DevOps Engineer

Location: Bengaluru, India

Department: Engineering.

Experience: 2 to 4 years

• Design, implement, and manage CI/CD pipelines using tools like ArgoCD, GitHub Actions, or equivalent platforms.
• Automate infrastructure deployment and management across AWS, Azure, and GCP using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Manage containerisation technologies including Docker and Kubernetes for scalable, production-grade application deployments.
• Configure and maintain monitoring and observability stacks using tools such as NewRelic, Prometheus, and Grafana to ensure system health and performance.
• Perform API load testing using k6, JMeter, or Postman to validate service reliability and throughput.
• Manage IAM permissions and enforce robust security configurations across cloud resources.
• Oversee cloud networking including DNS, VPN configurations, and related network infrastructure.
• Collaborate with development teams on seamless service integration and delivery, including API interactions with LLM platforms such as OpenAI, AWS Bedrock, and custom-hosted models.
• Provide operational support for relational (MySQL, PostgreSQL) and NoSQL (MongoDB) databases.
• Work with data streaming and analytics platforms such as Kafka, Apache Superset, and Amazon Redshift to support data-driven applications.

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 1 to 4 years of professional experience in a DevOps, Site Reliability, or Infrastructure Engineering role.
• Proficiency with Linux operating systems and scripting languages such as Bash and Python.
• Strong understanding of DevOps principles and CI/CD pipeline design and automation.
• Hands-on experience with at least one major cloud platform — AWS, GCP, or Azure.
• Practical experience with Docker and Kubernetes for container orchestration.
• Working knowledge of monitoring tools such as Prometheus, Grafana, NewRelic, or similar.
• Familiarity with API load testing using k6, JMeter, or Postman.
• Understanding of cloud networking fundamentals including DNS, VPN, firewalls, and security groups.
• Experience with IAM configurations and cloud security best practices.

• Hands-on experience deploying and managing workloads on Kubernetes in production environments.
• Familiarity with data management platforms such as Kafka, Superset, or Redshift.
• Experience integrating or operating APIs for LLM models (OpenAI, Bedrock, or custom-hosted models).
• Exposure to database administration for MySQL, PostgreSQL, or MongoDB.
• Ability to thrive in a fast-paced, collaborative, cross-functional team environment.

• Medical Insurance & Accidental Insurance
• Maternity & Paternity Benefits
• PF, Gratuity, & Leave Encashment
• Salary Advance Policy