Applications Development Senior Programmer Analyst

• Infrastructure Management: Design, implement, and manage highly available and scalable infrastructure on leading cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
• Automation & Scripting: Develop robust automation scripts using Python and Unix shell scripting (Bash/Shell) to automate repetitive tasks, manage configurations, and orchestrate complex workflows.
• CI/CD Pipeline Management: Design, build, and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps, ensuring rapid and reliable software delivery.
• Containerization & Orchestration: Implement and manage containerization technologies, primarily Docker and orchestration systems like Kubernetes (K8s), to ensure consistent environments from development to production.
• Configuration Management & IaC: Utilize Infrastructure as Code (IaC) principles with tools such as Terraform or Ansible for automated provisioning and configuration management.
• Monitoring & Observability: Implement comprehensive monitoring and logging solutions using tools like Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), or Datadog to proactively identify and resolve issues.
• AI Integration: Explore and integrate AI/ML tools and practices (AIOps) to enhance operational efficiency, including predictive analytics for system health, intelligent alerting, and automated incident response.
• Collaboration & Support: Collaborate closely with development, QA, and security teams to ensure smooth operations, troubleshoot production issues, and promote a culture of shared ownership.
• Security: Implement security best practices within the DevOps lifecycle (DevSecOps), including vulnerability scanning and access management.

• Proven experience as a DevOps Engineer, Site Reliability Engineer (SRE), or similar role.
• Strong proficiency in Python and Unix/Linux environments, including advanced shell scripting.
• Extensive experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
• Expertise in Docker and Kubernetes orchestration.
• Hands-on experience with CI/CD tools (Jenkins, GitLab CI/CD, GitHub Actions, etc.).
• Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Familiarity with monitoring and logging tools (Prometheus, Grafana, etc.).
• Understanding of networking principles, protocols, and security best practices.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications:

• Experience integrating AI/ML tools or AIOps practices into operational workflows.
• Relevant certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA)).

Education:

• Bachelor's degree/University degree or equivalent experience