Software Engineer III - AWS, Python, Snowflake
JPMorgan Chase & Co.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer, mid-level generalist title, and common in-demand skills create high applicant competition.
Skills transferable across industries, but enterprise financial and responsible-AI expectations raise specificity.
Mandatory 3+ years and required Snowflake, AWS, Terraform, and Python skills enforce strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and troubleshoot secure, stable, and scalable software solutions across multiple technical areas to support firm business objectives.
Produce architecture and design artifacts ensuring software code meets design constraints and maintain high-quality production code with synchronous algorithms.
Utilize enterprise-authorized AI-assisted coding tools to improve code quality, delivery speed, and productivity while validating AI-generated outputs through peer review and automated testing.
Minimum Requirements
3+ years of applied experience with formal training or certification in software engineering concepts.
Strong proficiency in Python, Terraform, Snowflake, AWS, and working knowledge of Software Development Life Cycle tools including source control and delivery tooling.
Hands-on experience in system design, application development, testing, production support, and operational stability in a large corporate environment.
Experience using enterprise-authorized AI-assisted software development tools and understanding of responsible AI use in secure engineering workflows.
Ideal Candidate Profile
Experienced in complex software system design and development with ability to produce design and architecture artifacts ensuring code meets specified constraints.
Comfortable working within agile teams using methodologies such as CI/CD, with emphasis on application resiliency and security.
Skilled in critically evaluating and refining AI-generated code outputs, understanding security and data sensitivity implications in AI-assisted workflows.