Job Description

Job Description

Intro marketing language

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

Job Summary

As a Software Engineer III at JPMorganChase within the CONSUMER & COMMUNITY BANKING, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You’ll help build and operate resilient AWS cloud platforms, contribute to automation and observability, and support AI/ML-enabled capabilities that improve operational efficiency and customer outcomes.

Job Responsibilities

Execute software solutions across design, development, and production troubleshooting for cloud-based platforms, participating in design discussions and technical reviews.
Develop and maintain AWS infrastructure (e.g., EC2, S3, RDS, CloudWatch, EKS) using Infrastructure-as-Code and automation to advance self-service capabilities.
Support end-to-end incident and problem management for public cloud environments, helping diagnose and resolve production issues to maintain availability and minimize downtime.
Improve resiliency, performance, and security by identifying risks/patterns, optimizing operational tasks, and enhancing monitoring and alerting.
Analyze upcoming platform-level changes prior to release and communicate impacts clearly to stakeholders to support safe delivery.
Contribute to operational readiness activities (e.g., game days, resiliency testing, chaos exercises) and continuous process improvements that reduce time to resolve incidents.
Build AI/ML-enabled features (e.g., automation pipelines, intelligent monitoring, data-driven platform capabilities) and contribute to engineering communities of practice.

Required Qualifications, Capabilities, And Skills

Formal training or certification in software engineering concepts and 3+ years of applied experience, including hands-on experience supporting or building AWS environments using Infrastructure-as-Code (e.g., Terraform or CloudFormation).
Hands-on practical experience in system design, application development, testing, and operational stability in cloud or platform environments.
Proficient in coding in one or more languages (e.g., Python) and experience developing, debugging, and maintaining code in a large corporate environment.
Overall knowledge of the Software Development Life Cycle and solid understanding of agile practices such as CI/CD, application resiliency, and security.
Experience with container technologies (Docker and Kubernetes) and operating containerized workloads in a cloud environment.
Experience with monitoring/observability and troubleshooting (e.g., CloudWatch, Prometheus, Splunk, Dynatrace) and familiarity with incident/problem management practices.
Demonstrated knowledge in a relevant technical discipline such as cloud, artificial intelligence, or machine learning (including exposure to ML/GenAI concepts and production deployment considerations).

Preferred Qualifications, Capabilities, And Skills

Familiarity with modern front-end technologies.
Exposure to additional cloud technologies and services beyond core AWS (e.g., multi-account strategies, advanced networking, edge/CDN patterns).
Experience with MLOps tooling (e.g., MLflow or Weights & Biases), LLM frameworks (e.g., LangChain or LlamaIndex), and/or vector databases used for retrieval workflows.
Exposure to AWS AI services (e.g., SageMaker) and responsible AI practices (e.g., explainability, bias testing) in regulated environments.

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