Software Engineer II -Java/Python, UI, AWS

📍 Job Overview

Job Title: Software Engineer II - Java/Python, UI, AWS
Company: JPMorgan Chase
Location: Bengaluru, Karnataka, India
Job Type: Full time
Category: Software Engineering / Technology
Date Posted: 2026-01-07T06:07:32
Experience Level: 2-5 years
Remote Status: On-site

🚀 Role Summary

• This role focuses on executing creative software solutions, encompassing design, development, and technical troubleshooting within an agile framework for the Commercial & Investment Bank's Risk Central Tech team.
• Key responsibilities include developing data quality rules and controls, providing Level 3 (L3) production support, and supporting Business As Usual (BAU) operations for Markets businesses.
• Candidates will create secure, high-quality production code, maintain algorithms, and produce architecture and design artifacts for complex applications.
• The role emphasizes proactive identification of data issues and driving improvements in code and system architecture through data analysis and visualization.

📝 Enhancement Note: While the input job title is "Software Engineer II," the description strongly aligns with a role that bridges software development, data engineering, and operational support within a financial technology context. The emphasis on L3 support, BAU operations, and data quality rules suggests a need for candidates who can not only build but also maintain and optimize critical systems, making it a hybrid role with significant operational responsibilities.

📈 Primary Responsibilities

• Design, develop, and implement robust software components and solutions, leveraging Java, Python, and SQL, with a focus on innovative approaches beyond routine problem-solving.
• Develop and implement comprehensive data quality rules and validation controls to ensure the integrity and accuracy of critical datasets.
• Provide advanced Level 3 (L3) technical support for production systems, diagnosing and resolving complex issues to maintain high availability and system reliability.
• Support Business As Usual (BAU) operations for Markets businesses, ensuring seamless day-to-day functionality and operational efficiency.
• Write secure, efficient, and high-quality production code, and develop algorithms that operate synchronously with designated financial systems.
• Create detailed architecture and design artifacts for complex applications, ensuring adherence to design constraints throughout the software development lifecycle.
• Gather, analyze, and synthesize data from diverse sources, developing visualizations and reports to drive continuous improvement of software applications and underlying systems.
• Proactively identify and troubleshoot hidden problems and patterns within large datasets, using these insights to optimize code and enhance system architecture.
• Contribute to the design and development of APIs and foundational components, ensuring interoperability and scalability.
• Participate actively in agile ceremonies, contributing to sprint planning, execution, and retrospectives.

📝 Enhancement Note: The responsibilities highlight a blend of core software engineering, data engineering, and operational support. The emphasis on L3 support and BAU operations indicates a need for candidates with a strong understanding of production environments and a proactive approach to system stability.

🎓 Skills & Qualifications

Education: Formal training or certification on software engineering concepts is required. Specific degree requirements are not explicitly stated, but a Bachelor's degree in Computer Science, Engineering, or a related field is typically expected for this level.
Experience: 2+ years of applied experience in software engineering roles, with a proven track record in developing and supporting complex systems.

Required Skills:

• Strong proficiency in Java and Python for backend development and scripting.
• Expertise in SQL for database querying and data manipulation.
• Hands-on experience with ReactJS/JavaScript for front-end development and UI components.
• Solid understanding of fundamental data structures, algorithms, and object-oriented programming (OOP) principles.
• Practical experience with Amazon Web Services (AWS) services (e.g., EC2, S3, Lambda) and cloud data management solutions like Redshift, DynamoDB, Aurora, and Databricks.
• Proficiency in implementing automation pipelines, CI/CD practices, and working within agile development methodologies.
• Experience in system design, application development, and ensuring operational stability of software systems.
• Strong analytical and problem-solving capabilities, with the ability to dissect complex technical challenges.
• Excellent communication skills, both written and verbal, for effective collaboration and reporting.
• Proficiency with Unix/Linux operating systems and shell scripting for system administration and automation tasks.
• Experience providing Level 3 (L3) support for production systems and supporting Business As Usual (BAU) operations.
• Understanding of data modeling challenges, particularly in big data environments.

Preferred Skills:

• Knowledge of financial data structures, market data, and front-office investment banking operations.
• Experience in developing robust APIs and reusable foundational software components.
• Strong Software Development Life Cycle (SDLC) mindset and familiarity with various agile paradigms.
• Experience within DevOps environments, including infrastructure design and transformation initiatives.
• Comfort and adaptability working across different computing platforms and programming languages.

