Senior Backend Engineer

About the Role

Join Ando as a Senior Backend Engineer to architect and build the core of our AI-native workforce infrastructure, focusing on PostgreSQL and Python services on AWS.

Responsibilities

• Design, build, and scale backend services in Python/FastAPI.
• Own REST/OpenAPI contracts and generated clients shared across web and mobile apps.
• Extend AI-assisted features using AWS Bedrock, Claude, and MCP integrations.
• Collaborate with data/ML on forecasting pipelines built with Prophet, Pandas, and NumPy.
• Write and maintain pytest test suites and strengthen CI/CD gates in GitHub Actions.
• Participate in architecture decisions, code review, and mentor other engineers.
• Partner closely with product, mobile, and data teams to ship end-to-end features.
• Design PostgreSQL schemas, indexes, and queries for high-write workloads and own performance troubleshooting.
• Build, operate, and harden AWS infrastructure (Lambda, RDS, App Runner, Bedrock) using Terraform.
• Utilize AI agents (Claude, Bedrock, MCP-based tooling) as a core part of the daily engineering workflow.

Requirements

• 5+ years of professional backend engineering experience, including production Python (FastAPI, Flask, or Django).
• Strong PostgreSQL expertise: Deep, hands-on experience with schema design, indexing, query optimization, and migrations in a production system.
• Solid AWS experience: Real ownership of AWS infrastructure (Lambda, RDS, App Runner), comfortable with IAM, networking, and cost trade-offs, ideally with Terraform.
• Experience designing, versioning, and documenting REST APIs (OpenAPI/Swagger).
• Comfortable with containerized local development (Docker / Docker Compose).
• Startup mindset: Self-starter, comfortable with ambiguity, and able to drive tasks to completion independently.
• Strong instincts for testing, code review, and pragmatic architecture trade-offs.
• Excellent written communication for documentation and asynchronous work.

Nice-to-Haves

• Experience with ML/data tooling (Pandas, NumPy, time-series forecasting) or working alongside data science teams.
• Experience integrating LLM APIs or agentic tooling (Claude, Bedrock, MCP) into production products.
• Familiarity with Next.js/React/TypeScript for cross-stack collaboration.
• Background in workforce management, scheduling, HR tech, or other vertical SaaS.
• Prior experience at an early-stage startup, owning infrastructure and data decisions.
• Experience mentoring engineers or leading technical design.