JPMorganChase
Site Reliability Engineer III - Python, Grafana, Splunk, AWS, Jenkins
Be an Early Applicant
Builds and operates reliable, scalable applications and cloud infrastructure for employee platforms. Responsibilities include infrastructure and configuration as code, CI/CD pipeline development, observability, SLO-based monitoring, incident triage, troubleshooting, and proactive reliability improvements. The role collaborates with software engineers and stakeholders, applies SRE best practices, validates enterprise-authorized AI recommendations, and mentors or guides teammates on reliability and operational excellence.
There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world's most complex and mission-critical systems.
As a Site Reliability Engineer III at JPMorgan Chase within the Employee Platforms 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.
Job responsibilities
- 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
Required qualifications, capabilities, and skills
- 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
- Experience in Python, Grafana , Prometheus, Dynatrace, Datadog and Splunk, AWS, CICD experience, Jenkins, Github, Terraform
- 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
Preferred qualifications, capabilities, and skills
- Familiarity with AI coding assistant tools
- Familiarity with container and container orchestration and troubleshooting common networking technologies and issues
JPMorganChase Bengaluru, Karnataka, IND Office
Devarabeesanahalli, Bellandur, Outer Ring Road, Bengaluru, Karnataka, India, 560103
Similar Jobs
Fintech • Financial Services
Architect and develop a production-grade agentic AI platform enabling business users to configure, deploy, and manage AI agents. Build deep agents, RAG pipelines, multi-agent orchestration, LLM integrations, tool-calling protocols, and configuration-driven workflows. Ensure scalability, observability, resilience, security, and compliance while mentoring engineers and contributing to CI/CD, containerization, and deployment strategies.
Top Skills:
AdAsyncioAutogenCrewaiDeepagents SdkFastapiFlaskGithub ActionsJenkinsKubernetesLangchainLanggraphLarge Language Models (Llms)McpMongoDBOpenshiftPythonRbacRetrieval-Augmented Generation (Rag)SonarqubeSseSsoVector DatabasesWebsockets
Fintech • Financial Services
Performs complex Corporate and Investment Banking lending operations administration, including loan transaction processing, documentation review, data validation, exception handling, issue resolution, and control adherence. Reviews operational outputs, identifies root causes and control gaps, supports process improvements, and serves as a subject matter resource for less experienced staff. Partners with internal stakeholders to maintain service quality, operational effectiveness, and risk controls.
Fintech • Financial Services
Provides operational support for Commercial Cards Sales by maintaining client and program data, preparing reports and presentations, processing account maintenance and onboarding requests, monitoring workflow queues, and coordinating with cross-functional teams. The role supports sales analysts and account managers, maintains data quality, furnishes authorized information, and follows company policies, risk controls, and compliance requirements.
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
