Software Engineer - Backend

Lakefusion; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Contractor position in the United Laws

Job summary

Lakefusion is building and scaling a real-time API and backend services that connect enterprise systems using Python microservices and data platforms. You will work on high-throughput, low-latency, reliable deployments across cloud and customer-managed environments.

The role requires strong Python (FastAPI) and .NET/C# experience, Kubernetes, Docker, MongoDB, and a focus on resilience, logging, metrics, and tracing. Remote work is supported from the United States for a contractor role.

Qualifications

• Two+ years building production backend services or microservices.
• Strong Python experience incl. FastAPI, async programming, server tuning, perf profiling.
• Two+ years with modern .NET/C#, REST APIs, DI, EF Core.
• MongoDB data modeling, aggregation, indexing, async drivers.
• Kubernetes and Docker with autoscaling and prod patterns.
• Resilience techniques: timeouts, retries, circuit breakers, idempotency, graceful degradation.
• Design for restricted networks and custom identity, with strong logging/metrics/tracing.

Responsibilities

• Design and operate a Python API on Kubernetes for high-throughput workloads.
• Maintain backend services in .NET and connect with Python services and DBs.
• Ensure resilience against outages, rate limits, and partial failures.
• Configure Kubernetes scaling and production resource behavior.
• Deploy portable systems into customer environments with restricted networking.
• Profile and improve performance across code, connections, caching, and downstream calls.

Skills

Python programming

Logging & monitoring

Communication

Tools

FastAPI

.NET / C#

MongoDB

Kubernetes

Docker

REST APIs

Job description

Role overview

Build and scale a real-time API and backend services that connect enterprise systems with Python microservices and data platforms. The work emphasizes high throughput, low latency, reliability, and deployment across cloud and customer-managed environments where network, identity, and monitoring setups vary.

Responsibilities

• Design and operate a Python API on Kubernetes, tuning it for responsive, high-volume workloads.
• Maintain backend services in .NET and connect them with Python services and document databases.
• Make services resilient to upstream outages, rate limits, retries, and partial failures.
• Configure Kubernetes scaling and resource behavior for production workloads.
• Deploy portable systems into customer environments with restricted networking and customer-controlled identity.
• Profile and improve performance across application code, connections, caching, and downstream calls.

Requirements

• At least two years building production backend services or microservices.
• Strong Python experience, including FastAPI, asynchronous programming, server tuning, and performance profiling.
• At least two years with modern .NET and C#, including REST APIs, dependency injection, and Entity Framework Core.
• MongoDB experience covering data modeling, aggregation, indexing, and asynchronous drivers.
• Kubernetes and Docker experience, including autoscaling and production deployment patterns.
• Knowledge of resilience techniques such as timeouts, retries, circuit breakers, idempotency, and graceful degradation.
• Ability to design for restricted network access and custom identity systems, with strong logging, metrics, tracing, and communication skills.

Nice to have

• Experience with Databricks, Delta Lake, Spark SQL, or MLflow.
• Familiarity with event-driven systems such as Kafka, RabbitMQ, or cloud event services.
• Experience with strict enterprise security requirements, private networking, or both SQL and document data stores.

Benefits and work setup

• Contractor position based in the United States, with remote work.