Job Responsibilities:

- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills:





- Formal training or certification on software engineering concepts and 3+ years applied experience in developing data ingestion from on premise applications to private cloud AWS using related services like S3, Lambda, SQS, Event Bridge, Glue/Glue workflows/Glue Data Catalogue, Cloud watch, Aurora MySQL/PostgreSQL databases, and Pyspark
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Required Development skills for more than one Cloud and Traditional Data Engineering technology including AWS Services like Glue, EMR, data warehouse
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work setting (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Good understanding of KMS and IAM services.
- Experience in comprehensive analysis and design experience with demonstrated knowledge of RDMS systems like Oracle, good in writing and understanding SQL, PL/SQL constructs.
- Hands-on experience with AI-powered coding IDEs such as ClaudeCode, Copilot, Windsurf, or similar tools.
- Experience in CI/CD process in AWS Cloud environments, has hands on experience on any of the Infrastructure as Code service (Iac) like Terraform, Cloud Formation etc.

📌 Software Engineer (Karnataka)
🏢 hackajob
📍 Karnataka