Platform Engineer

Location: Hyderabad

Department: Z- S&P_Corporate DTS

Experience: 6+

• • Build and maintain secure CI/CD pipelines using GitHub Actions, GitLab CI, or Azure DevOps.
  • Design, automate, and manage cloud-native infrastructure across AWS/Azure using Terraform and Ansible.
  • Implement observability, monitoring, performance optimization, and cost optimization across platforms.
  • Develop automation scripts using Python, Bash, or PowerShell and support enterprise-scale configuration management.
  • Drive DevSecOps practices, security controls, compliance, and secrets management throughout the SDLC.
  • Collaborate with engineering teams to improve platform reliability, scalability, and operational efficiency.
  • Leverage AI/ML and AIOps capabilities for anomaly detection, predictive monitoring, and infrastructure optimization.

• • Cloud, DevOps, SRE, Security, and Engineering teams
  • Cloud Architects and Solution Architects
  • Software Developers and Application Engineering teams
  • Product and Business stakeholders
  • Cross-functional teams driving DevSecOps and automation
  • Teams focused on observability, reliability, performance, and cloud optimization

• • Infrastructure as Code (IaC): Terraform
  • Cloud-native architecture on AWS or Azure
  • Strong understanding of Ansible and Ansible Playbooks
  • CI/CD design GitHub Actions (preferable), GitLab CI, Azure DevOps with a strong understanding of security within CI/CD
  • Observability: Prometheus, Grafana, Splunk, OpenTelemetry
  • Cost optimization and performance analysis

• • Strong scripting in Python, Bash, PowerShell
  • Event-driven automation with tools like Airflow or Prefect
  • Auto-scaling infrastructure based on AI-driven forecasting and Machine Learning
  • Secrets and configuration management: Secrets Manager, Azure Vault, CyberArk
  • Experience in working with and creating Ansible playbooks for automated configuration management at enterprise scale.

• • Deep understanding of cloud-native security best practices and implications
  • DevSecOps experience and driving security as a priority in design and build processes
  • Auditability and compliance support for ML pipelines
  • Experience in integrating security practices throughout the SDLC lifecycle (ex: scanning and policy enforcement)

• • Familiarity with programming languages
  • Define product strategy by connecting the dots
  • Make product decisions without ambiguity in collaboration with the team
  • Manage important stakeholders across the organization while leading initiatives
  • Decision-making and accountability/ownership is critical
  • One point of executive customer engagement for a large portfolio
  • Contribute effectively outside your comfort zone