Junior Platform Engineer

About the company

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.

Your tasks

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.

• 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.