.
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