Senior Software Engineer - API-First, Distributed Systems

Jobtailor; California (MO); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor is seeking engineers to scope, design and build scalable distributed systems with API-first architectures. You will collaborate across teams through the full software lifecycle, and participate in design sessions and code reviews to elevate engineering quality.

You will design and develop APIs and microservices using GraphQL, gRPC, Java, Python and Kafka, deploy in hybrid cloud environments with Kubernetes and cloud-native tools, and work on end-to-end solutions spanning frontend to

Qualifications

• 4+ years full-stack development experience with client-side and server-side frameworks.
• Experience in API-first engineering, service orchestration and event-driven architectures.
• Experience with GraphQL and gRPC implementations; schema evolution and high-performance API systems.
• Designing and delivering resilient event-driven and messaging-based solutions at scale.

Responsibilities

• Scope, design, and build scalable, resilient distributed systems.
• Engage in cross-functional collaboration throughout the software lifecycle.
• Participate in design sessions and code reviews to elevate engineering quality.
• Develop APIs and microservices using GraphQL, gRPC, Java, Python, Kafka.
• Deploy applications in a hybrid cloud environment with Kubernetes and cloud-native tools.
• Work on end-to-end solutions spanning frontend through API tiers and backend services.

Skills

.NET

Java

C#

Python

Object-oriented design

Tools

GraphQL

gRPC

Kafka

Docker

Kubernetes

MySQL

PostgreSQL

No-SQL Databases

Job description

Jobtailor is seeking engineers to scope, design and build scalable distributed systems with API-first architectures. You will collaborate across teams through the full software lifecycle, and participate in design sessions and code reviews to elevate engineering quality.

You will design and develop APIs and microservices using GraphQL, gRPC, Java, Python and Kafka, deploy in hybrid cloud environments with Kubernetes and cloud-native tools, and work on end-to-end solutions spanning frontend to