Key Skills: Agentic AI, LLM, AI/ML, Python, Machine Learning, Data Science, ETL, CICD

Roles and Responsibilities:

- Build self-service platform capabilities, reusable templates, and automation to help engineering teams provision, deploy, and operate cloud workloads efficiently.
- Support Azure subscription decomposition and cloud landing zone initiatives, including subscription strategy, resource organization, environment separation, RBAC, policy, governance, and secure connectivity.
- Build and maintain reusable modules for cloud infrastructure, including identity, compute, messaging, monitoring, security, and core networking components.
- Drive DevX and engineering excellence initiatives, including golden paths, reusable engineering templates, standardized CI/CD patterns, automated quality gates, and self-service workflows.
- Partner with security, architecture, and application teams to define secure-by-default infrastructure patterns, including identity-based access, secrets management, policy-driven guardrails, and secure platform standards.
- Enable application teams with standardized deployment patterns that include security, observability, compliance, and operational readiness built into reusable templates.
- Establish observability standards and platform guardrails to improve monitoring, troubleshooting, reliability, and operational maturity across application teams.
- Enable engineering teams to adopt approved AI tools, automation patterns, and platform capabilities to improve productivity, quality, and delivery efficiency.

Skills Required:

- Strong hands-on experience with cloud platforms, preferably Microsoft Azure, including PaaS services, security, governance,



cloud networking, secure connectivity patterns, and operational practices
- Solid hands-on experience with cloud platforms, preferably Microsoft Azure, including cloud native application hosting, platform services, security, governance, cloud networking, secure connectivity and operational practices.
- Understanding of cloud governance and secure-by-default platform patterns, including RBAC, policy as code, tagging, secrets management, compliance, and guardrails.
- Strong experience with Terraform or similar Infrastructure as Code tools
- Experience building or supporting self-service platform capabilities, reusable templates, automation workflows, and standardized engineering patterns.
- Hands-on experience with CI/CD platforms such as Azure DevOps, GitHub Actions or similar tools, including reusable pipeline templates and automated deployment workflows.
- Good understanding of distributed systems and event-driven architectures.
- Strong understanding of observability practices, including logging, metrics, tracing, dashboards, alerts, production monitoring, troubleshooting and SLO/SLA tracking.
- Experience working with engineering teams to drive DevX or engineering excellence initiatives, including golden paths, reusable templates, quality gates, documentation, and platform adoption.
- Exposure to AI-assisted engineering tools or automation practices to improve developer productivity, code quality, and delivery efficiency.
- Strong problem-solving, communication, and collaboration skills with the ability to work across platform, security, architecture, and application teams.

Education: Bachelor's Degree in Engineering

📌 Lead Engineer (Hyderabad)
🏢 MyCareernet
📍 Hyderabad