Senior Software Engineer – AI-Augmented Software Development||REMOTE

Job Description

Experience Required: 6+ years

Employment Type: Full-time

About the Role

We’re looking for a hands-on Senior engineer who primarily focuses on building high-quality software, with strong capabilities in evaluating code quality and 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.

Key Responsibilities

Development- Primary Responsibility

● 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

Quality & Security

● 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

Delivery & Orchestration

● 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

Required Skills

● Programming Languages: Proficiency in at least one modern programming language (e.g., JavaScript/TypeScript, 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 GitHub Copilot, Claude Code, Cursor, or similar

● Version Control & CI/CD: Practical experience with Git-based workflows and CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab 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., SonarQube, 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)

Required Qualifications

● 6+ years of professional software development experience, with strong hands-on coding ability in at least one modern stack

● Demonstrated experience reviewing others’ code for quality, logic correctness, and security — not just writing code

● Solid understanding of secure coding practices and common vulnerability patterns (e.g., OWASP Top 10 or equivalent)

● Experience working with or evaluating AI-assisted development tools (e.g., Copilot, Claude Code, Cursor, or similar)

● Proven experience coordinating cross-functional stakeholders — development, QA, vendors, and clients

● Strong understanding of SDLC methodologies (Agile/Scrum, CI/CD pipelines, release management)

● Excellent communi…