DevOps Engineer
Department: Tech - Backend
Experience: 2-4 years
- 2020: Launched as a visual merchandising platform
- 2023: Pivoted to AI-driven automotive retail solutions
- 2024: Achieved 5× revenue growth in 15 months, aiming for 3–4× more
- Today: Driving the GenAI revolution with AI-powered sourcing, pricing, CRM, and Agentic AI for dealerships
- Studio AI Product
- Vini AI Product
- Series A Announcement on YourStory
- Series A Coverage in Economic Times
- Autocar Pro News
- Develop and Maintain CI/CD Pipelines: Design, implement, and manage CI/CD pipelines using GitOps practices.
- ECS Management: Deploy, manage, and troubleshoot ECS clusters to ensure high availability and scalability of applications.
- Cloud Infrastructure: Design, deploy, and manage cloud infrastructure on AWS, utilizing services such as ECS, EC2, S3, RDS, Lambda, and others.
- GPU deployment over ECS
- Infrastructure as Code: Implement and manage infrastructure using IaC tools like Terraform, CloudFormation, or similar.
- Monitoring and Logging: Set up and manage monitoring, logging, and alerting systems to ensure the health and performance of the infrastructure.
- Automation: Identify and automate repetitive tasks to improve efficiency and reliability.
- Security: Implement security best practices and ensure compliance with industry standards.
- Collaboration: Work closely with development, QA, and operations teams to ensure seamless integration and delivery of products.
- Experience: 3-5 years of experience in a DevOps role.
- AWS: In-depth knowledge of AWS services and solutions.
- CI/CD Tools: Experience with CI/CD tools such as Jenkins, Github CI
- GitOps Expertise: Proficient in GitOps methodologies and tools.
- Kubernetes: Strong hands-on experience with Kubernetes and container orchestration.
- Scripting and Automation: Proficient in scripting languages such as Bash, Python, or similar.
- Infrastructure as Code (IaC): Hands-on experience with IaC tools like Terraform, CloudFormation, or similar.
- Good understanding of databases - MySQL, Mongo, Redis, Elasticsearch
- Monitoring Tools: Familiarity with monitoring and logging tools like Prometheus, Grafana, ELK stack, or similar.
- Version Control: Strong understanding of version control systems, primarily Git.
- Problem-Solving: Excellent problem-solving and debugging skills.
- Collaboration: Ability to work in a fast-paced, collaborative environment.
- Education: Bachelor’s or master’s degree in computer science or a related field.
- Comprehensive Health & Life Coverage – GMC, GPA, and GTLI benefits for you and your family
- Performance-Driven Growth – Fast career progression, ownership from Day 1, and stock options for top performers
- Elevate Learning & Development – Access LinkedIn Learning, mentorship programs, and hands-on AI projects to upskill daily
- Collaborative Office Culture – Thrive in our energetic, innovation-first workplace
- Strong Culture: A supportive, transparent environment with high autonomy
- Competitive Compensation: Market-leading salary, equity, and benefits
- Dynamic Growth: Join us at a pivotal growth stage—shape our infrastructure, processes, and future
- Cutting-Edge Tech: Work with state-of-the-art AI/ML platforms and GenAI solutions
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