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Job Description
Structured overview of role & requirementsAbout This Role
Provide technical guidance and direction to business and technical teams, contractors, and vendors.
Develop, review, and debug secure, high-quality production code, and drive AI-assisted engineering practices adoption to improve code quality, delivery speed, and operational outcomes.
Influence product design, application functionality, and technical operations while serving as a subject matter expert and advocating firmwide SDLC frameworks, tools, and practices.
Minimum Requirements
5+ years of applied software engineering experience with formal training or certification.
Proficiency in Java (Java 17+), platform engineering, AWS, SQL/NoSQL databases, CI/CD tooling, and microservices architecture including Spring Boot and Spring Cloud.
Experience with AI-assisted software development tools (e.g., Gemini, Claude, CoPilot) and responsible AI use in engineering workflows.
Work Experience Required: Minimum 5 years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Deep expertise in platform engineering, SRE, observability, and production support of microservices with full DevOps service ownership.
Experienced in leading small teams and influencing wider divisions via technology assets, estimations, and timelines.
Strong background in AI-assisted code development and governance, secure coding, and coaching senior engineers on compliant AI tool usage within complex cloud-native environments.