DevOps Engineer

Movable Ink is a software company that provides marketers with technology and expert services to create unique customer experiences.
Job Description
As a 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.
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:
- 3+ years of experience in a DevOps, SRE, or related role
- Proficiency with cloud platforms and related services (we use GCP)
- Hands-on experience with Infrastructure as Code e.g. Terraform, CloudFormation, Pulumi (we use Terraform)
- 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
As a 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.
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:
- 3+ years of experience in a DevOps, SRE, or related role
- Proficiency with cloud platforms and related services (we use GCP)
- Hands-on experience with Infrastructure as Code e.g. Terraform, CloudFormation, Pulumi (we use Terraform)
- 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