Code17Tek
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Overview
We are looking for a skilled DevOps Engineer to design, implement, and manage modern cloud infrastructure and CI/CD pipelines for our integrated data and AI platforms. The ideal candidate will have hands-on expertise with Terraform, AWS services, and Python scripting, along with a strong focus on security best practices. Experience with tools like Harness or similar CI/CD orchestration platforms is a big plus. Responsibilities
Infrastructure as Code (IaC): Design, implement, and manage infrastructure using Terraform for reproducible and scalable deployments. CI/CD Pipelines: Build and optimize CI/CD workflows using GitHub Actions, Jenkins, or Harness to automate builds, testing, and deployments. Deploy and manage services on AWS ECS Fargate. Configure and maintain AWS Bedrock for GenAI integration. Manage OpenSearch/Elasticsearch clusters for data and search workloads. Implement secure networking, IAM roles, and monitoring solutions. Scripting & Automation: Develop automation scripts and tools in Python to streamline DevOps workflows. Observability: Set up logging, metrics, and monitoring dashboards (CloudWatch, Dynatrace, or similar) for system reliability. Security & Compliance: Enforce IAM policies, secrets management, and vulnerability scanning. Ensure compliance with AWS and industry security standards. Collaboration: Work closely with development, data, and AI teams to enable continuous delivery and platform scalability. Qualifications
3–6 years of DevOps/Cloud Engineering experience. Strong expertise in Terraform and IaC principles. Hands-on experience with AWS (ECS Fargate, IAM, VPC, CloudWatch, S3, Bedrock). Working knowledge of OpenSearch/Elasticsearch. Solid experience in CI/CD pipeline design (GitHub Actions, Jenkins, Harness, or similar). Proficiency in Python for automation and tooling. Good understanding of cloud security practices (IAM, least privilege, container scanning, vulnerability remediation). Familiarity with GenAI integration on cloud platforms is a plus. What We Offer
Opportunity to build and scale cloud-native data and AI platforms. Exposure to cutting-edge technologies (AWS Bedrock, GenAI, OpenSearch). Competitive compensation and growth opportunities. Collaborative and innovative engineering environment. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
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We are looking for a skilled DevOps Engineer to design, implement, and manage modern cloud infrastructure and CI/CD pipelines for our integrated data and AI platforms. The ideal candidate will have hands-on expertise with Terraform, AWS services, and Python scripting, along with a strong focus on security best practices. Experience with tools like Harness or similar CI/CD orchestration platforms is a big plus. Responsibilities
Infrastructure as Code (IaC): Design, implement, and manage infrastructure using Terraform for reproducible and scalable deployments. CI/CD Pipelines: Build and optimize CI/CD workflows using GitHub Actions, Jenkins, or Harness to automate builds, testing, and deployments. Deploy and manage services on AWS ECS Fargate. Configure and maintain AWS Bedrock for GenAI integration. Manage OpenSearch/Elasticsearch clusters for data and search workloads. Implement secure networking, IAM roles, and monitoring solutions. Scripting & Automation: Develop automation scripts and tools in Python to streamline DevOps workflows. Observability: Set up logging, metrics, and monitoring dashboards (CloudWatch, Dynatrace, or similar) for system reliability. Security & Compliance: Enforce IAM policies, secrets management, and vulnerability scanning. Ensure compliance with AWS and industry security standards. Collaboration: Work closely with development, data, and AI teams to enable continuous delivery and platform scalability. Qualifications
3–6 years of DevOps/Cloud Engineering experience. Strong expertise in Terraform and IaC principles. Hands-on experience with AWS (ECS Fargate, IAM, VPC, CloudWatch, S3, Bedrock). Working knowledge of OpenSearch/Elasticsearch. Solid experience in CI/CD pipeline design (GitHub Actions, Jenkins, Harness, or similar). Proficiency in Python for automation and tooling. Good understanding of cloud security practices (IAM, least privilege, container scanning, vulnerability remediation). Familiarity with GenAI integration on cloud platforms is a plus. What We Offer
Opportunity to build and scale cloud-native data and AI platforms. Exposure to cutting-edge technologies (AWS Bedrock, GenAI, OpenSearch). Competitive compensation and growth opportunities. Collaborative and innovative engineering environment. Seniority level
Mid-Senior level Employment type
Full-time Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr