As a Software Engineer III, you will design and deliver technology products in a secure and scalable manner. Your responsibilities include software solutions development, code maintenance, data analysis, and improvement of software applications, while leading efforts in the DevOps space within a cloud environment.
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Consumer & Community Banking you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
As part of Devops/Finops responsibilities you will maximizes the value of cloud agnostic solutions, enable timely data-driven decision-making, Code Build, Deploy (CI/CD) and create financial accountability through collaboration between some of the world's leading Developers, QA, Application Owners, engineering, Architecture, finance, and business teams. You will get to influence design, development, test and deploy exciting applications and cloud-native microservices, transforming the business processes and user experience for JPM's Customer Acquisition and Marketing Platform.
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, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years of applied experience including DevOps and/or FinOps in a cloud environment.
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in one or more languages
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- In-depth knowledge of the financial services industry and their IT systems
- Very good communication & Presentation skills with an ability to articulate technical matters to a broad audience.
- Practical cloud deployment experience in AWS Cloud services and native data technologies such as AWS EMR, Glu, Lambda, MSK, RDS, Document DB, EC2, EKS etc.
Preferred qualifications, capabilities, and skills
- Understanding of database design concepts (Pluggable DB's) and data modeling for relational or nonrelational databases such as RDBMS (Oracle/Postgres), No SQL (MongoDB, Cassandra) or NewSql (Cockroach DB) and search DB's like Elasticsearch incorporating multi-master across multi-regions.
- Understanding of data design & modeling principles as well as architecture patterns such as data lake, lakehouse, data mart, data fabric and data mesh with experience in Data migrations and Open/Linked data media types such as RDF, Turtle, JSON-LD will be useful.
- Experience with deploying to public and/or private cloud ideally with multi-cloud experience, ideally Cloud agnostic (Snowflake or another public cloud) and Active/Active across region designs, AWS Solution Developer, DevOps, FinOps Certificates etc. is a plus.
- Experience in one or more big data processing frameworks such as Spark, Flink, Storm etc. with stream processing experience using Kafka.
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