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Platform Engineer Jobs in Denton, TX (NOW HIRING)

Upbound Group, Inc.

Platform Engineer

Plano, TX · On-site

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 ...

Upbound

Platform Engineer

Plano, TX

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 ...

Upbound

Platform Engineer

Plano, TX

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 ...

Upbound

Platform Engineer

Plano, TX · On-site

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 ...

T-Mobile

Platform Engineer

Frisco, TX · On-site

The Platform Engineer is essential for designing and optimizing infrastructure that supports internal services and platforms within the organization. It involves building resilient and scalable ...

SSTech LLC

DATABRICKS PLATFORM ENGINEER

Plano, TX · On-site

*ROLE : DATABRICKS PLATFORM ENGINEER* *Location:* Onsite - Plano, TX / Middletown, NJ / Alpharetta, GA *Overview:* Tier-1 support org seeking *Databricks Platform Engineer* as primary engineering ...

Upbound Group Inc.

Platform Engineer II

Plano, TX · On-site

$120 - $160/hr

PLATFORM ENGINEER (Plano Texas or Draper Utah, In-Office) ABOUT UPBOUND Upbound Group, Inc. (effective February 27, 2023: NASDAQ: UPBD) is an omni-channel platform company committed to elevating ...

DTCC

Platform Engineer

Coppell, TX · On-site

The Platform Hosting & Engineering role specializes in the development, implementation, and support of all distributed, mainframe, and network hosting services across the firm. Responsible for the ...

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Platform Engineer information

See Denton, TX salary details

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How much do platform engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for platform engineer in Denton, TX is $59.96, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $69.18 per hour, depending on experience, location, and employer.

What is a platform engineer?

A platform engineer writes code that bridges the gap between software and hardware and tests the system so that it runs effectively and smoothly. In this career, you are a vital part of the software and hardware industries. You run diagnostics tests to verify the correct design of hardware, which usually means writing code for manufacturing diagnostics so that the testing of the hardware takes place automatically. The qualifications needed for a career as a platform engineer include a bachelor’s degree in computer science or an associate’s degree and relevant work experience.

What are the key skills and qualifications needed to thrive as a platform engineer, and why are they important?

To thrive as a Platform Engineer, you need a solid background in computer science, systems architecture, and cloud infrastructure, often supported by a relevant degree or equivalent experience. Familiarity with containerization tools (like Docker and Kubernetes), infrastructure-as-code platforms (such as Terraform), and cloud services (AWS, Azure, or GCP) is typically required, along with relevant certifications. Strong problem-solving skills, collaboration, and effective communication help Platform Engineers drive reliability and innovation within technical teams. These competencies are crucial for building scalable, secure, and efficient platforms that support an organization's technology needs.

How does a platform engineer typically collaborate with development and operations teams?

Platform Engineers work closely with both development and operations teams to design, build, and maintain scalable infrastructure and deployment pipelines. They often serve as a bridge, ensuring that applications can be deployed reliably and efficiently while meeting the requirements of both teams. Regular communication is key, as Platform Engineers gather feedback from developers about tooling needs and coordinate with operations to uphold system stability and security. This collaborative environment fosters automation, streamlines workflows, and supports continuous delivery practices.

What is the difference between Platform Engineer vs DevOps Engineer?

AspectPlatform EngineerDevOps Engineer
CredentialsBachelor's in CS or related field, often cloud certificationsBachelor's in CS, DevOps certifications (e.g., Docker, Kubernetes)
Work EnvironmentDesigning and building platform infrastructure, working with cloud servicesAutomating deployment, CI/CD pipelines, and system operations
Industry UsageTech companies, cloud providers, SaaS firmsSoftware development, IT operations, cloud services

Platform Engineers focus on creating and maintaining the underlying infrastructure and platforms, while DevOps Engineers streamline development and deployment processes through automation. Both roles collaborate closely but have distinct focuses within the software development lifecycle.

Do platform engineers make good money?

Platform engineers typically earn competitive salaries that vary based on experience, location, and industry. They often have skills in cloud computing, automation, and scripting, which can lead to higher compensation levels compared to other engineering roles.

What will a platform engineer do?

A platform engineer designs, builds, and maintains the underlying infrastructure and tools that support software development and deployment. They work with cloud services, automation, and scripting to ensure scalable, reliable, and efficient systems, often using technologies like Kubernetes, Docker, and CI/CD pipelines.
More about Platform Engineer jobs

What are the most commonly searched types of Platform Engineer jobs in Denton, TX?

The most popular types of Platform Engineer jobs in Denton, TX are:

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For Platform Engineer jobs in Denton, TX, the most frequently searched job titles are:

What job categories do people searching Platform Engineer jobs in Denton, TX look for?

The top searched job categories for Platform Engineer jobs in Denton, TX are:

What cities near Denton, TX are hiring for Platform Engineer jobs?

Cities near Denton, TX with the most Platform Engineer job openings:

Platform Engineer jobs near you
Infographic showing various Platform Engineer job openings in Denton, TX as of August 2026, with employment types broken down into 58% Full Time, 40% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $124,727 per year, or $60 per hour.

Platform Engineer

Upbound Group, Inc.

Plano, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 26 days ago

Job description

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 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.
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, establishes engineering standards and best practices, and serves as a key technical advisor to engineering teams. The role partners closely with Development, Security, Architecture, and DevEx teams 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 leveraging GitOps principles, progressive delivery, and engineering automation.

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

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

  • Mentor engineers and establish engineering 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, and operate enterprise 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 Keycloak and Entra ID.

Event-Driven Architecture
  • 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 architectures utilizing event streaming technologies.

AI Platform Engineering
  • Design, build, and operate AI-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, approval workflows, and observability solutions for AI systems.

  • Instrument and monitor AI applications using metrics for latency, token usage, retrieval quality, 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.

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

  • Deep expertise with 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 and GitOps workflows.

Identity & Security
  • Hands-on experience with Keycloak, 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 of embeddings, 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 of AI 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 with LangGraph, 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, and adoption metrics.

  • Experience using engineering productivity data to identify platform 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 must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
Join us at the forefront of digital innovation, where your work will directly impact the 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.
Upbound Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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