What are the responsibilities and job description for the Sr. Dev OPS Engineer - W2 Only position at Calance?
Sr. Dev OPS Engineer
Job Description:
We are seeking a highly skilled and experienced DevOps Engineer to join our dynamic team. This role is pivotal in driving our DevOps initiatives, with a strong focus on using Terraform as a cloud automation tool. The ideal candidate will possess a deep understanding of cloud infrastructure, CI/CD pipelines, and best practices in DevOps.
Key Responsibilities:
Infrastructure as Code (IaC):
Design, implement, and manage scalable infrastructure using Terraform.
Create and maintain reusable Terraform modules and templates to streamline deployment processes.
Cloud Management:
Architect, Manage and optimize cloud resources across platforms such as AWS, Azure, or Google Cloud.
Implement best practices for security, compliance, and cost management in cloud environments.
Experience with serverless architectures and microservices.
Familiarity with security practices in cloud environments.
CI/CD Pipeline Management:
Build and maintain robust CI/CD pipelines to automate the deployment of applications and infrastructure.
Collaborate with development teams to integrate automated testing and deployment strategies.
Monitoring and Optimization:
Implement monitoring, logging, and alerting solutions for cloud infrastructure.
Analyze performance metrics and make recommendations for improvements and optimization.
Mentorship:
Work with DevOps engineers, providing guidance, mentorship, and support.
Foster a culture of collaboration, continuous improvement, and innovation within the team.
Collaboration:
Work closely with developers, QA, and other stakeholders to ensure seamless integration and deployment processes.
Participate in architectural discussions and design reviews to promote best practices.
AI:
Understanding of key concepts in artificial intelligence, machine learning, and deep learning, LLM, Generative AI, Neural networks etc.,
Troubleshooting and Support:
Identify and resolve infrastructure issues in a timely manner.
Provide on call support for production systems as needed.
Skills and Qualifications:
Technical Skills:
Strong proficiency in Terraform for cloud automation and infrastructure management.
Experience with cloud platforms (AWS, Azure, Google Cloud) and their services.
Strong understanding and Implementation experience of containerization technologies (Docker, Kubernetes).
Proficient in scripting languages (Python, Bash, etc.) for automation tasks.
Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
DevOps Practices:
Solid understanding of DevOps principles and methodologies.
Experience with configuration management tools (Ansible, Puppet, Chef).
Communication and Collaboration:
Excellent interpersonal skills, with the ability to communicate effectively with technical and nontechnical stakeholders.
Proven ability to work collaboratively in a team-oriented environment.
Problem Solving:
Strong analytical skills with the ability to troubleshoot complex systems.
Ability to work in a fast-paced environment and manage multiple priorities.
Education and Experience:
Bachelor's degree in computer science, Information Technology, or a related field.
Job Description:
We are seeking a highly skilled and experienced DevOps Engineer to join our dynamic team. This role is pivotal in driving our DevOps initiatives, with a strong focus on using Terraform as a cloud automation tool. The ideal candidate will possess a deep understanding of cloud infrastructure, CI/CD pipelines, and best practices in DevOps.
Key Responsibilities:
Infrastructure as Code (IaC):
Design, implement, and manage scalable infrastructure using Terraform.
Create and maintain reusable Terraform modules and templates to streamline deployment processes.
Cloud Management:
Architect, Manage and optimize cloud resources across platforms such as AWS, Azure, or Google Cloud.
Implement best practices for security, compliance, and cost management in cloud environments.
Experience with serverless architectures and microservices.
Familiarity with security practices in cloud environments.
CI/CD Pipeline Management:
Build and maintain robust CI/CD pipelines to automate the deployment of applications and infrastructure.
Collaborate with development teams to integrate automated testing and deployment strategies.
Monitoring and Optimization:
Implement monitoring, logging, and alerting solutions for cloud infrastructure.
Analyze performance metrics and make recommendations for improvements and optimization.
Mentorship:
Work with DevOps engineers, providing guidance, mentorship, and support.
Foster a culture of collaboration, continuous improvement, and innovation within the team.
Collaboration:
Work closely with developers, QA, and other stakeholders to ensure seamless integration and deployment processes.
Participate in architectural discussions and design reviews to promote best practices.
AI:
Understanding of key concepts in artificial intelligence, machine learning, and deep learning, LLM, Generative AI, Neural networks etc.,
Troubleshooting and Support:
Identify and resolve infrastructure issues in a timely manner.
Provide on call support for production systems as needed.
Skills and Qualifications:
Technical Skills:
Strong proficiency in Terraform for cloud automation and infrastructure management.
Experience with cloud platforms (AWS, Azure, Google Cloud) and their services.
Strong understanding and Implementation experience of containerization technologies (Docker, Kubernetes).
Proficient in scripting languages (Python, Bash, etc.) for automation tasks.
Experience with CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.).
DevOps Practices:
Solid understanding of DevOps principles and methodologies.
Experience with configuration management tools (Ansible, Puppet, Chef).
Communication and Collaboration:
Excellent interpersonal skills, with the ability to communicate effectively with technical and nontechnical stakeholders.
Proven ability to work collaboratively in a team-oriented environment.
Problem Solving:
Strong analytical skills with the ability to troubleshoot complex systems.
Ability to work in a fast-paced environment and manage multiple priorities.
Education and Experience:
Bachelor's degree in computer science, Information Technology, or a related field.