3 дня назад
Staff Fullstack Engineer, Data Products (Golang / Node)
152 800 - 259 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Fullstack Engineer, Data Products (Golang / Node) (Data Products/AI): Architecting dashboards, APIs, data marketplaces, and near-real-time knowledge graph integrations that unify GitLab and third-party software development data with an accent on Go, Ruby, Node, analytics platforms, and AI-powered orchestration. Focus on making foundational 0-to-1 architecture decisions, operating multi-tenant systems across SaaS and self-managed deployments, and resolving cross-team dependencies while mentoring engineers.
Location: Remote in Canada or the United States
Salary: $152,800–$259,200 USD base salary per year for United States residents
Company
is a DevSecOps orchestration platform that helps organizations improve developer productivity, operational efficiency, security, compliance, and digital transformation.
What you will do
- Architect ingestion, modeling, and synchronization of and third-party data into a near-real-time knowledge graph.
- Lead integrations with Jira, observability tools, Zendesk, ServiceNow, and other external systems.
- Design the Data Marketplace so customers can consume data through Snowflake, Databricks, and BigQuery.
- Publish observability through OpenTelemetry and develop data-sharing APIs, SDKs, and partner integrations.
- Define operational readiness across .com, Dedicated, and Self-Managed deployments.
- Turn an ambiguous 0-to-1 product space into iterative roadmaps, resolve cross-team dependencies, and mentor engineers.
Requirements
- Staff-level experience owning product or platform systems end to end across multiple engineering and product teams.
- Deep full-stack expertise with Go, Ruby, and Node.
- Experience with analytics and metrics platforms, graph data systems, CDC, or warehouse integrations.
- Hands-on experience building production AI-powered tool orchestration.
- Experience operating multi-tenant systems across SaaS and self-managed deployments.
- Must be eligible to work remotely from Canada or the United States.
Nice to have
- Experience creating organizational leverage by identifying systemic bottlenecks and improving execution velocity.
- Experience with dashboard and reporting frameworks, DORA, VSA, AI Impact, SDLC trends, security, or software quality analytics.
Culture & Benefits
- Remote-first work environment with teams working across countries.
- AI is expected to be used as a daily productivity and innovation multiplier.
- Flexible paid time off and parental leave.
- Equity compensation and an employee stock purchase plan.
- Growth and development fund, health and well-being benefits, and team member resource groups.
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