{"schemaVersion":"jobsearcher.job.v1","id":"49f18d7beac815837d14c29e","url":"https://jobsearcher.com/jobs/49f18d7beac815837d14c29e","canonicalUrl":"https://jobsearcher.com/jobs/49f18d7beac815837d14c29e","title":"Lead Software Engineer - DevOps Engineering/Cloud","description":"JobID: 210707907\r\nCategory: Software Engineering\r\nJobSchedule: Full time\r\nPosted Date: 2026-02-19T14:17:55+00:00\r\nJobShift\r\nBase Pay/Salary: Jersey City,NJ $152,000.00-$215,000.00; New York,NY $152,000.00-$215,000.00\r\nWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\r\nAs 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.\r\nJob responsibilities\r\n\r\nExecutes 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\r\nDevelops secure high-quality production code, and reviews and debugs code written by others\r\nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\r\nLeads 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\r\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\r\nAdds to team culture of diversity, opportunity, inclusion, and respect\r\n\r\nRequired qualifications, capabilities, and skills\r\n\r\n8+ years of hands-on software/platform engineering experience, including leading cloud-native delivery for business-critical systems.\r\nStrong Kubernetes expertise (workloads, networking, security, autoscaling, upgrades, troubleshooting); experience operating clusters in production.\r\nExpert Infrastructure as Code with Terraform (modules, state backends, workspaces, CI integration, policy controls).\r\nProficiency in Python for platform automation, tooling, and systems scripting; familiarity with Bash/YAML/Helm.\r\nDeep experience with CI/CD (e.g., Jenkins, Spinnaker/Argo), artifact management, and automated testing strategies.\r\nStrong AWS/public cloud knowledge (VPC, ALB/NLB, ECR/EKS, IAM, KMS, CloudWatch/CloudTrail) and cloud networking fundamentals.\r\nSolid understanding of SDLC and agile practices; champions secure coding, resiliency patterns, and release engineering.\r\nObservability at scale: Prometheus/Grafana, datadog, log aggregation (e.g., Splunk), actionable SLO/SLA monitoring.\r\nDemonstrated reduction of operational toil through automation and SRE practices (incident response, blameless postmortems, remediation).\r\nPractical 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.\r\nExcellent communication and leadership skills; ability to influence architecture and mentor engineers across teams.\r\n\r\nPreferred qualifications, capabilities, and skills\r\n\r\nProgramming & Scripting: Expert-level Python is mandatory, along with proficiency in Bash, Java, or C++ for building automation scripts.\r\nML Frameworks & Tools: Hands-on experience with TensorFlow, PyTorch, or Scikit-learn, plus MLOps tools like MLflow, Kubeflow, Vertex AI, or DVC.\r\nInfrastructure & Cloud: Strong knowledge of AWS, Azure, or GCP, including serverless architectures, storage solutions, and network configuration.\r\nContainerization & DevOps: Expert skills in Kubernetes (K8s), Docker, Helm, GitOps, and CI/CD pipelines (Jenkins, GitLab CI).\r\nMonitoring & Reliability: Experience setting up monitoring for both infrastructure and models (drift detection, model accuracy) using Prometheus/Grafana.\r\nDatabase Systems: Proficiency in managing SQL/NoSQL databases to handle data for training and inference.","company":"JPMorgan Chase","rawCompany":"jpmorgan chase","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-02T20:31:44.009Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Software Engineer - DevOps Engineering/Cloud","description":"JobID: 210707907\r\nCategory: Software Engineering\r\nJobSchedule: Full time\r\nPosted Date: 2026-02-19T14:17:55+00:00\r\nJobShift\r\nBase Pay/Salary: Jersey City,NJ $152,000.00-$215,000.00; New York,NY $152,000.00-$215,000.00\r\nWe have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\r\nAs 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.\r\nJob responsibilities\r\n\r\nExecutes 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\r\nDevelops secure high-quality production code, and reviews and debugs code written by others\r\nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\r\nLeads 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\r\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\r\nAdds to team culture of diversity, opportunity, inclusion, and respect\r\n\r\nRequired qualifications, capabilities, and skills\r\n\r\n8+ years of hands-on software/platform engineering experience, including leading cloud-native delivery for business-critical systems.\r\nStrong Kubernetes expertise (workloads, networking, security, autoscaling, upgrades, troubleshooting); experience operating clusters in production.\r\nExpert Infrastructure as Code with Terraform (modules, state backends, workspaces, CI integration, policy controls).\r\nProficiency in Python for platform automation, tooling, and systems scripting; familiarity with Bash/YAML/Helm.\r\nDeep experience with CI/CD (e.g., Jenkins, Spinnaker/Argo), artifact management, and automated testing strategies.\r\nStrong AWS/public cloud knowledge (VPC, ALB/NLB, ECR/EKS, IAM, KMS, CloudWatch/CloudTrail) and cloud networking fundamentals.\r\nSolid understanding of SDLC and agile practices; champions secure coding, resiliency patterns, and release engineering.\r\nObservability at scale: Prometheus/Grafana, datadog, log aggregation (e.g., Splunk), actionable SLO/SLA monitoring.\r\nDemonstrated reduction of operational toil through automation and SRE practices (incident response, blameless postmortems, remediation).\r\nPractical 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.\r\nExcellent communication and leadership skills; ability to influence architecture and mentor engineers across teams.\r\n\r\nPreferred qualifications, capabilities, and skills\r\n\r\nProgramming & Scripting: Expert-level Python is mandatory, along with proficiency in Bash, Java, or C++ for building automation scripts.\r\nML Frameworks & Tools: Hands-on experience with TensorFlow, PyTorch, or Scikit-learn, plus MLOps tools like MLflow, Kubeflow, Vertex AI, or DVC.\r\nInfrastructure & Cloud: Strong knowledge of AWS, Azure, or GCP, including serverless architectures, storage solutions, and network configuration.\r\nContainerization & DevOps: Expert skills in Kubernetes (K8s), Docker, Helm, GitOps, and CI/CD pipelines (Jenkins, GitLab CI).\r\nMonitoring & Reliability: Experience setting up monitoring for both infrastructure and models (drift detection, model accuracy) using Prometheus/Grafana.\r\nDatabase Systems: Proficiency in managing SQL/NoSQL databases to handle data for training and inference.","datePosted":"2026-05-02T20:31:44.009Z","dateModified":"2026-05-02T20:31:44.009Z","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"49f18d7beac815837d14c29e"},"url":"https://jobsearcher.com/jobs/49f18d7beac815837d14c29e"}}