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.