Lead Software Engineer – Analytics & Reporting

• 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