Principal / Staff Software Engineer – Backend, MLOps, Cloud Infrastructure

This is a fully remote position, open to applicants in Portugal.

📋 Description

• Spearhead the architectural design, evolution, and scaling of our distributed backend microservices and machine learning platforms.

• Establish, advocate for, and uphold engineering best practices across the organization, which include thorough code reviews, automated testing, design documentation, and security measures.

• Mentor and guide senior engineers, promoting a culture of technical curiosity, ongoing learning, and high execution velocity.

• Design and develop high-performance, resilient, and secure cloud-native solutions using Python and contemporary web application frameworks.

• Architect and enhance data layers, ensuring that database designs (SQL and NoSQL) are optimized for high throughput, low latency, and long-term scalability.

• Lead the strategy for containerization and orchestration utilizing Docker and Kubernetes to ensure effortless deployments and efficient resource use.

• Construct and manage a robust MLOps infrastructure to streamline the entire machine learning lifecycle—from data pipelining and model training to production deployment and monitoring.

• Oversee and secure our AWS cloud infrastructure, optimizing complex networking configurations that include VPCs, DNS, ingress controllers, and service meshes.

• Design end-to-end CI/CD pipelines and implement DevOps automation to support reliable, frictionless daily deployments.

• Foster comprehensive system visibility by implementing thorough observability stacks (Datadog, Prometheus, Grafana, OpenSearch/ELK) and enabling distributed tracing.

⛳️ Requirements

• Core Development: Expertise in Python with extensive experience in creating enterprise-grade backend systems and web applications.

• Distributed Systems: Proven experience in microservices architecture, API design, asynchronous event-driven patterns, and system scalability.

• Cloud & Networking: In-depth, hands-on knowledge of AWS cloud infrastructure, networking setups (VPCs, DNS, Ingress, Service Mesh), and infrastructure as code practices.

• Containers & Orchestration: Advanced proficiency in Docker and Kubernetes for scaling and managing containerized applications.

• Data Management: Strong skills in database design, query optimization, and managing complex data lifecycles.

• MLOps Foundations: Experience in building or integrating machine learning infrastructure, model deployment pipelines, and ML feature stores.

• Observability & DevOps: Advanced knowledge in deploying logging, metrics, and tracing stacks (Datadog, Prometheus, Grafana, ELK) alongside robust CI/CD pipelines.

• Experience: A minimum of 9 years of professional software engineering experience, with at least 3 years in a Staff, Principal, or similar technical leadership role.

• Track Record: Proven success in designing and operating large-scale distributed cloud systems from inception.

• Mindset: A strong sense of ownership, a drive for automation, and the ability to effectively communicate complex technical concepts into actionable tasks for the team.

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience).

🏝️ Benefits

• Competitive salary and equity packages.

• Opportunity to significantly influence the technical direction of an innovative and growing company.

• Flexible remote work options.

• Budget allocated for continuous learning, conferences, and professional development.