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Software Engineer II - Observability Engineering

JPMorgan Chase
Columbus, USA
Full-time
Junior · 2+ years experience
Onsite
Discovered 2 weeks ago
datadogdynatracegrafanajavajavascriptpython

Full Job Posting

Job Responsibilities

  • Configure and optimize monitoring, alerting, and event management; reduce alert noise and improve monitoring hygiene, while driving platform adoption and enabling self-service through automation, observability-as-code, integrations, and AI-enabled capabilities.
  • Partner with application teams to instrument services and standardize telemetry (metrics, logs, traces, events) and alerting through consistent tagging, patterns, and data quality practices.
  • Build and run monitoring/observability solutions across cloud and on-premises environments, improving visibility into system health, business transactions, and customer experience.
  • Deliver operational insights via dashboards, visualizations, and analysis to understand user journeys and dependencies, detect performance/service degradation, and accelerate issue identification.
  • Executes standard software solution, design, development, and technical troubleshooting
  • Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
  • Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Experience in Platform Engineering, DevOps, Monitoring, or Observability-related roles.
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages such as Python, Java, JavaScript, Go, or similar technologies.
  • Experience with one or more observability or monitoring platforms including: Dynatrace, Splunk, Grafana, and/or Datadog
  • Experience working with telemetry concepts including metrics, logs, traces, and alerting.
  • Knowledge of cloud platforms, distributed systems, and modern application architectures.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
  • Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
  • Strong analytical, troubleshooting, and problem-solving capabilities.
  • Strong verbal and written communication skills and the ability to collaborate across engineering teams.

Preferred qualifications, capabilities, and skills

  • Knowledge of monitoring standards, telemetry governance, and observability frameworks.
  • Experience with automation, Infrastructure as Code, or platform engineering practices.
  • Exposure to AI-assisted analytics, anomaly detection, or operational intelligence capabilities.
  • Experience building dashboards, observability reports, and operational analytics solutions.

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