> Markdown version of [/jobs/ext/2379656-site-reliability-engineer-iii-machine-learning](https://www.wearedevelopers.com/jobs/ext/2379656-site-reliability-engineer-iii-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer III - Machine Learning - **Company:** JPMorgan Chase & Co. - **Location:** Wilmington, DE, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** 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), Machine Learning, Octopus Deploy, Operational Data Store, Reliability Engineering, Computer Network Technologies, Spring-boot, Kubernetes, Restful APIs, Terraform, Databricks, Programming Languages - **Published:** August 16, 2026 - **Apply:** https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/requisitions/preview/210777943 ## About the Role * 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. ## 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Designing UX for SRE Agents in High-Stakes Incidents](https://www.wearedevelopers.com/videos/100003-designing-ux-for-sre-agents-in-high-stakes-incidents) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) ## Related Articles - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)