Sr Manager of Software Engineering

JPMorgan Chase & Co.•Plano, TX

About The Position

When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this. As a Senior Manager of Software Engineering at JPMorgan Chase within the Commercial and Investment Bank, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. Lead the strategy and execution for a unified, secure, and scalable platform spanning the on-prem GKP platform and a modern private cloud (hybrid). Power Client Onboarding, Client Servicing, and Case Management by owning application deployment architecture and standards, ensuring stability and performance at scale, and accelerating safe release velocity across 50+ services and 100+ application groups. Drive cross-domain governance (major/minor/patch/hotfix), AI-enabled automation, and SRE practices to deliver zero-downtime operations and world-class user experiences, with robust hybrid connectivity, data residency, and compliance. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.

Requirements

Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise.
Experience in platform/infrastructure engineering, SRE, or architecture, senior leadership (Director or equivalent).
Deep experience with on-prem platforms and private cloud modernization: Kubernetes/OpenShift/EKS-Anywhere, virtualization/HCI, storage, networking, and hybrid connectivity.
Strong background with cloud-native platforms (AWS), Kubernetes/EKS, ECS, service gateways, and container orchestration.
Proven track record implementing CI/CD at scale, release governance, and environment standardization across hybrid estates.
Reliability and performance expertise: SLOs/SLA design, MTTR reduction, perf/load testing, DR/failover across sites.
Security and compliance familiarity: identity and access, certificate management, vulnerability lifecycle, audit readiness, data residency.
Hands-on with infrastructure-as-code and pipelines (Terraform; Spinnaker/Jenkins/GitHub Actions).

Nice To Haves

Kafka/MSK, API gateway/auth patterns, service mesh, and distributed tracing.
Observability platforms (e.g., Dynatrace), synthetic and real-user monitoring; log/metric/trace consolidation.
Experience with large-scale migrations, schema evolution, dual-write/read strategies, and cross-domain compatibility.
AI/automation in SDLC and operations (agentic workflows, policy automation, autonomous release orchestration).
Financial services or similarly regulated environments.

Responsibilities

Define and own the platform and deployment architecture roadmap across Onboarding, Servicing, and Case Management for on-prem GKP and private cloud (multi-cluster, multi-region).
Establish and enforce engineering standards for CI/CD, environments, configuration, networking, and runtime (GB Standard), covering Kubernetes (on-prem and cloud), service mesh, gateways, and secrets/cert management.
Lead reliability engineering across hybrid estates: SLOs, error budgets, incident management, MTTR reduction, resilience and DR (site-level failover and recovery).
Design and operate scalable environments across on-prem Kubernetes, EKS/ECS, AWS, and gateway layers; champion blue/green, canary, and parallel prod deployments for zero-downtime releases.
Govern release classification and controls (major/minor/patch/hotfix), versioned APIs, schema evolution, and backward compatibility to minimize cross-domain breakage.
Accelerate delivery with automated SDLC pipelines (Spinnaker, Jenkins, GitHub Actions), infrastructure-as-code (Terraform), and policy-as-code; standardize environment templates and deployment modules.
Drive observability across on-prem and private cloud: end-to-end tracing, logs, metrics, and real-user monitoring; standardize dashboards and alerting (e.g., Dynatrace).
Lead performance engineering for high concurrency (4k+ concurrent, 15k+ total users): halving load times, optimizing CRUD/API latency (e.g., 7s → <600ms), and tuning gateway/auth.
Advance security posture: certificate hygiene, vulnerability management, secrets management, token/header patterns, zero-trust segmentation, and data residency/compliance alignment.
Manage capacity and cost efficiency: throughput scaling, cluster optimization, storage migrations (e.g., S3 and on-prem object storage), rightsizing, and resource governance.
Introduce AI-driven automation (MITA, agentic operations) for release orchestration, lifecycle management, proactive issue detection, and auto-remediation.

Benefits

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.

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