Platform Engineer II

Upbound Group, Inc. (effective February 27, 2023: NASDAQ: UPBD) is an omni-channel platform company committed to elevating financial opportunity for all through innovative, inclusive, and technology-driven financial solutions that address the evolving needs and aspirations of consumers. The Company’s customer-facing operating units include industry-leading brands such as
Acima,
Rent-A-Center,
and Brigit
that facilitate consumer transactions across a wide range of store-based and digital retail channels, including over 2,400 company branded retail units across the United States, Mexico and Puerto Rico.

Upbound Group, Inc. is headquartered in Plano, Texas.

The Platform Engineer II is a lead individual contributor responsible for driving the development, maintenance, and evolution of the company's Internal Developer Platform, cloud infrastructure, identity services, event-driven architecture, and AI-powered engineering capabilities.

This individual leads the design and implementation of scalable platform solutions across cloud environments,establishes engineering standards and best practices, and serves as a key technical advisor to engineering teams. The role partners closely with Development, Security, Architecture, andDevExteams to improve developer productivity, platform reliability, and software delivery velocity.

A significant focus of this role is building and operating AI-powered platform capabilities, including LLM-based automation, agentic workflows, retrieval systems, and developer experience enhancements integrated throughout the SDLC. The engineer will also drive enterprise adoption of modern identity platforms and event-driven architectures supporting both customer-facing and internal engineering systems.

• Lead the design, implementation, and management of scalable,highly available, and secure platform services across AWS and GCP.

• Drive Infrastructure as Code (IaC) adoption through reusable Terraform modules, automation frameworks, and platform standards.

• Architect and implement advanced CI/CD pipelines leveraging
  
  GitOpsprinciples, progressive delivery, and engineering automation.

• Design andoperateplatform observability solutions encompassing monitoring, logging, tracing, alerting, and SLO management.

• Provide expert-level troubleshooting and root-cause analysis for critical platform incidents.

• Mentor engineers andestablishengineering best practices across development and platform teams.

• Design and evolve the Internal Developer Platform, including developer self-service capabilities, platform APIs, golden path templates, service scaffolding, and Developer Portal experiences.

• Define and measure platform adoption through DORA metrics, developer productivity metrics, and platform usage analytics.

• Build reusable platform services, SDKs, APIs, CLIs, and automation frameworks that improve engineering efficiency.

• Design, implement, andoperateenterprise identity services supporting workforce, customer, and machine-to-machine authentication.

• Partner with security teams to implement authentication, authorization, federation, RBAC, and governance standards.

• Lead adoption and operational excellence of identity platforms including
  
  Keycloakand Entra .

• Design and operate
  
  Kafka-based messaging and event streaming platforms.

• Establish platform standards for event-driven architecture, schema management, resiliency patterns, and event governance.

• Partner with application teams to build scalable asynchronous architecturesutilizingevent streaming technologies.

• Design, build, andoperateAI-powered platform services integrated into the software development lifecycle.

• Develop RAG (Retrieval-Augmented Generation) and agent-based workflows that interact with enterprise systems such as Git Hub, Jira, Confluence, CI/CD systems, and observability platforms.

• Implement MCP-based integrations and AI tooling that enable safe and efficient automation of engineering workflows.

• Build AI-powered developer experiences including engineering copilots, automation assistants, deployment assistants, and developer productivity tooling.

• Design guardrails, evaluation frameworks,approval workflows, and observability solutions for AI systems.

• Instrument andmonitorAI applications using metrics for latency, token usage,retrieval quality, hallucination rates, user feedback, and operational…