GenAI Engineer With SRE Skill Experience

 

Seeking a GenAI Engineer to support large-scale Site Reliability Engineering (SRE), Platform Health, and Engineering Productivity initiatives. The candidate will leverage Generative AI technologies, automation frameworks, and cloud-native tooling to improve operational efficiency, incident reduction, observability, code quality, and developer productivity across enterprise platforms.

 

The role requires close collaboration with SRE teams, platform engineering teams, application development teams, and business stakeholders to identify automation opportunities and implement AI-driven solutions.

 

 

GenAI & Automation

 

Implement AI-assisted solutions using Devin AI, GitHub Copilot, LLMs, and AI agents.

Develop automation workflows for operational tasks, platform health assessments, and engineering productivity initiatives.

Build AI-powered capabilities for:

Code remediation

Test case generation

Knowledge management

Root cause analysis support

Runbook generation

Operational documentation

SRE & Platform Reliability

 

Support reliability improvements through automation and AI-driven insights.

Analyze incidents, alerts, and operational trends to identify improvement opportunities.

Assist in reducing MTTR through intelligent troubleshooting and automation.

Partner with SRE teams to improve service health, availability, and resilience.

Observability & Monitoring

 

Enable monitoring and observability solutions across distributed systems.

Develop AI-assisted analysis for logs, metrics, traces, and platform telemetry.

Create dashboards and reporting mechanisms for platform health metrics.

Engineering Productivity

 

Drive adoption of AI tools across development and operational teams.

Measure and track productivity gains, automation coverage, and quality improvements.

Support code modernization, technical debt reduction, and platform transformation initiatives.

Data & Analytics

 

Develop Python-based analytics and automation solutions.

Analyze operational datasets to identify trends and optimization opportunities.

Generate executive-level reports and insights from platform health data.

Stakeholder Collaboration

 

Work with Platform Engineering, SRE, Application Teams, Architects, and Leadership.

Participate in planning, solution design, POCs, and AI capability assessments.

Present findings, recommendations, and progress updates to stakeholders.

Required Skills

 

 

Python development and automation scripting

Generative AI concepts and LLM integrations

GitHub Copilot, Devin AI, OpenAI/Azure OpenAI ecosystem

REST APIs and automation frameworks

Git, CI/CD pipelines, GitHub Actions

Linux/Unix administration

Cloud Platforms (AWS, Azure, Google Cloud Platform)

Terraform and Infrastructure as Code

Monitoring tools such as Splunk, Dynatrace, Prometheus, Grafana, Datadog, New Relic

SRE Knowledge

 

Incident Management

Problem Management

Service Reliability

Availability Management

Operational Excellence

Observability Principles

Production Support

Preferred Qualifications

 

Experience supporting enterprise-scale applications and platforms.

Experience implementing AI-powered engineering solutions.

Knowledge of Kubernetes, container platforms, and cloud-native architecture.

Understanding of software development lifecycles and DevOps practices.

Experience working with large-scale platform health or modernization programs.

Experience

 

Senior Engineer: 6 to 10 years

Experience in SRE, Platform Engineering, DevOps, Automation, or GenAI solutions preferred.

Success Metrics

 

Reduction in manual operational effort

Reduction in MTTR and operational incidents

Increased automation coverage

Improved code remediation velocity

Improved observability adoption

Measurable productivity gains through GenAI adoption

Successful delivery of Platform Health and SRE initiatives