Avra - Staff Software Engineer
Requirements
• 8+ years of software engineering experience, including significant ownership of production systems • Experience operating at staff, principal, tech lead, or equivalent senior IC level • Strong backend engineering experience with Go, Python, Rust, or similar languages • Strong understanding of distributed systems, APIs, cloud infrastructure, data-intensive applications, and production reliability • Experience designing systems that cross team boundaries and remain maintainable as teams and products grow • Comfort with large datasets, asynchronous processing, queues, batch jobs, object storage, and operational constraints • Ability to reason clearly about tradeoffs: simplicity vs. flexibility, velocity vs. reliability, abstraction vs. duplication, build vs. buy • Strong code review instincts and a high bar for correctness, readability, testing, and operational safety • Ability to mentor other engineers without relying on formal authority • Clear written and verbal communication, especially around technical decisions, risks, and tradeoffs • You stand out if • You have built infrastructure for ML platforms, data platforms, model serving, experimentation, or decisioning systems • You have worked with Kubernetes, Ray, GCP, AWS, BigQuery, Dagster, dbt, Lance, or similar systems • You have experience with model registries, batch inference, online inference, feature pipelines, or customer-specific ML deployments • You have worked in environments with reliability, security, auditability, or compliance requirements • You have written or maintained systems in Go, Python, Rust, or TypeScript at production scale • You have helped teams migrate from ad hoc systems to clearer platform abstractions • You can debug across layers: product behavior, API, database, queue, infrastructure, observability, data pipeline, and model output • You have worked closely with data scientists, ML researchers, data engineers, or enterprise customers • You care about building systems that improve real business decisions, not just systems that look clean in isolation • 8+ years of professional software engineering experience • Strong written English • Experience working in remote or distributed teams • Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field, or equivalent practical experience
Responsibilities
• Platform Architecture & Leadership: Shape and advance the architecture of our full-stack platform, ensuring it remains scalable, maintainable, and strategically aligned. • Platform Architecture & Leadership: • Technical Vision: Work alongside founders and engineering leaders to establish organizational standards for system design, technology choices, and development practices. • Technical Vision: • Cloud Infrastructure at Scale: Design and manage complex components in our multi-cloud environment (AWS and GCP), prioritizing reliability, observability, and cost effectiveness. • Cloud Infrastructure at Scale: • Cross-Functional Influence: Serve as the technical link among data engineers, data scientists, ML researchers, and product teams, transforming complex requirements into robust, integrated solutions. • Cross-Functional Influence: • Engineering Excellence: Lead the implementation of CI/CD, define testing strategies, set code review standards, and establish performance benchmarks for all teams. • Engineering Excellence: • Mentorship & Growth: Guide senior and mid-level engineers through mentorship and technical reviews, actively contributing to organizational engineering growth. • Mentorship & Growth: • You Stand Out If • You operate fluidly at both architectural and code levels—equally skilled at whiteboarding distributed systems and reviewing code. • You have expertise in modern front-end frameworks (React) and backend technologies (Go, Python, Rust) and have led teams deploying these technologies at scale. • You possess a strong history of successfully delivering complex, cross-team technical projects from conception to production. • You are experienced with cloud-native infrastructure, containerization (Docker, Kubernetes), and have strong opinions on best practices. • You lead with humility and clarity, exerting influence without authority and uplifting those around you. • You thrive on deep technological challenges and are driven by building systems that inform enterprise-scale decisions.
Benefits
• Competitive Compensation: Attractive salary, equity options, and a fully transparent compensation policy. • Direct Impact: Collaborate directly with founders to define the technical future of a groundbreaking deep tech startup advancing AI-driven decision-making in Latin America. • Direct Impact: • Challenging Environment: Solve complex, impactful technical challenges and help build the resilient infrastructure that supports major enterprise decisions. • Challenging Environment: • Flexible Work Culture: Enjoy a fully remote setup with optional office access in Sao Paulo, unlimited vacation, and comprehensive benefits including a national health plan and generous parental leave. • Flexible Work Culture: • If you’re an experienced engineer eager to lead at the highest level and help redefine large-scale data intelligence, we want to meet you. Apply today to shape the future of Avra.
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