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Python Terraform AWS DevOps MLOps Lead Software Engineer

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: JPMorganChase
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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
Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

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