Technology Support -application /production Support- Python Scrpting jobs at Jpmorgan in India, Bengaluru

Job Responsibilities:

• Lead large software development teams, fostering a culture of innovation, collaboration, and excellence.
• Provide strategic direction and mentorship to ensure alignment with organizational goals.
• Oversee the planning, execution, and delivery of complex software projects, ensuring they meet business requirements, timelines, and budget constraints.
• Implement best practices in project management and software development methodologies.
• Utilize extensive technical expertise in Python to develop scalable and robust software solutions.
• Ensure optimal design and implementation of data architectures.
• Leverage experience with JPMorgan's in-house risk management system, Athena, and demonstrate a comprehensive understanding of the trade lifecycle, risk management, and financial products, especially in commodities.
• Work with cross-functional teams to ensure seamless integration and functionality of software solutions.
• Promote innovation by staying updated on emerging technologies and industry trends.
• Champion Agile methodologies to enhance project delivery, team collaboration, and continuous improvement.
• Facilitate Agile ceremonies and ensure adherence to Agile principles.

Required qualifications, capabilities and skills:

• Formal training or certification on large scale technology program concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Advanced programming skills in Python and proficiency in Python web services frameworks.
• Proficiency in React and TypeScript for building scalable web applications.
• Proven success in leading large or cross-functional teams and collaborating effectively with diverse stakeholders.
• Experience in influencing complex organizations and delivering value at scale.
• Strong understanding of trade lifecycle, risk management, and financial products in investment banking.
• Exceptional leadership, communication, and interpersonal skills.
• Extensive practical cloud-native experience.
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred qualifications, capabilities and skills:

• Experience working at code level.
• Familiarity with JPMorgan's Athena RMS is preferred.

Job responsibilities

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate
• Collaborates with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines
• Collaborates with other software engineers and teams to design, develop, test, and implement availability, reliability, scalability, and solutions in their applications
• Mentor, Coach other Junior fellow SRE members in the location and act as point of contact for driving SRE practices for the team
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems
• Understands service level indicators and utilizes service level objectives to proactively resolve issues before they impact customers
• Supports the adoption of site reliability engineering best practices within your team

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 3+ years applied experience
• Be the point of contact for all day 2 day SRE operations for the team
• Ability to code in at least one programming language
• Familiar with site reliability concepts, principles, and practices
• Familiar with observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
• Experience maintaining AWS Cloud-base infrastructure AWS/LAMDA/S3/Route 53/Redshift/ECS/EC2/CloudWatch/Auto scaling
• Familiarity with containers or a common Server OS such as Linux and Windows
• Knowledge of software, applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, Incident and Change management Process, Experience/ knowledge of GOOGLE SRE Process )
• Knowledge of Tools and concepts like Control-M, Autosys, POSTMAN/Swagger, SERVICE NOW, SQL/ORACLE/My SQL / Python/ PowerShell/OOP
• Knowledge of continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform, CICD/GITHUB/ Bitbucket

• Knowledge of common networking technologies like SSH, SMTP, SFTP, HTTPS

• Good to have Docker/ fluent
• ITIL Version 3.0 or Greater
• General Knowledge of financial services industry

Job Responsibilities

• Respond to incidents and coordinate staff follow up, including necessary investigation and risk mitigation, in partnership with LOB business management, corporate partners, and local law enforcement.
• Develop and maintain relationships and lines of communication with law enforcement agencies, key LOB partners and management, participate in key management meetings to maintain visibility and open lines of communication, and coordinate plans to mitigate known civil disturbances, protests, etc. that have proximity or target company locations and personnel.
• Manage guard force in assigned facilities.
• Perform periodic security review and risk assessment at assigned facilities and conduct periodic security and personal safety training.
• Support security infrastructure projects at assigned properties.
• Be available for after-hours response to emergency incidents.
• Travel on occasion to assist with corporate events security and executive protection support as needed.

