at J.P. Morgan
Bulge Bracket Investment BanksPosted 3 days ago
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**Site Reliability Engineer III** at JPMorgan Chase in Houston, TX needs you to solve broad business problems with simple, reliable solutions. As an experienced Senior-level Site Reliability Engineer, you'll configure, maintain, and optimize applications while independently improving existing solutions. Key responsibilities include guiding peers, collaborating with teams, using enterprise-authorized AI for incident triage, implementing IaC using tools like Terraform, and proactively addressing issues. Required skills include proficient knowledge of site reliability engineering principles, at least one programming language (Python, Java, or .Net), AI capabilities, observability, and CI/CD experience. Bring your expertise in cloud infrastructure, container orchestration, and networking to join our team driving innovation in risk technology.
- Compensation
- Not specified
- City
- Houston
- Country
- United States
Currency: Not specified
Full Job Description
Location: Houston, TX, United States
As a Site Reliability Engineer III at JPMorgan Chase within the Corporate Technology, Risk technology team, you will solve complex and broad business problems with simple and straightforward solutions. Through code and cloud infrastructure, you will configure, maintain, monitor, and optimize applications and their associated infrastructure to independently decompose and iteratively improve on existing solutions. You are a significant contributor to your team by sharing your knowledge of end-to-end operations, availability, reliability, and scalability of your application or platform.
- 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.
- Formal training or certification on site reliability engineering concepts and 3+ years applied experience ( NAMR/APAC India/ LATAM/ Hong Kong)
- 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
- Proficient in at least one programming language such as Python, Java/Spring Boot, and .Net
- Proficient knowledge of software applications and technical processes within a given technical discipline (e.g., Cloud, artificial intelligence, Android, etc.)
- Experience in observability such as white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, and others
- Experience with continuous integration and continuous delivery tools like Jenkins, GitLab, or Terraform
Familiarity with container and container orchestration such as ECS, Kubernetes, and Docker
