Top Software Engineer Jobs in Portugal

As a Software Engineer, you'll develop an AI agent platform for productivity apps, focusing on AI integration to enhance user experiences.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

The role involves developing GPU Monitoring features, maintaining eBPF functionality, investigating production issues, and contributing to architectural decisions in Datadog's eBPF platform.

Lead organization-wide software and AI engineering strategy, architect large-scale data and LLM integrations, drive deployment and CI/CD practices, mentor technical leaders, and convert prototypes to production while ensuring AI evaluation, observability, and high code quality.

Validate consumer audio products through manual and automated testing of firmware, mobile integrations, Bluetooth connectivity, and embedded systems. Design test strategies, lead exploratory testing, analyze logs for root cause, contribute to automation frameworks (Python/JavaScript), integrate tests into CI/CD, and collaborate with cross-functional teams to ensure release readiness.

Lead backend technical work for Connected Devices Platform: design and implement scalable distributed systems (streaming, APIs, databases), ensure resilience, evolve architecture and processes, mentor teammates, and contribute to agentic AI development.

Lead full-stack development of cloud-native SaaS transportation solutions: prototype, design, build and deploy responsive React front ends and scalable C#/.NET back ends, implement REST APIs, optimize performance/security, use AI-assisted coding, and operate CI/CD and cloud infrastructure (Azure/Docker) in an agile international team.

Build and maintain fullstack identity verification systems using React/TypeScript and backend languages (Python/Kotlin/Ruby). Design scalable APIs and microservices on cloud platforms, improve reliability and security, mentor engineers, drive architecture and deliver privacy-compliant features end-to-end.

Build and maintain backend integrations connecting a public safety platform to third-party systems. Design and implement integration workflows in Java/Spring Boot, develop REST/SOAP/GraphQL APIs, improve RMS/CAD/Booking data pipelines, write tests, debug production issues, document solutions, and collaborate across product and engineering teams to deliver secure, scalable cloud-based integration solutions.

Build and maintain backend integrations connecting a public-safety platform to third-party systems. Design Java/Spring Boot workflows, implement REST/SOAP/GraphQL integrations, improve RMS/CAD/Booking data pipelines, write tests, debug production issues, and contribute to CI/CD and technical documentation.

Build and ship production-quality React components, turn ambiguous product problems into testable specs, run end-to-end workflows, own production deployments and debugging, ensure architectural consistency, optimize browser performance and accessibility, and integrate reliably with backend and third-party systems.

Design and ship production-quality React frontend features: translate ambiguous product problems into testable specifications, run and review AI agent workflows, debug and root-cause production issues, write accessible HTML/CSS, integrate with backends, and own end-to-end delivery including tests and deployment.

Design, build, integrate, and operate resilient cloud-hosted services in C#/.NET that connect with on-premise systems. Implement data access with Entity Framework, host services on Azure Container Apps, and handle complex, rate-limited API integrations. Ensure multi-tenant auth and throttling, TDD, observability, reliability, and SLA-driven production delivery while collaborating with product, delivery, and engineering teams in an agile environment.

Build and own end-to-end features across backend and frontend: design backend services and data models (Python/Django), implement RESTful APIs, create reusable frontend components (TypeScript/React), write tests, participate in code reviews, maintain production reliability and security, and collaborate with product and design.

Develop and maintain C# applications, design robust solutions with the team, write unit tests and occasional end-to-end test plans, conduct code reviews, and diagnose and resolve technical issues to ensure code quality and reliability.

Design, develop, and maintain Entrust's iOS SDK for document capture. Implement camera capabilities, on-device image processing and ML, integrate RESTful APIs, improve CI/CD and test automation, collaborate with product and design to deliver accessible, high-quality SDK features across devices.

Join Dashlane as a Backend Software Engineer, focusing on feature development and improving customer experiences in a collaborative team environment using NodeJS and Typescript.

Build and maintain reliable API integrations with EV chargers, vehicles, and OEM platforms. Improve connectivity platform reliability, observability, and scalability. Develop automations and internal tools, define SLAs and monitoring, reduce incidents, and collaborate across teams to support Enode's energy device integrations.

Design, build, and evolve scalable frontend features and shared UI libraries using React and TypeScript. Lead cross-team frontend initiatives, architect micro frontend platform with module federation, maintain monorepo structure and tooling, and own CI/CD pipelines (GitHub Actions). Use AI-assisted and agentic tools as a core part of the development workflow.

Develop and integrate Python-based AI/ML solutions, build scalable backend services, collaborate with data scientists to deploy models, optimize performance of AI applications, and improve development processes.

Fullstack engineer (backend-focused) building synthetic testing, evaluation frameworks, and validation tools for AI agents. Develop APIs, event-driven systems, data workflows, and user-facing tools while collaborating with product, design, data, and ML teams to ensure reliability, performance, and product-quality delivery.

Design and implement Python-based AI/ML software and scalable services. Integrate models with existing systems alongside Data Scientists, optimize application performance, and improve development processes and methods.

Build and scale a blockchain data platform handling petabytes of on-chain data. Design and implement distributed systems, data ingestion/decoding pipelines, and performant SQL processing. Write production code (Kotlin, Go, Java, Rust), improve developer experience, automate operations (including AI-driven automation), and own platform components.

Design, develop, and maintain full-stack SaaS software using .NET/C#/ASP.NET and Angular; build high-performance database solutions (SQL Server, PostgreSQL); participate across the SDLC including coding, testing, deployment, monitoring, troubleshooting, code reviews, documentation, and cross-team collaboration in a hybrid Lisbon role.

Build and own the iOS client: implement AI-centered features with Swift and SwiftUI, integrate backend APIs and on-device ML, optimize performance and battery, design resilient AI UX patterns, capture user signals, and maintain App Store quality and production reliability.