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Principal Software Engineer - Apache Cassandra

JPMorgan Chase
Columbus, USA
Full-time
Senior · 10+ years experience
Onsite
Discovered 3 weeks ago

Full Job Posting

  • Creates complex and scalable coding frameworks using appropriate software design frameworks
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Collaborate with a skilled engineering team to develop automation and self-service tools for Cassandra across private and public clouds
  • Focus on delivering a consumer-driven, world-class Cassandra platform for JPMorganChase's critical systems, enhancing customer experience
  • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Advises cross-functional teams on technological matters within domain of expertise
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
  • Creates durable, reusable software frameworks that are leveraged across teams and functions
  • Influences leaders and senior stakeholders across business, product, and technology teams
  • Formal training or certification on infrastructure engineering concepts and 10+ years applied experience
  • Understanding of cloud, virtualization, APIs, and modern software languages
  • Software development experience in Java programming language
  • Excellent organizational skills with the ability to manage multiple tasks and priorities efficiently
  • Advanced experience working with two or more of the following: web application development, database, Unix/Linux environments, distributed and parallel systems, information retrieval, networking, large-scale software development, security software development
  • Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse. Understanding or experience with agile and lean philosophies
  • Experience with automation and configuration management tools such as SaltStack and Ansible or similar tools, including basic knowledge of Linux configuration and operations
  • Knowledge of concepts related to Database Reliability Engineering (DBRE)
  • Ability to read and understand source code
  • Experience with UI/UX development
  • Previous contributions to open-source software is a plus
  • Demonstrated expertise in designing, implementing, and optimizing solutions using DynamoDB, including experience with data modeling, query optimization, and performance tuning

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