Senior DevOps Engineer needed at Analytics Intelligence [AI]

Key Responsibilities: 

• Set up and maintain scalable infrastructure in the cloud to serve our clients. 
• Set up and maintain various environments, including development, staging, and production, to ensure software meets quality metrics before being shipped to production. 
• Design and build RESTful APIs and/or GraphQL services using Node.js, Python, Java, Ruby, or other back-end technologies. 
• Develop server-side logic, manage databases, and integrate third-party services. 
• Ensure the security and scalability of the application. 
• Design, implement, and maintain relational databases (e.g., MySQL, PostgreSQL) or NoSQL databases (e.g., MongoDB, Cassandra). 
• Optimize queries and ensure database performance and security. 
• Implement and manage continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab CI, CircleCI, or Travis CI. 
• Automate testing, deployment, and monitoring processes to streamline software development. 
• Use tools like Terraform, Ansible, or AWS CloudFormation to define and deploy infrastructure. 
• Manage cloud environments (AWS, Azure, GCP) with a focus on cost optimization, performance, and security. 
• Develop and maintain containerized applications using Docker. 
• Implement container orchestration tools like Kubernetes for scaling and managing services. 
• Set up monitoring and alerting systems using tools like Prometheus, Grafana, ELK Stack, or Datadog. 
• Ensure proper logging and tracking of application performance and errors. 
• Implement security best practices for both development and operations. 
• Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA) through automated audits and vulnerability scanning. 

Qualifications: 

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience). 
• 4+ years of experience in DevOps engineering (Acceptable if a considerable part of your experience is in software development). 
• Proven experience working with cloud platforms (AWS, Azure, or GCP). 
• Experience with CI/CD tools and automation frameworks. 
• Languages: JavaScript (React, Node.js), Python, Java, Ruby, or PHP. 
• Cloud: AWS, Google Cloud, Microsoft Azure. 
• Databases: MySQL, PostgreSQL, MongoDB, Redis, Cassandra. 
• CI/CD Tools: Jenkins, GitLab CI, Travis CI, CircleCI. 
• DevOps Tools: Docker, Kubernetes, Terraform, Ansible, AWS CloudFormation. 
• Monitoring/Logging: Prometheus, Grafana, ELK Stack, Datadog. 
• Familiarity with Git version control and Git branching strategies. 
• Strong problem-solving skills with the ability to troubleshoot complex infrastructure and software issues. 
• Excellent communication and collaboration skills, especially in a cross-functional team environment.