Job Title: Platform Engineer
Location: Plano, TX 75024 (Hybrid) – 1–2 days per week onsite (Candidate must be located within a 60-mile radius of a Bread Financial location . - No California candidates.
Duration: 06-month contract (Temp-to-Hire.)
Start Date: Targeting Oct 2026
Pay Rate: $53.57/hr. on W2
Benefits: Medical, Dental, Vision.
Hours: 8:00 AM – 5:00 PM as per time zone
Job Description:
• We are seeking a Senior Associate Platform Engineer to help design, develop, and support scalable platform services, automation solutions, and cloud-based infrastructure. This role focuses on Platform Engineering, SDLC automation, Developer Experience, Cloud Engineering, DevOps, and AI-enabled engineering.
• The engineer will build reusable frameworks, APIs, SDKs, shared services, self-service capabilities, automation solutions, and AI-powered engineering tools that improve developer productivity, platform reliability, and software delivery.
Minimum Qualifications:
• Bachelor’s degree in Information Technology, Computer Science, Computer Information Systems, Software Engineering, Mathematics, Statistics, or a related field, or equivalent relevant work experience.
• 2–5 years of related professional experience.
• Hands-on programming experience with one or more modern programming languages.
• Experience designing and building scalable automation solutions, engineering platforms, developer tools, reusable components, shared services, or self-service capabilities.
• Relevant experience working across Platform Engineering.
Preferred Qualifications:
• Industry certifications in cloud platforms, DevOps, Platform Engineering, software development, automation, AI/ML, data engineering, or related technologies.
• Experience with AI-assisted engineering, AI agents, or intelligent automation.
Required Certification:
• Candidates must possess at least one of the following certifications:
• AWS Certified Cloud Practitioner
• Microsoft Azure Fundamentals
• Google Cloud Digital Leader
Required Skills
• Platform Engineering & Architecture
• Developer Experience (DevEx) & Self-Service Platforms
• APIs, SDKs, Reusable Components & Shared Services
• Automation & AIDLC Enablement
• AI-Assisted Engineering & AI Agents
• AWS Cloud & Cloud-Native Platforms
• DevOps & CI/CD
• Monitoring, Observability & Reliability Engineering
• Infrastructure as Code (IaC)
• RAG Systems & MCP Integrations
• AI Tool Integration, including GitHub Copilot, AWS Kiro, and Amazon Bedrock
• LLM Workflows, Prompt Engineering & Context Engineering
• Agent Orchestration & Workflow Automation
• Debugging, Failure Analysis & Root-Cause Analysis
Key Responsibilities:
• Design and maintain scalable engineering platforms, products, and shared services.
• Build reusable APIs, SDKs, frameworks, templates, and self-service capabilities.
• Develop intelligent automation and AI-driven engineering solutions.
• Build AI agents, autonomous workflows, and AI-powered developer experiences.
• Integrate LLMs, RAG, MCP, prompt engineering, context management, and AI orchestration frameworks.
• Integrate platform capabilities into CI/CD pipelines and engineering workflows.
• Improve developer productivity, software delivery, reliability, scalability, and operational efficiency.
• Automate development, testing, deployment, operations, governance, security, and compliance processes.
• Implement deployment guardrails, automated controls, policy enforcement, and governance capabilities.
• Leverage cloud-native architectures, AWS, Infrastructure as Code, and modern DevOps practices.
• Build monitoring and observability solutions to improve platform reliability and operational readiness.
• Develop reusable automation patterns and engineering accelerators.
• Partner with engineering, product, security, architecture, and platform teams to deliver scalable solutions.
• Evaluate and adopt emerging AI, automation, and platform engineering technologies.
• Continuously improve developer experience, platform adoption, security, and engineering efficiency.
Interview Process:
• Round 1: Technical Interview
• Round 2: Design / Architecture / Solution Interview
#TMN