Lead Infrastructure Engineer - Network Engineering Identity Services 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

As the Vice President within the Waterfall & Fee Analytics team, you will be responsible for managing a team of skilled waterfall developers and overseeing the implementation and execution of waterfall solutions for AFS clients. You should possess strong communication skills and will be required to engage with clients, vendors, and internal teams to build out waterfall models for new onboardings, maintain existing waterfall models, scope out requirements, and participate in the development of the waterfall function and platform. As part of the wider Product Development function, there will be opportunities to contribute to the development and optimization of the broader AFS technology platform.

Job responsibilities:

• Manage a team of waterfall developers locally in our Bangalore office, and support model build outs.
• Implement bespoke waterfall solutions for our AFS Clients, working closely with client services and fund accounting teams.
• Liaise with third party technology providers to ensure continued robust support and governance framework.
• Onboard new Alternative funds onto Cascade (waterfall system) and maintain existing models.
• Analyse LPAs and Side-Letters to derive calculation methodology of distributions and carried interests, and select the most appropriate model.
• Contribute to the improvement of the strategic waterfall platform, focusing on efficiency, processes, and controls, with quality control procedures to ensure solutions are defect free.
• Collaborate with the data teams to ensure data hygiene in Investran for funds to be compatible with respective waterfall solutions.
• Work with fund accounting teams during fund on-boarding to devise accounting strategies compatible with respective waterfall solutions.
• Provide continued post on-boarding support to ensure smooth functioning of waterfall solutions.
• Work with the reporting team to devise appropriate reporting solutions.
• Participate in development of the broader AFS technology platform.

Required qualifications, skills and capabilities :

• Strong Leadership, communication, and presentation skills, with the ability to interact at all levels (both internal and client)

• Self-starter with a proven track record in Alternative fund administration

• Deep techno-functional expertise of FIS Investran and Deloitte Cascade.

• Experience in supporting Alternative fund administration.

• Expert knowledge of PE/AFS waterfall calculations, including the ability to analyze LPAs.

• Strong organisational skills to clearly gather and document requirements with fund accountant and client services.

• Competency to convert the requirements into appropriate technical solutions.

• Proven financial and analytical skillset.

• Robust organizational and planning skills, with the ability to manage many tasks at once in a structured manner

• An ability to work in teams distributed across the globe and travel to onshore offices

Preferred qualifications, skills and capabilities :

• Crystal, SSRS, Tableau, SQL and/or VBA skills would be an advantage.

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