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).
Apply a strong security and compliance mindset to system design and operational scale
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.
Foster clear communication and thoughtful decision-making across backend, frontend, data, and infrastructure domains.

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.

Benefits

Remote-first company structure
Medical, dental, and vision
401(k)
Mental wellbeing (Talkspace)
Financial wellbeing (LearnLux)
Paid vacation and sick leave
Paid sabbatical after 5 years of service
A supportive, inclusive team culture
Opportunities for continuous learning and growth at a fast-growing startup at the cutting edge intersection of financial wellness and technology

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

backend developmentNode.jsPythoncloud infrastructureGCPAWSinfrastructure-as-codePulumiTerraformdata platforms

Soft Skills

mentoringcommunicationcollaborationleadershipdecision-makingindependenceinfluenceengineering efficiencythoughtful identificationsupporting engineers