Job Description

Our Global Data Insight & Analytics organization is seeking a Senior Software Engineer to join an innovative team dedicated to transforming our code review and quality assurance processes. In this role, you'll leverage your extensive software engineering expertise to establish best practices, conduct thorough code reviews, and help build GenAI based systems that elevate code quality across the organization. You'll work in a collaborative environment with engineers, product managers, and business partners to deliver measurable improvements to our development workflow.

3+ years of professional experience as a backend software engineer with strong proficiency in

Python

and

Java

Demonstrated track record implementing software engineering best practices including code reviews, TDD, and clean code principles Experience architecting, building and maintaining backend services and developer tools Working knowledge of CI/CD pipelines, containerization (Docker), and infrastructure automation (Terraform) Strong understanding of software design patterns, SOLID principles, and object-oriented programming History of improving development processes and mentoring other engineers Excellent written and verbal communication skills with ability to explain complex concepts clearly Bachelor's degree in Computer Science, Computer Engineering, or related technical field

Establish and Enforce Engineering Excellence

: Define, implement, and evangelize robust coding standards, design patterns, and software development best practices that enhance quality and maintainability.

Lead Cross-Team Code Reviews

: Conduct comprehensive, hands-on code reviews, with the help of state-of-art GenAI tools, for multiple product teams, providing actionable feedback and guidance on architecture, performance, and security.

Develop Quality Automation Tools

: Design and build scalable backend services and tools in

Python

and

Java

that automate routine checks, standardize workflows, and increase development velocity.

Architect Review Frameworks

: Create structured frameworks and processes that combine human expertise with automation to streamline PR routing, standardize feedback, and capture quality metrics.

Drive DevOps Practices

: Implement and refine CI/CD pipelines, testing strategies, and infrastructure-as-code to enable consistent, reliable delivery across teams.

Develop AI/ML and GenAI Solutions:

Collaborate with the Product Owner to design and implement innovative AI/ML and Generative AI products that align with the business vision.

Mentor and Grow Engineering Culture

: Coach engineers on software craftsmanship, lead technical discussions, and facilitate knowledge sharing through workshops and documentation. *

Collaborate Across Functions

: Partner closely with product owners, architects, security teams, and stakeholders to ensure alignment on quality standards and implementation approaches.