דרושים Security Engineer Iii - Secure Software Development ב-גיי פי מורגן ב-United States, Texas, Plano

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s): Java, Python, React, Kotlin, AWS, AI/ML
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Demonstrate strong leadership skills to effectively guide and motivate teams towards achieving organizational goals
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

• AWS Services, Dynamo, MongoDb

Job responsibilities:

• Executes 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
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to promote outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to promote awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering principles and 5+ years applied experience.
• Hands-on practical experience iOS application development.
• Experience in one or more programming language(s)
• Experience in automation and continuous delivery methods
• Experience in all aspects of the Software Development Life Cycle
• Experience in agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Proficiency in Swift, SwiftUI, UIKit, CoreData, Combine, and other iOS frameworks.
• Experience working in system design, architectural patterns (MVC, MVVM, VIPER, etc.), and design principles.

Preferred qualifications, capabilities, and skills:

• Knowledge of Cloud technologies (AWS, Firebase, etc.)
• Familiarity with TestFlight, Swift Package Manager, CocoaPods, and dependency management

Job Responsibilities

• Work on some of the most complex problems imaginable at the intersection of two dynamic industries: Finance and AI
• Work with software engineers, data scientists, and Business stakeholders to develop and deliver products that can change the way our clients operate, how we service our clients, and how Banking is done today
• Working with stakeholders across the various businesses (Markets, Operations, Investment Banking, etc.) and functional groups (Legal, Technology, Middle Office, Business Management) to collect business requirements, create PRDs and ship products
• Managing and prioritize initiatives that are requested by stakeholders
• Provide comprehensive updates on product and use case status to senior management and stakeholders
• Maintain a comprehensive understanding of use cases across the MLCOE portfolio, facilitating connections among individuals addressing similar challenges

Required Qualification, capabilities and skills:

• 7+ years of Project Management experience building applications from conception to launch
• Experience capturing and analyzing requirements (internal and external) and ability to build strong partnerships with technical teams
• Experience deploying and managing chatbots with Large Language Models and without
• Able to identify critical requirements and potential gaps by understanding complex and interdependent processes
• Basic understanding of AI/ML concepts through experience or coursework
• Experience with working with engineers and data scientists towards building products is a must-have
• Experience with the end-to-end software engineering development lifecycle
• Excellent verbal and written communication skills
• Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities and skills:

• Experience with JIRA, MS Office suite, and various request ticketing systems
• Experience with agile methodology (running scrums, sprint planning, etc)
• Scrum Master certification a plus
• Prior experience as an AI/ML Project Manager
• GenAI experience is a plus
• Familiarity with data science model development lifecycle (data preparation, model training, etc.)

As a Generative AI Software Engineer II at JPMorgan Chase within the Corporate Sector, CTO office, you will be instrumental in promoting the progress and application of state-of-the-art AI technologies. Your role will focus on key development tasks, leveraging your expertise to enhance the design and execution of pioneering generative AI frameworks.

Job Responsibilities:

• Generative AI Development : Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives.
• Technical Expertise : Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies to enhance AI capabilities.
• Programming Proficiency : Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code.
• Front-End Development : Utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
• Cloud Integration : Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
• Automation and Stability : Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
• Collaboration : Work closely with cross-functional teams to contribute to the evaluation and refinement of architectural designs for AI systems, ensuring scalability and robustness.
• Continuous Learning : Engage in communities of practice to stay updated on new generative AI technologies, fostering a culture of continuous innovation.
• Team Culture : Support a team culture of diversity, equity, inclusion, and respect, fostering an environment conducive to innovative AI development.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on Programming Proficiency concepts and 2+ years applied experience.
• Programming Proficiency: Minimum 2+ years of strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch.
• Generative AI: one year of experience in generative AI development and prompt engineering.
• System Design: Proven experience in system design, application development, testing, and operational stability in AI projects.
• Front-End Development: Minimum of one year of strong experience with React or Angular.
• Cloud Expertise: one year of AWS experience is a must-have.

Preferred qualifications, capabilities, and skills:

• A passionate interest in staying current with the latest development trends and exploring innovative AI technologies.
• Tool Proficiency: Experience with LLM models and agentic tools.
• Agile Methodologies: Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.

Job Description:

As a Data Engineer - Databricks in our Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.

Job Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Provide guidance to the immediate team of software engineers on daily tasks and activities.
• Set the overall guidance and expectations for team output, practices, and collaboration.
• Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
• Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Formal training or certification on software engineering concepts and applied experience.
• Hands-on experience in data mapping, data architecture, and data modeling on Databricks.
• Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python, PySpark on Databricks.
• Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional).
• Strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences.
• Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).
• Experienced in standing up and maintaining EC2/ECS instances, S3, Glue, and Lambda services.
• Experience in building Notebooks with complex code structures and debugging failed jobs.
• Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
• Proven ability to deliver high-quality features into production systems in a rapid-paced, iterative development environment.

Preferred Qualifications, Capabilities, and Skills:

• Experience with machine learning and data science workflows.
• Familiarity with data visualization tools and techniques.
• Knowledge of data governance and security best practices.
• Experience in carrying out data analysis to support business insights.

Job responsibilities:

• Leads technology and process implementations to achieve functional technology objectives.
• Delivers technical solutions that can be leveraged across multiple businesses and domains.
• Influences peer leaders and senior stakeholders across the business, product, and technology teams
• Contribute to the design and implementation of a strategic high-volume, high-resilience data processing systems for surveillance and retention.
• Be part of the Global Technology organization spread across of US and APAC to provide end to end design, build and delivery.
• Work collaboratively to ensure team and organization standards are followed and the team is consistently focused on continuous improvements and sustained delivery.
• Employ simple design and pragmatic implementation techniques to promote business value.
• Pair program with team members to build high-quality solutions.
• Be passionate about technology and constantly seek ways of learning new technology and practices
• Mentor junior team members to progress their technical and professional skills. Be open and actively seeking learn.

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Software engineering experience, with firm understanding of various design patterns, cloud native microservices architecture and engineering practices.
• Strong experience working with Java, Spring Boot and Oracle, along with good understanding of Maven build tooling.
• Comfortable in more than two programming languages with a strong understanding of fundamental web/internet technologies.
• Experience with both Private and Public clouds ranging from IaaS to PaaS solutions. Hands on experience with Docker, Kubernetes, AWS EKS and ECS is required.
• Practical experience with unit testing using tools like JUnit or Mockito
• Experience developing or leading cross-functional teams of technologists.
• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills:

• Proficient in SQL preferably across multiple databases.
• Grafana, Cortex, Kibana, Datadog, Cloudwatch, NuGet, JFrog Artifactory experience preferred.