📝 Enhancement Note: The "2+ years applied experience" combined with the "Software Engineer II" title suggests a mid-level role. The extensive list of required technical skills, including specific AWS services and programming languages, indicates that candidates will be expected to contribute immediately to complex projects.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of complex software development projects, showcasing proficiency in Java, Python, and UI frameworks like ReactJS.
• Case studies detailing the implementation of data quality rules and controls, highlighting the impact on data integrity and system reliability.
• Examples of system design artifacts, architectural diagrams, and API specifications for complex applications.
• Evidence of contributions to CI/CD pipelines, automation scripts, and agile development processes, emphasizing efficiency gains.
• Projects illustrating the use of AWS services for cloud data management, serverless computing, or scalable application deployment.

Process Documentation:

• Workflow designs and optimization strategies for software development and deployment processes.
• Documentation of implemented automation scripts and CI/CD pipelines, showcasing efficiency improvements and reduced manual effort.
• Analysis of system performance metrics, troubleshooting guides, and root cause analysis (RCA) reports for production issues.
• Examples of data analysis and visualization reports generated to drive system improvements.

📝 Enhancement Note: For a Software Engineer II role with operational responsibilities, a portfolio should emphasize not just code quality and feature delivery but also system stability, data integrity, and operational efficiency. Demonstrating experience with production support and problem-solving is crucial.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for a Software Engineer II with 2-5 years of experience in Bengaluru, India, the estimated annual salary range for this role is ₹1,000,000 to ₹1,800,000. This range accounts for the specific technical skills required (Java, Python, AWS, ReactJS), the financial industry context, and the L3 support responsibilities.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision) for employees and dependents.
• Generous paid time off (PTO), including vacation, sick leave, and public holidays.
• Retirement savings plans (e.g., provident fund contributions).
• Opportunities for professional development, including training, certifications, and conference attendance.
• Employee assistance programs (EAP) offering confidential counseling and support.
• Performance-based bonuses and incentives.
• Access to company stock purchase plans or other equity programs.
• Relocation assistance may be available for eligible candidates.

Working Hours: Standard full-time working hours are typically 40 hours per week. While the role is on-site, there may be flexibility in daily start and end times, subject to team and business needs. Occasional on-call duties or extended hours may be required to support critical production systems or major releases.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for similar roles in Bengaluru, India, considering the experience level and specific technical stack. JPMorgan Chase is a large financial institution, so benefits are expected to be robust.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Banking, Investment Banking, Financial Technology). JPMorgan Chase operates at the forefront of global finance, leveraging cutting-edge technology to deliver a wide range of financial products and services. The Risk Central Tech team specifically focuses on managing and mitigating risks within the Commercial & Investment Bank, a critical function requiring precision, security, and scalability.
Company Size: JPMorgan Chase is a global financial services firm with over 300,000 employees worldwide, indicating a large, complex, and highly structured organization. This size offers stability, extensive resources, and diverse career paths but also implies established processes and potentially a more formal corporate culture.
Founded: Founded in 2000 through the merger of Chase Manhattan Corporation and J.P. Morgan & Co., JPMorgan Chase has a long history rooted in legacy institutions dating back to 1799. This heritage suggests a company that values tradition, stability, and long-term growth.

Team Structure:

• The role is within the Commercial & Investment Bank's Risk Central Tech team, part of a larger technology division.
• The team likely comprises software engineers, data engineers, QA analysts, and potentially business analysts or product owners.
• Reporting structure is expected to be hierarchical, with the Software Engineer II reporting to a Team Lead or Engineering Manager.
• Cross-functional collaboration will extend to risk management professionals, traders, and other business stakeholders within the Commercial & Investment Bank.

Methodology:

• Agile methodologies are a core component, emphasizing iterative development, continuous feedback, and adaptability.
• Data-driven decision-making is paramount, with a strong focus on analyzing large datasets to identify risks, optimize systems, and ensure data quality.
• Emphasis on robust software development practices, including code reviews, testing (unit, integration, regression), and a focus on security and stability.
• A culture of continuous improvement, encouraging proactive problem-solving and the adoption of new technologies to enhance efficiency and performance.

Company Website: https://www.jpmorganchase.com/

📝 Enhancement Note: JPMorgan Chase's culture is typically characterized by a blend of innovation and a strong emphasis on risk management, compliance, and stability, given its role in the global financial system. The Risk Central Tech team will likely reflect these priorities.

