Top Software Engineer Jobs in Lisbon

Design, implement, and operate scalable, multi-cloud distributed infrastructure and core services (TypeScript, Kotlin, Go). Optimize compute, storage, networking, and observability; support event-driven architectures; own end-to-end deployment and production reliability; implement disaster recovery and business continuity; collaborate with engineering, AI and security researchers to enable high-velocity product development.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Design and develop core backend components for a blockchain network using Rust, ensuring reliability and scalability in production-grade software.

Build and ship native Android features in Kotlin, improve performance and reliability, integrate backend APIs, collaborate with product/design, and implement AI-assisted on-device experiences where valuable.

The Junior Software Developer will collaborate on a cloud-native monitoring stack, developing features, debugging, and representing Canonical at events.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

Join Canonical's OpenStack Engineering team to develop and manage Charmed OpenStack and Ceph, focusing on Python code and infrastructure automation.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.

As a Software Engineer, you will enhance Ubuntu's cloud infrastructure, automate image delivery, and collaborate with cloud giants, delivering high-quality software features.

Develop and maintain system-level Go code, model data, and design database schema for cloud infrastructures. Collaborate with a distributed team to ensure code quality.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

Build and maintain CI/CD systems, developer productivity tools, cloud infrastructure, and release engineering workflows. Automate local development and manual processes, manage infrastructure access, troubleshoot performance and reliability issues, document resolutions, and keep development branches stable. The role also includes infrastructure work across AWS, GCP, and Azure, code reviews, reporting on CI/CD health, and collaboration with engineering teams.

Back End Engineers at Thought Machine develop scalable microservices, write automated tests, manage deployments, and translate customer needs into actionable tasks. They collaborate with other engineering teams to ensure coherent feature additions.

Build and maintain backend platform components for a SaaS transaction monitoring product. Implement orchestration features, large-scale data migrations, and scalable APIs/data pipelines. Participate in scrum teams, drive technical and architectural decisions, write tests, own production systems, and collaborate with ML engineers and data scientists.

Develop, test, integrate, and support robotic controls software for automated lift trucks in an embedded environment. Responsibilities include vehicle control communication, simulation, requirements development, software and electrical architecture, code and design reviews, supplier leadership, manufacturing support, and mentoring entry-level engineers. The role requires C/C++ development, robotics sensors and SLAM experience, embedded control systems, network communications, and MATLAB/Simulink/Stateflow expertise. Occasional travel may be required.

Design and build cloud-native, event-driven backend services in Java. Develop distributed microservices, implement messaging with brokers (Kafka/NSQ/RabbitMQ), participate in code reviews, documentation, and create tools/libraries for the microservices ecosystem.

Build features, prototypes, and demos using modern AI coding tools and agents; iterate prototypes into reliable, scalable production; direct and evaluate AI coding agents; collaborate closely with founders and senior engineers; explore and improve AI development workflows to accelerate product delivery.

Build and architect Base360.ai: design and launch booking, pricing, payments, operations, and AI-powered automation. Integrate platforms (Airbnb, Stripe, Twilio, OpenAI), scale systems internationally, and embed AI workflows to automate operations and optimize revenue.

Develop and maintain automated tests and test frameworks for Veeam products, collaborate with development teams, build and manage test infrastructure, analyze source code and test results, and maintain defect databases.

Design, develop, and maintain scalable, secure backend services using .NET and Azure. Collaborate with cross-functional teams, implement microservices and CI/CD pipelines, participate in code reviews, resolve technical challenges, and follow best practices for performance, reliability, and cloud-native architecture in a hybrid work environment.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

Build, deploy and maintain production infrastructure tooling and automation to support scalable, highly available services; develop observability, orchestration, backup/disaster recovery systems; improve deployment CI/CD and integrations with cloud and third-party infrastructure for customer and internal SRE teams.