Senior Python Engineer (NXJ-87)

📋 Description

• • Own the architectural heartbeat of a high-throughput SaaS platform that processes billions of Amazon Ads events daily. You will lead the strategic migration of mission-critical services from Java (Spring Boot) to modern, asynchronous Python, directly influencing latency, cost-efficiency, and developer velocity.
• • Design, build, and harden stateless FastAPI micro-services that ingest, transform, and serve advertising analytics in real time. Your code will power dashboards used by thousands of e-commerce advertisers to decide where every advertising dollar goes next.
• • Architect and optimize ETL pipelines that move terabytes of raw marketplace data through PostgreSQL transactional stores, ClickHouse analytical clusters, and AWS S3 data lakes. You will profile every stage—Kafka-style queues, async workers, batch loads—and squeeze out double-digit performance gains.
• • Champion event-driven patterns on AWS: SQS for decoupled queues, S3 for immutable storage, Lambda for serverless spikes. You will set SLAs, tune autoscaling policies, and build chaos tests that prove the system stays resilient when traffic jumps 10× during holiday rushes.
• • Collaborate daily with product managers, data scientists, and frontend engineers to translate fuzzy business questions into precise data contracts. You will whiteboard entity models, debate API schemas, and ship incremental features every two weeks without ever freezing the platform.
• • Establish gold-standard observability: Prometheus metrics, OpenTelemetry traces, and structured JSON logs that slice by customer, campaign, and region. When an alert fires at 3 a.m., you can pinpoint the root cause in minutes and roll back via Kubernetes blue-green deployments.
• • Mentor mid-level engineers through pair programming, design reviews, and lunch-and-learn sessions on async Python patterns. Your pull-request comments become internal documentation that raises the bar for the entire backend guild.
• • Contribute to the Java-to-Python migration playbook: automated code transformers, feature toggles, canary strategies, and rollback scripts. You will measure success not only by lines of code deleted but by zero-downtime customer migrations and measurable latency drops.
• • Stay ahead of the curve—evaluate ClickHouse materialized views, test AWS Graviton instances, prototype Rust extensions for hot loops—then bring the team along with concise tech-notes and proof-of-concept demos.
• • Finally, relish full-remote freedom: work from a beach in Bali or a cabin in the Rockies, yet remain tightly synced through async stand-ups, Notion docs, and occasional virtual coffee chats that keep the culture vibrant and human.