Senior AI Cloud Engineer – Java, AWS, Microservices

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 61,000 - 101,000; Full time

Benefits offered by this job

Health insurance

On-site health centers

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Diversity & inclusion

Job summary

JPMorgan Chase & Co. in Jersey City, NJ, is seeking an accomplished software engineer to design, develop, and maintain production-grade Python services and APIs that power enterprise-scale machine learning platforms.

You will architect high-throughput distributed systems in AWS, build cloud-native applications with EKS, ECS, MSK, SQS, and S3, and lead secure, observable deployments with Terraform, CloudFormation, Datadog, Dynatrace, and Splunk.

Qualifications

• Formal training in software engineering concepts required.
• 5+ years of applied software experience required.
• Advanced Python skills with OO design and modular architecture.
• Experience building large-scale cloud-native services in AWS.
• Hands-on AWS with EKS, ECS, MSK, SQS and S3.
• IaC experience with Terraform and/or CloudFormation.
• Expertise in distributed systems design and production readiness.
• Experience with observability tools (Datadog, Dynatrace, Splunk).
• Strong API design, microservices, and scalable patterns.
• CI/CD and automated deployment practices.
• Familiarity with AI-assisted development tools for coding and testing.
• Understanding of responsible AI, security, and compliance.
• Preferred: resilience patterns and event-driven architectures.

Responsibilities

• Design, develop, and maintain production-grade Python services and APIs for enterprise-scale ML platforms.
• Architect and deliver high-throughput, low-latency distributed systems in AWS.
• Build and manage scalable cloud-native apps using AWS services (EKS, ECS, MSK, SQS, S3).
• Develop reusable service frameworks and libraries to speed engineering delivery.
• Implement IaC with Terraform and CloudFormation for repeatable deployments.
• Create monitoring and observability with Datadog, Dynatrace, Splunk.
• Deploy and support applications in production meeting SLAs.
• Apply secure-by-design practices and automated testing with blue/green/canary strategies.
• Review code, provide architectural direction, and mentor engineers.
• Collaborate with product managers and SREs to deliver scalable solutions.
• Drive enterprise adoption of AI-assisted engineering practices.

Skills

Formal training in software eng.

5+ years of software experience

Advanced Python

AWS cloud-native services

EKS, ECS, MSK, SQS, S3

Infrastructure as code (Terraform, CF)

Distributed systems design

Observability tools (Datadog, Dynatrce

API design & microservices

CI/CD & deployment automation

AI-assisted coding tools

Responsible AI & security/compliance

Kafka-based messaging

Education

Software engineering certification

Bachelor’s degree in a relevant field

Tools

AWS EKS

AWS ECS

AWS MSK

AWS SQS

AWS S3

Terraform

CloudFormation

Datadog

Dynatrace

Splunk

Kubernetes

CI/CD tooling

Job description

JPMorgan Chase & Co. in Jersey City, NJ, is seeking an accomplished software engineer to design, develop, and maintain production-grade Python services and APIs that power enterprise-scale machine learning platforms.

You will architect high-throughput distributed systems in AWS, build cloud-native applications with EKS, ECS, MSK, SQS, and S3, and lead secure, observable deployments with Terraform, CloudFormation, Datadog, Dynatrace, and Splunk.