TCS Hiring for Observability Tools Tech Lead_PAN India

TCS Hiring for Observability Tools Tech Lead_PAN India

Experience: 8 to 12 Years Only

Job Location: PAN India

TCS Hiring for Observability Tools Tech Lead_PAN India

Required Technical Skill Set:

Core Responsibilities:

1. Designing and Implementing Observability Solutions:

• This involves selecting, configuring, and deploying tools and platforms for collecting, processing, and analyzing telemetry data (logs, metrics, traces).

1. Developing and Maintaining Monitoring and Alerting Systems:

• Creating dashboards, setting up alerts based on key performance indicators (KPIs), and ensuring timely notification of issues.

1. Instrumenting Applications and Infrastructure:

• Working with development teams to add instrumentation code to applications to generate meaningful telemetry data. This often involves using open standards like Open Telemetry.

1. Analyzing and Troubleshooting System Performance:

• Investigating performance bottlenecks, identifying root causes of issues, and collaborating with development teams to resolve them.

1. Defining and Tracking Service Level Objectives (SLOs) and Service Level Indicators (SLIs):

• Working with stakeholders to define acceptable levels of performance and reliability and tracking these metrics.

1. Improving Incident Response and Post-Mortem Processes:

• Using observability data to understand incidents, identify contributing factors, and implement preventative measures.

1. Collaborating with Development, Operations, and SRE Teams:

• Working closely with other teams to ensure observability practices are integrated throughout the software development lifecycle.

1. Educating and Mentoring Teams on Observability Best Practices:

• Promoting a culture of observability within the organization.

1. Managing and Optimizing Observability Infrastructure Costs:

• Ensuring the cost-effectiveness of observability tools and platforms.

1. Staying Up to Date with Observability Trends and Technologies:

• Continuously learning about new tools, techniques, and best practices.

Key Skills:

1. Strong Understanding of Observability Principles:

• Deep knowledge of logs, metrics, and traces and how they contribute to understanding system behavior.

1. Proficiency with Observability Tools and Platforms:

• Experience with tools like:
• Logging: Elasticsearch, Splunk, Fluentd, Logstash, etc.,
• Metrics: Prometheus, Grafana, InfluxDB, Graphite, etc.,
• Tracing: OpenTelemetry, DataDog APM, etc.,
• APM (Application Performance Monitoring): DataDog, New Relic, AppDynamics, etc,

1. Programming and Scripting Skills:

• Proficiency in languages like Python, Go, Java, or scripting languages like Bash for automation and tool integration.

1. Experience with Cloud Platforms:

• Familiarity with cloud providers like AWS, Azure, or GCP and their monitoring and logging services.

1. Understanding of Distributed Systems:

• Knowledge of how distributed systems work and the challenges of monitoring and troubleshooting them.

1. Troubleshooting and Problem-Solving Skills:

• Strong analytical skills to identify and resolve complex issues.

1. Communication and Collaboration Skills:

• Ability to effectively communicate technical concepts to different audiences and work collaboratively with other teams.

1. Knowledge of DevOps and SRE Practices:

• Understanding of continuous integration/continuous delivery (CI/CD), infrastructure as code, and site reliability engineering principles.

1. Data Analysis and Visualization Skills:

• Ability to analyze telemetry data and create meaningful dashboards and reports.

1. Experience with Containerization and Orchestration:

• Familiarity with Docker, Kubernetes, and related technologies.

Kind Regards,

Priyankha M