Senior Platform Engineer

Senior Platform Engineer Required Certification

Candidates must hold at least one of the following certifications. A copy of the certification must be provided with the submission:

• AWS Certified Cloud Practitioner
• Microsoft Azure Fundamentals
• Google Cloud Digital Leader

The Senior Platform Engineer is responsible for designing, developing, and evolving enterprise platform services, automation solutions, and cloud-native engineering capabilities that improve software delivery, reliability, scalability, security, and developer productivity.

This role focuses on platform engineering, SDLC automation, cloud technologies, and AI-enabled engineering
. The Senior Platform Engineer develops reusable platform products, shared services, APIs, frameworks, and self-service capabilities while establishing engineering standards and best practices.

Working closely with engineering, architecture, product, security, and operations teams, this role enables adoption of modern engineering practices and advances platform capabilities across the AI-Driven Development Lifecycle (AIDLC).

• Design and develop scalable engineering platforms, shared services, and reusable platform capabilities.
• Build APIs, SDKs, frameworks, templates, and accelerators that enable engineering teams to deliver software efficiently.
• Establish and implement platform standards, architecture patterns, and engineering best practices.
• Drive cloud-native modernization and adoption of modern engineering technologies.
• Implement appropriate governance and security guardrails for scalable, compliant software delivery.

• Design and implement automation solutions across the software development lifecycle.
• Develop automation frameworks and platform capabilities supporting development, testing, deployment, operations, governance, and security.
• Promote automation-first and AI-assisted engineering practices.
• Develop intelligent workflows and AI-powered solutions that improve engineering productivity and efficiency.
• Identify opportunities to automate repetitive engineering processes and improve delivery outcomes.

• Design and implement AI-enabled engineering capabilities and intelligent developer workflows.
• Develop and integrate AI agents, orchestration frameworks, and agent-based solutions.
• Work with LLMs, prompt engineering, context engineering, MCP, and RAG technologies.
• Evaluate emerging AI technologies and identify practical enterprise applications.
• Establish scalable patterns and best practices for incorporating AI into engineering platforms.

• Develop self-service platforms and tools that improve developer productivity and autonomy.
• Create reusable templates, accelerators, automation assets, and development workflows.
• Improve developer onboarding, development, testing, deployment, and support processes.
• Drive adoption of platform capabilities through technical leadership, documentation, and enablement.
• Use developer feedback and platform metrics to continuously improve the engineering experience.

• Integrate platform capabilities with CI/CD pipelines and engineering workflows.
• Design highly available, resilient, scalable, and observable platform solutions.
• Implement Infrastructure as Code (IaC), deployment automation, monitoring, and operational intelligence.
• Apply SRE principles to improve platform reliability and performance.
• Implement anomaly detection, automated remediation, and intelligent operational workflows.
• Use operational metrics and insights to identify opportunities for continuous improvement.

• Implement…