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Wells Fargo
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Systems Operations Engineer

Systems Operations Engineer

Wells Fargo

2 - 7 years

7 - 17 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

python sql grafana shell scripting system engineering kubernetes data analysis azure monitoring system operations dynatrace microsoft azure google ansible docker appdynamics devops cloud operations jenkins splunk prometheus aws amazon cloudwatch

Work Mode

Work from Office

Job Type

Full Time

Job Description

About this role:

Wells Fargo is seeking a...

In this role, you will:

Participate in complex technical issues and initiatives related to large scale applications, systems, databases, or other technical products and services
Identify opportunity for process improvements within technical support strategies and plans
Review and analyze technical queries to extract data, create standard databases, or perform limited programming to fine tune systems supporting low to medium risk technical deliverables
Present recommendations for resolving complex technical queries
Exercise some independent judgment to analyze performance trends and recommend process improvements while developing understanding of technical process controls or standards
Work as an internal consultant regarding use of tools and processes
Provide information related to supported system area to functional colleagues, internal partners and stakeholders, including internal customers

Required Qualifications:

2+ years of Systems Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

Monitoring and Observability Engineer
- Experience:
  35 years of hands-on experience in monitoring and observability tools across enterprise-scale environments.
- Monitoring Tools Expertise:
  Proven experience in implementing, configuring, and maintaining the following tools:
  - AppDynamics
  - ThousandEyes
  - Splunk
  - Grafana
  - Prometheus
  - Elastic Stack (ELK)
- Scripting and Automation:
  - Strong scripting skills in Python or Shell for automation, data parsing, and custom integrations.
  - Experience developing monitoring scripts, alerting logic, and automation workflows.
- Database and Querying Skills:
  - Solid understanding of SQL with the ability to write complex queries for data analysis and reporting.
- Soft Skills:
  - Strong analytical and problem-solving abilities.
  - Excellent communication and collaboration skills.
  - Ability to work independently and in cross-functional teams.

Job Expectations:

As a Monitoring and Observability Engineer, you will be expected to:
Collaborate with Vertical Application Support Teams:
- Partner with application owners and support teams to understand system architecture, performance baselines, and critical business transactions.
- Act as a bridge between infrastructure monitoring and application-level observability.
Enhance Observability Frameworks:
- Design and implement end-to-end observability solutions tailored to specific application needs.
- Ensure comprehensive coverage across metrics, logs, traces, and synthetic monitoring.
Tool Integration and Optimization:
- Integrate observability tools (e.g., AppDynamics, ThousandEyes, Splunk, Grafana, Prometheus, Elastic) into application environments.
- Optimize dashboards, alerts, and reports to provide actionable insights.
Automation and Scripting:
- Develop automation scripts using Python or Shell to streamline monitoring setup, data collection, and alerting mechanisms.
- Maintain reusable scripts and templates for rapid deployment across environments.
SQL and Data Analysis:
- Use SQL to extract, analyze, and correlate data from monitoring platforms and application databases.
- Support root cause analysis and performance tuning through data-driven insights.
Incident Response and Continuous Improvement:
- Participate in incident triage and post-mortem analysis to identify observability gaps.
- Continuously refine monitoring strategies based on feedback and evolving application landscapes.
Documentation and Knowledge Sharing:
- Maintain clear documentation of observability configurations, standards, and best practices.
- Conduct knowledge-sharing sessions with support teams to promote observability maturity.

Experience with cloud-native monitoring tools like AWS CloudWatch, Azure Monitor, or Google Cloud Operations Suite.
Familiarity with GenAI-powered observability features in platforms like Splunk AI Assistant or Dynatrace Davis AI for automated insights and RCA.
Knowledge of OpenTelemetry for distributed tracing and integration with cloud-native environments.
Ability to use GenAI for incident summarization and documentation , improving post-mortem analysis and knowledge sharing.
Exposure to Kubernetes observability using Prometheus, Grafana, and service mesh tools like Istio.
Basic understanding of ML-based anomaly detection and time-series forecasting for predictive monitoring.

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