Staff Software Engineer – Payments, Commerce Platform

🕒 Novembro 16, 2025

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HighLevel

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2018

☁️ SaaS

🤝 B2B

💰 Series A em 2021-11

SaaS • Marketing • B2B

HighLevel é uma plataforma all-in-one de marketing e vendas criada para ajudar empresas a crescer e ter sucesso. A solução consolida diversas ferramentas de marketing em um único lugar, oferecendo recursos como captura de leads por meio de landing pages, pesquisas, formulários e calendários, além de ferramentas de nutrição de leads via mensagens automatizadas em múltiplos canais, incluindo telefone, SMS, e-mail e redes sociais. A HighLevel oferece soluções personalizáveis, como agendamento online de compromissos, campanhas de follow-up multicanal e gestão de pipeline. Além disso, as empresas podem criar sites, funis e landing pages com o construtor de páginas intuitivo. A HighLevel permite integração com sistemas existentes via API e oferece uma plataforma de membros para construção de comunidade e gestão de cursos. Voltada para profissionais de marketing, a plataforma disponibiliza opções de white label para que as empresas possam aplicar sua própria marca ao software. Com uma abordagem de desenvolvimento orientada pela comunidade e suporte premiado, a HighLevel tem como foco capacitar as empresas a otimizar suas operações e aumentar a eficiência de marketing.

Descrição

• Architect and ship multi‑tenant, planet‑scale services (checkout, subscriptions, payments orchestration, invoicing, tax hooks) with clear domain boundaries (DDD) and hard SLOs. • Be the custodian of API & schema design: own protobuf/ConnectRPC conventions, versioning policy, deprecation playbooks, and Buf breaking‑change checks—so our contracts stand the test of time. • Guarantee resilience & availability of core payment paths: timeouts, retries with jitter, circuit breakers, idempotency keys, outbox/Saga patterns, hedged requests, and graceful degradation. • Ensure complete auditability: append‑only double‑entry ledger, immutable event streams, trace‑linked entities (OTel trace/span IDs), tamper‑evident trails, and reconciliations that tie out to the cent. • Own error boundaries end‑to‑end: enumerate failure domains (PSP, network, data, concurrency, quota, browser, device); design uniform error contracts; implement compensations/backfills and automated replay. • Keep track of every deployed thing: services, workers, triggers, cron, subscriptions—own the service catalog and scorecards (owners, SLOs, runbooks, PDBs, HPA/VPA, budgets, quotas, timeouts). • Configuration & limits stewardship: enforce sane defaults across GKE, Pub/Sub, Redis, Firestore/Mongo, ClickHouse—connection pools, ack deadlines, batch sizes, TTLs, memory/FD limits, and GCP quotas. • Observability as a product: pervasive OpenTelemetry, RED/USE metrics, exemplars, trace sampling, SLO dashboards, and alerting that wakes humans only for user‑impacting issues. • Production excellence: canary/blue‑green rollouts, automated rollbacks, chaos drills, DR playbooks (RPO/RTO), multi‑region failover strategies, and incident command on rotation. • Security & compliance by design: PCI scope minimization, tokenization/vaulting, secrets/KMS hygiene, data retention/archival, and privacy controls—embed checks in CI/CD. • Developer acceleration: pave golden paths (service templates, ADR/RFC process, linting/formatting, contract tests, ephemeral envs, load/perf harnesses) to make the right thing the easy thing.

🎯 Requisitos

• 10+ years building and operating backend systems (at least 5+ years in Go), with 2–3+ years acting as a Staff/Principal-level IC or Tech Lead for critical paths. • Deep proficiency with protobuf + ConnectRPC/gRPC and API lifecycle management (versioning, compatibility, contract testing, Buf). • Distributed systems fundamentals: idempotency, exactly-once-ish via dedupe/outbox, ordering, consensus basics, backpressure, concurrency control. • Event-driven architectures on GCP (Pub/Sub), plus Redis for fast paths; strong schema design in MongoDB/Firestore and analytics/reporting patterns on ClickHouse. • Kubernetes/GKE operations at scale: autoscaling (HPA/VPA), PDBs, resource limits/requests, multi-region topologies, CI/CD, canary/blue-green. • Reliability engineering: SLIs/SLOs, error budgets, capacity & load testing, incident management, DR/BCP. • Security & compliance: secrets/KMS best practices, PCI basics (scope reduction, key rotation), and data governance (retention/archival). • Testing discipline: unit, integration, contract, property-based, performance; test data management and deterministic environments. • Frontend collaboration: solid understanding of Vue.js + TanStack Query to shape clean API surfaces and performance budgets across the boundary. • Exceptional technical writing & communication: design docs, ADRs/RFCs, postmortems, and stakeholder updates.