Lead Software Engineer - DevOps / Full-Stack / MLOps

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

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Digital Cloud team, 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 firm's 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 hands-on software/platform engineering experience, including leading cloud-native delivery for business-critical 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 ...