Lead DevOps Engineer

At Accellor, a DevOps Engineer designs, builds, and maintains scalable cloud-native infrastructure (AWS, GCP, or Azure) using Infrastructure as Code (IaC) and automation. They streamline software and data delivery by managing CI/CD pipelines, optimizing cloud costs, and ensuring robust security and observability.

Responsibilities:

·        Infrastructure as Code (IaC): Build and manage cloud foundation platforms using tools like Terraform, AWS CDK, or CloudFormation.

·        Pipeline Automation: Design, implement, and maintain CI/CD pipelines in Azure DevOps or similar platforms to automate deployments.

·        Cloud Operations & Cost Optimization: Configure cloud services (IAM, VPC, EC2, Kubernetes) and optimize resource usage for cost efficiency and scalability.

·        Security & Compliance: Enforce security best practices, including IAM policies, least privilege access, data encryption, and compliance monitoring.

·        Monitoring & Support: Develop robust observability, logging, and alerting frameworks using tools like Datadog, Prometheus, or CloudWatch.

• Implement security best practices and integrate vulnerability scanning for source code, containers, and infrastructure within CI/CD pipelines.
• Identify, assess, and remediate security vulnerabilities and configuration issues across cloud and application environments.
• Recommend and implement cloud resource organization, subscription structure, access controls, and governance standards.
• Collaborate with development and architecture teams to design secure, scalable, and cost-effective cloud solutions.
  
  

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 8+ years of professional IT experience, with at least 5 years focused on cloud, data engineering, or DevOps.
• Cloud Platforms: Strong, demonstrable expertise in AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Scripting & Languages: Proficiency in programming languages like Python, Bash, or Go.
• DevOps Tools: Hands-on experience with Docker, Kubernetes, and Git/GitOps practices.
• Database/Data Skills: Familiarity with SQL and data lake/warehouse architectures, as EXL heavily integrates DevOps with AI-driven analytics.