AWS Lead Engineer: Big Data & AI-Driven ETL

JPMorganChase; Wilmington (DE); In loco; USD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

comprehensive health care coverage

on-site health and wellness centers

a retirement savings plan

backup childcare

tuition reimbursement

mental health support

financial coaching

and more

Descrizione del lavoro

JPMorganChase seeks an AWS Lead Software Engineer-Big Data/ETL to join the Corporate Sector's Model Delivery and Platform Engineering team. You will be a core technical contributor delivering trusted, scalable technology products in a secure environment and coordinating across product and engineering teams to drive AO workstreams.

Strong cloud, data processing, and SRE skills are essential. The role emphasizes automation, secure data handling, incident management, and adoption of enterprise

Competenze

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proven track record designing, coding, testing, and delivering production-grade software in at least one technology stack
• Advanced development experience in Java or Python, with excellent debugging/troubleshooting skills for complex production issues
• Hands-on experience with AWS/other clouds and container platforms/orchestration (e.g., Docker, Kubernetes, ECS)
• Experience building scalable data processing and Big Data/ETL pipelines (e.g., Hortonworks, AWS-based solutions)
• Strong foundations in software applications/processes, ability to solve complex data structures/algorithms problems
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs

Mansioni

• Designs, codes, tests, and delivers automation (including LLMs/agents) to eliminate manual operational work and streamline AO workstreams' remediations (e.g., control items, security vulnerabilities, upgrades, and FARM findings)
• Governs application risk, controls, and compliance: own adherence to firm standards, partner with Technology Risk & Controls, manage Technology Lifecyle Management (TLM), and drive closure of issues/findings (e.g., FARM) through effective remediation and evidence management
• Owns security and data accountability for the application: ensure strong authentication/authorization, vulnerability and certificate hygiene, and proper data registration/classification plus compliant storage/retention/disposal
• Coordinates across product and engineering at scale to prioritize and drive execution with a clear sense of urgency for AO workstreams (including influencing/coaching teams and aligning execution across large developer communities)
• Runs resilient, well-operated production services end-to-end: implement monitoring/logging and anomaly detection, maintain secure network configurations/least privilege, and lead/support incident/problem/change management and recovery/resiliency readiness
• Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
• Leads initiatives to improve the reliability and stability of your team's applications and platforms using data-driven analytics to improve service levels
• Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
• Documents and shares knowledge within your organization via internal forums and communities of practice
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.

Conoscenze

Java

Python

AWS

Big Data

ETL

Kubernetes

Security

SRE

Monitoring

AI-assisted development

Strumenti

Docker

Grafana

Prometheus

Datadog

Descrizione del lavoro

JPMorganChase seeks an AWS Lead Software Engineer-Big Data/ETL to join the Corporate Sector's Model Delivery and Platform Engineering team. You will be a core technical contributor delivering trusted, scalable technology products in a secure environment and coordinating across product and engineering teams to drive AO workstreams.

Strong cloud, data processing, and SRE skills are essential. The role emphasizes automation, secure data handling, incident management, and adoption of enterprise