Job Title: Software Development Engineer III

Company Name: HighLevel

Job Url: https://jobright.ai/jobs/info/69947973ce78e77b4fd875d0

Job Description: 
HighLevel
· 8 hours ago
Software Development Engineer III - Location

United States

Full-time

Remote

Mid, Senior Level

4+ years exp
98%
STRONG MATCH
100%
Exp. Level
99%
Skill
78%
Industry Exp.
Maximize your interview chances
HighLevel is a cloud-based marketing and sales platform that empowers businesses to enhance their digital presence. They are seeking a Software Development Engineer III who will take ownership of features from backend architecture to frontend delivery, ensuring a seamless experience for users across their platform.
Enterprise Software
E-Commerce
Advertising
Marketing
CRM
E-Commerce Platforms

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Responsibilities
Own feature delivery from concept to production for the Sub-Accounts platform — design APIs, implement backend logic, and build clean, responsive frontend experiences (any modern UI framework; Vue.js experience is a big plus)
Build and evolve highly scalable, performant microservices using Node.js, MongoDB, Redis, and event-driven patterns running on Kubernetes and GCP
Proactively hunt down and fix systemic issues (race conditions, deadlocks, memory leaks, timeouts, data inconsistencies) across the sub-accounts hierarchy and permissions system
Drive performance and cost optimizations — query tuning, intelligent caching, indexing strategies, and GCP cost reduction without sacrificing speed or reliability
Ruthlessly reduce technical debt through refactoring, improving test coverage, and eliminating anti-patterns in both backend and frontend code
Strengthen security at every layer — RBAC/ABAC enforcement, tenant isolation, audit trails, rate limiting, secrets management, and input validation
Improve observability across the stack — meaningful logs, metrics, distributed tracing, and alerts that make incidents easy to debug in real time
Work hand-in-hand with QA from day one: review test cases, give live demos during QA handover, and resolve feedback quickly
Build internal tools, scripts, and automation that accelerate development, testing, and deployment cycles for the entire team
Actively pair with teammates, share knowledge, conduct code reviews, and help unblock others
Participate in on-call rotation and own incident resolution for the sub-accounts services you build

Qualification

Represents the skills you have
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Node.js
MongoDB
Redis
Kubernetes
Cloud platforms
Microservices
Frontend frameworks
Clean code
Performance optimization
Team collaboration
Required
4–7 years of hands-on engineering experience with proven exposure to scale (high TPS, large datasets, or complex multi-tenant/multi-account systems)
Expert-level Node.js and a strong habit of writing clean, modular, reusable code
Deep expertise with MongoDB (complex schemas, aggregation framework, indexing, sharding, change streams)
Solid production experience with Redis (caching, rate-limiting, pub/sub, distributed locks, session management)
Real-world experience building and operating microservices on Kubernetes (deployments, services, configmaps, helm, basic troubleshooting)
Strong hands-on experience with any major cloud provider (GCP, AWS, or Azure) – you know how to use managed services for containers, queues, caches, serverless, and databases effectively
Comfortable building responsive, high-quality UIs with any modern frontend framework (Vue.js is a big plus; React or Angular experience works perfectly too)
You've shipped and supported large-scale, mission-critical systems that stayed stable under heavy load
You're passionate about modular architecture, obsess over performance and GCP cost optimization, and can seamlessly jump into the frontend to deliver complete, polished features
Preferred
Experience with AI Tools and contributions to open-source tools, internal platforms or engineering blogs
NestJS or Express.js experience
Elasticsearch for advanced search/filtering use cases