Designs, develops, tests, and supports secure, scalable software, APIs, batch systems, data pipelines, and AWS cloud solutions. Builds Spring Boot backend services, applies data governance and cloud security practices, creates architecture artifacts, monitors production systems, and troubleshoots incidents. Uses AI-assisted development tools responsibly, validates generated outputs, and contributes to agile SDLC practices, automation, observability, and continuous improvement.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions 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 breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Designs, builds, and supports batch processing systems and data pipelines (e.g., scheduled/triggered workflows, ETL/ELT processing, backfills/reprocessing), including operational monitoring, alerting, and incident triage
- Implements and enforces data management concepts such as data quality, validation, metadata, lineage, access controls, retention, and auditability aligned to platform standards
- Builds and maintains APIs and backend services using Spring Boot, including integration patterns, service contracts, error handling, authentication/authorization integration, and documentation
- Leverages AWS cloud services to deliver scalable, resilient, and cost-aware solutions; applies security best practices such as IAM least privilege, encryption, secrets management, and logging
- 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
- 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
- Strong coding ability in Java and/or Python, with production experience building reliable services and data processing components
- Hands-on experience building and operating batch processing systems and associated data workflows in production environments
- Strong knowledge of AWS cloud services and cloud-native engineering practices (security, scalability, resiliency, observability, cost awareness)
- Practical experience building APIs using Spring Boot (REST services, validation, testing, performance tuning, documentation)
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (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
- Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies and Exposure to cloud technologies
- Experience with data platform patterns (data lake/warehouse, distributed processing frameworks, orchestration) and implementing data quality/metadata/lineage capabilities at scale
- Experience with infrastructure-as-code and automated environment provisioning (e.g., Terraform/CloudFormation or equivalent), and strong observability practices (metrics/logging/tracing)
JPMorganChase Hyderabad, Telangana, IND Office
JP Morgan Tower, Salarpuria Sattva Knowledge City, HITEC City, Raidurgam, Hyderabad, Telangana, India, 500081
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