dataplor hiring Lead Full-Stack Ruby Engineer - Infrastructure and DevOps • Remote (Work from Home) | Himalayas
dataplorDA

Lead Full-Stack Ruby Engineer - Infrastructure and DevOps

Dataplor is a global location intelligence provider, offering accurate and dynamically updated Point of Interest (POI) data for businesses to make informed decisions and identify growth opportunities worldwide.

dataplor

Employee count: 51-200

United States only

About Us

Our mission at dataplor is to comprehensively map and understand every commercial location on the planet. We provide insights on every merchant in the world, covering 350M+ businesses and places, empowering organizations with high-quality location intelligence to drive strategic decision-making. After more than doubling our revenue last year, we closed a Series B round of funding. We are excited to grow the team and take this rocketship to the next level!

Role Overview

We’re hiring a Lead Full Stack Engineer with a strong Ruby background and solid DevOps experience to help us build and evolve the internal platform that powers our growing product development team. This role sits on our internal platform team, focused on developer velocity, infrastructure reliability, system monitoring and insights, and operational excellence. As a technical leader on a small team (2–3 engineers), you’ll work closely with our Engineering Manager to design systems, lead implementation, and mentor teammates. You’ll also collaborate with product engineers across the company to deliver tools, infrastructure, and services that enable fast, safe, and scalable development.

Key Responsibilities

  • Design and build internal tools, systems, and services using Ruby, React JS, and PostgreSQL.
  • Lead architecture and implementation of core platform capabilities—from CI/CD improvements to observability and deploy tooling.
  • Help manage and evolve our Heroku and AWS infrastructures.
  • Own reliability and performance of shared systems, including background jobs, secrets management, job queues, and CI pipelines.
  • Work closely with product teams to improve developer workflows, reduce operational friction, and build tools for delivery, monitoring, and debugging.
  • Partner with your Engineering Manager to guide technical direction, set best practices, and grow team skills.
  • Act as a mentor and technical resource for other engineers across the org.
  • Participate in our on-call rotation and help build a culture of reliability and ownership.

Required Qualifications

  • 5+ years of professional software engineering experience, ideally in a startup or high-growth environment.
  • Strong experience building and maintaining Ruby applications in production.
  • Deep familiarity with PostgreSQL—data modeling, query performance, and migrations.
  • Experience with AWS infrastructure, CI/CD systems, and cloud-native tooling.
  • Solid knowledge of DevOps principles: automation, observability, scaling, and release management.
  • Strong communication skills and ability to collaborate with product engineers, EMs, and leadership.
  • Passion for building tools that make other engineers more effective and productive.

Benefits

  • Competitive salary and benefits package
  • Comprehensive health, dental, and vision insurance
  • Unlimited PTO and paid holidays
  • Monthly Uber Eats Credit
  • Industrious or similar co-working membership
  • Semi annual team retreats and ad hoc meetups
  • A collaborative and supportive work environment

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior
Manager

Location requirements

Hiring timezones

United States +/- 0 hours

About dataplor

Learn more about dataplor and their company culture.

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We are dataplor, and we're driven by the mission to illuminate global market opportunities. We recognized early on that the global location data landscape was fraught with challenges – data was not only difficult to access but also plagued by inaccuracies. This reality created significant blind spots for businesses, often forcing them to take speculative risks when expanding into new territories. Our core objective is to bridge these critical information gaps. We provide businesses with reliable, comprehensive location intelligence for virtually every public and commercial location worldwide, covering over 250 countries and territories. We aim to make the world feel a little less vast by bringing previously overlooked markets into sharp focus, enabling companies to identify untapped potential and foster stronger connections within the global business community.

Our approach is built on a unique synergy of advanced technology and human expertise. We leverage cutting-edge technologies like artificial intelligence, machine learning, and large language models to gather, process, and analyze vast amounts of geospatial data. This includes everything from geographically tagged information and online feedback to consumer behaviors for every location, brand, or region. However, we understand that technology alone isn't enough to guarantee the accuracy needed for critical business decisions. That's why we also employ a global network of over 100,000 human validators and an in-house international team of data analysts. These experts possess native language proficiency and local expertise, conducting rigorous human reviews, error detection, and deduplication. This meticulous, multi-layered process ensures our datasets are not only comprehensive and dynamically updated in near real-time but also exceptionally accurate. We're passionate about empowering businesses to make data-driven decisions with confidence, whether it's for strengthening investment strategies, reaching new audiences, optimizing site selection, or understanding competitive landscapes. We're committed to privacy-first principles, ensuring no personally identifiable information (PII) is collected or used, adhering to stringent privacy laws like GDPR.

Employee benefits

Learn about the employee benefits and perks provided at dataplor.

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Paid holidays

Employees receive paid holidays.

Unlimited PTO

Dataplor provides unlimited paid time off.

Monthly Uber Eats credit

A monthly credit for Uber Eats is provided.

Co-working membership

Dataplor offers a co-working space membership.

View dataplor's employee benefits
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dataplor

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