Lead Software Engineer DevOps Full-Stack MLOps

Columbus, NE - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Digital Cloud team youare an integral part of an agile team that works to enhance build and deliver trusted market-leading technology products in a secure stable and scalable way. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
Design and develop a scalable ML platform to support model training deployment and monitoring
Build and maintain infrastructure for automated ML pipelines ensuring reliability and reproducibility supporting different model frameworks and architectures
Set up monitoring and reliability for both infrastructure and models utilizing Prometheus and Grafana
Code infrastructure with Terraform and utilizing Python for automation
Perform DevOps in Kubernetes (K8s) Docker Helm GitOps and CI/CD pipelines (Jenkins GitLab CI)

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 5 years applied experience
8 years of handson software/platform engineering experience including leading cloudnative delivery for businesscritical systems.
Expert Infrastructure as Code with Terraform (modules state backends workspaces CI integration policy controls).
Expert proficiency in Python for platform automation tooling and systems scripting; familiarity with Bash/YAML/Helm.
Deep experience with CI/CD (e.g. Jenkins Spinnaker/Argo) artifact management and automated testing strategies.
Strong AWS/public cloud knowledge (VPC ALB/NLB ECR/EKS IAM KMS CloudWatch/CloudTrail) and cloud networking fundamentals.
Experience with MLOps tools and platforms (e.g. MLflow Amazon SageMaker Google VertexAI Databricks BentoML KServe Kubeflow)
Understanding of data versioning and ML models lifecycle management
Practical experience applying agentic AI/LLM capabilities to DevSecOps use cases (e.g. assisted troubleshooting code/IaC generation with review runbook automation) with attention to accuracy guardrails and auditability.
Containerization & DevOps:Expert skills in Kubernetes (K8s) Docker Helm GitOps and CI/CD pipelines (Jenkins GitLab CI).
Monitoring & Reliability:Experience setting up monitoring for both infrastructure and models (drift detection model accuracy) using Prometheus/Grafana.

Preferred qualifications capabilities and skills

Experience deploying models using Canary Blue/Green or Shadow deployment strategies
Previous experience deploying & managing ML models is beneficial
Experience working in a highly regulated environment or industry
Strong knowledge of AWS Azure or GCP including serverless architectures storage solutions and network configuration.
Postgres experience

Required Experience:

DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Digital Cloud team youare an integral part of an agile team that works to enhance buil...

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

Job responsibilities

Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high-quality production code and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors startups and internal teams to drive outcomes-oriented probing of architectural designs technical credentials and applicability for use within existing systems and information architecture
Design and develop a scalable ML platform to support model training deployment and monitoring
Build and maintain infrastructure for automated ML pipelines ensuring reliability and reproducibility supporting different model frameworks and architectures
Set up monitoring and reliability for both infrastructure and models utilizing Prometheus and Grafana
Code infrastructure with Terraform and utilizing Python for automation
Perform DevOps in Kubernetes (K8s) Docker Helm GitOps and CI/CD pipelines (Jenkins GitLab CI)

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 5 years applied experience
8 years of handson software/platform engineering experience including leading cloudnative delivery for businesscritical systems.
Expert Infrastructure as Code with Terraform (modules state backends workspaces CI integration policy controls).
Expert proficiency in Python for platform automation tooling and systems scripting; familiarity with Bash/YAML/Helm.
Deep experience with CI/CD (e.g. Jenkins Spinnaker/Argo) artifact management and automated testing strategies.
Strong AWS/public cloud knowledge (VPC ALB/NLB ECR/EKS IAM KMS CloudWatch/CloudTrail) and cloud networking fundamentals.
Experience with MLOps tools and platforms (e.g. MLflow Amazon SageMaker Google VertexAI Databricks BentoML KServe Kubeflow)
Understanding of data versioning and ML models lifecycle management
Practical experience applying agentic AI/LLM capabilities to DevSecOps use cases (e.g. assisted troubleshooting code/IaC generation with review runbook automation) with attention to accuracy guardrails and auditability.
Containerization & DevOps:Expert skills in Kubernetes (K8s) Docker Helm GitOps and CI/CD pipelines (Jenkins GitLab CI).
Monitoring & Reliability:Experience setting up monitoring for both infrastructure and models (drift detection model accuracy) using Prometheus/Grafana.

Preferred qualifications capabilities and skills

Experience deploying models using Canary Blue/Green or Shadow deployment strategies
Previous experience deploying & managing ML models is beneficial
Experience working in a highly regulated environment or industry
Strong knowledge of AWS Azure or GCP including serverless architectures storage solutions and network configuration.
Postgres experience

Required Experience:

Key Skills

Spring
.NET
C/C++
Go
React
OOP
C#
Data Structures
JavaScript
Software Development
Java
Distributed Systems

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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