RAPIDFORT · 15 hours ago
Microservice Backend Engineer (Python/Go)
United States
Full-time
Remote
Mid, Senior Level
$120K/yr - $200K/yr
7+ years expRapidFort Inc is seeking a skilled and passionate Backend Engineer to join their 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, and a deep understanding of distributed systems architecture.
Cloud ComputingCyber SecuritySaaSSoftwareInformation TechnologyCloud ManagementCloud Security
No H1B
U.S. Citizen Only
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
Qualification
Required
U.S. citizenship required due to federal contract requirements
Deep expertise in Python with frameworks like FastAPI, Flask, or Django
Expertise in Go (Golang) with experience building robust, high-concurrency microservices
Designing, developing, and deploying RESTful APIs
Keycloak, API authentication, JWT
Realtime analytics (Clickhouse)
Relational databases (MySQL) including complex query optimization
NoSQL databases (Redis)
Kubernetes for deployment and scaling
Writing comprehensive unit, integration, and end-to-end tests
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
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
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)
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
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)
Docker + container runtime competence
Can explain Dockerfiles, layers, multi-stage builds, image size/security
Debug containers: env vars, volumes, entrypoints, networking, resource limits
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
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
Preferred
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
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
Company
RAPIDFORT
RapidFort provides software supply chain security solutions for identifying and reducing vulnerabilities in containerized applications.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$52.75MKey Investors
Blue Cloud Ventures,Forgepoint CapitalAlumni VenturesFelicis
2026-02-03Series A· $42M
2025-06-20Seed
2024-08-27Seed
Leadership Team
Mehran Farimani
Co-Founder and CEO
Rajeev Thakur
Co-Founder & CTO
Recent News
2026-02-06
2026-02-06
vcnewsdaily.com
2026-02-05
Company data provided by crunchbase