Remote Devops Jobs • Python

We’re seeking a detail-oriented and innovative Automation, Integration & AI Specialist to join our growing team. In this role, you’ll drive efficiency across recruiting, sales, marketing, and operations by building automations, integrating tools, and applying AI solutions. You’ll work closely with cross-functional stakeholders to deliver scalable, tech-enabled solutions.

We are looking for a seasoned Site Reliability Engineer (SRE) to join our distributed team. This is a fully remote, work-from-home opportunity. As a key member of our DevOps team, you will be responsible for designing, implementing, and maintaining mission-critical monitoring, alerting, and incident response systems. This role ensures high availability, reliability, and performance of our infrastructure, supporting scalable services in production environments.

Be part of a dynamic team that is shaping the future of energy and technology. Responsibilities include building and maintaining infrastructure for machine learning, developing REST API and gRPC applications using Python, integrating SQL and NoSQL databases, and monitoring customer usage. The candidate must have a bachelor’s degree in computer science or related field and 5 years of experience.

Seeking an experienced Azure Cloud Engineer to specialize in migrating and modernizing applications to the cloud. The ideal candidate will have deep expertise in Azure Cloud, Terraform (Enterprise), containers (Docker), Kubernetes (AKS), CI/CD with GitHub Actions, and Python scripting. Strong soft skills are essential to communicate effectively with technical and non-technical stakeholders during migration and modernization projects.

You will bring creative problem solving and a keen eye for detail. You will be responsible for designing, building, maintaining, and operating Calendly's next-generation infrastructure platform. SREs build their own tools, deploy open-source solutions, and consume cloud services as needed to extend the platform.

We are looking for a Junior MLOps Engineer to join our Data team. This role is ideal for someone with a solid foundation in programming, an interest in data science and model deployment, and a strong desire to learn and grow in a demanding and collaborative technical environment.