01Responsibilities
- Design and implement Infrastructure as Code (IaC) using tools like Terraform
- Automate operational tasks using Python and other scripting languages
- Leverage AI tools and AIOps to optimize operations and reduce manual overhead
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
- Implement Agentic DevOps practices to enhance automation and decision-making
- Monitor infrastructure using Prometheus, Grafana, and Datadog; lead incident response and root cause analysis
- Deploy and manage containerized applications using Docker and Kubernetes
- Use Ansible or Chef for configuration management and provisioning
- Manage cloud infrastructure across AWS, Azure, and Google Cloud, ensuring cost-efficiency and scalability
- Automate machine image creation using Packer for consistent environments
- Collaborate with development and QA teams to ensure seamless software delivery
- Mentor junior engineers and promote best practices across the team
- Lead system integration projects and consult with stakeholders to align infrastructure with business goals
- Provide training and support on new systems and technologies
- Stay current with industry trends and emerging technologies
- Adhere to company policies and demonstrate flexibility in adapting to evolving business needs
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- User
02Responsibilities
Leverage enterprise-approved AI tools to enhance productivity and innovation by streamlining workflows and automating repetitive tasks. Evaluate emerging trends to drive continuous improvement and strategic innovation
Required Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field
- Certifications in Kubernetes, Terraform, or any public cloud platform like AWS, Azure, or GCP
- 10+ years of experience in a DevOps role or similar
- CI/CD Pipelines: Hands-on experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.)
- Experience with distributed systems and microservices architecture
- Version Control: Experience with Git and branching strategies
- DevOps Tools: Solid experience with tools like Terraform, Kubernetes, Docker, Packer, and Consul
- System Implementation & Integration: Proven experience in system implementation and integration projects
- Monitoring & Logging: Knowledge of monitoring tools (e.g., Prometheus, Grafana, Datadog) and logging tools (e.g., ELK Stack)
- Cloud Platforms: Familiarity with AWS, Azure, or GCP services. Proven experience implementing Public Cloud Services using Terraform within Terraform Enterprise or HCP Terraform
- Programming Languages: Proficiency in Python and experience with other scripting languages (e.g., Bash)
- Infrastructure as Code: Proficiency in tools like Terraform and Ansible. Proven experience in authoring Terraform and shared Terraform Modules
- Consulting Skills: Proven ability to consult with clients and stakeholders to understand their needs and provide expert advice
Soft Skills:
- Solid analytical and problem-solving skills
- Proven excellent communication and collaboration abilities
- Ability to work in an agile and fast-paced environment
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