Job ID: 625345.1 /1504174

- Cloud engineer (FTE)
- Rel. Exp (Years): 7 Years+
- Location: Pan India
- Duration of Contract:

Job description

Job Description: DevOps / Platform Engineer

Role Overview

We are seeking a highly experienced DevOps / Platform Engineer (15+ years) with strong expertise in cloud infrastructure, CI/CD pipelines, and platform engineering. This role focuses on managing scalable cloud environments, automating deployments, and ensuring high availability, reliability, and security of enterprise systems.

You will play a critical role in enabling effective software delivery and AI workload deployment by building robust infrastructure pipelines, monitoring systems, and automated release processes.

Core Responsibilities

Cloud Infrastructure & Platform Management

- Design, build, and manage scalable cloud infrastructure (AWS or multi-cloud)
- Ensure high availability, reliability, and performance of infrastructure
- Optimize cloud resources, cost, and system efficiency

(DevOps engineers manage and optimize cloud infrastructure for scalable and reliable systems) [interviewguy.com]

CI/CD & Deployment Pipeline Engineering

- Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment
- Enable continuous integration and delivery for faster and reliable releases
- Manage release pipelines across multiple environments

(DevOps roles primarily focus on implementing CI/CD pipelines and automating deployments) [expertia.ai]

Infrastructure Automation & IaC

- Automate infrastructure provisioning using Terraform and Infrastructure-as-Code (IaC)




- Standardize deployment processes across environments
- Reduce manual effort through automation and scripting

(Infrastructure automation using IaC tools like Terraform is a core responsibility) [evisiontec...oserve.com]

Containerization & Orchestration

- Build and manage containerized environments using Docker
- Deploy and scale applications using Kubernetes
- Support microservices and distributed architectures

(Containerization and orchestration using Docker and Kubernetes are key DevOps practices) [expertia.ai]

Monitoring, Observability & Reliability

- Implement monitoring, logging, and alerting systems
- Build observability layers using tools like Prometheus, Grafana, or ELK
- Ensure uptime, SLA compliance, and proactive issue resolution

(DevOps engineers set up monitoring and logging to ensure system performance and reliability) [evisiontec...oserve.com]

Security & Compliance

- Implement cloud security best practices (IAM, encryption, network security)
- Ensure secure deployment pipelines and infrastructure compliance
- Manage access control, secrets, and vulnerability mitigation

AI Workload Deployment & Scaling

- Support deployment and scaling of AI/ML workloads and pipelines




- Enable infrastructure for AI model training, inference, and media pipelines
- Optimize compute and storage resources for AI-driven systems

(Cloud/DevOps platforms increasingly support AI workloads and scalable infrastructure) [jobdescription.org]

Release Operations & Collaboration

- Manage release cycles, environment configurations, and deployment workflows
- Collaborate with development, QA, and operations teams
- Troubleshoot and resolve infrastructure and deployment issues

Required Skills & Experience

Experience

- 15+ years in DevOps, Platform Engineering, or Cloud Infrastructure
- Strong experience managing enterprise-scale deployments and production systems

Cloud & DevOps Skills

- Expertise in AWS (or similar cloud platforms)
- Strong experience with CI/CD tools (Jenkins, GitLab CI, etc.)
- Deep understanding of cloud architecture and distributed systems

Infrastructure & Automation

- Proficiency in Terraform (Infrastructure as Code)
- Experience with automation scripts (Python, Bash, etc.)
- Strong understanding of infrastructure provisioning and scaling

Containerization & Orchestration

- Hands-on experience with Docker and Kubernetes
- Experience deploying microservices-based architectures

Monitoring & Observability

- Experience with monitoring, logging, and alerting tools
- Ability to ensure system uptime, performance, and reliability

AI/Platform Awareness

- Understanding of AI workload deployment and media pipeline scaling
- Awareness of infrastructure requirements for AI/ML systems

📌 DevOps / Platform Engineer (Andhra Pradesh)
🏢 Indus Infotech
📍 Andhra Pradesh