Platform Engineer
Tailored Management
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:
#TMN
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.
- 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.
- 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.
- Candidates must possess at least one of the following certifications:
- AWS Certified Cloud Practitioner
- Microsoft Azure Fundamentals
- Google Cloud Digital Leader
- 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
- 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.
- Round 1: Technical Interview
- Round 2: Design / Architecture / Solution Interview
#TMN
Vacancy posted 3 days ago
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