Posted on: 27/11/2025
Role Overview :
We are seeking a highly skilled Platform Engineer with deep expertise in AWS, Infrastructure as Code, automation, scripting, and modern CI/CD ecosystems. This role is part of an advanced cyber security engineering team building next-generation digital platforms that support secure, scalable, and AI-augmented capabilities. The ideal candidate brings hands-on engineering proficiency, strong architectural thinking, and the ability to drive automation at scale across cloud infrastructure, observability, security, and developer workflows.
Key Responsibilities :
Cloud Platform Engineering :
- Design, build, and maintain enterprise-grade AWS infrastructure aligned with security, scalability, and high availability principles.
- Implement Infrastructure-as-Code (IaC) solutions using Terraform, AWS CloudFormation, CDK, or equivalent tools.
- Define cloud architecture patterns, reusable modules, and automation frameworks to accelerate environment provisioning.
Automation, Scripting & Tooling :
- Develop automation workflows using Python, PowerShell, and Bash for infrastructure deployment, configuration management, and operational tasks.
- Build end-to-end IaC pipelines integrating linting, policy checks, testing, and deployment automation.
- Automate environment validation, drift detection, and lifecycle management of cloud assets.
CI/CD & DevOps Enablement :
- Develop and enhance CI/CD pipelines using GitHub, GitHub Actions, TeamCity, Jenkins, Octopus, or other enterprise tooling.
- Integrate automated quality gates, secrets management, security scans, and compliance checks into pipelines.
- Improve developer productivity through optimized build, release, and environment automation.
Observability & Reliability :
- Automate the ingestion and correlation of logs, metrics, and traces using tools such as Prometheus, Grafana, CloudWatch, and ELK/Opensearch.
- Build dashboards, alerting rules, and reliability automation to maintain platform health and performance.
- Implement monitoring-as-code and ensure observability standards across all deployed services.
AI-Driven Engineering & Emerging Tech :
- Work with GenAI models, agents, and MCP (Model Context Protocol) integrations to power automation, diagnostics, and developer tooling.
- Evaluate and integrate AI-based observability or security enhancements into the platform.
- Collaborate with ML and Cyber Security teams to enhance platform intelligence and decision automation.
Platform Security & Compliance :
- Implement cloud security controls, IAM best practices, encryption standards, and network security patterns.
- Automate compliance enforcement and continuous security assessments within the platform.
- Collaborate with cybersecurity teams to integrate zero-trust principles, threat detection, and policy automation.
Required Technical Skills :
- Strong hands-on expertise with AWS services, architecture, and deployment workflows.
- Proficiency in Python, PowerShell, and Bash for automation and tooling.
- Practical experience with IaC frameworks such as Terraform, CloudFormation, and AWS CDK.
- Working knowledge of Git-based workflows and CI/CD tools such as GitHub, GitHub Actions, Jenkins, TeamCity, or Octopus.
- Strong understanding of Windows and Linux server environments.
- Experience with observability platforms (Prometheus, Grafana, CloudWatch) and monitoring automation.
- Ability to design, deploy, and maintain automation at scale across cloud environments.
Preferred Skills :
- Exposure to GenAI models, agent-based automation, and MCP frameworks.
- Experience with Ansible or similar configuration management tools.
- Familiarity with containerization (Docker) and orchestration (ECS, EKS, Kubernetes).
- Understanding of cloud security frameworks and automated compliance tooling.
- Experience building internal developer platforms, self-service environments, or cloud landing zones.
Qualifications :
- Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or a related discipline.
- 6+ years of experience in cloud engineering, DevOps, platform engineering, or SRE roles.
- AWS certifications (Solutions Architect, DevOps Engineer, SysOps Administrator) preferred.
- Demonstrated experience in building automation-first, secure, and resilient cloud platforms.
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Posted By
Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1581545
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