Sr Platform Engineer- INTL
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Role details
Tech stack
Job description
The Senior Platform Engineer leads the design, development, and evolution of platform services, automation solutions, and cloud-native engineering capabilities that improve software delivery, reliability, scalability, security, and developer productivity. This role drives the creation of reusable platform products, shared services, self-service capabilities, and intelligent automation solutions while establishing engineering standards and best practices. Collaborating across engineering, product, architecture, security, and operations teams, the Senior Platform Engineer enables scalable platform adoption and advances organizational platform maturity across the AI-Driven Development Lifecycle (AIDLC).
This role specializes in SDLC automation and intelligent engineering, driving the architecture, standardization, and adoption of reusable frameworks, platform products, components, and self-service capabilities. Engineers leverage modern engineering practices, cloud-native technologies, AI-powered solutions, and agent-based automation to accelerate software delivery, improve platform reliability, enhance developer productivity, and enable intelligent autonomous workflows across the AIDLC.
Requirements
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
5-8 years of experience in platform engineering, software engineering, cloud engineering, DevOps, automation engineering, or related disciplines. Strong hands-on experience with modern programming languages, cloud-native technologies, automation frameworks, and engineering platforms.
Proven experience designing and delivering scalable platform solutions, shared services, automation frameworks, reusable components, developer tools, and self-service capabilities.
Demonstrated experience leading technical initiatives and driving adoption of engineering best practices across teams., Relevant industry certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, data engineering, or related technologies are preferred.
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