We are a venture-backed AI startup revolutionizing the sales technology landscape. Our mission is to build a next-generation Cognitive Sales AI platform that leverages cutting-edge semantic AI systems to transform how sales professionals work. While others are just beginning to grasp the potential of AI in sales, we're already building the future.

As a growing startup, we offer:

Competitive compensation for interns
Hands-on experience with cutting-edge AI technology
A dynamic, fast-paced learning environment
Collaborative culture that values both hard work and team success

Job summary:

We are seeking a motivated and skilled DevOps Intern to join our dynamic AI engineering team. The ideal candidate will play a key role in supporting and enhancing our infrastructure, deployment pipelines, and cloud environments. You will work closely with the engineering team to develop automation, optimize system performance, and implement best practices for scaling and managing cloud infrastructure. This role requires a strong understanding of DevOps principles, hands-on experience with AWS, and a process-oriented mindset to ensure efficient and secure operations.

Key Responsibilities

Design, build, maintain, and optimize CI/CD pipelines and version control systems
Manage, monitor, and optimize AWS cloud environments to ensure high availability, scalability, and cost efficiency
Collaborate with developers and operations teams to troubleshoot deployment issues
Participate in containerization and orchestration tasks using Docker
Develop and maintain scripts for automation of infrastructure provisioning, configuration, and deployment tasks
Document processes, workflows, and best practices to ensure knowledge sharing and team alignment
Monitor system health and assist with troubleshooting issues in staging and production environments
Apply and maintain security best practices, scalability solutions, and cost optimization strategies

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, or related field
Strong understanding of Linux systems and administration
Proficiency in scripting languages (Python, Bash, or similar)
Experience with AWS services including:
EC2, ECS, S3, CloudWatch
EBS, VPC, ClientVPN, ECR
Load balancers, Auto Scaling
Route 53, Lambda, EventBridge
SNS, IAM, WAF, NACL
Working knowledge of security groups and networking concepts (subnets, routing, gateways, VPN)
Experience with CI/CD tools like Jenkins
Strong understanding of Docker and container management
Familiarity with monitoring tools (LGTM Grafana stack)
Strong communication and teamwork skills

Preferred Qualifications

AWS certification
Understanding of Security & Compliance principles

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