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JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Formal training or certification on site reliability engineering concepts and 5+ years of applied experience.
  • Strong production coding skills in an industry-standard language such as Python, Go, Java, C++, or Rust.
  • Hands-on experience operating production systems at scale, including on-call ownership, incident response, and designing for reliability and operability.
  • Practical SLI, SLO, and error-budget experience, or clear aptitude and appetite to own and evolve them.
  • Deep observability experience, including white-box and black-box monitoring, SLO-based alerting, and telemetry using tools such as Grafana, Prometheus, Splunk, Datadog, Dynatrace, or equivalent.
  • Proficiency with Unix-like systems plus infrastructure automation and tooling such as Kubernetes, Terraform, and continuous integration and continuous delivery.
  • Strong systems thinking across interfaces, contracts, failure modes, and interactions at scale.
  • Fluency directing artificial intelligence tools to perform engineering work beyond autocomplete, with sound judgment about when artificial intelligence applies versus when deep human expertise is required.
  • A security-first and outcome-oriented mindset, integrating risk judgment from design through production with focus on reliability, impact, and cost.
  • Demonstrated experience using enterprise-authorized artificial intelligence capabilities to improve site reliability engineering workflows, with strong validation habits and awareness of data sensitivity.
  • Ability to evaluate artificial-intelligence-assisted operational recommendations for correctness and risk, define guardrails for team usage, and ensure outcomes align with resiliency and security expectations.

Responsibilities

  • Engineer reliability into enterprise-scale platforms by writing production software, including automation, control loops, self-healing, and tooling that removes manual operations.
  • Build systems around declarative, intent-based design by modeling desired state as data in a trusted source of truth and continuously reconciling reality to it.
  • Instrument, collect, and analyze telemetry and state data to drive detection, diagnosis, and closed-loop remediation.
  • Define and operationalize service-level indicators and service-level objectives with stakeholders, and implement SLO-based alerting, telemetry standards, and actionable observability.
  • Own services end-to-end, taking accountability for reliability, performance, security, and cost while building operability and observability in from the start.
  • Share an on-call rotation and act as a technical leader during major incidents by driving triage, mitigation, communications, blameless post-incident reviews, and durable fixes.
  • Drive down toil measurably through automation and engineering improvements.
  • Use artificial intelligence across the software development lifecycle, including AI-assisted development, code review, test generation, incident analysis, and root-cause analysis, with secure coding, peer review, automated testing, and clear validation standards.
  • Decompose ambiguous reliability problems into executable work for engineers and artificial-intelligence agents, integrate the results into production-ready systems, set reliability standards, and apply security and operational-risk judgment throughout the engineering lifecycle.
  • Lead reuse-first adoption of AI-assisted reliability workflows across software development lifecycle and toolchain practices, including continuous integration and continuous delivery quality checks, test and validation automation, and operational readiness, while ensuring traceability, auditability, resiliency, and security controls.
  • Use enterprise-authorized artificial intelligence capabilities to accelerate major-incident triage, troubleshooting, and post-incident analysis while validating outputs and handling operational data according to sensitivity and security requirements.
  • Conduct resiliency design reviews, serve as a technical lead for medium- to large-sized products, break complex problems into digestible work, and advise and mentor other engineers.

Desired Qualifications

  • Networking depth in routing, switching, security, and packet or flow analysis, or experience operating network-adjacent platforms.
  • Experience across multiple infrastructure domains or programming languages.
  • Ongoing artificial intelligence skill development, such as context and prompt engineering or agent orchestration, and use of artificial intelligence to redesign workflows for measurable impact.
  • Prior experience in regulated or large-scale enterprise environments.
  • Experience establishing engineering culture.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1799

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