Lead Software Engineer DevOpsCloud

Columbus, NE - USA

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

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 JPMorgan Chase within the Consumer and Community Banking you are 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
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

8 years of handson software/platform engineering experience including leading cloudnative delivery for businesscritical systems.
Strong Kubernetes expertise (workloads networking security autoscaling upgrades troubleshooting); experience operating clusters in production.
Expert Infrastructure as Code with Terraform (modules state backends workspaces CI integration policy controls).
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.
Solid understanding of SDLC and agile practices; champions secure coding resiliency patterns and release engineering.
Observability at scale: Prometheus/Grafana datadog log aggregation (e.g. Splunk) actionable SLO/SLA monitoring.
Demonstrated reduction of operational toil through automation and SRE practices (incident response blameless postmortems remediation).
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.
Excellent communication and leadership skills; ability to influence architecture and mentor engineers across teams.

Preferred qualifications capabilities and skills

Programming & Scripting: Expert-level Python is mandatory along with proficiency in Bash Java or C for building automation scripts.
ML Frameworks & Tools: Hands-on experience with TensorFlow PyTorch or Scikit-learn plus MLOps tools like MLflow Kubeflow Vertex AI or DVC.
Infrastructure & Cloud: Strong knowledge of AWS Azure or GCP including serverless architectures storage solutions and network configuration.
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.
Database Systems: Proficiency in managing SQL/NoSQL databases to handle data for training and inference.

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 JPMorgan Chase within the Consumer and Community Banking you are an integral part of an agile team that works to enhance build and deliver t...

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
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

8 years of handson software/platform engineering experience including leading cloudnative delivery for businesscritical systems.
Strong Kubernetes expertise (workloads networking security autoscaling upgrades troubleshooting); experience operating clusters in production.
Expert Infrastructure as Code with Terraform (modules state backends workspaces CI integration policy controls).
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.
Solid understanding of SDLC and agile practices; champions secure coding resiliency patterns and release engineering.
Observability at scale: Prometheus/Grafana datadog log aggregation (e.g. Splunk) actionable SLO/SLA monitoring.
Demonstrated reduction of operational toil through automation and SRE practices (incident response blameless postmortems remediation).
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.
Excellent communication and leadership skills; ability to influence architecture and mentor engineers across teams.

Preferred qualifications capabilities and skills

Programming & Scripting: Expert-level Python is mandatory along with proficiency in Bash Java or C for building automation scripts.
ML Frameworks & Tools: Hands-on experience with TensorFlow PyTorch or Scikit-learn plus MLOps tools like MLflow Kubeflow Vertex AI or DVC.
Infrastructure & Cloud: Strong knowledge of AWS Azure or GCP including serverless architectures storage solutions and network configuration.
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.
Database Systems: Proficiency in managing SQL/NoSQL databases to handle data for training and inference.

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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