Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Partner with product managers, security, data, and platform teams to align on priorities and deliver secure, compliant solutions.
Owns remediation of engineering hygiene issues (e.g. vulnerability findings, dependency upgrades, test coverage gaps) and drives sustainable remediation through automation, standards and measurable quality targets.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and applied experience.
Solid troubleshooting skills with attention to detail; ability to balance delivery speed with quality and reliability.
Strong hands-on experience in Java software engineering.
Front-end visualization experience using React (or similar).
Practical experience with AWS and cloud-native infrastructure: AWS ECS/EKS/S3, Kubernetes, containers, and terraform for infrastructure as code.
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Proven experience across the SDLC: design, development, testing, deployment, and operations in a large corporate environment.
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Effective communicator and team player; comfortable collaborating across engineering, product, and operations teams.
Preferred qualifications, capabilities, and skills
Proficiency in Python for data processing, automation, and service integration (e.g., ETL/ELT jobs, orchestration, or platform tooling).
Demonstrated expertise in Agile/Scrum practices, including facilitating ceremonies (standups, planning, refinement, reviews, retrospectives), backlog hygiene, and flow-based execution (Scrum).
Working knowledge of Snowflake data warehousing.
