Platform Engineer II

Upbound Group Inc.; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Full health benefits

401(k) match

DTO (discretionary time off)

HSA with company contribution

Tuition reimbursement (STEM)

Job summary

Upbound Group, Inc. is seeking a Platform Engineer II to lead the evolution of the Internal Developer Platform, cloud infrastructure, and AI-powered engineering capabilities.

You will work across AWS/GCP, Kubernetes, and GitOps pipelines, partnering with Development, Security, Architecture, and DevEx teams to boost developer productivity and platform reliability. The role focuses on building AI-powered platform capabilities, including LLM-based automation and agent workflows, while advancing

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Engineering.
• 6+ years in Platform Engineering, DevOps, SRE, or Software Eng.
• 2+ years building AI/LLM-powered solutions.
• Strong software engineering background with production API/services tooling.
• Proficiency in Python or Go.
• Deep expertise with AWS and/or GCP.
• Kubernetes and cloud-native infra.
• Terraform and infra automation.
• Extensive CI/CD and GitOps experience.
• Identity platforms like Keycloak/Entra ID/Auth0.
• OAuth2/OIDC/SAML/JWT/RBAC knowledge.
• Kafka or enterprise event streaming.
• AI agent/workflow design and deployment.

Responsibilities

• Lead design and management of scalable, secure platform services across AWS/GCP.
• Drive IaC adoption via Terraform modules and automation.
• Architect CI/CD pipelines with GitOps and progressive delivery.
• Design observability incl. monitoring/logging/SLOs and incident analysis.
• Mentor engineers and propagate best practices across teams.
• Develop Internal Developer Platform, APIs, SDKs, CLIs, templates and portals.
• Define platform adoption metrics (DORA, developer productivity).
• Implement enterprise identity and security platforms (Keycloak, Entra ID).
• Design and operate Kafka-based event streaming and governance.

Skills

Platform engineering

DevOps

SRE

Software engineering

Python/Go

AWS/GCP

Kubernetes

Terraform

CI/CD/GitOps

Identity platforms

Kafka

AI/LLM

Agentic workflows

Security/ RBAC

Education

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Tools

Terraform

Kubernetes

AWS

GCP

Keycloak

Entra ID

Auth0

Job description

Platform Engineer

ABOUT UPBOUND

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 asAcima,Rent-A-Center,and Brigitthat 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.

JOB SUMMARY

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,establishesengineering 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.

KEY RESPONSIBILITIES

Platform Engineering

• 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 leveragingGitOpsprinciples, 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.

Developer Experience & Internal Platforms

• 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.

Identity & Security Platforms

• 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 includingKeycloakand Entra ID.

Event-Driven Architecture

• Design andoperateKafka-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.

AI Platform Engineering

• 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 GitHub, 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,approvalworkflows, and observability solutions for AI systems.

• Instrument andmonitorAI applications using metrics for latency, token usage,retrievalquality, hallucination rates, user feedback, and operational effectiveness.

REQUIRED SKILLS & QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

• 6+ years of experience in Platform Engineering, DevOps, Site Reliability Engineering, or Software Engineering.

• 2+ years of hands‑on experience building, deploying, or operating AI/LLM-powered solutions.

• Strong software engineering background with experience designing and building production applications, APIs, services, or developer tooling.

• Proficiencyin Python, Go, or equivalent programming languages used for platform and automation development.

• Deepexpertisewith AWS and/or GCP cloud platforms.

• Expert knowledge of Kubernetes, container orchestration, and cloud-native infrastructure patterns.

• Expert-level experience with Terraform and infrastructure automation.

• Extensive experience implementing advanced CI/CD pipelines andGitOpsworkflows.

Identity & Security

• Hands‑on experience withKeycloak, Entra ID, Auth0, or comparable identity platforms.

• Strong understanding of OAuth2, OpenID Connect (OIDC), SAML, JWTs, RBAC, and enterprise identity architectures.

Event Streaming

• Production experience operating Kafka or enterprise event-streaming platforms.

• Strong understanding of distributed systems, event-driven architecture, consumer scalability, partitioning, replication, resiliency patterns, and schema governance.

AI & Developer Productivity

• Experience designing and deploying RAG-based solutions.

• Understanding ofembeddings, vector databases, semantic search, prompt engineering, and context retrieval techniques.

• Experience building AI agents, tool‑calling frameworks, or agentic workflows.

• Hands‑on experience integrating LLMs with engineering workflows, source control platforms, ticketing systems, or operational tooling.

• Experience implementing MCP server integrations or equivalent AI tool integration frameworks.

• Experience evaluating,monitoring, and improving AI system performance in production environments.

• Understanding ofAI governance, guardrails, validation strategies, and human‑in‑the‑loop workflows.

PREFERRED SKILLS & QUALIFICATIONS

• Experience productionizing agentic systems with permissions, auditability, rollback strategies, failure handling, and human approval workflows.

• Experience integrating AI systems across multiple enterprise engineering platforms, such as GitHub, Jira, ServiceNow, Confluence, and Backstage, in a governed production environment.

• Familiarity withLangGraph,CrewAI, Semantic Kernel, OpenAI Agent Framework, or similar orchestration frameworks.

• Experience building automated AI evaluation pipelines, benchmark datasets, regression tests, and continuous quality feedback loops.

• Experience building Backstage-based or equivalent Developer Portals with catalog ownership, software templates, scorecards, andadoptionmetrics.

• Experience using engineering productivity data toidentifyplatform friction, prioritize improvements, and measure developer experience outcomes.

• Experience supporting regulated environments and security compliance frameworks.

COMPENSATION/BENEFITS

• Competitive compensation

• Full health benefits-Medical/Dental/Vision

• 401(k) match, (5%/4%)

• DTO (discretionary time off)

• Health savings account (HSA) with company contribution

• College tuition reimbursement program (STEM degrees)

• Unlimited use of LinkedIn Learning

• On-site gym and showers

• Free car charging and covered parking

SPONSORSHIP

Applicants mustbe authorized towork for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visaat this time.

Join us at the forefront of digital innovation, where your work will directlyimpactthe future of financial accessibility and consumer experiences across retail,e-commerce, and fintech.

Upbound/Acima/Brigit are equal opportunity employers committed to ensuring that all employment decisions are made on a non-discriminatory basis, and without regard to actual or perceived race.