Software Engineer III - Python, Java, Observability, OTel, Dynatrace

🏢 JP Morgan
📍 Mumbai, IndiaFull-timeOn-site
📅 Posted: 6d ago🔄 Updated: 6d ago
CV%
✨ AI Summary
As a Software Engineer III at JPMorganChase, you will be a seasoned member of an agile team responsible for designing and delivering market-leading technology products securely and scalably within the Commercial & Investment Bank. Your role involves executing software solutions, designing, developing, and troubleshooting technical problems with innovative approaches. You will create secure, high-quality production code, maintain algorithms, and leverage enterprise-authorized AI coding assist tools to enhance code quality and productivity. You will also produce architecture and design artifacts, analyze and synthesize data for continuous improvement, and proactively identify issues to drive system enhancements. The position requires 3+ years of applied software engineering experience, hands-on system design, application development, testing, and operational stability. Experience with modern programming languages, database querying, AI-assisted development tools, responsible AI use, the Software Development Life Cycle, and agile methodologies (CI/CD, Application Resiliency, Security) is essential. Specific experience with OpenTelemetry, Python, Java, Dynatrace, Splunk, Grafana, Geneos, and Prometheus is also required. Familiarity with modern front-end and cloud technologies is preferred.
Required Skills
Information Technology
PythonJavaOpenTelemetryGrafanaPrometheusSSISCI/CDCloud SecuritySolution ArchitectureDebugging
Other
DynatraceSplunkGeneosSoftware Development Life Cycle
Business, Sales & Management
Agile
Soft Skills & Professional Competencies
ResilienceData Analysis
Engineering, Construction & Trades
Troubleshooting
Nice to have:
Other
Front-end technologiesCloud technologies
Requirements
Requires formal training or certification in software engineering concepts with 3+ years of applied experience. Must have hands-on experience in system design, application development, testing, and operational stability, including developing, debugging, and maintaining code in a large corporate environment using modern programming languages and database querying languages. Experience with AI-assisted software development tools, understanding of responsible AI use, and knowledge of the Software Development Life Cycle and agile methodologies are essential. Proficiency with OpenTelemetry, Python, Java, Dynatrace, Splunk, Grafana, Geneos, and Prometheus is required.
Description
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 the Commercial & Investment Bank, 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
  • 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
  • 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
  • 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
  • Experience with OpenTelemetry (agent setup and instrumentation patterns), Python and Java (instrumentation and troubleshooting), Dynatrace (dashboards, DQL), Splunk (log analytics/search), Grafana (dashboarding), Geneos (alerting) and Prometheus (time-series metrics)
 
Preferred qualifications, capabilities, and skills
 
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00