Optimove is the Science-First Relationship Marketing Hub, used by over 350 customer-centric businesses to drive measurable growth by scaling customer engagement. We’re obsessed with what drives customer behavior and strive to provide our clients the solution to foster long-lasting customer relationships. The Optimove family is 220 strong, spread over three locations: New York, London, and Tel Aviv.
Two-thirds of our managers were promoted from within. If you’re looking to develop your career, get acknowledged for your efforts, and work with dedicated people who love what they do, you’ve come to the right place.
We are looking for a DevOps Engineer. This role provides an exceptional career growth opportunity as you will be a key person in reshaping Optimove hybrid cloud platform into a fully cloud native solution. This is while working closely with the engineering and data science lab groups designing the right infrastructure solutions, automating and scaling the development, release, deployment and monitoring processes.
· Designing and building the DevOps aspects of multiregional, scaled, redundant hybrid cloud and cloud native solutions including the release process from development to production.
· Creating scalable cloud and hybrid CI/CD pipelines for various products.
· Aligning with industry and vendors’ best-practices.
· Working with a large product base consisting of multiple product lines and complex interdependencies.
· End-to-end responsibility for various services, infrastructure, and automations.
· Collaborating with various Engineering departments and leaders to set the vision, design, and build high-quality products and DevOps methodologies.
· At least 3 years of hands-on experience in DevOps.
· BSc in Computer Science or an equivalent degree.
· Strong understanding of CI/CD processes and pipelines, including designing, versioning, artifacts management, tools selection and implementation using tools such as Jenkins, Azure DevOps, Circle CI, GitLab, BitBucket and Artifactory.
· Advanced expertise with Linux and Windows Server OSs.
· Experience with programming\scripting languages, such as Python.
· Hands-on experience developing Docker containers, using Helm and managing Kubernetes infrastructure.
· Working with public cloud providers and services [YM1] and leveraging them programmatically.
· Working with monitoring tools.
· Deep knowledge in TCP/IP, HTTP and Web Protocols.
· Security oriented and production experience.
· Advance experience working for SaaS product companies, understanding SaaS based architecture and common integrations. [YM1]We are saying in the ‘Desired’ section that experience with GCP is highly sought after.
· Experience with data intensive solutions.
· Experience with databases such as SQL, Mongo DB and BigQuery.
· Experience with GCP environment lifecycle (CI/CD for infrastructure), Experience with Terraform would be a big advantage.
· Experience with GCP services such as GCE, GKE, GCS, Pub/Sub, Dataflow, Composer, etc.
· Experience with Datadog.
· Experience with managing on-premises infrastructure and designing automations for such an environment.
· Experience with .Net Framework and IIS web server.