Site Reliability Engineer

• Design and implement robust infrastructure solutions using AWS, GCP, and Azure.
• Develop and maintain applications using Python and FastAPI to ensure high performance and responsiveness.
• Manage container orchestration with Docker and Kubernetes to facilitate seamless deployment and scaling.
• Monitor system performance and reliability using tools like Prometheus and Grafana, ensuring optimal uptime.
• Collaborate with cross-functional teams to integrate and call various LLM APIs in the OpenAI format.
• Establish CI/CD pipelines to automate deployment processes and enhance development efficiency.

• 3-8 years of experience in Site Reliability Engineering, DevOps, or related fields.
• Proficient in Python, with experience in C/C++ or Rust as a plus.
• Strong understanding of containerization and orchestration technologies, particularly Kubernetes.
• Experience with database management, specifically Redis and PostgreSQL.
• Familiarity with monitoring and logging tools such as Prometheus and Grafana.

Preferred

• Experience working with AI technologies and APIs, particularly in the context of large language models.
• Knowledge of software development best practices and agile methodologies.
• Previous involvement in early-stage startups or small teams, demonstrating adaptability and initiative.

The salary range for this role is $150K-$250K, complemented by competitive equity options. Join a passionate team dedicated to innovation and growth in the tech landscape.

We're representing a dynamic startup in the Devtools and AI space that is focused on building innovative solutions for software development. This company is dedicated to enhancing developer experiences and streamlining workflows through cutting-edge technology. With a small, agile team, they are poised to make a significant impact in the industry., © 2026 Careerjet All rights reserved