📈 Career & Growth Analysis

Operations Career Level: Software Engineer II represents an intermediate level. Professionals at this stage are expected to have a solid grasp of core engineering principles and be capable of executing tasks with increasing autonomy. They contribute significantly to feature development, bug fixing, and system maintenance, often mentoring junior engineers. In this hybrid role, it also implies a growing responsibility for system stability and operational excellence beyond pure development.
Reporting Structure: The Software Engineer II will report to a lead engineer or engineering manager within the Risk Central Tech team. This manager will guide technical direction, performance reviews, and career development. The role involves close collaboration with peers on the development team and stakeholders from the business (risk management, trading desks) who utilize the systems.
Operations Impact: The work directly impacts the risk management capabilities of the Commercial & Investment Bank. By ensuring software systems are stable, secure, and data is accurate, this role helps the bank identify, monitor, and mitigate financial risks, thereby protecting its assets and ensuring regulatory compliance. Enhancements to these systems can lead to more efficient risk assessment, better trading decisions, and reduced operational losses.

Growth Opportunities:

• Specialization: Deepen expertise in specific technologies like advanced AWS services, big data platforms (Databricks), or specific financial risk modeling techniques.
• Leadership: Progress to Senior Software Engineer, Technical Lead, or Engineering Manager roles, taking on more complex projects, system architecture responsibilities, and team leadership.
• Cross-Functional Moves: Transition into roles focused purely on data engineering, cloud architecture, DevOps, or even business-facing product management within the financial technology domain.
• Continuous Learning: Opportunities for certifications in AWS, Java, Python, and financial technology, along with access to internal training programs and industry conferences.

📝 Enhancement Note: The "II" designation and the blend of development and support responsibilities suggest a role that offers a well-rounded experience, providing a strong foundation for diverse career paths within financial technology and operations.

🌐 Work Environment

Office Type: This is an on-site role, indicating a traditional office environment within JPMorgan Chase's Bengaluru campus. This setting fosters direct collaboration, team cohesion, and immediate access to resources.
Office Location(s): Bengaluru, Karnataka, India. Specific office building details would be provided upon offer. The location suggests a vibrant tech hub environment within India.

Workspace Context:

• A collaborative office space designed to facilitate team interaction, brainstorming, and knowledge sharing among engineers and stakeholders.
• Access to a robust technology infrastructure, including high-performance workstations, development tools, and secure network access.
• Opportunities for regular face-to-face interaction with team members, project managers, and business unit representatives, promoting a cohesive and efficient workflow.
• A professional corporate environment adhering to the standards and security protocols of a major global financial institution.

Work Schedule: The standard work schedule is likely Monday to Friday, with 40 hours per week. While the role is on-site, there may be some flexibility in daily start and end times, subject to team coordination and business requirements. Given the critical nature of production systems and financial markets, occasional extended hours, on-call rotations, or weekend work might be necessary to address urgent issues or support major deployments.

📝 Enhancement Note: The on-site requirement is typical for roles involving sensitive financial data and critical infrastructure, emphasizing security and direct collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume for initial fit.
• Technical Screening: Typically involves a coding challenge or a technical phone interview focusing on Java/Python, data structures, algorithms, and AWS concepts.
• On-site/Virtual Interviews: This stage usually includes multiple rounds:
  • Coding Interviews: Live coding exercises to assess problem-solving skills and proficiency in required languages.
  • System Design Interview: Discussion on designing scalable and robust systems, potentially involving AWS architecture and data management.
  • Behavioral Interview: Questions assessing teamwork, communication, problem-solving approach, and cultural fit with JPMorgan Chase's values.
  • Domain-Specific Interview: Questions related to financial markets, risk management, or specific technologies used by the Risk Central Tech team.
• Final Round: May involve a discussion with senior leadership or a hiring manager to confirm fit and discuss career aspirations.

Portfolio Review Tips:

• Curate Select Projects: Choose 2-3 significant projects that best showcase your skills in Java, Python, ReactJS, and AWS. Prioritize projects with clear problem statements, your role, and demonstrable outcomes.
• Highlight Operations Contributions: For projects involving system stability, L3 support, or data quality, clearly articulate the challenges faced, the solutions implemented, and the impact on system reliability and data integrity.
• Showcase Code Quality: Be prepared to discuss your approach to writing clean, maintainable, and secure code. If possible, provide links to public repositories (e.g., GitHub) or describe code snippets that demonstrate your best practices.
• Explain System Design: Be ready to walk through the architecture of your projects, explaining design choices, trade-offs, and how you addressed scalability, performance, and security concerns, especially concerning AWS services.
• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your contributions (e.g., "reduced bug resolution time by X%", "improved system uptime to Y%", "processed Z TB of data").

