Principal Backend Engineer: Scalable Real-Time API

Lakefusion; United States; On-site; USD 150,000 - 200,000; Full time

Job summary

A company specializing in Master Data Management is seeking a Principal Backend Engineer to scale their real-time API to enterprise production workloads. The ideal candidate should have over 10 years of backend engineering experience, deep expertise in Python and FastAPI, and a strong track record in building resilient distributed systems. Responsibilities include scaling high-throughput APIs, ensuring fault tolerance, and architecting systems for customer environments. Excellent communication skills are essential for collaboration with global teams.

Qualifications

• 10+ years of backend engineering experience with a strong track record.
• Deep expertise in Python and FastAPI.
• Experience building high-throughput, low-latency distributed systems.
• Proven strong Kubernetes experience.
• Knowledge of resilience and fault tolerance engineering principles.
• Experience with streaming systems like Kafka.
• Ability to ship software in controlled environments.
• Strong observability and debugging instincts.
• Excellent technical communication skills.

Responsibilities

• Scale the real-time API and own its architecture.
• Design systems for resilience and fault tolerance.
• Tune Kubernetes autoscaling for diverse workloads.
• Develop streaming integrations for data syncing.
• Architect systems that function in various customer environments.
• Profile and optimize performance across the stack.
• Lead technical architecture direction.

Skills

Backend engineering experience

Python and FastAPI expertise

Distributed systems development

Kubernetes experience

Resilience and fault tolerance engineering

Streaming systems experience

Observability instincts

Technical communication

Tools

Kubernetes

Kafka

DataBricks

Spark Structured Streaming

Job description

A company specializing in Master Data Management is seeking a Principal Backend Engineer to scale their real-time API to enterprise production workloads. The ideal candidate should have over 10 years of backend engineering experience, deep expertise in Python and FastAPI, and a strong track record in building resilient distributed systems. Responsibilities include scaling high-throughput APIs, ensuring fault tolerance, and architecting systems for customer environments. Excellent communication skills are essential for collaboration with global teams.