Senior Lead Software Engineer

Job responsibilities:

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• 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.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 8+ years of software development experience.
• 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
• Strong understanding of computer science fundamentals, algorithms, and data structures.
• Strong knowledge and practical experience with Java, Spring Framework (Spring Boot, Spring MVC, Spring Data), RESTful APIs, Kafka, Postgres SQL and Microservices architectures.
• Practical knowledge of CI/CD, Jenkins, and source code management tools such as Git and Bitbucket.
• Proficiency in designing and implementing data models for relational databases.
• Experience with using relational database like Postgres SQL.
• Experience working on Cloud platform (AWS/GCP/Azure/Kubernetes).

• Experience in Identity and Access Management.
• Experience to cloud services such as AWS S3, EC2, EKS, IAM, and Lambda.
• Experience in Cloud and Container based development (Gaia, Kubernetes).