About Avra

Avra is building relational foundation models for enterprise decision-making in Brazil.

Our work focuses on graph-native models for structured high-stakes prediction problems: credit fraud growth monitoring and other decisions where entities cannot be understood in isolation. We model companies people and the relationships between them as evolving networks then adapt those representations to customer-specific prediction tasks that plug into existing decisioning systems.

We work with internationally recognized research advisors and we care about research that becomes useful in production. Our systems are already in production with large enterprise customers supporting high-volume workflows where reliability latency model quality and operational safety all matter.

The Role

Behind Avras Foundation AI sits a critical layer: a data platform that ingests structures and operationalizes messy real-world data into reliable inputs for our models and products.
As a Senior Software Engineer on the Data Platform team youll play a key role in building and operating the systems that power Avras AI infrastructure. Youll work across the entire stack designing and developing data products APIs customer-facing workspaces streaming data systems deployment pipelines and the core services that connect them all.

This is a highly cross-functional role with significant ownership. Youll collaborate closely with product research and product engineering teams to transform complex data challenges into scalable reliable systems that directly impact our customers and our models.

Responsibilities

• Data Products & Platform Services. Design build and maintain the core services that power Avras data platform including APIs customer-facing workspaces ingestion systems and internal tooling used across the company.

• Distributed Systems & Integrations. Develop and operate distributed systems that connect data infrastructure and product experiences. Build reliable integrations between internal services third-party systems and AI-powered applications.

• Real-World Data Processing. Design systems that ingest process and operationalize messy incomplete and evolving real-world data. Handle schema evolution edge cases operational failures and data quality challenges with strong engineering judgment.

• Cloud Infrastructure & Deployment. Work within cloud-native environments (GCP/AWS) building and operating services deployment pipelines messaging systems storage layers and infrastructure automation.

• Developer Experience & Platform Improvement. Continuously improve the platform by reducing operational complexity increasing developer productivity strengthening observability and simplifying system architecture.

• Cross-Functional Collaboration. Partner closely with AI Product and Infrastructure teams to build platform capabilities that directly power customer-facing products and Foundation AI systems.

Qualifications

• Experience - 5 years of experience building and operating production software systems. Experience working on platform backend infrastructure or data-intensive systems is highly valued.

• Technical Proficiency -

  • Strong backend engineering experience with Go Python Rust or similar languages

  • Strong understanding of distributed systems APIs cloud infrastructure data-intensive applications streaming and production reliability

• Ownership - Demonstrated ability to take ownership of ambiguous problems drive initiatives from design through production and balance short-term delivery with long-term maintainability.

• Problem Solving - Strong analytical and debugging skills with the ability to navigate complex systems identify root causes and deliver pragmatic solutions.

You Stand Out If

• You have significant experience building operating and improving production software systems. You understand that reliability observability and maintainability matter as much as shipping new features.

• You enjoy working across multiple domains from backend services and APIs to data systems and infrastructure. You can quickly navigate unfamiliar systems and contribute wherever the business needs you most.

• You write clean maintainable code perform thoughtful code reviews and consistently raise the engineering quality bar for the teams around you.

• Experience with cloud platforms (GCP or AWS) event-driven architectures streaming systems APIs distributed systems CI/CD pipelines infrastructure automation or large-scale data platforms is highly valued.

• Experience building systems that support machine learning AI products data processing workloads or large-scale data infrastructure is a strong advantage.
  

What We Offer

• Competitive Compensation - Attractive salary and equity participation

• Ownership & Impact - Direct influence on the foundation of Avras data platform and its evolution

• Technical Environment - Work on real-world data problems involving complex ingestion reliability and large-scale systems

• Lean High-Quality Team - Work closely with experienced engineers and founders in a high-context environment

• Flexible Culture - Remote-first (Brazil) with flexible time off and a strong focus on autonomy

If youre excited about building production systems solving difficult engineering problems and creating the infrastructure that powers next-generation AI products wed love to hear from you.

Required Experience:

Senior IC