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Platform Engineer - IAC Terraform

Zortech Solutions
5 - 10 Years
Multiple Locations

Posted on: 14/07/2026

Job Description

Platform Engineer


Responsibilities and Impact:


- Partner with a global team of engineers to help design and build cloud-based solutions to solve complex business issues.

- Building automation to help solve technical challenges to achieve a strong security posture across a large estate.

- Leverage infrastructure as code to deploy AWS resources and components to meet ever changing business needs.

- This will require partnership with business and product resources to understand the requirements and help define and build solutions.

- Helping design and drive multi-cloud platforms and tooling as standard solutions for a large business segment to identify best cloud opportunities for products and teams.

What Were Looking For:

- This role requires a minimum of 5 years of experience in working with infrastructure with significant focus on Cloud based technologies and IaC.

- Additionally, candidates should have extensive experience in designing and automating builds through configuration management tools such as Ansible within cloud platforms with a broad exposure to various services in AWS.

Platform Engineering:

- Strong automation of configuration management

- Cloud-native architecture on AWS or Azure

- Infrastructure as Code (IaC): Terraform

- 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

AI/ML Integration:

- Deploying machine learning models into production using MLOps

- Automation of model retraining and monitoring (drift detection, alerting)

- AI-driven anomaly detection, performance prediction, and capacity forecasting

- Experience in AIOps practices

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)

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