Staff Engineer at Latamcent

About the Role We are hiring a Staff Engineer to own the architecture, delivery, and long-term operation of high-impact backend systems. This role sits at the intersection of backend engineering and product analytics infrastructure; equally responsible for the reliability of production systems and the trustworthiness of the data those systems generate. You will set technical direction, define engineering standards, and lead 1–3 engineers while staying hands-on in the codebase. The ideal candidate has shipped backend systems at scale for consumer or product-led companies and has also owned analytics infrastructure; from event taxonomy and data governance to experimentation and attribution tooling. Success in the first 3–6 months looks like: - Conduct a clear-eyed audit of existing backend systems and analytics infrastructure, identifying the highest-priority gaps - Establish or improve engineering standards, automated testing processes, and KPI tracking across reliability, data quality, and development speed - Take ownership of analytics infrastructure — cleaning up event taxonomy, ensuring reconciliation across tools, and making data trustworthy for the broader team - Set technical direction for at least one meaningful backend or data initiative and see it through to production - Build a strong working relationship with product and engineering stakeholders through clear, proactive communication Key Responsibilities - Own the delivery and long-term operation of high-impact backend systems, from architecture to production - Set and evolve backend engineering standards, processes, and technical best practices - Define and actively use KPIs covering system reliability, development speed, data quality, and error rates - Make system-level architectural decisions and clearly communicate tradeoffs to engineering and product stakeholders - Own analytics infrastructure — event taxonomy, governance, and reconciliation across tools like Amplitude and Appsflyer - Ship and maintain experimentation infrastructure including A/B testing, variant assignment, SRM detection, and success metric definition - Debug and maintain user and identity systems across login, logout, multi-device, and reinstall scenarios - Establish automated testing and validation processes that reduce regressions and operational risk - Introduce AI-assisted development workflows where they add leverage, with strong validation and safety mechanisms - Lead and upskill 1–3 engineers, setting technical direction and building engineering capability across the team Requirements - 5+ years building and maintaining backend systems on AWS - Demonstrated experience delivering high-impact backend projects that operate successfully in production - Strong experience building backend services for mobile applications (iOS and Android) - Owned analytics infrastructure at a consumer or product-led company — has taken tools like Amplitude, Mixpanel, or Segment from messy to trustworthy - Experience with RevenueCat or similar subscription tools and Appsflyer or similar attribution platforms - Has shipped experimentation infrastructure including A/B test data quality, variant assignment, and SRM detection - Backend engineering depth on user and identity systems in Python or Node.js production environments - SQL-fluent at the modeling level — has designed event schemas or metrics layers that others relied on - Solid experience with Node.js and TypeScript - Experience with Docker and containerized deployments - Strong understanding of RESTful API design and implementation - Has led 1–3 engineers, set technical direction, and upskilled non-data engineers - Strong sense of ownership, strategic thinking, and a solution-first mindset Preferred Qualifications - Hands-on experience with AI/ML or LLM-based products - Experience with NestJS framework - Python experience, particularly with Apache Airflow or similar ETL tools - Knowledge of Firebase (Authentication, Firestore, Remote Config) - Experience with Infrastructure-as-Code tools such as Pulumi or Terraform - Familiarity with observability tools such as OpenTelemetry or Signoz - Experience with ElasticSearch or similar search technologies - Experience with video streaming technologies (HLS, MediaConvert) Tech Stack - Backend: Node.js with NestJS and Restify, Python 3.9 for ETL, Apache Airflow, Sequelize ORM - Frontend: Next.js 15, React 18/19, TypeScript, Tailwind CSS - Infrastructure: AWS (ECS Fargate, S3, RDS, ElastiCache, SQS, CloudFront, MediaConvert), Docker, Pulumi, GitHub Actions, Vercel - Data & Storage: MySQL, PostgreSQL, Redis, ElasticSearch, Firebase Firestore, AWS S3, Cloudflare R2 - Observability: Signoz with OpenTelemetry, Winston, Slack webhooks Compensation & Logistics - Fully remote role - Unlimited PTO