Senior Lead Site Reliability Engineer

Next Frontier Capital; Buenos Aires; Presencial; ARS 229.312.000 - 321.037.000; Jornada completa

Descripción de la vacante

JPMorgan Chase is seeking a Senior Lead Site Reliability Engineer to partner with stakeholders to define NFRs and availability targets for services in our IPFS team. You will ensure SLOs, instrumentation, and production readiness are built into design and testing, while guiding AI-enabled reliability initiatives across SDLC.

You will mentor technologists, drive engineering partnerships, and contribute to the firm’s reliability community while advancing secure, observable, and resilient systems.

Formación

• Formal training or certification in site reliability engineering.
• Advanced knowledge of observability, including SLOs, alerts, and telemetry.
• Proficiency in Java, Go, Python, and Terraform for enterprise-grade apps.
• Experience using AI capabilities to improve reliability workflows with strong validation and data sensitivity awareness.
• Deep understanding of distributed systems, microservices, and cloud-native tech.
• Experience building AI agents and using AI tooling to accelerate development.
• Strong skills in logging pipelines and metrics collection with tracing.
• Experience with RESTful APIs and event-driven architectures.
• Proficient with containerization and CI/CD pipelines, GitOps.

Responsabilidades

• Create designs, roadmaps, and program charters with engineering teams.
• Mentor technologists and promote SRE culture within the team.
• Design observability and reliability for complex systems to reduce toil.
• Use enterprise AI capabilities for reliability design, incident analysis, and traceability.
• Understand interdependencies to evolve critical components and resilience.
• Provide guidance, tools, and solutions to support firm growth.
• Contribute to the SRE community via internal forums and guilds.
• Lead AI-assisted reliability workflows across SDLC/toolchain with governance.

Conocimientos

Site reliability engineering

Observability

Java

Go

Python

Terraform

AI in operations

Distributed systems

Microservices

Cloud-native

Docker

Kubernetes

CI/CD

GitOps

RESTful APIs

Messaging systems

Herramientas

Grafana

Dynatrace

Prometheus

Datadog

Splunk

LangChain

LangGraph

AutoGen

CrewAI

GitHub Copilot

Claude

Fluentd

Logstash

Vector

Kafka

RabbitMQ

SQS

Neo4j

TigerGraph

Pinecone

Weaviate

Chroma

Descripción del empleo

Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability.

As a Senior Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platforms and Foundational Services (IPFS) team, you work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your application and product lines. You will ensure those NFRs are accounted for in your products’ design and test phases, that your service level indicators are effectively measuring customer experience, and that service level objectives are defined with stakeholders and implemented in production.

Job responsibilities

• Creates and delivers high quality designs, roadmaps, and program charters alongside the engineering team
• Acts as a key resource and mentor for technologists in your area seeking advice on technical and business issues, and serves as a culture carrier and site reliability adoption champion for your team
• Collaborates with others to create and implement observability and reliability designs for complex systems which are robust, stable, and do not incur additional toil or technical debt
• Uses enterprise-authorized AI capabilities within the work environment to accelerate reliability design and operational decisioning (e.g., incident/post-incident analysis and requirements traceability), validating outputs and handling operational data according to sensitivity and security requirements.
• Drives evolution and debugging of critical components by understanding application and platform interdependencies and limitations
• Provides comprehensive and ongoing guidance, tools, and solutions to support the firms’ growth
• Make significant contributions to JPMorganChase’s site reliability community via internal forums, communities of practice, guilds, and conferences
• Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., testing/validation automation and production readiness), ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 5+ years applied experience
  Advanced knowledge in site reliability culture and principles with demonstrated ability to implement site reliability within an application or platform
• Advanced knowledge and experience in observability such as white and black box monitoring, service level objectives, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
• Expert-level proficiency in Java, Go (Golang), Python, and Terraform for building enterprise-grade applications, high-performance systems, automation, and infrastructure as code
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve reliability engineering workflows with strong validation habits and awareness of data sensitivity.
  Ability to set team practices for safe AI usage in operations (e.g., review/approval expectations and escalation paths) while maintaining resiliency, security, and auditability outcomes
  Advanced knowledge of software applications and technical processes with considerable depth in multiple technical disciplines including distributed systems, microservices architecture, and cloud-native technologies
• Hands-on experience building AI Agents and autonomous systems with proficiency in AI frameworks (LangChain, LangGraph, AutoGen, CrewAI) and leveraging AI development tools (GitHub Copilot, Claude, etc.) to accelerate development and innovation and Expertise in designing and implementing logging pipelines (Fluentd, Logstash, Vector) and systems for metrics collection, analysis, and distributed tracing
• Strong experience building production-grade RESTful APIs and designing message queue architectures (Kafka, RabbitMQ, SQS) for event-driven systems; and expertise in graph databases (Neo4j, TigerGraph), vector databases (Pinecone, Weaviate, Chroma), and integrating multiple data stores for AI-powered systems
• Proficiency with containerization (Docker, Kubernetes), CI/CD pipelines, and GitOps workflows
• Ability to communicate data-based solutions with complex reporting and visualization methods, recognized as an active contributor of the engineering community, and continues to expand network and leads evaluation sessions with vendors to see how offerings can fit into the firm's strategy
  

Preferred qualifications, capabilities, and skills

• Experience with MCP (Model Context Protocol) Servers or similar agent frameworks for building autonomous systems, and understanding of LLM integration, prompt engineering, and RAG (Retrieval-Augmented Generation)
• Familiarity with AI/ML model building, deployment, and lifecycle management using frameworks like TensorFlow, PyTorch, or scikit-learn
• Experience with big data technologies (Hadoop, Spark, Flink), analytical databases, NoSQL databases (MongoDB, Cassandra, DynamoDB), and time-series databases (InfluxDB, TimescaleDB)
• Knowledge of security best practices and compliance requirements in highly regulated industries, with experience in chaos engineering tools (Chaos Monkey, Gremlin, LitmusChaos) and GameDay exercises
• Contributions to open-source projects, particularly in SRE, observability, or AI/ML domains, and certifications in cloud platforms (AWS, Azure, GCP)
• Strong communication skills with ability to mentor and educate others on site reliability principles and practices, and ability to anticipate, identify, and troubleshoot defects found during testing

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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Work with stakeholders to define non-functional requirements and availability targets for the services in application and product lines