Lead Software Engineer - DevOps / Full-Stack / MLOps

JPMorgan Chase & Co

Columbus, OH

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Architectural Design, Artificial Intelligence (AI), Automation, Bash Scripting, Cloud Computing, Code Reviews, Community Banking, Community Cloud, Compensation and Benefits, Continuous Deployment/Delivery, Continuous Integration, Debugging Skills, DevOps, Diversity, Docker, Engineering, Financial Services, GCP (Good Clinical Practices), Identify Issues, Information Architecture, Jenkins, Machine Tool, Microsoft Windows Azure, Network Configuration Management, Nonprofit, Operational Improvement, Public Cloud, Python Programming/Scripting Language, Scalable System Development, Scripting (Scripting Languages), Small Business, Software Design, Software Engineering, Startup, Storage Architecture, System Architecture, Technical Leadership, Technical/Engineering Design, Test Automation, Test Strategy, Use Cases
LOCATION
Columbus, OH
POSTED
30+ days ago

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, 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 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.

About JPMorganChase

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.

Total Rewards Package

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. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Diversity, Equity, and Inclusion

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Company

J

JPMorgan Chase & Co