Back
Tier-1 brand, mid-level generalist backend role in metro yields high applicant competition.
Strong backend and platform skills are transferable, though banking and responsible-AI controls increase domain specificity.
Multiple mandatory technical skills, AI tooling, SRE, and cloud requirements create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
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.
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.
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.