Top Tech Jobs & Startup Jobs

Designs and implements end-to-end features across frontend and backend systems. Builds secure, scalable, performant web applications and services, writes automated tests, translates customer requirements into deliverable plans, and manages features from testing through production. Collaborates with backend, frontend, and full-stack engineers while contributing to client-facing banking technology projects.

Build and maintain infrastructure management tooling, deployment automation, observability and orchestration systems for highly available banking software. Develop tools supporting data and streaming platforms, disaster recovery, backups, redundancy, and infrastructure integrations. The role requires production-ready Python or Go development, cloud platform familiarity, CI/CD experience, and onsite work in Lisbon four days per week.

Senior Site Reliability Engineer responsible for maintaining and improving production infrastructure supporting cloud-based core banking and payments platforms. Duties include designing resilient systems, disaster recovery, backups, redundancy, capacity planning, automation, observability, on-call support, production maintenance, documentation, and reliability-focused product development. The role also involves mentoring engineers, collaborating with product teams and customers, and managing complex fleet operations across SaaS environments.

Build and maintain reliable infrastructure management tooling for cloud-based banking software. Responsibilities include automating deployments, developing observability and orchestration tools, supporting scalable and highly available services, contributing to disaster recovery and backup strategies, and improving code quality and engineering processes. The role uses Python or Golang and involves cloud platforms, databases, event streaming, container orchestration, and CI/CD systems.

Build and maintain infrastructure management tooling, deployment automation, observability and orchestration systems for cloud-native banking software. Support scalable, highly available services; contribute to disaster recovery, backup, redundancy, CI/CD, and infrastructure integrations. The role requires production infrastructure development using Python or Golang, familiarity with cloud platforms and infrastructure technologies, and four days per week onsite in Lisbon.

Build and scale Thought Machine’s cloud-agnostic infrastructure platform for global banking software. Responsibilities include developing orchestration and automation tools, designing resilient architectures and disaster recovery systems, improving observability, and optimizing databases and event-streaming platforms. The role requires production infrastructure engineering with Python or Golang, Kubernetes and Docker expertise, and experience extending tools such as Prometheus, OpenTelemetry, and Grafana.

Lead an AI platform engineering team that builds cloud-native tools and platforms enabling employees to use AI safely and productively. Manage engineers, own technical deliverables and roadmap strategy, conduct design reviews and code reviews, perform hands-on development, measure platform impact, and support career development, recruitment, and engineering-wide initiatives.

The Client Success Director ensures client success by overseeing the adoption and scaling of the banking platform, coordinating delivery and support teams, and managing client relationships for optimal outcomes and satisfaction.

Lead new business sales across AMER for Tier 2-5, regional, and challenger banks. Own prospecting, stakeholder mapping, and pipeline management to exceed software licensing and services targets. Develop market expansion plans, craft high-impact proposals, and coordinate with sales engineering, delivery, and marketing to accelerate deals and build regional brand presence.

Lead client-facing architecture for Vault-based core banking and payments transformations across presales and delivery. Define target architectures, design end-to-end solutions, advise on migration and non-functional requirements, create AI agents to accelerate delivery, train client teams, produce architectural collateral, and feed product roadmap insights to Thought Machine.