
AI DevOps Engineer
6 days ago
Join DIRO: Pioneers in Deep Tech Innovation is hiring an AI-DevOps Engineer
Company Overview:
DIRO is a trailblazing deep tech startup from the U.S., globally acclaimed with top-tier awards. We're the #1 bank account verification platform, trusted by Fortune 500 brands, banks, and governments. Our bold mission? Build a new trust layer for the Internet by sourcing data straight from any website worldwide with user consent. We verify data from 44,000 banks, 9,000 utility providers, and 700 government sources across 195 countries in real-time. Learn more at
Our Mission:
To provide the original source of truth from any global source, backed by DIRO's innovation.
Position: AI DevOps Engineer
Location: 66, Upper-Ground Floor, Okhla Industrial Estate, Phase - III, New Delhi
Why Choose DIRO?
- Innovative Environment: Be at the cutting edge of infrastructure innovation, supporting the core of our state-of-the-art solutions.
- Diverse and Inclusive Culture: We value diverse perspectives and encourage you to bring your unique technical expertise to the table.
- Professional Growth: Thrive in a dynamic startup atmosphere where your personal and professional growth is a priority.
- Advanced Technology: Work with our patented technology that specializes in verifying original documents for identity verification and KYC/AML compliance.
- Global Reach: Collaborate with stakeholders worldwide and contribute to our global vision.
About the Role:
As an AI-DevOps Engineer at DIRO, you will play a key role in enhancing our operational efficiency and ensuring the reliability of our services. You will work closely with developers, system operators, and IT teams to manage code releases and maintain a secure, scalable infrastructure. The role also involves leveraging AI tools and integrating intelligent automation solutions to optimize DevOps workflows, infrastructure provisioning, and system monitoring.
Key Responsibilities:
- Write Terraform scripts using AI tools
- Implement and manage cloud infrastructure on AWS and GCP, utilizing services such as EC2, S3, VPC, Cloud Run and GKE.
- Design and manage networking solutions, including DNS, VPNs, load balancers, and firewalls.
- Deploy and maintain containerized applications using Docker and Kubernetes.
- Utilize Infrastructure as Code (IaC) tools like Terraform or CloudFormation for automated provisioning.
- Build and maintain CI/CD pipelines with automation tools like Github Actions.
- Develop scripts using Python for task automation and system management.
- Monitor and optimize system performance using tools like Prometheus, Grafana, CloudWatch, New Relic, ELK Stack.
- Proactively troubleshoot and resolve infrastructure issues to maintain high service availability.
- Collaborate effectively with cross-functional teams to drive infrastructure improvements.
Qualifications:
- Hands-on experience in writing Terraform scripts integrated with AI-driven infrastructure tools such as Cursor AI or similar platforms.
- Proficient in using AI-enhanced DevOps tools and platforms for code generation, infrastructure automation, or pipeline optimization
- Proven experience with cloud platforms (AWS, GCP) and associated services.
- Deep understanding of networking principles and security best practices.
- Expertise in containerization and orchestration (Docker, Kubernetes).
- Hands-on experience with IaC tools (Terraform, CloudFormation).
- Proficiency in CI/CD tools like GitHub Actions and scripting languages like Python.
- Strong problem-solving skills with a proactive and analytical approach.
- Proficient with security in tools like Scrut
- Expertise in managing security & CI/CD pipeline using Code ac/SonarQube
Perks & Benefits:
- Access to continuous learning opportunities and the latest DevOps practices.
- Flexible Time Off (FTO) to support work-life balance.
- Health Insurance
- Complimentary meals provided.
Ready to shape the future of infrastructure with us? Apply now and be part of DIRO's innovative journey
Job Types: Full-time, Permanent
Pay: ₹600, ₹1,200,000.00 per year
Experience:
- total work: 3 years (Preferred)
- DevOps: 3 years (Preferred)
- AI: 1 year (Preferred)
Work Location: In person
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