Top Tech Jobs & Startup Jobs

Lead design, evolution, and governance of enterprise data architecture. Define data models, integration patterns (batch and real-time), and technology choices. Drive metadata management, lineage, data quality, privacy, and adoption of cataloging tools. Collaborate with engineering, analytics, and business teams to translate requirements into scalable cloud data solutions and promote standards, best practices, and AI-native development.

Develop robust backend services and Web APIs in C#/.NET (8/10), implement secure authentication (JWT/OAuth2), build cloud-native solutions on Azure (Web Apps, Functions), instrument Application Insights, automate CI/CD (Azure DevOps/GitHub Actions), manage IaC (Bicep/Terraform/ARM), and apply generative AI tooling and prompt-engineering for development productivity.

Design, build, and maintain production-grade full‑stack applications using modern frameworks. Implement CI/CD and testing, ensure code quality and security, and use generative AI tools (e.g., Copilot) and prompt engineering as core parts of the development workflow. Validate AI outputs, collaborate with product teams, and contribute to internal Gen-E2 practices and playbooks.

Design, build, and maintain scalable backend services and RESTful APIs using Python and FastAPI. Lead backend architecture, optimize performance, ensure security, implement CI/CD and observability, mentor engineers, and apply AI-native practices including generative AI tools and prompt engineering throughout the development lifecycle.

Lead and manage engineering teams to own technical direction, architecture, and delivery quality while embedding AI-native workflows. Define GenAI best practices, coach teams on prompt engineering and AI tool use, ensure CI/CD, testing, and scalable secure systems, collaborate with clients and sales, and contribute reusable assets to scale delivery.

Lead Design Ops to define, scale, and govern Design Operations and design systems across web, mobile, and desktop. Build design tokens, component libraries, CI/CD workflows, tooling integrations (Figma, Storybook, AI tools), living documentation, and KPIs while ensuring accessibility (WCAG) and cross-functional alignment.

Open call to join Palo IT's Talent Community. Share your expertise and interests for future opportunities with a global, AI-first technology consultancy focused on sustainable impact and agile delivery.

Build scalable backend services in Java with Spring Boot and responsive frontends in React/TypeScript. Design REST APIs, work with relational databases, implement event-driven patterns, ensure test coverage and CI/CD, improve observability, collaborate with DevOps, mentor engineers, and apply AI-assisted development tools responsibly.

Lead client-facing delivery of AI-first, full‑stack products from discovery through production. Embed with client teams to design, build and deploy LLM-powered systems, apply prompt/context engineering, validate AI-generated code, and drive adoption. Own technical outcomes, identify risks, and communicate with stakeholders across product, architecture, code, and infrastructure.

Senior forward-deployed engineer who leads end-to-end delivery of AI-first, full-stack solutions for enterprise clients. Own discovery through production, embed with client teams, apply Gen-e2 AI-native engineering practices, use LLMs and AI coding tools daily, and modernize .NET applications while ensuring architecture, adoption, and measurable impact.