ELM DevOps Engineer
AltiumSalary not specified
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software DevelopmentIndustries
Requirements
Candidates should possess 3+ years of DevOps or infrastructure engineering experience, preferably within a high-growth startup environment. They must have strong AWS experience, including familiarity with services such as EC2, ECS, RDS, Lambda, and IAM, along with proficiency in scripting languages like Python and infrastructure-as-code tools like Terraform. Furthermore, a solid understanding of software engineering fundamentals and the ability to debug and optimize complex systems are essential, as is experience with CI/CD systems such as GitHub Actions. The ideal candidate will thrive in a fast-paced environment and demonstrate the capacity to take ownership of large initiatives from the outset.
Responsibilities
As the first DevOps Engineer at EliseAI, the individual will be responsible for building, maintaining, and improving infrastructure using AWS and modern DevOps practices. They will design and implement monitoring, alerting, and incident response systems to ensure high availability, automate deployment pipelines and manage CI/CD workflows, and collaborate with engineers to identify and resolve performance, scalability, and reliability issues. Additionally, they will improve system security and auditability across environments, and evaluate and introduce new tools and technologies to enhance operations.
Skills
AWS
EC2
ECS
RDS
Lambda
IAM
CI/CD
Monitoring
Automation
Security
Performance Optimization
EliseAI
Conversational AI solutions for businesses
About EliseAI
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.
New York City, New YorkHeadquarters
2017Year Founded
$138MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine Learning, Real Estate, HealthcareIndustries
201-500Employees