Challenge Preparation:

• Algorithms & Data Structures: Practice common algorithm problems (sorting, searching, graph traversal, dynamic programming) and data structure concepts (linked lists, trees, hash maps). LeetCode, HackerRank, or similar platforms are excellent resources.
• Java/Python Fundamentals: Brush up on core language features, object-oriented principles, error handling, and standard library functions.
• AWS Concepts: Understand key AWS services relevant to cloud data management, compute, and storage (e.g., EC2, S3, RDS, Redshift, Lambda).
• System Design: Familiarize yourself with principles of designing scalable, fault-tolerant, and performant systems. Consider common patterns for microservices, APIs, and data pipelines.
• Behavioral Questions: Prepare STAR method (Situation, Task, Action, Result) responses for common behavioral questions about teamwork, challenges, failures, and successes.

📝 Enhancement Note: A strong portfolio for this role should balance core software development achievements with evidence of operational acumen, particularly concerning system stability, data integrity, and efficient problem-solving in production environments.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Java, Python, JavaScript.
• Frameworks/Libraries: ReactJS (for UI), Spring Boot (common for Java backend), potentially others for Python web development.
• Databases: SQL (e.g., PostgreSQL, MySQL, Oracle), NoSQL databases (e.g., DynamoDB, MongoDB).
• Cloud Platform: Amazon Web Services (AWS) - EC2, S3, Lambda, Redshift, Aurora, etc.
• Version Control: Git (and platforms like GitHub, GitLab, Bitbucket).

Analytics & Reporting:

• Data Warehousing: Redshift, potentially Databricks.
• Data Analysis Tools: Python libraries (Pandas, NumPy), SQL.
• Visualization Tools: Tableau, Power BI, or custom dashboards built with JavaScript libraries.

CRM & Automation:

• CI/CD Tools: Jenkins, GitLab CI, AWS CodePipeline, or similar.
• Containerization: Docker, Kubernetes (potentially).
• Operating Systems: Unix/Linux.
• Scripting: Shell scripting.

📝 Enhancement Note: The technology stack is comprehensive, covering frontend, backend, database, cloud infrastructure, and operational tooling. Proficiency across these areas is expected for a Software Engineer II role in a sophisticated financial technology environment.

👥 Team Culture & Values

Operations Values:

• Integrity & Trust: Upholding the highest ethical standards in handling sensitive financial data and ensuring system reliability.
• Excellence: Striving for high-quality code, robust systems, and efficient operations, with a commitment to continuous improvement.
• Innovation: Embracing new technologies and creative problem-solving to enhance existing systems and develop cutting-edge solutions.
• Teamwork: Collaborating effectively with colleagues, sharing knowledge, and supporting each other to achieve common goals.
• Customer Focus: Understanding the needs of internal stakeholders (traders, risk managers) and delivering solutions that meet their requirements.
• Accountability: Taking ownership of tasks, responsibilities, and outcomes, particularly in production support and system stability.

Collaboration Style:

• Cross-functional Integration: Close collaboration with business units (risk management, trading) to understand requirements and deliver solutions that address business needs.
• Agile Teamwork: Active participation in daily stand-ups, sprint planning, and retrospectives, fostering an environment of open communication and continuous feedback.
• Knowledge Sharing: Encouraging the sharing of technical expertise, best practices, and lessons learned through code reviews, pair programming, and internal documentation.
• Process Improvement Focus: A collaborative approach to identifying inefficiencies in development or operational processes and working together to implement improvements.

📝 Enhancement Note: JPMorgan Chase's values emphasize professionalism, accountability, and a commitment to excellence, which are critical in the highly regulated financial services industry. The Risk Central Tech team will likely embody these principles with a strong focus on technical rigor and operational stability.

⚡ Challenges & Growth Opportunities

Challenges:

• System Complexity: Navigating and contributing to a large, integrated system with deep interdependencies within the financial markets domain.
• Production Support Demands: Balancing new feature development with the critical demands of Level 3 production support, requiring effective time management and problem-solving under pressure.
• Data Integrity & Security: Ensuring the accuracy, consistency, and security of vast amounts of sensitive financial data, adhering to stringent regulatory requirements.
• Rapid Technological Evolution: Keeping pace with the fast-changing landscape of cloud technologies, programming languages, and financial market demands.
• Cross-functional Alignment: Effectively communicating technical concepts and project status to diverse stakeholders with varying levels of technical expertise.

