Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.
As a Lead Infrastructure Engineer at JPMorganChase within the Enterprise Technology, Infrastructure Platforms team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.
Job responsibilities
- Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
- Own and continuously improve SLOs/SLIs, error budgets, on-call readiness, and operational excellence for storage services.
- Lead incident response for storage outages/performance degradations; drive RCAs and implement preventative actions.
- Create and maintain runbooks, escalation paths, and standardized operational procedures.
- Operate and enhance block/file/object storage platforms across on-prem and/or cloud environments.
- Perform performance tuning, capacity planning, lifecycle management, and resiliency testing (failover/DR validation).
- Partner with infrastructure, network, OS, database, and application teams to meet workload requirements and reliability targets.
- Build automation for provisioning, patching, upgrades, replication, backup/restore, and compliance checks.
- Implement AI-driven observability/AIOps (telemetry correlation, anomaly/regression detection, LLM-assisted incident/runbook workflows) with accuracy, auditability, and safe rollout.
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Strong knowledge of storage fundamentals (RAID/erasure coding, replication, snapshots, tiering/caching, IOPS/latency, multipathing, SAN/NAS, object semantics).
- Hands-on experience with at least one major storage ecosystem (e.g., NetApp, Dell EMC PowerStore/Isilon, Pure, Hitachi, Ceph, IBM, or cloud storage services).
- Solid Linux fundamentals, including system performance, networking basics, and kernel/storage-stack concepts.
- Strong scripting/programming in one or more of Python, Go, Bash.
- Experience with observability stacks (e.g., Prometheus/Grafana, ELK/OpenSearch, Splunk, Datadog, OpenTelemetry).
- Proven incident management skills and ability to operate effectively in an on-call rotation.
- Practical AI/data skills for operations (anomaly detection/forecasting/correlation/classification; feature extraction and evaluation; integrating AI into production tooling/CI/CD; safe LLM use with guardrails and human-in-the-loop review).
- Kubernetes storage (CSI), stateful workloads, and container platform operations.
- Infrastructure as Code (Terraform/CloudFormation) and configuration management (Ansible/Chef/Puppet).
- Streaming/queue tooling for telemetry and event pipelines (e.g., Kafka).
- Experience with ITSM/event management platforms (e.g., ServiceNow).
- Backup/DR products and strategy design, including RPO/RTO tradeoffs.
- Security controls for data platforms (KMS/HSM, secrets management, key rotation).
- Experience building/operating controlled self-service platforms with guardrails to reduce toil at scale.
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.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.
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