Senior Full Stack & Cloud Engineer

Interested in this role?

Altura is looking for a Senior Full Stack & Cloud Engineer to develop and deploy a multi-tenant SaaS analytics platform.

You will be responsible for application development, backend integrations, cloud infrastructure, and production deployment, working with our technical leadership and AI/Data Engineer.

• Develop the application using React, Type Script, and Node.js or Python.
• Implement authentication, RBAC, and secure multi-tenant access.
• Build interactive KPI dashboards and analytical visualizations.
• Integrate conversational AI chat and governed analytical APIs.
• Develop real-time alerts and notifications.
• Build forecasting and scenario analysis interfaces.
• Implement PDF/CSV exports.
• Deploy GCP infrastructure using Terraform.
• Configure Cloud Run, Cloud SQL, Redis, networking, IAM, and Secret Manager.
• Implement CI/CD pipelines across development, staging, and production.
• Configure monitoring, security controls, backups, and recovery.
• Deliver tested and documented production-ready code.

• 5+ years of professional full-stack development experience.
• Strong React, Type Script, Node.js or Python.
• Experience building and deploying production SaaS platforms.
• REST APIs, SQL, Web Sockets, and visualization libraries.
• Experience implementing authentication, RBAC, and tenant isolation.
• Practical experience with GCP, Terraform, Docker, and CI/CD.
• Strong understanding of cloud security and networking.
• Professional English communication skills.
• Ability to independently own application and cloud deliverables.

• Duration: 12 weeks.
• Total compensation: USD 3,000.
• Payment schedule: 20% / 30% / 30% / 20%, upon accepted milestones.
• Remote and flexible schedule, with agreed coordination meetings.
• Complete source code, automated tests, documentation, and handover required.
• Contract scope and technical acceptance criteria agreed before the start.

Altura is an AI technology partner for companies that want technology to work inside their operation, not alongside it.

We start by understanding the business. Before proposing anything, we map how the company actually runs: its processes, its systems, its data, and where the operational load sits. The goal is to find where technology has real leverage, and where it doesn't.

We build the roadmap. Opportunities are prioritized by return, effort and dependencies, each one with defined scope, estimated investment, and the indicator it is meant to move. The company ends up knowing what to do first, what it costs, and how success will be measured.

We implement. Custom software when existing tools don't cover what the operation needs. Automations that connect systems and remove manual work. AI agents that analyze information, decide and execute tasks within a process. And the infrastructure that makes all of it run reliably. We are not tied to a predefined solution — we choose the technology each business priority calls for.

We stay after go-live. Solutions reach production and keep being improved. As the operation evolves, we identify what comes next.

One team, from strategy through implementation and beyond. That is the whole point: technology projects usually break at the handoff, so we don't hand off.