Software Engineer III - Data/AWS Engineer
Location
Bangalore | India
Job description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
Job summary
As a Software Engineer III at JPMorgan Chase within the Corporate & Investment Banking business, specifically in the Research & Analytics team, you will be a key player in an agile team, responsible for designing and delivering reliable, industry-leading technology products in a secure, stable, and scalable manner. Your role will involve implementing critical technology solutions across a range of technical areas within various business functions, all in support of the firm's business objectives.
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
- 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
- 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
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Hands-on practical experience in system design, application development, testing, and operational stability.
- Proficient in ETL and AWS services (including S3, Glue, Athena, RDS), Infrastructure as Code, big data and modern data engineering technologies.
- Solid coding skills in Python or similar programming language.
- Overall knowledge of the Software Development Life Cycle.
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Experience in migrating data and data products to cloud native ecosystems
- Familiarity with data quality, observability and lineage tooling
- Practical experience with DevOps, Kubernetes, EKS, ECS, Spark, Hive
- Experience collaborating with data analysts, data scientists, or business analysts
- Familiarity with modern Business Intelligence and reporting tools
Job tags
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