DevOps Engineer

Caring. Connecting. Growing together.

Primary Responsibilities:

• Design and implement infrastructure as code using tools like Terraform. Automate repetitive tasks to improve efficiency using Python and other scripting tools
• Build, manage, and maintain CI/CD pipelines for seamless application deployments. Integrate with tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps
• Leverage AI and AIOps platforms to optimize operations, predict incidents, and reduce manual overhead.
• Implement Agentic DevOps practices to enhance automation and decision-making
• Monitor system performance and availability using monitoring tools like Prometheus, Grafana, or Datadog. Develop strategies for improving system reliability and uptime. Respond to incidents, troubleshoot issues, and conduct root cause analysis
• Deploy, manage, and scale containerized applications using Docker and Kubernetes. Implement Kubernetes cluster configurations, including monitoring, scaling, and upgrades
• Use tools like Ansible or Chef for configuration management and provisioning
• Work with tools like Consul for service discovery and dynamic configuration. Manage network configurations, DNS, and load balancers
• Use tools like Packer to automate the creation of machine images. Ensure standardized environments across development, testing, and production
• Manage and deploy cloud infrastructure on AWS, Azure, or Google Cloud. Optimize cloud resources to ensure cost-efficiency and scalability
• Collaborate with development and QA teams to ensure smooth software delivery. Provide mentorship to junior team members on best practices and technologies
• Lead system implementation projects, ensuring that new systems are integrated seamlessly into existing infrastructure
• Consult with clients and stakeholders to understand their needs and provide expert advice on system integration and implementation strategies
• Develop and execute integration plans, ensuring that all components work together effectively
• Provide training and support to clients and internal teams on new systems and technologies
• Stay updated with the latest industry trends and technologies to provide cutting-edge solutions
• Participate in rotational shifts to provide 24/7 support for critical systems and infrastructure and promptly addressing any issues that arise
• 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 regard 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

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
• 5+ years of experience in a DevOps role or similar
• Experience with distributed systems and microservices architecture
• Programming Languages: Proficiency in Python and experience with other scripting languages (e.g., Bash)
• Cloud Platforms: Familiarity with AWS, Azure, or GCP services. Proven experience implementing Public Cloud Services using Terraform within Terraform Enterprise or HCP Terraform
• Familiarity with AI/ML concepts relevant to DevOps (predictive analytics, anomaly detection)
• Knowledge of Agentic AI frameworks for automation workflows
• Infrastructure as Code: Proficiency in tools like Terraform and Ansible. Proven experience in authoring Terraform and shared Terraform Modules
• DevOps Tools: Solid experience with tools like Terraform, Kubernetes, Docker, Packer, and Consul
• CI/CD Pipelines: Hands-on experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.)
• Monitoring & Logging: Knowledge of monitoring tools (e.g., Prometheus, Grafana, Datadog) and logging tools (e.g., ELK Stack)
• Version Control: Experience with Git and branching strategies
• System Implementation & Integration: Proven experience in system implementation and integration projects
• Consulting Skills: 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