Top Tech Jobs & Startup Jobs

Administer and operate Azure infrastructure, including virtual machines, networking, storage, and platform services. Provision, configure, patch, upgrade, and manage resource lifecycles; investigate incidents; monitor reliability and performance; support capacity optimization and cloud architecture standards. Contribute to automation using PowerShell and Azure CLI, maintain runbooks and operational documentation, and collaborate with infrastructure, network, security, database, and application teams.

Automate operational tasks, infrastructure provisioning, service recovery, health checks, validation, capacity monitoring, and remediation. Integrate workflows across ServiceNow, Lansweeper, monitoring, and management platforms while improving infrastructure efficiency, standardization, governance, and proactive incident prevention.

Lead technical direction and architecture for AI-powered products, designing production-scale LLM workflows, RAG pipelines, and agentic features. Develop full-stack applications using Python or Node.js, AWS event-driven architecture, and React. Mentor engineers, promote AI-assisted development across the SDLC, collaborate with platform teams, manage technical risk, and ensure secure, auditable, compliant delivery for regulated financial services.

Gather, analyze, document, and validate requirements for customer-facing web and mobile applications. Create user stories and acceptance criteria, support backlog refinement, prioritization, estimation, and delivery planning, and collaborate with product, UX/UI, development, architecture, and testing teams. Ensure requirements are traceable, consistent, and testable while translating business needs into technical requirements and contributing to continuous process improvement in an Agile environment.

Design, deploy, and optimize machine learning and AI solutions, including fine-tuning open-source and commercial LLMs, implementing RAG, and developing generative AI models. Conduct exploratory data analysis and feature engineering, apply traditional machine learning methods, validate solution quality, collaborate with engineers and stakeholders, and maintain technical documentation for reproducibility and knowledge sharing.

Manage and support private cloud infrastructure, handling incidents, requests, and changes while maintaining platform stability, performance, availability, and reliability. Lead infrastructure lifecycle, obsolescence, refresh, and modernization initiatives. Perform capacity management, performance analysis, troubleshooting, backup and recovery operations, and risk reduction across virtualization, operating system, storage, and data protection environments.

Develop, enhance, and maintain full-stack web applications using C#, .NET, ASP.NET MVC, REST APIs, Azure, and on-premises technologies. Responsibilities include database integration, technical design, testing, code reviews, troubleshooting, CI/CD, modernization, and collaboration with cross-functional teams. The role also provides technical support and mentorship while promoting secure, scalable, maintainable software engineering practices.

Designs and governs enterprise integration architectures using the MuleSoft Anypoint Platform. Translates business and technical requirements into scalable APIs, integration patterns, data flows, and technical designs. Establishes architecture standards, reviews code and integrations, assesses security, performance, reliability, and maintainability, and supports planning and risk management. Coaches MuleSoft developers, leads architecture reviews, and documents integration decisions and technical standards.

Administer and maintain Windows and Linux servers, cloud infrastructure (Azure/AWS), and Microsoft 365. Implement monitoring, automation, performance optimization, AI platforms, and intelligent services. Ensure secure, scalable, highly available systems with strong scripting (PowerShell/Bash), IAM, observability, and cybersecurity best practices. Provide hybrid on-site support in Lisbon.

Design, implement, and maintain automated test scripts and test cases (functional, regression, performance). Promote QA best practices, work in Agile teams, participate in ceremonies, and share QA knowledge across squads.