Summary:
The Senior Associate Platform Engineer contributes to the development, configuration, and support of platform services, automation solutions, and cloud-based infrastructure. Assists in building and maintaining automation frameworks, reusable tools, and platform capabilities that improve engineering efficiency, reliability, and software delivery. Supports the implementation of CI/CD workflows, infrastructure automation, and platform observability while adopting modern engineering practices and AI enabled tools under guidance. Collaborates with engineering, product, and platform teams to deliver scalable solutions, streamline development workflows, and support continuous improvement across the AI-driven development lifecycle. This role specializes in SDLC automation and intelligent engineering, focusing on building reusable frameworks, components, and self-service capabilities that accelerate software delivery. Engineers leverage modern programming languages, automation platforms, data-driven insights, CI/CD integration, and AI-powered tools to improve platform reliability, reduce maintenance effort, enhance developer productivity, and enable autonomous workflows across the AIDLC.
Minimum Qualifications:
? Bachelor?s degree in information technology, Computer Science, Computer Information Systems, Software Engineering, Mathematics, Statistics or related field of study or equivalent, relevant work experience
? 2-5 years of related work experience in 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 and relevant experience working across areas of the Platform engineering.
Preferred Qualifications: ? Relevant industry certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, data engineering, or related technologies are preferred.
Skills:
? Platform Engineering & Architecture ? Developer Experience (DevEx) & Self-Service Platforms ? Reusable Components, APIs, SDKs & Shared Services
? Automation & AIDLC Enablement ? AI-Assisted Engineering & AI Agents ? Cloud Engineering (AWS) & Cloud-Native Platforms ? DevOps, CI/CD
? Monitoring, Observability & Reliability Engineering ? RAG Systems, MCP Integrations & AI Tool Integration (GitHub Copilot, AWS Kiro, Bedrock)
? Observability, Debugging & Failure Analysis ? LLM Workflows, Prompt Engineering & Context Engineering ? AI Agents, Agent Orchestration & Workflow Automation