Senior Principal Software Engineer jobs at Jpmorgan in India, Bengaluru

Job Responsibilities:

• Use domain modeling techniques to build best-in-class business products.
• Structure software for ease of understanding, testing, and evolution.
• Build scalable solutions that avoid single points of failure.
• Develop secure code to protect customers and the company from malicious actors.
• Investigate and resolve issues promptly, ensuring they do not resurface.
• Ensure zero downtime for end-users during releases.
• Optimize data writing and reading for our needs.
• Monitor performance and identify solutions to problems.
• Ensure systems are reliable and easy to operate.
• Continuously update technologies and patterns to keep us current.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Experience with JVM-based languages (Java/Kotlin) and cloud-native solutions.
• Familiarity with open-source technologies and multi-cloud solutions.
• Ability to independently assess problems and select appropriate technologies.
• Willingness to explore new solutions while focusing on long-lasting, real-world problem-solving.
• Desire to teach and share knowledge, valuing team collaboration over individual heroics.
• Ability to adjust quickly to changing priorities and conditions.
• Long-term vision, choosing technologies and approaches based on end goals.
• High standards for personal and team performance.

Preferred Qualifications, Capabilities, and Skills:

• Initiative to shape your own path with a pragmatic and iterative approach.
• Ethical integrity, earning and maintaining trust.

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, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 10+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Familiar with Tririga Development, Space Management,
• Exposure to Tririga UX Development
• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Exposure to IBM Tririga Application Version Upgrade / Platform Upgrade is a plus
• Understanding of architecture and design across all systems
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Use of APM tools, profiling tools and performance tuning process management, scalability

Preferred qualifications, capabilities, and skills

• Familiarity with Agile methodologies such as Scrum, Kanban, SAFe
• Ability to work as a lead and independently and be self-motivated
• Fast learner and ability to solve complex problems

Job responsibilities

• Design and develop elegant solutions to specific interaction problems and ensure consistency across multiple products and platforms while adhering to industry best practices
• Apply advanced knowledge of information architecture and storyboarding to create user-centric designs that enhance navigation, findability, and overall user satisfaction
• Conduct data-driven analyses to inform design decisions and use data to transform raw information into valuable insights to inform decision-making
• Collaborate with cross-functional teams to incorporate inclusive design principles and accessibility guidelines to ensure our products and services cater to a diverse range of users
• Operate with an iterative design mindset and incorporate user feedback and insights to continuously improve the overall user experience of our offerings
• Assist in the analysis of market trends, user research studies, and user behavior analyses to inform design decisions and contribute to the team's strategic thinking

Required qualifications, capabilities, and skills

• 3+ years in a user experience design or equivalent role dedicated to improving experiences with digital products and services
• Proven ability to create visually appealing and functional designs using industry-standard tools (e.g., Figma, Sketch, or Adobe Creative Suite)
• Demonstrated experience in designing and optimizing user experiences across multiple platforms, including web, mobile, and other digital channels
• Previous experience interpreting complex data and transforming it into actionable insights for informed decision-making
• Proficient understanding of inclusive design principles, accessibility guidelines, and assistive technologies, with a history of creating accessible and inclusive digital experiences
• Examples of recent work/portfolio required

As a Technology Support III team member in Commercial & Investment Bank - Payments Technology team, you will ensure the operational stability, availability, and performance of our production application flows. Encourage a culture of continuous improvement as you troubleshoot, maintain, identify, escalate, and resolve production service interruptions for all internally and externally developed systems, leading to a seamless user experience.

Job responsibilities

• Provides end-to-end application or infrastructure service delivery to enable successful business operations of the firm
• Supports the day-to-day maintenance of the firm’s systems to ensure operational stability and availability
• Assist in the monitoring of production environments for anomalies and address issues utilizing standard observability tools
• Identify issues for escalation and communication, and provide solutions to the business and technology stakeholders
• Analyze complex situations and trends to anticipate and solve incident, problem, and change management in support of full stack technology systems, applications, or infrastructure

Required qualifications, capabilities, and skills

• 3+ years of experience or equivalent expertise troubleshooting, resolving, and maintaining information technology services
• Demonstrated knowledge of applications or infrastructure in a large-scale technology environment both on premises and public cloud
• Experience in observability and monitoring tools and techniques
• Exposure to processes in scope of the Information Technology Infrastructure Library (ITIL) framework
• Knowledge of one or more infrastructure components such as networking, cloud services, orchestration tools, containerization, compute and storage systems
• Experience in service-level changes to a system and troubleshooting components
• Experience in a production support environment
• Experience with creating Alerts, Dashboard monitoring with Splunk, Dynatrace, Datadog and Grafana monitoring tools.
• Working knowledge of the Unix/Linux environment
• Solid working background in AWS

Preferred qualifications, capabilities, and skills

• Experience with one or more general purpose programming languages and/or automation scripting
• Working understanding of public cloud

Job responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
• Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
  

Required qualifications, capabilities, and skills

• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 3 years of industry or research experience in the field.
• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred qualifications, capabilities, and skills

• Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
• Knowledge in search/ranking, Reinforcement Learning or Meta Learning
• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal

Job responsibilities

• Advises and leads on the strategy and development of multiple products, applications, and technologies across a portfolio
• Creates novel code solutions and drives the development of new production code capabilities across teams and functions
• Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about technology advancements
• Drives adoption and implementation of technical methods in specialized fields in line with the latest product development methodologies
• Creates durable, reusable software frameworks that are leveraged across teams and functions
• Influences across business, product, and technology teams and successfully manages senior stakeholder relationships
• Champions the firm’s culture of diversity, opportunity, inclusion, and respect