Lead Site Reliability / DevOps Engineer

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers. 

 Job responsibilities

• Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team
• Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels
• Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers
• Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise
• Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses
• Documents and shares knowledge within your organization via internal forums and communities of practice
• Design, implement, and maintain operational reliability for large-scale Opentelemetry pipelines on hybrid on-prem/cloud environments.
• Support telemetry ingestion, processing, and export to backends such as InfluxDB, Prometheuse, Elasticsearch, OpenSearch optimizing for performance, real-time monitoring, logging, and alerting.
• Assess, refactor, and incrementally migrate custom legacy telemetry collection code to standardized OpenTelemetry instrumentation, reducing technical debt while maintaining system stability.
   

 Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform
• Fluency in at least one programming language such as (e.g., Java, Python, Go, etc.)
• Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, Elasticsearch, etc.
• Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.)
• Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.)
• Hands-on experience with the design, deployment, and operation of OpenTelemetry collectors in production environments, focusing on technical aspects such as configuring, optimizing, and troubleshooting OTLP endpoints and receivers.
• Ability to expand and collaborate across different levels and stakeholder groups

Preferred qualifications, capabilities, and skills

• Knowledge of distributed tracing, metrics, and logging best practices.
• Certification in AWS, Kubernetes, or relevant technologies.
• Proven track record in system health monitoring, capacity management, and blameless postmortems for high-availability services
• Deep understanding of distributed system design principles, networking (TCP/IP, DNS, load balancing), Linux internals.
• Contributions to open-source observability or telemetry projects.
• Experience working with agent control planes and management protocols. Hands-on knowledge of OpAMP is highly desirable.