Senior DevOps Engineer - Python, typescript, AI/ML, devops

Caring. Connecting. Growing together.

Primary Responsibilities

• Perform the DevOps Engineer and Software engineer development responsibilities
• DevOps Engineer responsibilities:
• Design, deploy, and maintain Azure infrastructure to ensure high availability and scalability of applicationsBuild and manage CI/CD pipelines using GitHub Actions to enable fast and reliable deployments
• Use Terraform to provision and manage infrastructure on Azure
• Manage and optimize Apache Kafka-based systems to ensure reliable message streaming and data processing.Monitor and improve system performance and reliability using Prometheus and Grafana
• Collaborate with developers to automate workflows and implement best practices for infrastructure-as-code (IaC)Write Python scripts for automation and tooling to enhance operational efficiency
• Senior Software Engineer responsibilities:
• Write Python, typescript code for AI/ML platform for Azure deployments
• Generic for DevOps Engineer:
• Troubleshoot and resolve system issues to minimize downtime and impact on users
• Participate in on-call rotations and incident response to ensure high service reliability
• Works with less structured, more complex issues
• Serves as a lead/mentor to others
• 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
  

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent work experience)
• 2+ years of experience in DevOps, SRE, or related roles (internships and project experience are acceptable for entry-level candidates)
• Hands-on experience with Kubernetes for deploying and managing containerized applications
• Experience with Apache Kafka for building, maintaining, and troubleshooting message-driven systems
• Experience using Prometheus and Grafana for monitoring and observability
• Basic to intermediate knowledge of Terraform for infrastructure provisioning and management
• Understanding of GitHub Actions for creating and maintaining CI/CD pipelines
• Familiarity with Azure services such as Compute Engine, Kubernetes Engine, and Cloud Storage
• Proficiency in Python for scripting, writing ML code, automation, and tooling
• Proven solid problem-solving skills and an eagerness to learn new technologies
• Proven excellent communication and teamwork skills
  

Preferred Qualifications

• Experience with debugging and optimizing distributed systems
• Experience with Golang for developing infrastructure tools or cloud-native applications
• Familiarity with other cloud providers (e.g., AWS or GCP)
• Knowledge of Helm for Kubernetes package management
• Knowledge of Java for developing and troubleshooting backend systems
• Familiarity with DataHub or similar data cataloging and metadata management platforms
• Understanding of Artificial Intelligence (AI) concepts and tools, such as building or managing machine learning pipelines, integrating AI models, or working with ML platforms like TensorFlow, PyTorch, or Vertex AI
• Proven exposure to security best practices for cloud infrastructure