Senior Backend Engineer

RAPIDFORT; United States; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

401(k) retirement plan

Health, dental, and vision insurance

PTO and company holidays

Flexible work arrangements

Professional development and training support

Performance-based bonuses

Job summary

RAPIDFORT is looking for a Senior Backend Engineer to develop and maintain high-performance microservices. The ideal candidate will have extensive experience in Go, cloud platforms, and distributed systems architecture. You will collaborate with cross-functional teams to ensure efficient service deployment in a Kubernetes environment.

The position offers a competitive salary between $140,000 and $200,000 per year, along with perks like a 401(k) retirement plan, health insurance, and flexible work arrangements.

Qualifications

• 7+ years of backend software development experience with microservices.
• Expert in Go (Golang) and familiar with Python frameworks.
• Experience in security practices like API authentication.

Responsibilities

• Design and maintain scalable backend microservices using Go.
• Collaborate with teams to define API specifications.
• Troubleshoot production issues, ensuring high availability.

Skills

Go (Golang)

Distributed systems

Cloud platforms (AWS, Azure, GCP)

Microservices architecture

Python

Tools

Kubernetes

Docker

MySQL

Redis

Clickhouse

Job description

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.

Responsibilities

• 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

Requirements

• 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
• Programming Languages: Go (Golang) – expert; Python – deep expertise with frameworks like FastAPI, Flask, or Django
• Microservices / Architecture: Designing, developing, and deploying RESTful APIs
• Security: Keycloak, API authentication, JWT
• Databases: Clickhouse (real-time analytics), MySQL (including complex query optimization), Redis
• Containerization / Orchestration: Kubernetes (deployment and scaling), Docker
• Testing: Writing comprehensive unit, integration, and end-to-end tests

Desirable Qualifications

• CI/CD: Experience setting up and maintaining automated deployment pipelines
• Observability: Proficiency with monitoring and logging tools
• Source Control: Git and collaborative workflows
• Architecture & Design: Familiarity with event-driven architectures, security best practices in API design (OAuth 2.0, JWT, input validation), performance tuning and optimization for Python and Go
• Production microservices ownership: Own at least 1–2 services end-to-end (design → build → deploy → on-call → incident fixes → scaling)
• System design: Ability to design systems with tradeoffs (latency, throughput, cost, reliability); patterns include idempotency, retries, timeouts, circuit breakers, async workflows, queues, eventual consistency

Key Responsibilities (owner-level)

• Production microservices ownership and end-to-end responsibility

Other technical competencies

• Linux fundamentals: essential commands and tools, basic networking concepts
• Docker + container runtime: Dockerfiles, layers, multi-stage builds, image size and security; debugging containers
• Observability / logging / diagnostics: structured logging, correlation IDs, trace context; metrics, tracing, logs as a system; Datadog or credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK)
• Platform maturity: CI/CD, release processes, rollback strategies; basic security and reliability hygiene (secrets management, least privilege, rate limiting)

Compensation & Benefits

$140,000 – $200,000 USD per year (depending on experience and qualifications)

• 401(k) retirement plan
• Health, dental, and vision insurance
• PTO and company holidays
• Flexible work arrangements
• Professional development and training support
• Performance-based bonuses (if applicable)