Lead AWS DevOps Engineer
Research InnovationsFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates must have at least 3 years of DevOps or infrastructure engineering experience, preferably at a high-growth startup. Strong AWS experience with services like EC2, ECS, RDS, Lambda, and IAM is required, along with proficiency in scripting languages such as Python and infrastructure-as-code tools like Terraform. Experience with CI/CD systems like GitHub Actions and strong software engineering fundamentals are also necessary. The ability to thrive in a fast-paced environment and take ownership of initiatives is essential.
The Senior DevOps Engineer will build, maintain, and improve infrastructure using AWS and modern DevOps practices. They will design and implement monitoring, alerting, and incident response systems to ensure high availability. Responsibilities also include automating deployment pipelines, managing CI/CD workflows, and collaborating with engineers to resolve performance, scalability, and reliability issues. Additionally, the role involves improving system security and auditability, and evaluating new tools and technologies to enhance operations.
Conversational AI solutions for businesses
EliseAI provides conversational artificial intelligence solutions tailored for businesses in the real estate and healthcare sectors. The platform automates customer interactions and operational workflows, integrating with existing systems like Property Management Systems and Customer Relationship Management systems. For real estate clients, EliseAI streamlines the leasing process with tools for automated tour scheduling and virtual tour management, allowing potential renters to receive responses and schedule appointments 24/7. In healthcare, EliseAI acts as an AI assistant to manage patient inquiries and appointment scheduling, enhancing efficiency in medical facilities. The company operates on a Software-as-a-Service model, charging subscription fees based on service levels and customization. EliseAI's goal is to improve operational efficiency and customer satisfaction by automating routine tasks and providing valuable insights through analytics.