Top Software Engineer Jobs in Portugal

Build and operate AI-powered developer tools, agentic workflows, reusable skills, integrations, orchestration capabilities, backend services, and APIs. Integrate AI systems with source control, CI/CD, issue tracking, documentation, and developer environments. Apply testing, evaluation, monitoring, security, and feedback practices to non-deterministic AI systems while collaborating with developers and contributing to platform architecture and engineering processes.

Build and operate large-scale egress networking infrastructure powering Cloudflare products. Responsibilities include designing systems, writing specifications and production code, testing, deploying and monitoring releases, troubleshooting customer issues, collaborating with engineering and network teams, and participating in on-call rotations. The role requires Go or Rust, networking expertise, distributed systems experience, production debugging skills, and use of AI-assisted development tools.

Design, implement, and maintain distributed software systems supporting Cloudflare’s application security products, including Rate Limiting and Web Application Firewall. Participate across the software development lifecycle, write automated tests, monitor production deployments, debug complex systems, review code, collaborate with security and infrastructure teams, and mentor colleagues. The role involves Rust and Go development, databases, Docker, Kubernetes, and maintaining reliable, fault-tolerant systems at scale, with possible on-call responsibilities.

Design, develop, deploy, and maintain software solutions using C#, .NET, ASP.NET, and Azure cloud services. Collaborate with product and development teams on requirements, architecture, and technical solutions. Build scalable cloud-native applications, apply security and reliability best practices, conduct code reviews, mentor junior engineers, and stay current with software and cloud technologies.

Develop autonomous networking and cloud-native solutions across the software development lifecycle, including requirements analysis, solution design, implementation, testing, and deployment. The role requires Java, Shell, and Python programming, CI/CD and version-control tools, test automation, and Docker/Kubernetes familiarity. Engineers will collaborate in an Agile, multicultural R&D environment focused on AI/ML-enabled network assurance and automated operations.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Develop, test, and maintain backend services, REST APIs, integrations, and workflow automation for customer-facing cloud platforms. Responsibilities include writing maintainable code, participating in code reviews and testing, troubleshooting backend systems and databases, and collaborating with product, UX, data, security, QA, and platform teams. The role offers practical experience with cloud services, APIs, enterprise systems, and backend engineering under the guidance of experienced developers.

Build and operate backend services supporting millions of emails. Own features end to end, design reliable distributed systems, scale APIs and databases, manage cloud infrastructure, improve observability and deployments, and participate in on-call rotation. Collaborate with customers and support to improve the product, strengthen engineering quality, and deliver complete experiences across the stack.

Develop and maintain secure, high-quality Java applications using Java 21 and Spring Boot. Design scalable software architectures, write and maintain unit tests, troubleshoot bugs, collaborate with cross-functional teams, document technical solutions, and stay current with emerging technologies and best practices. The role requires approximately five years of Java and Spring Boot experience, an engineering-related bachelor’s degree, Agile experience, and English proficiency.

Design, develop, and maintain secure, scalable blockchain platforms, distributed systems, backend services, APIs, microservices, and cloud-native applications. Build blockchain integrations, improve system performance and reliability, lead architecture discussions, drive automation and testing, troubleshoot distributed environments, conduct code reviews, and mentor engineers. Collaborate with product, architecture, security, and operations teams while promoting engineering best practices.

Build and operate AI-powered developer tools, agentic workflows, reusable skills, integrations, backend services, and APIs. Integrate AI systems with source control, CI/CD, issue trackers, documentation, and developer environments. Apply evaluation, testing, monitoring, and feedback practices to non-deterministic AI systems while collaborating with developers to improve engineering workflows and platform architecture.

Provides local IT support for the Lisbon office, including employee onboarding, hardware provisioning, workstation and conference-room support, inventory, procurement, and troubleshooting. The role also develops software infrastructure skills through scripting, Ansible automation, GitLab CI/CD, AWS support, Linux administration, and documentation. The position suits an early-career professional who can work independently onsite while collaborating with distributed senior engineers.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Build and maintain scalable full-stack credit card and payment products using .NET, C#, React, JavaScript, and database technologies. Own the software development lifecycle from coding through production monitoring and continuous improvement. Collaborate with product managers, QA, and engineers; create unit and integration tests; troubleshoot issues; and translate technical solutions into business outcomes.

Design, develop, test, deploy, monitor, and support Cloudflare’s large-scale egress connectivity infrastructure. Collaborate with engineering, network, and SRE teams to deliver secure, highly available network capabilities. Investigate customer issues, participate in production on-call rotations, coordinate releases, document systems, and use AI-powered tools to improve development and operational workflows.

Design, build, test, deploy, and monitor large-scale egress networking infrastructure. Collaborate with engineering, network, and SRE teams; troubleshoot customer issues; support production systems through on-call rotation; and develop capabilities using Go, Rust, Linux networking, distributed systems, and AI-assisted tools.

Design, build, and operate Cloudflare application security systems, including rate limiting and web application firewall services. Lead complex technical projects, define scalable architectures, improve reliability, review code and designs, collaborate across engineering teams, and mentor other engineers. The role involves distributed systems, production monitoring, debugging, operational improvements, and occasional on-call support.

You will design, develop, and maintain backend APIs, collaborate with cross-functional teams, and optimize performance for enterprise solutions.

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

Develop scalable distributed systems and core client and driver experiences for Dremio’s lakehouse platform. Responsibilities include software design, development, testing, deployment, code reviews, open-source contributions, collaboration with program managers and partners, customer engagement, mentoring, and recruiting. The role focuses on Apache Arrow, client tools, database drivers, microservices, high availability, resiliency, and zero-downtime upgrades.

Build and evolve Rerun’s open-source viewer, cross-language SDKs, and integrations with Rerun Hub. Develop high-performance interfaces for large-scale multimodal data, optimize workflows across desktop and web, make full-stack architecture decisions, and collaborate with backend, Hub, design, customers, and the open-source community. The role involves UI development, rendering, data handling, infrastructure, real-time applications, visualization, and performance optimization.

Develop and optimize software solutions for industrial additive manufacturing in an agile team. Responsibilities include designing algorithms, data structures, and software subsystems; debugging complex issues; benchmarking and improving performance, stability, efficiency, and scalability; and contributing to software quality and documentation. The role uses Vue.js, TypeScript, Python, C++, MongoDB, Docker, and automated development tools.

Design and develop scalable backend services and APIs for creating, configuring, testing, deploying, monitoring, and managing AI agents. Build orchestration, workflow execution, integrations, runtime, permissions, observability, and lifecycle capabilities. Collaborate with frontend, AI/ML, product, UX, DevOps, and platform teams to deliver secure, reliable, high-performance AI products and resolve complex production issues.

Designs and maintains scalable, event-driven backend services and distributed systems using TypeScript, Node.js, and AWS. Responsibilities include architecting cloud infrastructure, managing CI/CD pipelines with Jenkins and GitHub Actions, applying Infrastructure as Code, participating in Scrum ceremonies, and integrating generative AI tools into software development workflows. The role requires strong system-level thinking, cloud-native engineering expertise, and effective collaboration with technical and product stakeholders.

Design, build, and maintain scalable cloud-native backend services and distributed systems using TypeScript, Node.js, and AWS. Architect event-driven APIs and infrastructure, optimize CI/CD pipelines with Jenkins and GitHub Actions, and contribute to Scrum delivery. Drive architectural decisions, ensure high test coverage, and integrate generative AI tools such as GitHub Copilot and Amazon Q into engineering workflows. Collaborate with technical and product stakeholders to deliver resilient, high-performance systems.