Lead Software Engineer - DevOps/Cloud

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 and Community Banking, 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


* Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies


* Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills


* 8+ years of hands-on software/platform engineering experience, including leading cloud-native delivery for business-critical systems.


* Strong Kubernetes expertise (workloads, networking, security, autoscaling, upgrades, troubleshooting); experience operating clusters in production.


* Expert Infrastructure as Code with Terraform (modules, state backends, workspaces, CI integration, policy controls).


* 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.


* Solid understanding of SDLC and agile practices; champions secure coding, resiliency patterns, and release engineering.


* Observability at scale: Prometheus/Grafana, datadog, log aggregation (e.g., Splunk), actionable SLO/SLA monitoring.


* Demonstrated reduction of operational toil through automation and SRE practices (incident response, blameless postmortems, remediation).


* 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, a...