Junior Platform Engineer

Job description:
As a Platform Engineer (Junior Executive), you will build and operate cloud-native infrastructure and AIOps solutions at TrueWatch. Working alongside senior engineers, you will take ownership of automated, scalable, and self-healing systems across AWS, Cloudflare, and Microsoft 365 environments.

You will work hands-on with Kubernetes, infrastructure as code,AI-driven observability, CI/CD automation, anomaly detection, and automated incident response. This role is ideal for early-career engineers looking to grow in DevOps, Site Reliability Engineering, artificial intelligence, and next-generation cloud infrastructure.

Responsibilities:

. Deploy, manage, and maintain containerized workloads on Amazon EKS,ensuring availability and performance.

. Implement and tune intelligent autoscaling solutions, such as KEDAand predictive horizontal pod autoscalers.

. Develop and maintain AI-driven monitoring and alerting systems thatdetect anomalies in system logs and performance metrics.

. Integrate and maintain AI-assisted code analysis, vulnerabilityscanners, and security checks in GitHub Actions or GitLab CI pipelines.

. Provision and manage infrastructure across cloud environments usingTerraform, following infrastructure-as-code best practices.

. Apply generative AI tools to generate, validate, and reviewinfrastructure code.

. Build and maintain automated runbooks and self-healing remediationscripts.

. Use LLM-based tools or agents to analyse incident reports andrecommend remediation actions, and take part in incident response andpost-incident reviews.

. Configure and operate observability tools and frameworks such asPrometheus, the ELK Stack, and OpenTelemetry.

. Collaborate with senior engineers and cross-functional teams on cloudinfrastructure, automation, reliability, and security initiatives, and documentsystems and processes.

Requirements:

. Bachelor's or Master's degree in Computer Science, ComputerEngineering, Information Security, Data Science, or a related field.

. 0-2 years of experience (including internships or substantialprojects) working with Docker and Kubernetes.

. Good understanding of time-series data, system metrics, and loganalysis.

. Hands-on experience with at least one major cloud platform, such asAWS (preferred), Microsoft Azure, or Google Cloud Platform.

. Familiarity with Terraform or other infrastructure-as-code tools, andwith CI/CD pipelines such as GitHub Actions or GitLab CI.

. Working knowledge of machine learning or deep learning concepts, suchas linear regression, clustering, or neural networks.

. Proficiency in Python or Golang.

. Experience using generative AI APIs, Model Context Protocol tools, orsimilar AI technologies to build scripts or automation tools.

. Experience with observability or monitoring frameworks such asPrometheus, ELK Stack, or OpenTelemetry.

. Strong interest in AIOps, DevOps, Site Reliability Engineering, andthe CNCF ecosystem.

. Strong analytical and problem-solving skills.

. Proactive and able to take ownership of tasks in a fast-paced,collaborative environment.