Software Development Engineer III - DevOps Engineer

Ovii's Interpretation of the Role

We are seeking a senior DevOps engineer to design, build and operate secure, scalable AWS infrastructure and CI/CD pipelines. You will automate provisioning, drive cost‑optimization, and partner with engineering and operations to ensure high reliability for our AI‑driven cybersecurity platform.

Role Snapshot

• Design and maintain secure AWS infrastructure
• Build and own CI/CD pipelines
• Automate with Terraform, Ansible, CloudFormation
• Optimize cloud spend and performance
• Drive incident response and reliability
• Collaborate across engineering and ops teams

Must-Have Requirements

• AWS
• Terraform
• Ansible
• Docker
• Kubernetes
• CI/CD (Jenkins, GitHub Actions)
• Monitoring (Datadog, Grafana, Prometheus, New Relic)
• Bash or Python scripting
• SQL/NoSQL database knowledge
• DevOps engineering
• AWS cloud infrastructure
• Infrastructure as Code
• Bachelor's or Master's degree in Computer Science, Engineering, or related field

Nice-to-Have Signals

• Machine‑learning model deployment
• Kafka
• RabbitMQ
• Redis
• AWS Professional certification
• GCP or Azure exposure
• Kafka/RabbitMQ/Redis
• Machine Learning

Work Setup

• Location: Bengaluru, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility

What You'll Likely Work On

• Create and maintain CI/CD pipelines for reliable software delivery
• Implement and evolve DevOps tooling and automation across the stack
• Manage multi‑environment AWS infrastructure, including Dockerized microservices on ECS and Kubernetes (EKS)
• Use Terraform, Ansible and other IaC tools to reduce manual effort
• Develop strategies to control cloud costs while preserving performance
• Participate in incident response, post‑mortems and continuous reliability improvements
• Collaborate with engineering and operations to define best‑practice standards
• Drive innovation and adopt emerging best practices in architecture and tooling

Good Fit If You Have

• Experience deploying and managing machine‑learning models
• Familiarity with Kafka, RabbitMQ or Redis
• AWS Professional certification (preferred)
• Passion for cyber‑risk and security domains
• Thrives in a fast‑paced, high‑intensity environment