Senior DevOps Engineer

Job Overview: Unify is spearheading innovation in the generative AI space, focusing on enhancing customer experiences (CX) through cutting-edge technology. As we expand our horizons, we're seeking a skilled Senior DevOps Engineer to join our Platform Engineering team. This full-time role is tailor-made for a professional eager to dive deep into the complexities of scaling infrastructure, optimizing processes, and playing a pivotal role in our journey towards revolutionizing the CX domain. If you're passionate about MLOps, DevOps and Systems Engineering, and looking to grow in these areas, you're the talent we're looking for. Essential Duties and Responsibilities: • Design and Scale: Contribute to the design of scalable containerized micro-service architectures that support our generative AI technology, focusing on practical, efficient solutions. • Deploy and Manage: Utilize your expertise in Google Cloud Platform, Kubernetes, and CI/CD to deploy, manage, and scale our systems efficiently. • Automate and Optimize: Develop and maintain CI/CD pipelines using innovative tools like Argo CD and Github Actions, ensuring seamless, reliable, and robust deployment processes. • Monitor and Operate: Create scalable monitoring solutions for all of Engineering to ensure our systems are healthy. Participate in 24x7 On-Call rotation, and lead the charge in testing and debugging applications, maintaining high standards of quality and reliability. • Collaborate and Innovate: Work closely with cross-functional teams, including product managers and engineers, to craft and deliver high-quality, impactful solutions. • Code with Excellence: Write clean, efficient, and maintainable code, outwardly demonstrating best practices and coding standards to the broader Engineering team. Requirements: • Language and Communication: Fluent in English. Experience articulating complicated details in writing and verbally, to a variety of audiences. • Educational Foundation: A Bachelor's degree in Computer Science, Software Engineering, a related field, or equivalent experience. • Proven Experience: 5+ years in DevOps roles with a significant focus on cloud infrastructure. • Cloud Providers: Experience using Google Cloud Platform (GCP) technologies, such as Cloud Storage, Compute Engine, GKE, Pub/Sub, or other relevant GCP offerings. • Programming: Experience using Bash (Shell), Python, or Node.js. • Container Orchestration: Deep knowledge of Docker, and a solid understanding of Kubernetes fundamentals. • CI/CD: Experience using Github Actions, Circle CI, Jenkins, or other similar tools. Understanding of CI/CD processes in SDLC. • Preferred Qualifications: AWS / Azure • Experience with AI / ML Tools • Data workflow management tools like Airflow, Dagster, Etc