As a Lead DevOps Engineer, you’ll work to optimize and scale our AI-powered content generation, decisioning platform and the data systems that support it. You’ll be responsible for automating infrastructure, ensuring system reliability, and accelerating deployment cycles. Working closely with engineering, data, and product teams, you’ll play a crucial role in maintaining a resilient, secure, and high-performance development and application environment.
The role will be reporting to the Manager of the DaVinci Core Integrations team.
Responsibilities:
- Infrastructure Automation: Develop, and maintain the core infrastructure components of our platform, ensuring high reliability and performance
- Cloud Management: Continuously identify and resolve platform-related issues, troubleshoot performance bottlenecks, and improve system performance
- Monitoring & Incident Response: Implement monitoring, logging, and alerting solutions to maximize system availability and performance
- Security & Compliance: Enforce security best practices, automate compliance checks, and ensure infrastructure resilience
- Scalability & Performance: Implement and support scalable systems to support our AI-driven content personalization at high volume
- Collaboration: Work closely with software engineer to improve development velocity and reliability and cross functional teams to understand business and technical requirements and translate them into robust, scalable platform solutions
- Continuous learning: Stay up-to-date with industry trends and emerging technologies and evaluate their potential impact on the platform
Qualifications:
- 7+ years of experience in a DevOps, SRE, or related role
- Expertise in a Google Cloud Platform (familiarity with AWS is a plus)
- Strong understanding of Kubernetes clusters, managing and tuning K8s resources, deploying Custom Resource Definitions (CRDs) and service mesh technologies.
- Hands-on experience with Infrastructure as Code e.g. Terraform, CloudFormation, Pulumi, Helm, etc. (we use Terraform and Helm)
- Strong scripting and automation skills (Python, Bash, or similar).
- Experience with containerization (Docker, Kubernetes) and orchestration.
- Expertise in CI/CD tools and DevOps/GitOps patterns (we use GitHub Actions, ArgoCD).
- Knowledge of observability tools (Prometheus, Grafana, ELK, Datadog)
- Strong understanding of networking, security, and performance optimization.
- Experience working in fast-paced, AI-driven or data-heavy environments is a plus
Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.
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