Software Development Engineer III (Fullstack)

HighLevel; Texas; Hybrid; USD 150,000 - 210,000; Full time

Job summary

HighLevel is seeking an experienced software engineer to translate business goals into deployable systems and own modules end-to-end. You will design scalable APIs, prototype with AI, and drive measurable outcomes across the platform.

The role emphasizes production readiness, on-call ownership, and security practices, with a focus on building reliable, scalable services in a fast-paced environment.

Qualifications

• 4+ years building and running production systems.
• Shipped back-end services with high throughput (queues, workers, retries).
• Experience with Node.js/TypeScript at scale.
• Frontend experience with Vue.js or React.
• Data modeling for transactional and analytical workloads.

Responsibilities

• Translate business goals into working, deployable systems.
• Own modules end-to-end: design, release, post-launch stability.
• Design APIs for platform integration and scalability.
• Prototype rapidly using AI and validate with user feedback.
• Instrument systems with monitoring and telemetry.

Skills

Node.js (TypeScript)

Vue.js/React

On-call ownership

Tools

Kubernetes

Pub/Sub / SQS

ClickHouse

BigQuery

Snowflake

Job description

The core responsibilities for the job include the following:

Feature and Module Ownership:

• Translate business goals into working, deployable systems.
• Propose architecture, data models, workflows, and implementation plans for your modules, then refine them with tech leads and engineering managers before you build.
• Own modules end-to-end: design, release, post-launch stability, and ongoing improvements.
• Design clean, versioned, well-documented APIs as a core part of every feature, so the platform can be integrated wherever it's needed.

Rapid Prototyping and Iteration:

• Turn ambiguous ideas into working demos quickly, using AI to build and iterate fast.
• Validate through experiments and real user feedback, then iterate to production quality.
• Drive feature attribution and metrics visibility so every release is measurable.

Scale, Performance, and Reliability:

• Build and maintain the email ecosystem, designing for scalability, reliability, and data integrity at 40M+ emails/day.
• Evolve our sending infrastructure, including IP pool management, dedicated IPs and domains, and shared domain pools, to protect sender reputation and maximize inbox placement.
• Build robust error handling: idempotent processing, retries with backoff, and graceful degradation.
• Optimize frontend rendering, component architecture, lazy loading, and state management. Tune backend queries, caching (Redis/CDN), and latency at scale.
• Design data models and analytics on ClickHouse, MongoDB, and Firestore.
• Reason through token consumption, inference cost, and infrastructure tradeoffs when integrating AI and LLMs.

Engineering Quality and Security:

• Practice test-driven development and hold a high bar for automated test coverage.
• Build securely by default: authentication, secrets management, and safe handling of customer data and PII.

Operational Excellence:

• Instrument systems with monitoring and telemetry.
• Build evaluation loops for continuous quality improvement.
• Automate workflows that increase engineering velocity.
• Keep documentation clear and repeatable.

Requirements:

• 4+ years building and running production systems, including owning them when they broke: the on-call, the incident, and the fix.
• Node.js (TypeScript) at scale: You've shipped and operated high-throughput backends (queues, workers, retries, millions of events a day) and built real product UIs in Vue.js (or React).
• Systems that grew: You've designed or re-architected a system for 10x growth and can explain the trade-offs you made in queues, caching, partitioning, and storage.
• Data you can trust: You've built pipelines where losing or duplicating a record wasn't acceptable, using idempotency, deduplication, reconciliation, and error handling that fails loudly, not quietly.
• Data modelling and analytics: You've modelled data for transactional and analytical workloads and made queries fast over billions of rows in ClickHouse (or BigQuery, Snowflake, or similar).
• Cloud in production: You've run services on GCP or AWS (Kubernetes, Pub/Sub or SQS, managed databases, IAM).
• Quality and security by habit: You write tests first or alongside code (TDD) and treat auth, secrets, PII, and abuse prevention as part of the design, not a review step.
• AI in the product: You've shipped at least one AI or LLM-powered feature to real users and can walk through the model choice, prompts, evals, cost, and latency.
• AI in your workflow: You use AI coding tools every day, go from idea to working prototype in hours or days, and still own and stand behind every line that ships.
• Problem solving and ownership: You take vague problems, break them down, and get to a working answer without waiting for a ticket.

Bonus Points:

• Experience with Go (Golang).
• Experience in the email domain: email rendering, templates, SMTP/ESPs, or deliverability (IP warm-up, sender reputation, SPF/DKIM/DMARC).
• Experience with data pipelines, analytics, or telemetry.
• Strong UX and front-end sensibility.
• A portfolio or GitHub showing deployed systems.