AWS Devops Engineer

Company: Delta Technologies

Website: Visit Website

Business Type: Small/Medium Business

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Information Technology Services

Salary Range: ₹ 21-31 Lacs PA

Job Description

About Delta InTech:

Delta InTech (Delta Technology and Management Services Pvt. Ltd.) is a global IT services and consulting company headquartered in Hyderabad, India. With over 1,000 professionals across 15+ countries, we specialize in cloud solutions, software development, and dedicated tech talent deployment. Our mission is to deliver transparent, reliable, and innovative solutions while fostering a people-first culture that empowers both clients and employees to succeed.

• Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.
• 6+ years of experience as a DevOps Engineer with a strong focus on GCP/AWS.
• Proven experience with IaC tools (Terraform highly preferred, CloudFormation, Ansible).
• Solid experience building and managing CI/CD pipelines for web applications.
• Hands-on experience with containerization technologies (Docker) and orchestration (Kubernetes/EKS, ECS).
• Proficiency in scripting languages (e.g., Python, Bash).
• Experience deploying and managing NodeJS/Python, AI Agents and React web applications in a cloud environment.
• Experience in deploying and managing Mobile Apps – iOS and Android apps into App store.
• Experience managing relational databases, specifically MySQL/PostgreeSQL.
• Strong understanding of networking concepts (VPC, subnets, routing, DNS, load balancing).
• Excellent problem-solving, analytical, and troubleshooting skills.
• Strong communication and collaboration skills, with an ability to work effectively in a team environment.
  
  

• GCP/AWS Certifications (e.g., AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect – Professional, Google Cloud Professional DevOps Engineer/Professional Cloud Architect).
• Experience directly supporting AI/ML development teams or MLOps practices.
• Familiarity with Gen AI concepts, tools, and deployment patterns (e.g., LLMs, vector databases, Lang Chain).
• Experience with Google Vertex AI or AWS SageMaker or other ML/AI platforms.
• Knowledge of serverless architectures (AWS Lambda, API Gateway, Google Cloud Run, Containers etc.).
• Experience with monitoring and observability tools like Prometheus, Grafana, Datadog, or ELK Stack.
• Experience in creating CI/CD pipelines using Jenkins and deploying applications across multiple environments such as EC2, virtual machines, Kubernetes clusters, containers, Cloud Run, and AWS Lambda.
• Understanding of GitOps principles.