Site Reliability Engineer III

JP Morgan Chase; Bengaluru; Presencial; INR 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

JPMorgan Chase is seeking a Site Reliability Engineer III in Bengaluru to ensure reliability, scalability, and performance of critical banking systems. You will transform operations into code, monitor production environments, and collaborate with software and product teams to drive resilience and efficiency.

You will build and maintain real-time dashboards, manage incidents, and contribute to DR, SR, and HA readiness.

Formación

• Formal training or certification in site reliability engineering concepts or similar.
• 3+ years of applied experience in IT services or platform operations.

Responsabilidades

• Treat operations as software problems and minimize client impacts through monitoring and automation.
• Collaborate with Software Engineering and Product teams to improve stability, performance and availability.
• Maintain real-time dashboards and address incidents, changes, and problems across full-stack systems.
• Support DR, SR, and HA events to ensure platform resiliency.
• Troubleshoot production flows and reduce toil through automation and process improvements.
• Lead small to medium projects and write high-quality, maintainable code.

Conocimientos

Python

Shell

Cloud platforms

Observability

CI/CD

ITIL

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Herramientas

Jenkins

GitLab

Terraform

Kubernetes

Descripción del empleo

• Business Unit Commercial & Investment Bank
• Posting Date 11/03/2026, 06:29 AM
• Apply Before 11/04/2026, 05:00 AM
• Job Schedule Full time
• Job Shift Day

Job Description

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 Commercial & Investment Bank, 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

• Treat operations as software problems, solve system failures, minimize client impacts and ensure all systems function seamlessly to meet business needs and Monitor production environments for anomalies and address issues utilizing standard observability tools.
• Create proactive event management through observability and developing automation to minimize toil and Work closely with the Software Engineering and Product teams/other stakeholders to understand issues, drive resolutions, and stability enhancements of the applications, leading to improvement in operational stability, performance, and availability.
• Create, continuously improve, and maintain real-time monitoring dashboards to ensure system operability and performance and Identify trends and assist in the management of incidents, problems, and changes in support of full-stack technology systems, applications, or infrastructure.
• Participate in public cloud infrastructure management and cost optimization and Ensure resiliency of the platform through managed Disaster Recovery (DR), Site Reliability (SR), and High Availability (HA) events.
• Analyzes and troubleshoots production application flows to ensure end-to-end application or infrastructure service delivery supporting the business operations of the firm.
• Improves operational stability and availability through participation in problem management and Assists in the escalation and communication of issues and solutions to the business and technology stakeholders.
• Executes small to medium projects independently with initial direction and eventually graduates to designing and delivering projects autonomy and Leverages technology to solve business problems by writing high quality, maintainable, and robust code following best practices in software engineering.
• Participates in triaging, examining, diagnosing, and resolving incidents and work with others to solve problems at their root and Recognizes the toil within your role and proactively works towards eliminating it through either systems engineering or updating application code.
• Understands observability patterns and strives to implement and improve service level indicators, objectives monitoring, and alerting solutions for optimal transparency and analysis.
• 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.

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.

Required qualifications, capabilities, and skills

• Formal training or certification on site reliability engineering concepts and 3+ years applied experience
• Experience in troubleshooting, resolving, and maintaining information technology services.
• Knowledge of applications or infrastructure in a large-scale technology environment, on premises or in public cloud.
• Strong problem-solving skills and the ability to troubleshoot issues within the Athena platform.
• Ability to code in at least one programming language such as Shell or Python.
• Demonstrated knowledge of maintaining a cloud-based infrastructure and observability and monitoring tools and techniques.
• Experience with processes in scope of the Information Technology Infrastructure Library (ITIL) framework and experience with Linux as an operating system and application support.
• Demonstrated knowledge of site reliability concepts, principles, practices and knowledge of observability, such as white-box and black-box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
• Experience with common networking technologies and continuous integration/continuous delivery tools like Jenkins, GitLab, or Terraform.
• 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