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Senior Software Engineer Legacy Modernization & AI Automation

TrueBlue Verified employer

Actively hiring · Posted 6d ago · JEV26104E187CF8A2

SalarySalary not disclosed
Experience0–4 yrs
LocationBangalore, Karnataka
Work modeRemote · Full time
Openings1
Shiftstrategies as well as meticulous deep-architectural refactoring initiatives for
IndustryIT Services & Consulting

Job description

KEY RESPONSIBILITIES

Collaborate effectively within a lean team structure focused on core legacy application support, optimization, and modernization.Drive robust lift-and-shift strategies as well as meticulous deep-architectural refactoring initiatives for existing enterprise applications.Actively leverage AI-based development tools (e.g., GitHub Copilot) and modern DevOps automation to significantly accelerate software delivery speed and enhance engineering standards.Perform detailed code analysis, proactive performance tuning, regression testing, and systemic stabilization of legacy software environments.Ensure absolute end-to-end ownership of development pipelines and tasks with minimal supervisor oversight.Align all newly developed modern features and components with the pre-existing tech stack structure and corporate architecture standards.Collaborate dynamically with cross-functional stakeholders to align engineering sprints with critical operational milestones and ensure smooth delivery.

REQUIRED SKILLS & QUALIFICATIONS

Modernization Expertise: Proven hands-on experience navigating complex legacy software codebases, performing technical debt evaluations, and executing migration patterns.Full-Stack Core Proficiency: Deep practical competence in at least one backend ecosystem and frontend ecosystem as applicable: Backend: Node.js, Java, or .NET Frontend: Angular or ReactCloud & CI/CD Frameworks: Comprehensive deployment experience utilizing major cloud architectures (AWS or Azure) and establishing structured automation pipelines (Jenkins, GitHub Actions, etc.).AI & Automation Tooling: Hands-on exposure to modern AI-assisted coding extensions, continuous testing applications, and progressive DevOps automation.Quality & Observability: Solid diagnostic knowledge utilizing code coverage analysis, structured logging, monitoring suites, and system-level debugging tools.Core Competencies: Superior standalone problem-solving capacity, clear professional communications skills, an autonomous work ethic, and a preference for in-office team collaboration .

Key skills

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