JPMorgan Lead Software Engineer DevOps/Terraform 

United States, New Jersey, Jersey City 

21037066

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 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
• 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
• Proposes, reviews and deploys application Infrastructural Architecture changes to ensure the most cost effective, resilient, stable operation

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• DevOps and/or FinOps experience in a cloud environment and Terraform.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming languages like python, shell scripting, java.
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• 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 etc.

• 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