Job Title: Senior Microservice Backend Engineer

Company Name: RapidFort, Inc.

Job Url: https://boards.greenhouse.io/embed/job_app?token=4110195009&utm_source=jobright&jr_id=6979cb6f0791bc1d72308f01

Job Description: Microservice Backend Engineering (Python/Go)
at RapidFort, Inc. (View all jobs)
Remote
Microservice Backend Engineer (Python/Go)

Citizenship: U.S. citizenship required due to federal contract requirements

(No active security clearance needed at time of hire)

Overview
We are seeking a skilled and passionate 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 both Python and 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)

Expert

 	
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

 	
Relational databases (MySQL) including complex query optimization.

Advanced

 	
NoSQL databases (Redis).

Advanced

Containerization/Orchestration

Kubernetes for deployment and scaling.

Advanced

Testing

Writing comprehensive unit, integration, and end-to-end tests.

Advanced

Core Experience
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
Process & Tools
CI/CD: Experience setting up and maintaining automated deployment pipelines

Observability: Proficiency with monitoring and logging tools

Source Control: Expertise in Git and collaborative workflows

Architecture & Design
Familiarity with event-driven architectures and streaming data processing.

Experience with security best practices in API design (e.g., OAuth 2.0, JWT, input validation).

Knowledge of performance tuning and optimization techniques for both Python and Go applications.

Key Responsibilities
Design, implement, and maintain scalable and reliable backend microservices using Python and 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)
1) Production microservices ownership (not just “worked on”)
Has owned at least 1–2 services end-to-end (design → build → deploy → on-call → incident fixes → scaling)

Comfortable with service boundaries, APIs, versioning, backward compatibility, SLAs/SLOs

2) System design & architecture (senior bar)
Can design systems with tradeoffs: latency, throughput, cost, reliability

Patterns: idempotency, retries, timeouts, circuit breakers, async workflows, queues, eventual consistency

Data design: relational vs NoSQL, caching, indexing, migrations, multi-tenant considerations (if relevant)

3) Strong debugging & problem-solving in real-world scenarios
Can take an ambiguous production issue and drive it to resolution

Uses a structured approach: reproduce → isolate → instrument → hypothesis → validate → fix → prevent

4) Linux fundamentals (practical, daily-use)
Confident with commands/tools like: ps/top/htop, journalctl, systemctl, netstat/ss, lsof, curl, grep/sed/awk, strace (bonus), log parsing

Understands networking basics (DNS, TLS, ports, timeouts)

5) Docker + container runtime competence
Can explain Dockerfiles, layers, multi-stage builds, image size/security

Debug containers: env vars, volumes, entrypoints, networking, resource limits

6) Observability / logging / diagnostics 
Strong in structured logging, correlation IDs, trace context

Metrics + tracing + logs as a system

Datadog experience is a must-have , or a very credible equivalent (Prometheus/Grafana + OpenTelemetry + ELK) with proof they can ramp fast

7) Platform maturity 
CI/CD, release processes, rollback strategies

Basic security and reliability hygiene (secrets mgmt, least privilege, rate limiting)

Coding in Python - senior architecture + prod ops + observability.

Salary: $120,000 to $200,000 Per Year