Senior Lead Site Reliability Engineer
JPMorgan Chase1 day ago
Base Salary
$176k - $260k/yr
Responsibilities
- Define non-functional requirements, availability targets, service-level indicators, and service-level objectives with engineering stakeholders.
- Create high-quality designs, roadmaps, and program charters alongside engineering teams.
- Design and implement observability and reliability solutions for complex distributed systems.
- Drive debugging and evolution of critical application and platform components.
- Mentor technologists, establish team practices, and champion site reliability adoption.
- Use and govern enterprise-authorized AI capabilities for incident analysis, requirements traceability, testing, validation, and production readiness.
- Design logging pipelines, metrics collection, distributed tracing, RESTful APIs, and event-driven message queue architectures.
- Contribute to the site reliability community through forums, communities of practice, guilds, conferences, and open-source work where applicable.
- Evaluate vendor offerings and communicate data-based solutions through reporting and visualization.
Requirements
- Formal training or certification in site reliability engineering concepts and 5+ years of applied experience.
- Advanced knowledge of SRE principles, observability, monitoring, service-level objectives, alerting, and telemetry collection.
- Expert-level proficiency in Java, Go, Python, and Terraform.
- Experience implementing reliability practices for applications or platforms, including distributed systems, microservices, and cloud-native technologies.
- Experience using enterprise-authorized AI capabilities safely, with validation, data-sensitivity awareness, resiliency, security, and auditability controls.
- Hands-on experience building AI agents and autonomous systems with LangChain, LangGraph, AutoGen, and CrewAI, plus AI development tools such as GitHub Copilot and Claude.
- Experience with logging pipelines, metrics systems, distributed tracing, RESTful APIs, Kafka, RabbitMQ, and SQS.
- Expertise with graph databases, vector databases, and integrating multiple data stores for AI-powered systems.
- Proficiency with Docker, Kubernetes, CI/CD pipelines, and GitOps workflows.
- Preferred experience includes on-premises or hybrid data-center infrastructure, MCP Servers, LLM integration, prompt engineering, RAG, TensorFlow, PyTorch, scikit-learn, Hadoop, Spark, Flink, MongoDB, Cassandra, DynamoDB, InfluxDB, TimescaleDB, chaos engineering, and cloud platforms.
- Knowledge of security best practices and compliance requirements in highly regulated industries.
- Strong communication, mentoring, troubleshooting, vendor-evaluation, and engineering-community participation skills.
Benefits
- Competitive total rewards package with benefits including comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
- Employment is contingent on review of criminal conviction history under Section 19 of the Federal Deposit Insurance Act.
Tech Stack
Amazon DynamoDBApache CassandraApache FlinkApache HadoopApache KafkaApache SparkAWSAzureDatadogDockerGoGoogle Cloud PlatformGrafanaInfluxDBJavaKubernetesLogstashMongoDBNeo4jPrometheusPythonPyTorchRabbitMQscikit-learnSplunkTensorFlowTerraform
Categories
Site Reliability
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.