Platform Engineer

The opportunity

We are looking for a Platform Engineer to design, build, automate, and operate secure, scalable, and reliable engineering platforms that enable development teams to deliver cloud-native applications faster and with higher quality. The ideal candidate will have hands-on expertise in Azure, AKS, Kubernetes, Docker, Terraform, Helm, Azure DevOps, GitOps, observability, and platform automation.

This role requires strong ownership of developer experience, infrastructure automation, cloud operations, security-by-design, and platform reliability. The candidate will collaborate with architects, developers, DevOps engineers, cybersecurity teams, product teams, and business stakeholders to establish reusable platform capabilities, standards, and self-service solutions across the software delivery lifecycle.

How you'll make an impact:

Design, build, and maintain internal developer platforms that provide reusable services, templates, pipelines, and automation for application teams.
Create and manage cloud-native platform components on Azure, AKS, Kubernetes, Docker, and container registries.
Standardize CI/CD pipeline templates using Azure DevOps for build, test, security scanning, deployment, and release automation.
Implement Infrastructure as Code using Terraform, Helm, Ansible, or similar tools to provision and manage consistent environments.
Enable GitOps and configuration-driven deployment practices for repeatable, auditable, and scalable platform operations.
Build self-service capabilities for developers, including environment provisioning, deployment templates, monitoring dashboards, and operational runbooks.
Improve platform reliability through observability, logging, metrics, alerting, SLOs, incident analysis, and continuous operational improvements.
Integrate platform security controls including secrets management, container security, dependency scanning, image scanning, and policy enforcement.
Support DevSecOps practices by integrating tools such as SonarCloud, Black Duck, MetaDefender, or equivalent security and quality gates into delivery pipelines.
Implement authentication, authorization, API gateway, ingress, service mesh, and secure connectivity patterns for platform services.
Partner with application teams to troubleshoot deployment, performance, networking, availability, and operational issues.
Define platform standards, reusable architecture patterns, documentation, and best practices to improve developer productivity and governance.
Evaluate and introduce automation, AI-assisted development, and platform engineering improvements that reduce manual effort and accelerate delivery.

Your background

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Minimum 7+ years of experience in DevOps, cloud engineering, platform engineering, infrastructure automation, or cloud-native application delivery.
Strong hands-on experience with Azure, AKS, Kubernetes, Docker, Helm, container registries, and cloud-native deployment patterns.
Strong experience in Azure DevOps pipeline design, YAML pipelines, release automation, branching strategies, and reusable pipeline templates.
Hands-on experience with Infrastructure as Code using Terraform, Ansible, Helm, ARM/Bicep, or equivalent tools.
Good understanding of platform engineering concepts such as developer portals, golden paths, self-service automation, reusable templates, and paved-road standards.
Experience with GitOps tools and practices such as Argo CD, Flux, or equivalent configuration-driven deployment approaches.
Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, Azure Monitor, Application Insights, or similar platforms.
Good understanding of networking, ingress controllers, DNS, certificates, load balancing, API gateways, and secure service-to-service communication.
Experience with secrets management, identity, access control, OAuth, JWT, OpenID Connect, Keycloak, Azure Key Vault, or equivalent solutions.
Knowledge of DevSecOps, secure SDLC, threat modeling, vulnerability management, dependency scanning, image scanning, and compliance readiness.
Experience supporting event-driven or distributed systems using Kafka, RabbitMQ, background jobs, or similar integration patterns is an advantage.
Good understanding of application architecture, microservices, REST APIs, .NET Core, Angular, or full stack development concepts is an advantage.
Strong analytical, troubleshooting, automation, and problem-solving skills with the ability to resolve complex platform and production issues.
Strong communication, collaboration, ownership, documentation, and stakeholder management skills.
Ability to work independently, guide engineering teams, and drive adoption of platform standards and best practices.
Proficiency in English, both speaking and writing.
Experience with AI-assisted development tools such as GitHub Copilot is an advantage.

R&D DevOps Engineer – GPQSS Digital- IDC