DevOps Engineer

We are seeking a skilled and experienced DevOps Engineer with expertise in architecting, implementing, and managing hybrid cloud infrastructure to enable seamless deployment and scaling of high-performance applications and machine learning workloads. Proven experience in cloud services, on-premises systems, container orchestration, automation, and multi-database management.

Key Responsibilities & Experience :

- Designed, implemented, and managed scalable AWS infrastructure leveraging services such as EC2, ECS, Lambda, S3, DynamoDB, Cognito, SageMaker, Amazon ECR, SES, Route 53, VPC Peering, and Site-to-Site VPN to support secure, high-performance, and resilient cloud environments.

- Applied best practices in network security, including firewall configuration, IAM policy management.

- Architected and maintained large-scale, multi-database systems integrating PostgreSQL, MongoDB, DynamoDB, and Elasticsearch to support millions of records, low-latency search, and real-time analytics.

- Built and maintained CI/CD pipelines using GitHub Actions and Jenkins, enabling automated testing, Docker builds, and seamless deployments to production.

- Managed containerized deployments using Docker, and orchestrated services using Amazon ECS for scalable and resilient application environments.

- Implemented and maintained IaC frameworks using Terraform, AWS CloudFormation, and Ansible to ensure consistent, repeatable, and scalable infrastructure deployments.

- Developed Ansible playbooks to automate system provisioning, OS-level configurations, and application deployments across hybrid environments.

- Configured Amazon CloudWatch and Zabbix for proactive monitoring, health checks, and custom alerts to maintain system reliability and uptime.

- Administered Linux-based servers, applied system hardening techniques, and maintained OS-level and network security best practices.

- Managed SSL/TLS certificates, configured DNS records, and integrated email services using Amazon SES and SMTP tools.

- Deployed and managed infrastructure for ML workloads using AWS SageMaker, optimizing model training, hosting, and resource utilization for cost-effective performance.

Preferred Qualifications :

- 3+ years of experience in DevOps, Cloud Infrastructure

- Bachelors degree in Computer Science, Engineering

- Experience deploying and managing machine learning models

- Hands-on experience managing multi-node Elasticsearch clusters and designing scalable, high-performance search infrastructure.

- Experience designing and operating hybrid cloud architectures, integrating on-premises and cloud-based systems

Job Types: Full-time, Permanent

Pay: ₹300,000.00 - ₹1,200,000.00 per year

Benefits:

• Flexible schedule
• Paid sick time
• Paid time off

Ability to commute/relocate:

• Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Preferred)

Experience:

• DevOps: 3 years (Required)

Work Location: In person