Lead Software Engineer - Java/Python Backend

Fairygodboss; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Fairygodboss in Bengaluru seeks an experienced software engineer to lead design, development, and secure production code in a data-driven environment.

You will drive AI-assisted engineering practices, implement CI/CD and cloud-native solutions in financial services contexts, and mentor teams toward resilient, high-quality software.

Qualifications

• Formal training or certification in software engineering plus 10+ years of experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in Java/Python programming language(s).
• Experience leading AI-assisted development tools and validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, security and resiliency considerations.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies including CI/CD, resiliency, and security.
• In-depth knowledge of the financial services IT landscape and cloud-native environments.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with non-routine approaches.
• Develops secure production code and reviews/debugs code written by others.
• Drives adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operations, with standardized validation.
• Applies SDLC toolchain knowledge to improve automation value in development workflows.
• Identifies opportunities to automate remediation and improve overall stability of software applications.
• Leads evaluation sessions with external vendors and internal teams to probe designs and architectures for fit within existing systems.

Skills

Java

Python

System design

Application development

Testing

Operational stability

AI-assisted development tools

CI/CD

Secure coding / security

Cloud native

Financial services IT

Agile methodologies

Education

Software engineering certification

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• A. Formal training or certification on software engineering concepts and 10+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java/Python programming language(s)
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Platform engineering experience