DevOps Engineer

About DaVinci Commerce:

DaVinci Commerce is the industry’s first AI-native platform for commerce media campaign personalization. It unites creative, audience, and media in one workflow - enabling brands, retailers, and CMNs to launch personalized, retailer-compliant campaigns in under five minutes. By combining generative and agentic AI, DaVinci Commerce automates creative production, and drives a measurable increase in sales across AI shopping agents, onsite, offsite, social, video/CTV, and in-store commerce media channels. Trusted by Nestlé, Procter & Gamble, Unilever, Giant Eagle, Stop & Shop, and SimpliSafe, DaVinci Commerce delivers speed, scale, and precision personalization to make commerce media a sales growth engine. For more information, visit davincicommerce.ai

Job Description

We are looking for a skilled DevOps Engineer to design, implement, and maintain scalable infrastructure and CI/CD pipelines. The ideal candidate will work closely with development and operations teams to improve deployment processes, ensure system reliability, and optimize cloud infrastructure.

You will play a key role in automating workflows, managing cloud resources, and ensuring high availability of applications.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines
• Manage and provision infrastructure using Infrastructure as Code (IaC) tools like Terraform
• Deploy, manage, and scale applications using Kubernetes
• Work with AWS services (EC2, S3, IAM, VPC, EKS, etc.)
• Automate tasks using Python or shell scripting
• Monitor systems and ensure reliability, availability, and performance
• Troubleshoot production issues and perform root cause analysis
• Implement security best practices in infrastructure and deployments
• Collaborate with developers to streamline release processes
• Maintain documentation for infrastructure and processes

Job Requirements

Must-Have Skills

• 2–5 years of experience in DevOps / Cloud / SRE roles
• Strong hands-on experience with:
• Terraform (modules, state management, remote backends)
• Kubernetes (deployments, services, STS , troubleshooting)
• AWS (core services and architecture)
• Linux (system administration, networking basics)
• Python or Bash scripting
• Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI)
• Understanding of containerization (Docker)
• Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, Datadog etc.)

Good-to-Have

• Experience with Helm charts
• Knowledge of security best practices (IAM roles, secrets management)
• Exposure to multi-cloud environments
• Experience with Infrastructure monitoring and alerting
• Understanding of networking concepts (DNS, load balancing, firewalls)
• Experience with Advertising platform

Behavioral Expectations

• Strong problem-solving skills
• Ability to work independently and in teams
• Good communication skills
• Ownership mindset for production systems
• You are willing to “carry the pager” but strive to build a system reliable enough that you don’t get paged.
• Imagine, architect, develop, deploy, and evolve our Cloud infra and CI/ CD systems for the next disruptive data analytics platform.