Senior Software Engineer, Email Platform

About the Role:

The traditional model of siloed product managers, designers and engineers is too slow for AI-native development. At HighLevel, every engineer owns a product outcome end to end, from idea to prototype to production to scale. You will operate as a Team of One. With AI tooling and strong engineering infrastructure, one engineer can now build what used to take a whole squad. You won't be implementing tickets. You'll own the product.

Responsibilities

• Feature & 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 & 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 & 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 & 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 tradeoffs 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 & 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 orAWS (Kubernetes, Pub/Sub or SQS, managed databases, IAM).

• Quality & 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 & 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.

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