Lead SRE Data Product Studio

Build systems that stay available when it matters this role youll shape how reliability is engineered across critical data products and platforms at JPMorganChase. Youll partner with engineers and stakeholders to set measurable service goals reduce toil through automation and raise operational standards. Youll have room to lead mentor and influence technical direction while tackling complex high-impact challenges. If youre passionate about scalable secure and resilient systems youll thrive here.

As a Lead Site Reliability Engineer in Corporate Technology: Data Strategy & Architecture you will lead resiliency design reviews and champion site reliability practices across medium to large-sized products. You will break down complex problems into actionable work guide delivery through strong engineering standards and help teams improve reliability using data-driven insights. You will serve as a technical leader during major incidents and influence solutions across multiple technical domains. You will mentor engineers and advise on technical and business issues to improve outcomes for customers and stakeholders. This is a technical leadership (IC) position rather than a team leadership position.

Job Responsibilities

• Champion site reliability culture and practices exerting technical influence across the team
• Lead initiatives to improve reliability and stability using data-driven analytics to improve service levels
• Partner with engineers and stakeholders to define service level indicators service level objectives and error budgets
• Identify and resolve technical bottlenecks across one or more technical domains
• Act as a primary point of contact during major incidents driving rapid diagnosis and resolution to reduce impact
• Document and share knowledge through internal forums and communities of practice
• Define and drive CI/CD strategy and pipeline standards including artifact management environment promotion and release gating
• Design and implement infrastructure-as-code practices to enable self-service provisioning and reduce toil
• Lead resiliency design reviews for new and existing data products identifying single points of failure capacity risks and operational gaps before production
• Embed shift-left security practices into delivery pipelines including automated scanning secrets management and policy-as-code
• Lead capacity planning and cost optimization across cloud and on-premise compute for data workloads

Required Qualifications Capabilities and Skills

• Advanced knowledge of site reliability engineering practices including reliability scalability performance security enterprise architecture and toil reduction
• Proficiency in at least one programming language (e.g. Python Java Spring )
• Experience designing implementing and operating observability practices (e.g. white/black box monitoring SLO alerting telemetry collection) using tools such as Grafana Dynatrace Prometheus Datadog or Splunk
• Hands-on experience designing and operating CI/CD pipelines and release automation (e.g. Jenkins GitLab CI GitHub Actions Argo CD)
• Proficiency in infrastructure-as-code and configuration management tooling (e.g. Terraform Ansible Helm)
• Experience with containers and orchestration (e.g. Docker Kubernetes ECS)
• Ability to troubleshoot common networking technologies and issues
• Ability to identify and solve problems involving complex data structures and algorithms
• Ability to break down complex problems into clear deliverable work for engineering teams
• Ability to collaborate across stakeholder groups and influence technical decisions
• Drive to self-educate and evaluate new technology

Preferred Qualifications Capabilities and Skills

• Experience in a data platform data mesh or data product engineering environment (e.g. Spark Kafka dbt Airflow)
• Familiarity with cloud-native data services on AWS Azure or GCP
• Experience with GitOps workflows and progressive delivery patterns
• Knowledge of chaos engineering practices and tooling
• Experience mentoring engineers and driving engineering standards across teams
• Relevant certifications (e.g. CKA AWS/GCP/Azure Solutions Architect HashiCorp Terraform Associate)