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Network Infrastructure Automation Engineer

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: JPMorganChase
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Cloud Computing, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Description

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 JPMorgan

Chase 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 Dev Ops in Kubernetes (K8s), Docker, Helm, Git Ops, and CI/CD pipelines (Jenkins, Git Lab 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, work spaces, 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, Cloud Watch/Cloud Trail) and cloud networking fundamentals.
  • Experience with MLOps tools and platforms (e.g., MLflow, Amazon Sage Maker, Google Vertex

    AI, Databricks, Bento

    ML, KServe, Kubeflow)
  • Understanding of data versioning and ML models lifecycle management
  • Practical experience applying agentic AI/LLM capabilities to Dev Sec Ops  use cases (e.g., assisted troubleshooting, code/IaC generation with review, runbook automation) with attention to accuracy, guardrails, and auditability.
  • Containerization & Dev Ops:
    Expert skills in Kubernetes (K8s), Docker, Helm, Git Ops, and CI/CD pipelines (Jenkins, Git Lab 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
About Us

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total…

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