Staff Software Engineer - Architecture and Cloud Scale
New
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LearnLuxFinancial wellbeing
United States - RemoteFull-TimeStaff
Salary190,000 - 220,000 USD per year
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Job Details
- Required Skills
- AWSNode.jsPythonSQLGCPAirflowNosqlTerraformComplianceSaaSBigQueryDistributed Systems
Requirements
- Staff-level backend engineering experience, defined by scope and impact rather than years.
- Proven experience designing and evolving large-scale, distributed, enterprise SaaS systems.
- Hands-on experience leading or executing major architectural transitions (e.g., multi-tenancy, global scale, platform re-architecture).
- Strong backend development experience with Node.js and/or Python.
- Deep experience with cloud infrastructure, GCP preferred (AWS experience acceptable).
- Experience building systems with security and compliance as first-class concerns in enterprise SaaS and global environments.
- Experience working with data platforms and pipelines, including data warehousing, Airflow, and SQL/NoSQL databases.
- Demonstrated experience using AI-driven or agentic automation to improve engineering systems, workflows, or organizational efficiency (e.g., automating operational processes, developer workflows, infrastructure management, or internal tooling).
- Ability to thoughtfully identify where AI and automation create real leverage and to implement those systems pragmatically in production.
- Ability to operate independently, lead through influence, and collaborate effectively across the stack
- Demonstrated ability to mentor engineers and raise the overall effectiveness of an engineering team.
- Strong communication skills, especially around architectural tradeoffs and technical decision-making.
Responsibilities
- Lead the architectural design and incremental execution of LearnLux’s transition from single-tenancy to multi-tenancy in an enterprise SaaS environment.
- Design and evolve cloud infrastructure for global scale, reliability, and data isolation, primarily on GCP (with AWS experience welcomed).
- Own and improve our infrastructure-as-code approach, using Pulumi (preferred) or Terraform to ensure environments are repeatable, visible, and scalable.
- Connect backend services, infrastructure, and data platforms into a cohesive, well-documented system architecture.
- Partner closely with engineers, product, and data to translate strategic architectural goals into a prioritized and executable roadmap.
- Build and maintain backend services using Node.js and Python, contributing hands-on to critical systems.
- Collaborate with data workflows and platforms, including BigQuery and Airflow, ensuring backend systems scale alongside a growing data platform and data lake.
- Drive engineering efficiency through automation, including the use of AI-driven or agentic systems to improve developer workflows, operations, and internal tooling.
- Mentor and support other engineers, enabling them to ramp quickly and contribute meaningfully.
- Uphold global performance, reliability, and operational excellence, leading by example.
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