Technical Program Manager Iii jobs at Jpmorgan in India, Bengaluru

Job Summary

As a Vice President, Payroll Product Delivery Manager within the HR Global Operations Team, you will play a key role in the continued innovation and sustainment of the ADP Global View Payroll, related suite of applications, and business processes. You will be critical in defining the evolution of the platform, bringing efficiencies to processes and experiences that run across the function for all current/former employees, managers, and HR professionals firmwide.

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

• 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

• 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 3+ years applied experience
• Hands-on experience with cloud-based applications, technologies and tools, deployment, monitoring and operations, such as Kubernetes, Prometheus, FluentD, Slack, Elasticsearch, Grafana, Kibana, etc.
• Relational and NoSQL databases; developing and managing operations leveraging key event streaming, messaging and DB services such as Cassandra, MQ/JMS/Kafka, Aurora, RDS, Cloud SQL, BigTable, DynamoDB, MongoDB, Cloud Spanner, Kinesis, Cloud Pub/Sub, etc.
• Networking (Security, Load Balancing, Network Routing Protocols, etc.)
• Demonstrated experience in the fields of production engineering and automation.
• Strong understanding of cloud technology standards and practices.
• Proficiency in utilizing tools for monitoring, analysis, and troubleshooting, including Splunk, Dynatrace, Datadog, or equivalent.

Preferred qualifications, capabilities, and skills

• Ability to conduct detailed analysis on incidents to identify patterns and trends, thereby enhancing operational stability and efficiency.
• Familiarity with digital certificate management and automation tools.
• Knowledge of frameworks such as CI/CD pipeline.
• Excellent communication and collaboration skills.

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 3+ years applied experience
• Full stack developer with strong Java & Angular/React programming skills
• Proficient in coding in Core Java, Kafka, Oracle, Multi-threading, Microservices, Java Design Patterns
• Experience on Spring Core Framework, Spring Boot. Hands-on practical experience in system design, application development, testing, and operational stability
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Experience with Testing Frameworks JUnit, Powermock / Mockito, Cucumber, Selenium, Puppeteer
• Experience with integration Test frameworks PactFlow, Karate
• Experience with Messaging Protocols Kafka, IBM MQ, RESTful HTTP
• Experience with Database Oracle, MSSQL
• 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

• Familiarity with modern front-end technologies
• Exposure to cloud technologies/ AWS
• Experience in JAVA programming language and NoSQL Databases