As a Software Engineer III at JPMorgan Chase within the Software Engineering department, you will have an exciting and rewarding opportunity to take your software engineering career to the next level. You will be part of a team that maximizes the value of cloud agnostic solutions, ensures correct templated architectural designs, enables timely data-promoten analysis monitoring and visibility solutions, and explores emerging technologies such as AI to promote best in class.
As part of SRE responsibilities you will maximize the value of cloud agnostic solutions ensuring correct templated architectural designs are employed to maximize resiliency and stability, enable timely data-driven analysis monitoring and visibility solutions incorporating well-defined SLI/SLO’s with error budgets, Build and deploy Infrastructure as code in CI/CD, reduce toil with suitable automation and be accountable for blameless RCA’s. You will collaboration between some of the world’s leading Developers, QA, Application Owners, engineering, Architecture, finance, and business teams and explore emerging technologies such as AI to drive best in class. You will get to influence modern designs, develop, 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 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
- Lead evaluation sessions with external vendors, startups, and internal teams to drive 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 drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, equity, inclusion, and respect
- Review all Applications issues/Infrastructure failures as part of RCA process understand true scope and develop/implement remediation plans.
- Ensure all deployments have scalable architected designs and there are no choke point capacity issues.
- Review architecture and design artifacts for complex applications accountable for ensuring where appropriate highly resilient stable designs
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems to produce standardized metrics to show application health and break point volumes.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years of applied experience including SRE in a cloud environment.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- Proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Demonstrated proficiency in 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
- Strong 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, ECS, Oracle, Aurora, Dynamo DB etc.
- Carry out critical Development & SRE operations across multiple technical areas as an integral part of an agile team.
- Experience in one or more big data processing frameworks such as Spark, Flink, Storm etc. with stream processing experience using Kafka.
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.
- Understand the power of AI/ML against appropriate data to drive operational excellence