Software Engineer III – MLOps
JPMorgan Chase15 hours ago
Responsibilities
- Build and operate an AWS-based MLOps platform supporting model development, CI/CD, deployment, monitoring, and governance across multiple environments.
- Develop infrastructure-as-code, Kubernetes patterns, multi-environment governance, and operational practices for platform and data teams.
- Design highly available systems using multi-Availability Zone patterns, capacity planning, incident readiness, and rollback approaches.
- Establish observability standards covering metrics, logs, traces, dashboards, alerting, and service-level objectives.
- Implement cloud and Kubernetes security controls, including IAM, RBAC, secrets management, network policies, and vulnerability management.
- Build and operate streaming pipelines using Apache Kafka and Apache Flink.
- Use approved AI-assisted software development tools responsibly for coding, review, testing, troubleshooting, and documentation, with validation for correctness, performance, and security.
- Collaborate with engineering, data, and risk partners to standardize practices and improve reliability and developer experience.
Requirements
- At least 5 years of experience in platform engineering, software engineering, Java, or MLOps roles.
- Hands-on experience building and operating production platforms on AWS.
- Strong Kubernetes experience, including Amazon EKS, Helm or Kustomize, ingress, autoscaling, and workload scheduling.
- Strong Terraform experience for repeatable environment provisioning and controlled change management.
- Experience implementing security controls for cloud and Kubernetes platforms, including IAM, RBAC, secrets, network policies, and vulnerability management.
- Experience delivering and operating resilient, highly available systems, including on-call readiness, incident response, and postmortems.
- Strong observability experience with metrics, logs, traces, dashboards, alerting, and SLOs.
- Experience building and operating Apache Kafka and Apache Flink streaming pipelines.
- Programming or scripting proficiency in languages such as Python, Java, Scala, or Go, plus CI/CD automation experience.
- Experience leading responsible adoption of approved AI-assisted development tools and coaching engineers on safe, compliant use.
- Preferred qualifications include GPU workloads on Kubernetes, model registries, experiment tracking, feature stores, artifact management, service mesh, policy as code, container supply-chain security, data lake or warehouse integration, data quality monitoring, and regulated-environment experience.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skills, and location; eligible roles may also receive commission or discretionary incentive compensation.
- Comprehensive health care coverage and on-site health and wellness centers.
- Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Additional compensation and benefits details are provided during the hiring process.
Tech Stack
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.