Required Qualifications, capabilities, and skills

• College degree from a 4-year accredited university and 10+ years of security management experience with corporate security local/state/federal law enforcement, or military.
• Hands on experience in performing risk analysis, identifying vulnerabilities, conducting threat modelling, and performing security reviews
• Advanced analytical skills, decision making capability, strong critical thinking and high degree of comfort in fast-paced dynamic/ambiguous environment operating with initiative from the strategic to tactical level
• Strong security product knowledge and investigative experience
• Attention to detail and delivery oriented, able to effectively plan and track to prescribed timeline, excellent follow-through
• Strong interpersonal and influencing skills, able to work with multiple teams, including the ability to effectively lead a team or work unit
• Hands on experience in performing risk analysis, identifying vulnerabilities, and performing security reviews
• Experience in information gathering, tracking, and consolidation, reporting, dashboards, and presentations
• Knowledge of physical security technology systems and strong familiarity with physical and procedural security concepts
• Self-starter and motivated, flexible and comfortable working with multiple competing timelines and able to operate with limited supervision
• Effective ability to communicate in a concise manner both in speaking writing and leveraging Word, Excel, and PowerPoint

We are seeking a software engineer with expertise in python and prior experience in utilizing LLMs. As an LLM Engineering Lead within Asset and Wealth Management you will be collaborating closely with various teams to prototype, build, test and deploy a large scale federated LLM platform. You will work with an agile team that will work on building, and delivering trusted market-leading technology products in a secure, stable, and scalable way. You will partner with our Global Data Science teams to design, develop, deploy and operate machine learning driven applications and data pipelines.

Job responsibilities

• Hands on involvement in building and operating highly sophisticated LLM driven applications.
• Partnering directly with other technology teams on LLM projects to advise and assist as needed.
• Collaborating with engineering teams, product, to deliver state of the art LLM based solutions.
• Executing creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Developing secure high-quality production code, and reviews and debugs code written by others.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Educated to degree level in a computer science or related discipline.
• Advanced python programming skills.
• Proven experience in building and operating scalable ML-driven products.
• Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) and hands on experience in Azure and AWS
• Proficiency with cloud technologies like Kubernetes, Airflow.
• Experience working in a highly regulated environment.
• Proven ability to iterate quickly.
• Proficient in all aspects of the Software Development Life Cycle.
• Terraform, IaaC experience.
• Experience with design & delivery of large scale cloud-native architectures and microservices performance tuning, performance optimization, real-time applications.

Preferred qualifications, capabilities, and skills

• Experience with financial data and data science.

Job responsibilities

• Establish and promote a library of common ML assets, including reusable ML models, features stores, data pipelines, and standardized templates.
• Lead efforts to create shared tools and platforms that streamline the end-to-end ML lifecycle across the organization.
• Create curative solutions using GenAI workflows through advanced proficiency in large language models (LLMs) and related techniques
• Gain Experience with creating a Generative AI evaluation and feedback loop for GenAI/ML pipeline
• Advise on the strategy and development of multiple products, applications, and technologies. Lead advisor on the technical feasibility and business need for AIML use cases.
• Leverage AI/ML to generate insights and recommendations for business actions, to reduce costs, to increase capabilities, to enhance controls, and to improve employee experiences.
• Build and manage team with responsibility for developing and delivering AI/ML solutions to support AWM - GPB Operations and Core Technology Product Areas
• Drive internal development, promote reuse and partnership of AI/ML techniques and tools with groups across the firm, and leverage vendor solutions, as appropriate
• Partner with AWM AI/ML and Architecture teams to architect and implement scalable, cost effective, enterprise quality data and analytics systems
• Ensure conformance with all applicable controls, policies, and procedure

Required qualifications, capabilities, and skills

• Formal training or certification on Machine Learning concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
• Demonstrated management skills in leading data scientists
• MA/MBA or PhD/ScD in quantitative discipline relating to data science or statistics
• Expertise with modern AI/ML algorithms, techniques, software, and their practical application to build enterprise scale solutions
• Practical experience with statistical data analysis and experimental design
• Practical software development experience in collaborative project settings, including rapid prototyping and disciplined software development processes
• Leadership and executive presence – demonstrated credibility as a thought leader and influencer
• Strong project management skills – track record of driving execution and delivery
• Excellent communications skills – can concisely, clearly, and accurately share ideas