Senior Lead Software Engineer - Java, AWS & AI Platform

JPMorganChase

Jersey City (NJ)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

JPMorganChase's Machine Learning Center of Excellence seeks a Lead Software Engineer to design and deliver trusted ML platforms at enterprise scale. You will build production-grade Python services, craft high-throughput distributed systems in AWS, and drive IaC with Terraform/CloudFormation while mentoring teams.

You will collaborate with product managers, platform engineers, and SREs to ensure secure, scalable delivery and adherence to SLAs.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Advanced proficiency in Python programming, object-oriented design, and modular software architecture.
  • Experience building and operating large-scale, high-performance cloud-native services within AWS environments.
  • Hands-on experience with AWS technologies including EKS, ECS, MSK (Kafka), SQS, and S3.
  • Strong experience implementing infrastructure-as-code solutions using Terraform and/or CloudFormation.
  • Expertise in designing, deploying, and supporting distributed systems in production environments.
  • Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Dynatrace, and Splunk.
  • Strong understanding of API design, microservices architecture, and scalable system design patterns.
  • Experience implementing automated testing, CI/CD pipelines, deployment automation, and secure software engineering practices.
  • Demonstrated experience utilizing approved AI-assisted software development tools for coding, code review, testing acceleration, troubleshooting, and operational support.
  • Strong understanding of responsible AI usage, application security, resiliency requirements, compliance standards, and mentoring engineers on engineering best practices

Responsibilities

  • Design, develop, and maintain production-grade Python services and APIs for ML platforms.
  • Architect and implement high-throughput, low-latency distributed systems in AWS.
  • Build and manage scalable cloud-native apps using AWS tech (EKS/ECS, MSK, SQS, S3).
  • Develop reusable service frameworks and modular components for engineering delivery.
  • Design infrastructure-as-code solutions with Terraform/CloudFormation for repeatable deployments.
  • Establish monitoring and observability with Datadog, Dynatrace, and Splunk for reliability.
  • Deploy applications in production with SLAs and SLOs, ensuring security and compliance.
  • Guide code reviews and mentor engineers on best practices to lift team capability.
  • Collaborate with product managers, platform teams, and SREs for scalable solutions.
  • Promote enterprise AI-assisted engineering practices to improve quality and delivery speed.

Skills

Python programming
AWS cloud
API design
CI/CD
Observability tooling
Distributed systems
Secure software engineering
Mentoring engineers

Education

Software engineering training/certification

Tools

AWS (EKS, ECS)
Terraform
CloudFormation
Datadog
Dynatrace
Splunk
Kafka (MSK)

Job description

JPMorganChase's Machine Learning Center of Excellence seeks a Lead Software Engineer to design and deliver trusted ML platforms at enterprise scale. You will build production-grade Python services, craft high-throughput distributed systems in AWS, and drive IaC with Terraform/CloudFormation while mentoring teams.

You will collaborate with product managers, platform engineers, and SREs to ensure secure, scalable delivery and adherence to SLAs.

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