Site Reliability Engineer
Talentmate
India
24th June 2026
2606-1988-5270
Job Description
- Experience in one or more high level programming languages like Python or Ruby or GoLang and familiar with Object Oriented Programming.
- Design and implement the CI/CD/CT pipeline on one or more tool stack, like Jenkins, Bamboo, azure DevOps, and AWS Code pipeline with
- Proficiency in one or more Infrastructure as code tools (e.g. Terraform, Cloud Formation, Azure ARM etc.)
- Developing, managing monitoring tools and log analysis tools to manage operations with exposure to tools such as App Dynamics, Data Dog, Splunk, Kibana, Prometheus, Grafana Elasticsearch (and not limited to).
- Hands-On experience with AIOps Process and platforms (e.g., Dynatrace, Splunk, ServiceNow) for incident management, observability and noise reduction.
- Familiarity with Prompt Engineering, GenAI Applications, AI/ML frameworks (e.g., TensorFlow, PyTorch) or platforms (e.g., OpenAI, Vertex AI).
- Having awareness of Agentic AI solutions applicable in Operations and Support.
- Manage capacity and performance to help scale the infrastructure both on public and private clouds around the world
- Define and implement standards and best practices related to: System Architecture, Deployment, metrics, operational tasks
- Support services through activities such as monitoring availability, system health, and incident response
- Improve system performance, application delivery and efficiency through automation, process refinement, postmortem reviews, and in-depth configuration analysis
- Engage in Communications across all areas of the organization
- Troubleshooting and monitoring production systems to ensure the highest uptimes are maintained
- Support and improve upon existing high-availability architecture solutions as well as manage the operational activity.
- Integrate Generative AI (GenAI) and AIOps tools to automate incident detection, root cause analysis, and resolution workflows (e.g., self-healing scripts, intelligent runbooks), reducing manual toil and accelerating response times.
- Apply Prompt Engineering techniques to enhance interactions with AI-based observability and automation platforms improving accuracy and efficiency of AI responses.
- Leverage platform-specific AI capabilities (e.g., AWS Bedrock, Azure OpenAI, GCP Vertex AI) to architect intelligent SRE solutions tailored to cloud environments.
Job Details
| Role Level: | Not Applicable | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Mangaluru ,Karnataka |
| Company Website: | https://www.infosys.com | Job Function: | DevOps & QA |
| Company Industry/ Sector: |
Other | ||
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