**Site Reliability Engineer III**
Lead SRE efforts at JPMorgan Chase, configuring, maintaining, and optimizing applications. Contribute to innovation and drive a reliability culture. Requirements: 3+ years of SRE experience, proficiency in Python/Java, and familiarity with site reliability engineering concepts. Uphold SLOs, manage incidents, and adopt AI capabilities within the work environment. Collaborate with a team dedicated to secure, scalable technology.
Full Job Description
Location: Hyderabad, Telangana, India
Join a team where your expertise in site reliability engineering shapes the future of secure, scalable technology. Grow your skills and make a meaningful impact in a collaborative environment.
As a Site Reliability Engineer III at JPMorgan Chase within the Cyber & Technology Controls team, you will solve complex business problems with straightforward solutions. You will configure, maintain, monitor, and optimize applications and infrastructure, independently improving existing solutions. You contribute to your team by sharing knowledge of end-to-end operations, availability, reliability, and scalability. We value your ability to drive innovation and foster a culture of reliability.
Job responsibilities
Guide and assist others in building appropriate level designs and gaining consensus from peers.Collaborate with software and infrastructure engineers to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines.Design, develop, test, and implement solutions that improve the availability, reliability, and scalability of applications.Implement infrastructure, configuration, and network as code for applications and platforms.Collaborate with technical experts, key stakeholders, and team members to resolve complex problems.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.Utilize service level indicators and objectives to proactively resolve issues before they impact customers.Support the adoption of site reliability engineering best practices within your team.Lead major incident response, root cause analysis, and blameless postmortems.Required qualifications, capabilities and skills
Formal training or certification on site reliability engineering concepts and 3+ years applied experienceProficient in site reliability culture and principles and familiarity with implementation within applications or platformsProficient in at least one programming language such as Python or Java/Spring BootProficient knowledge of software applications and technical processes within technical disciplines (e.g., Platform Infra, Cloud, Artificial Intelligence)Experience in observability including monitoring, alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, SplunkExperience with continuous integration and continuous delivery tools like Jenkins, GitLab, or TerraformExperience with SLO/SLI definition, chaos engineering, and disaster recovery planningWorking knowledge of using enterprise-authorized AI capabilities within the work environment to support SRE workflows with strong validation habits and awareness of data sensitivityAbility to validate AI-assisted operational recommendations before applying changes, escalating when uncertain and following data sensitivity requirementsPreferred qualifications, capabilities and skills
Hands-on experience with AWS, Azure, GCP, or other cloud environmentsHands-on experience with Terraform or other infrastructure as code technologiesHands-on experience with GitHub and code reviewsHands-on experience with DevOps using Python and scripting for automation Drive reliability and scalability for critical applications through code, cloud, and SRE best practices. 
