Site Reliability Engineer

At Optimove, we believe people are capable of more than a single job description. You’re not hired just to fill a position- you’re empowered to shape it, grow it, and make it your own.
We call this being Positionless.
And Positionless isn’t just our culture. It’s our product.
Optimove is the creator of Positionless Marketing, an AI-powered platform that gives every marketer the power to analyze, create, launch, and optimize independently. The result is faster execution, deeper personalization, and 88% greater campaign efficiency.
Recognized as a Visionary in Gartner’s Magic Quadrant, we partner with leading brands like Sephora, Staples, and Entain. Today, more than 550 Optimovers across NYC, London, Tel Aviv, Scotland, Brazil, Estonia, and beyond are building the future of marketing together, in an environment that actively encourages ownership and growth, with two out of every three managers promoted from within.
If you’re looking for a place where you can do more, be more, come grow with us.

• System Reliability- Ensure high availability and performance of services through effective monitoring, incident management, and root cause analysis.
• Automation & Tooling- Develop and maintain automation for infrastructure provisioning, configuration management, and application deployment.
• Performance Optimization- Analyze and enhance system performance, including load balancing, caching, and database tuning. Conduct regular capacity planning.
• Incident Response & Troubleshooting- Lead incident response efforts, participate in on-call rotations, and troubleshoot complex infrastructure issues.
• Security & Compliance- Collaborate with security teams to implement best practices and ensure compliance with relevant standards (ISO 27001, SOC 2, etc.).
• Collaboration & Mentorship- Work closely with developers, DevOps, Support, and product teams to enhance application reliability and implement SRE best practices.

• 4+ years in Site Reliability Engineering, DevOps, or related roles.
• Proven experience managing large-scale, cloud-based infrastructure in GCP, AWS, or Azure.
• Expertise in container orchestration (Kubernetes, Docker) and microservices architecture.
• Strong proficiency in scripting and programming languages (Python, Go, Bash, etc.).
• Experience with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and configuration management (Ansible, Puppet, Chef).
• Hands-on experience with monitoring and observability tools (Datadog, Prometheus, Grafana, ELK Stack).
• Experience using AI tools to enhance SRE processes, such as intelligent monitoring, incident prediction, and automation of incident response.
• Deep understanding of networking concepts, DNS, load balancing, and distributed systems.
• Strong problem-solving skills, excellent communication, and a proactive mindset.

• Certifications- AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Kubernetes certifications (CKA, CKAD).