Senior Lead Site Reliability / DevOps Engineer

JPMorgan Chase · Glasgow

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch reliability and observability for our most critical platforms.

As a Senior Lead Site Reliability / DevOps Engineer at JPMorgan Chase within the Commercial & Investment Bank, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of reliability, observability, and performance challenges that span multiple technologies and applications.

Job responsibilities

Regularly provides technical guidance and direction on site reliability practices to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code for reliability tooling and telemetry pipelines, and reviews and debugs code written by others
Drives decisions that influence reliability design, observability architecture, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of site reliability, observability, or telemetry engineering
Leads resiliency design reviews and breaks up complex reliability problems into digestible work for other engineers, acting as a technical lead for large-sized products
Acts as the main point of contact during major incidents, demonstrating the skills to identify and solve issues quickly to avoid financial losses, and champions blameless postmortem culture
Collaborates with team members and stakeholders to define comprehensive service level indicators, service level objectives, and error budgets
Designs, implements, and maintains operational reliability for large-scale OpenTelemetry pipelines on hybrid on-prem/cloud environments, supporting telemetry ingestion, processing, and export to backends such as InfluxDB, Prometheus, Elasticsearch, and OpenSearch
Drives the assessment, refactoring, and incremental migration of custom legacy telemetry collection code to standardized OpenTelemetry instrumentation, reducing technical debt while maintaining system stability
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices, and influences peers and project decision-makers to consider the use and application of leading-edge observability and reliability technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and advanced applied experience delivering system design, application development, testing, and operational stability
Advanced knowledge of reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices, with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, observability, distributed systems, etc.)
Advanced proficiency in one or more programming languages (e.g., Java, Python, Go, etc.)
Advanced 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 tackle reliability design and functionality problems independently with little to no oversight
Practical cloud native experience
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), and 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

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

Provide technical guidance and serve as a function-wide SRE subject matter expert, driving reliability decisions across multiple products and influencing the adoption of leading-edge observability technologies.

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