Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.
As a Software Engineer III - Senior Associate at JPMorgan Chase within the Corporate & Investment Bank Technology team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.
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
- Experience developing LLM-based applications and solutions using artificial intelligence (AI) products.
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Reviews and debugs code written by others
- Leads evaluation sessions with internal teams to drive outcomes-oriented probing of architectural designs and technical credentials
- Uses enterprise-authorized AI capabilities within work environment to accelerate infrastructure analysis, option evaluation, and design documentation, validating outputs and handling data according to sensitivity and security requirements.
- Contributes to software engineering communities of practice and events that explore new, cutting edge emerging technologies
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
- Applies reuse-first, AI-assisted practices within delivery/toolchain routines to identify recurring infrastructure issues and improvement opportunities, ensuring changes are validated and aligned to resiliency and security expectations.
Required Qualifications, Capabilities, and Skills:
- Bachelor’s degree or certification on software engineering concepts and 3+ years of experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability with Experience implementing open source frameworks such as Spring Boot and overall knowledge of the Software Development Life Cycle.
- Proficient in coding in one or more languages. Hands-on experience in coding highly scalable, resilient UI micro services JavaScript framework React, React JSON Library, Java, using Messaging e.g. Kafka, developing databases objects in Cloud Native DBs
- Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security. Proficiency in automation and continuous delivery methods
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure architecture workflows with strong validation habits and awareness of data sensitivity.
- Ability to assess and validate AI-assisted infrastructure recommendations before adoption, escalating uncertainty and ensuring outcomes align to resiliency, security, and auditability expectations.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with DevOps practices for software deployment and monitoring.
- Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
- Experience with distributed computing frameworks, such as Apache Spark.
- Experience in implementing SRE practices to improve system reliability and performance.