Site Reliability Engineer III - Machine Learning

JPMorgan Chase & Co.
Wilmington, DE, United States
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) .NET Framework Artificial Intelligence Airflow Amazon Web Services Android Software Development Software Applications Cloud Computing Configuration Management Continuous Delivery Continuous Integration Python (Programming Language)
+11 more
Machine Learning Octopus Deploy Operational Data Store Reliability Engineering Computer Network Technologies Spring-boot Kubernetes Restful APIs Terraform Databricks Programming Languages

Job description

As a Site Reliability Engineer III at JPMorgan Chase within the Corporate Technology, Consumer & Community Banking Risk team, you will tackle complex, wide-ranging business challenges by designing and implementing clear, efficient technical solutions. You will use code and cloud infrastructure to configure, maintain, monitor, and optimize applications and their underlying platforms, independently decomposing existing systems and iteratively enhancing them. In this role, you are a key contributor to your team, sharing deep expertise in end-to-end operations, availability, reliability, and scalability to ensure the resilience and performance of critical applications and services., * Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team

  • Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
  • Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
  • Collaborates with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
  • Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes.
  • Familiar with availability, reliability, scalability, and solutions in their applications and works with partners to improve these outcomes iteratively
  • Proactively recognizes road blocks and identifies improvements to solve business problems, including exploring new technologies where appropriate

Requirements

  • Formal training or certification on site reliability engineering concepts and 3+ years applied experience
  • Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
  • Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
  • Working knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivity
  • Ability to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirements
  • Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, AI, Android, etc.)
  • Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection
  • Experience with continuous integration and continuous delivery tooling
  • Familiarity with container and container orchestration and troubleshooting common networking technologies and issues

Preferred qualifications, capabilities, and skills

  • Experience orchestrating data/compute workflows (e.g., Airflow or AWS Step Functions).
  • Familiarity with Databricks jobs, clusters, and workspace operations (experience using Python or REST APIs to interact is a plus).
  • Infrastructure-as-Code experience; Terraform Enterprise exposure preferred.
  • GitOps and configuration management exposure (e.g., Argo CD/Flux patterns), and operational readiness automation tied to pull-request workflows. *Familiarity with OpenTelemetry or similar standards for metrics/logs/traces instrumentation and correlation.

  • AWS certification preferred.

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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