
201 - 500 employees
Founded 2013
🍽️ Food & Beverage
🏨 Hospitality
🚘 Automotive
Food & Beverage • Hospitality • Automotive
Uberall is an AI-powered multi-location marketing platform that enables businesses to manage and optimize their online presence across numerous directories and social channels. The platform offers services such as listings management, review management, insights and analytics, and location data management, helping brands enhance their visibility, engage with local customers, and drive more traffic to their points of sale. By centralizing data and automating processes, Uberall helps businesses effectively turn local searches into sales while improving their online reputation and customer interactions.
🕒 September 10
🌐 Brazil, Argentina, +1 more countries – Remote
⏰ Full Time
🟠 Senior
📊 Analytics Engineer
👻 Ghost score 12%
Amazon Redshift
AWS
Groovy
Kotlin
Kubernetes
Microservices
Postgres
Python
React
Scala
Spring
Spring Boot
SpringBoot
SQL
TypeScript
Snowflake
Where this job comes from
Posted on Uberall's careers page, not through a job board
First seen by Remote Rocketship September 10
Still open on Uberall's site. Checked 6 hours ago.

201 - 500 employees
Founded 2013
🍽️ Food & Beverage
🏨 Hospitality
🚘 Automotive
Food & Beverage • Hospitality • Automotive
Uberall is an AI-powered multi-location marketing platform that enables businesses to manage and optimize their online presence across numerous directories and social channels. The platform offers services such as listings management, review management, insights and analytics, and location data management, helping brands enhance their visibility, engage with local customers, and drive more traffic to their points of sale. By centralizing data and automating processes, Uberall helps businesses effectively turn local searches into sales while improving their online reputation and customer interactions.
• Lead the App team responsible for customer-facing data APIs, Analytics products, and customer reporting • Manage and grow a team of six engineers: 3 backend, 2 frontend, and 1 QA • Partner daily with two Product Managers, a Designer, and a UX Researcher • Spend approximately 20–30% of time on architecture, code reviews, and coding • Own public enterprise APIs and the microservices behind them • Own the Analytics section of the Uberall platform, including frontend, filtering, and custom-report APIs • Own QuickSight reports and gold-layer datasets for customer reporting • Deploy and operate services on Kubernetes and AWS • Own observability, SLOs, and the team’s on-call rotation; lead incident management • Handle hiring, team growth, 1:1s, delivery, and engineering culture • Establish the App team as a healthy, autonomous unit • Co-own migration of data pipelines from the monolith into the Data Engineering stack • Drive backend modernization and migration toward Kotlin from legacy Groovy and Scala services • Shape AI-assisted Analytics insights and expose data/APIs for AI-agent consumption
• 7+ years of software engineering experience • Deep backend expertise on the JVM; Kotlin strongly preferred • Experience with Kotlin, Spring Boot, and Postgres • 2+ years leading an engineering team with genuine people responsibility, including hiring, 1:1s, performance, and delivery, while staying hands-on • Experience designing, operating, and evolving production microservices • Experience with Kubernetes, AWS, observability, SLOs, and incident management • Experience running an on-call rotation • Strong SQL and analytical data modeling skills • Experience with RESTful, service-oriented architectures serving external customers at scale • Frontend fluency with React and TypeScript • Experience navigating legacy systems and migrations • Professional working English (read, write, speak) • Comfort collaborating across a remote, distributed organization • Nice to have: experience with Groovy, Scala, Python, Amazon QuickSight or similar BI tooling, Databricks, Snowflake, Redshift, LLM-powered product features, or exposing data/APIs to AI agents
• Remote work arrangement • Opportunity to manage and grow a team of six engineers • Hands-on technical leadership and architecture ownership • Ownership of customer-facing products, data APIs, reporting, production operations, observability, SLOs, and on-call rotation • Professional growth and engineering culture-building opportunities
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