Enakl builds the digital infrastructure for shared commuting in African cities. Our platform handles 30K+ monthly bookings across B2B and consumer segments, with clear trajectory toward multi-tenant SaaS architecture.

We're hiring a senior cloud & DevOps engineer to own our AWS infrastructure and DevOps practices as we scale toward multi-tenant SaaS. You'll inherit a Terraform foundation and CI/CD pipelines, then evolve them toward enterprise-grade, cost-optimized, secure deployments. ### Current Environment - Live PostgreSQL production database serving operational platform - NestJS/TypeScript backend - Small experienced engineering team (you'll be the data specialist) - Analytics currently ad-hoc – you'll formalize and scale this - No existing data pipelines or warehouse infrastructure ### Initial Focus – Database & Backend Data Layer - Optimize PostgreSQL queries and database performance for analytics workloads - Design efficient data models and indexes for reporting - Build aggregation layers and database views in our NestJS backend - Drive and implement solutions to support and later scale complex reporting ### Evolution – Data Infrastructure - Implement ETL pipelines (dbt, custom scripts) for data transformation - Set up data warehouse patterns using PostgreSQL + S3 - Build reporting APIs and dashboard feeds - Establish data quality monitoring and validation ### Long-term – Analytics Platform - Prepare architecture for multi-tenant analytics - Enable real-time analytics capabilities - Lay groundwork for AI/ML integrations and optimization algorithms

We're a lean, senior team building production systems that scale. You'll have end-to-end ownership of our data domain — from query optimization to analytics architecture. You'll thrive if you value: - Database-first thinking – making queries, models, and indexes rock-solid - Backend integration – working closely with our NestJS API - Incremental building – evolving step by step (queries → pipelines → platforms) - Data contracts & quality – treating SQL and models with the same rigor as code

### Required - 4-6 years in data engineering or backend data optimization - Expert relational DB skills in Postgres or similar (complex queries, indexing, performance tuning) - Strong SQL and database design fundamentals - Experience integrating with backend services (Node.js/TypeScript or similar) - Solid software engineering practices (clean code, testing, version control) ### Strong Plus - Experience with dbt or similar transformation tools - ORM experience (TypeORM or equivalent) - AWS data services (RDS, S3, Lambda, Redshift...) - Multi-tenant data architecture experience

- Own the data foundation of a live mobility platform serving 30K+ monthly bookings - Evolve from database optimization → data pipelines → analytics platform - Join a senior engineering team that values autonomy and engineering craft