Senior Go Engineer: Low-Latency APIs & Data Pipelines

EPAM Systems; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems is seeking a Senior Go Engineer to join a high-performing team focused on integration and channels. You will design low-latency REST/gRPC APIs, build robust connectors to external systems, and handle dynamic webhooks while ensuring data resiliency through careful database management.

The role emphasizes production-grade Go code, strong testing practices, and collaboration with architecture to enforce best practices across back-office and automated processing workloads.

Qualifications

• 3+ years of production Go experience focusing on concurrency and performance.
• Experience building low-latency REST/gRPC APIs with Go frameworks.
• Solid experience with external connectors and webhooks.

Responsibilities

• Write production-grade Go code with focus on concurrency and performance.
• Design low-latency APIs to ingest, stream, and parse multi-format files.
• Develop robust connectors to external systems and dynamic webhooks.
• Implement transactional messaging and queuing to guarantee order delivery.
• Manage database connections for data resiliency and consistency.
• Maintain well-tested code with unit tests and mocks.
• Collaborate with Solution Architect on tech choices and best practices.
• Support backend services, automated processing, and back-office interfaces.

Skills

Go

Concurrency

REST APIs

gRPC

Messaging queues

Databases

Testing

Tools

Gin

PostgreSQL

Redis

RabbitMQ

Kafka

AWS SQS

Job description

EPAM Systems is seeking a Senior Go Engineer to join a high-performing team focused on integration and channels. You will design low-latency REST/gRPC APIs, build robust connectors to external systems, and handle dynamic webhooks while ensuring data resiliency through careful database management.

The role emphasizes production-grade Go code, strong testing practices, and collaboration with architecture to enforce best practices across back-office and automated processing workloads.