Senior Backend Engineer ((Python / Go)
RapidFort, Inc., Remote
The role
Overview
We are seeking a skilled and passionate Senior Backend Engineer to join our team, focusing on the design, development, and maintenance of high-performance, scalable microservices. The ideal candidate will have strong expertise in Go (Golang), and a deep understanding of distributed systems architecture.
Essential Qualifications
Technical Skills
Skill Category Requirement Proficiency Level
Programming Languages Python (Deep expertise with frameworks like FastAPI, Flask, or Django) Advanced
Programming Languages Go (Golang) (Experience building robust, high-concurrency microservices) Expert
Microservices / Architecture Designing, developing, and deploying RESTful APIs Expert
Security Keycloak, API authentication, JWT Advanced
Databases Realtime analytics (Clickhouse) Advanced
Databases Relational databases (MySQL) including complex query optimization Advanced
Databases NoSQL databases (Redis) Advanced
Containerization / Orchestration Kubernetes for deployment and scaling Advanced
Containerization / Orchestration Docker container build Advanced
Testing Writing comprehensive unit, integration, and end-to-end tests Advanced
What you will do
- Design, implement, and maintain scalable and reliable backend microservices using Go
- Collaborate with product managers and front-end teams to define API specifications and integration points
- Ensure services are deployed, monitored, and scaled efficiently in a Kubernetes environment
- Participate in code reviews, design discussions, and planning sessions
- Troubleshoot and resolve complex production issues, ensuring high availability and performance
- Drive continuous improvement in development processes, tooling, and infrastructure
Must-have skills for a Senior Backend / Microservices Engineer (owner-level)
What you need
- 7+ years of professional experience in backend software development, with a significant focus on building and operating microservices in a production environment.
- Proven ability to work with and contribute to large-scale, distributed systems.
- Experience with cloud platforms (AWS, Azure, or GCP) for deployment, monitoring, and scaling.
Desired Qualifications