Learning & Development Opportunities:

• Advanced Technical Training: Access to specialized courses and certifications in AWS, Java, Python, data engineering, and cybersecurity.
• Financial Markets Education: Opportunities to deepen understanding of financial products, trading strategies, and risk management principles relevant to the business.
• Mentorship Programs: Participation in formal or informal mentorship programs with senior engineers and leaders within the organization.
• Conference Attendance: Opportunities to attend industry conferences (e.g., AWS re:Invent, JavaOne) to stay abreast of the latest trends and network with peers.
• Internal Mobility: Potential to move into specialized roles like Senior Engineer, Architect, DevOps Engineer, or even product management within the broader JPMorgan Chase technology organization.

📝 Enhancement Note: The challenges are typical for a role in a large financial institution, requiring adaptability, strong technical skills, and a commitment to continuous learning. The growth opportunities are substantial, reflecting the scale and resources of JPMorgan Chase.

💡 Interview Preparation

Strategy Questions:

• Technical Problem Solving: Be prepared for questions that require you to write code to solve a specific problem, analyze its time and space complexity, and discuss potential optimizations. Example: "Given a stream of stock prices, write a function to find the maximum profit you can achieve."
• System Design: Be ready to discuss how you would design a scalable system for a specific purpose, e.g., "Design a system to monitor real-time stock market data for anomalies." Focus on components, data flow, scalability, and fault tolerance.
• AWS & Cloud: Expect questions about specific AWS services you've used, their benefits, and how you'd leverage them for a given scenario (e.g., "How would you use AWS services to build a resilient data pipeline for financial reporting?").
• Data Quality & Support: Prepare to discuss your approach to ensuring data quality and your experience with Level 3 production support. Example: "Describe a challenging production issue you resolved and the steps you took to prevent recurrence."

Company & Culture Questions:

• JPMorgan Chase Values: Research the company's core values (Integrity, Respect, Collaboration, etc.) and prepare examples of how you've demonstrated these in your past roles.
• Teamwork & Collaboration: Expect questions about how you collaborate with team members, handle disagreements, and contribute to a positive team environment.
• Adaptability: Be ready to discuss how you handle change, learn new technologies, and adapt to evolving project requirements.
• Motivation: Understand why you are interested in JPMorgan Chase and this specific role within the Risk Central Tech team.

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly define the problem, your role and contributions, the technologies used, the challenges encountered, and the quantifiable results.
• Focus on Impact: Emphasize how your work contributed to business objectives, improved system performance, ensured data integrity, or enhanced operational efficiency.
• Technical Depth: Be prepared to dive deep into the technical details of your projects, explaining design choices, algorithms, and implementation specifics.
• Showcase Problem-Solving: Highlight instances where you had to overcome significant technical hurdles or resolve complex issues, especially those related to production support or data quality.
• Enthusiasm for Finance: If applicable, express genuine interest in the financial services industry and how technology plays a critical role.

📝 Enhancement Note: The interview process will likely be rigorous, assessing both technical depth and cultural fit. Candidates should prepare thoroughly for coding, system design, and behavioral questions, backing up their claims with concrete examples from their experience and portfolio.

📌 Application Steps

To apply for this Software Engineer II position:

• Submit your application through the provided Oracle Cloud portal link.
• Tailor Your Resume: Ensure your resume clearly highlights your proficiency in Java, Python, ReactJS, SQL, and AWS, along with any experience in L3 support, data quality, or financial systems. Use keywords from the job description.
• Prepare Your Portfolio: Select 2-3 key projects that best demonstrate your skills in software development, system design, and operational contributions. Be ready to discuss them in detail, focusing on impact and technical challenges.
• Practice Technical Questions: Dedicate time to practicing coding challenges, system design scenarios, and AWS-related questions. Utilize platforms like LeetCode and HackerRank.
• Research JPMorgan Chase: Understand the company's mission, values, and its role in the financial industry. Familiarize yourself with the Commercial & Investment Bank and the importance of risk management.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details, especially regarding compensation and specific interview processes, should be verified directly with the hiring organization before making application decisions.