AI:Software Engineer;Development,Quality&Delivery:Exp-|Remote

Working Timing (6:30 pm - 2:30 am)
Work Mode:
Remote
Experience

Required:

6 + Years
Salary Package: 20- 30 LPA

About the Role
We're looking for a hands-on senior engineer who can both build and rigorously evaluate software, while owning end-to-end delivery across the SDLC. This person will work extensively with AI-assisted development tools and will be accountable for ensuring every deliverable whether built internally, by vendors, or with AI assistance — meets high standards of correctness, quality, security, and compliance. You'll be the connective tissue between development, QA, the AI SDLC framework, vendors, and clients — driving execution while holding the line on engineering excellence.
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Key Responsibilities

Write, review, and refactor production-grade code across the stack as needed
Leverage AI-assisted development tools to accelerate delivery without compromising quality or introducing technical debt
Set and model engineering best practices: clean architecture, maintainability, performance, and scalability

Review deliverables with a QA mindset — functional correctness, edge case coverage, regression risk, and test adequacy
Conduct security-focused code reviews (secure coding practices, common vulnerability classes, dependency risk, data handling)
Define and enforce quality gates and Definition-of-Done criteria across the SDLC
Ensure compliance with relevant coding, security, and regulatory standards

Own the complete SDLC lifecycle — planning, development, testing, deployment, and release
Coordinate across development teams, QA, and the AI SDLC framework/tooling to keep delivery on track
Act as the primary technical point of contact for vendors and clients, translating requirements and validating vendor deliverables against internal quality bars
Identify bottlenecks or risks across teams/departments and drive them to resolution proactively
Report on delivery health, quality metrics, and risk status to stakeholders

• Programming
  
  Languages:
  
  Proficiency in at least one modern programming language (e.g., JavaScript/Type Script, Java, Python, C#, Go, or similar); ability to read and reason about code in adjacent languages is a plus
• Software Design & Architecture:
  Solid grasp of design patterns, clean code principles, and system/API design
• Testing & QA Practices:
  Familiarity with unit, integration, and end-to-end testing frameworks; ability to assess test coverage and quality, not just write tests
• Test Automation Frameworks:
  Hands-on experience with at least one automated testing framework such as Playwright, Selenium, Cypress, or similar — able to write, review, and evaluate automated test suites as part of the quality gate
• Security Fundamentals:
  Working knowledge of secure coding practices and common vulnerability classes (e.g., OWASP Top 10), plus basics of dependency and data-handling risk
• AI-Assisted Development Tools:
  Hands-on experience with tools like Git Hub Copilot, Claude Code, Cursor, or similar
• Version Control & CI/CD:
  Practical experience with Git-based workflows and CI/CD pipelines (e.g., Jenkins, Git Hub Actions, Git Lab CI, or similar)
• Cloud & Infrastructure Basics:
  Working familiarity with at least one cloud platform (AWS, Azure, or GCP) and containerization basics (Docker)
• Code Review & Static Analysis:
  Comfort using or setting up static analysis, linting, and code quality tools (e.g., Sonar Qube, ESLint, or similar)
• Communication & Stakeholder Coordination:
  Ability to clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders (dev, QA, vendors, clients)

6+ years of professional software development experience, with strong…