Platform Engineer

TechBlocks; Hyderabad; Sur place; INR 1 800 000 - 3 000 000; Plein temps

Résumé du poste

TechBlocks is seeking a Platform Engineer to join our Hyderabad-based team. You will design and manage cloud-native infrastructure on AWS/Azure with Terraform and Ansible, build secure CI/CD pipelines, and drive observability, cost optimization, and AI-driven automation across enterprise-scale environments.

Hands-on experience with Terraform, Ansible, GitHub Actions, Prometheus, Grafana, and security-focused SDLC practices is essential, along with scripting skills in Python, Bash, or PowerShell.

Qualifications

• We are seeking a Platform Engineer with cloud-native expertise and automation experience.
• Strong hands-on Terraform, Ansible, and CI/CD across multiple platforms.
• Experience with observability tools and cloud security best practices.

Responsabilités

• 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, 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 efficiency.
• Leverage AI/ML and AIOps capabilities for anomaly detection and optimization.

Connaissances

Cloud-native architecture

Automation

DevSecOps

ML/AIOps awareness

Observability

Outils

Terraform

Ansible

GitHub Actions

GitLab CI

Azure DevOps

Prometheus

Grafana

Splunk

OpenTelemetry

Python

PowerShell

Bash

Airflow

Prefect

Secrets Manager

Azure Vault

CyberArk

Description du poste

Requirements

We are looking for a Platform Engineer with strong experience in cloud-native architecture, automation, and infrastructure management across AWS or Azure. The ideal candidate should have hands-on expertise in Terraform, Ansible, CI/CD, Python/Bash/PowerShell, and observability tools such as Prometheus, Grafana, Splunk, or OpenTelemetry. Strong knowledge of DevSecOps, cloud security, secrets management, and enterprise-scale automation is required. Experience with MLOps, AIOps, AI-driven automation, or ML model deployment will be an added advantage.

Roles and Responsibilities

• 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.

Who you''ll be working with

• 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

Required Skills Qualifications

Platform Engineering

• 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

DevOps Automation

• 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.

Security Compliance

• 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)

Preferred / Nice-to-Have Skills

• 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