Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and understand. Coactive solves this by bringing structure to unstructured data. Rather than spending months (or years) building complex infrastructure, data teams can unlock the value of their visual data in minutes to power use cases such as content understanding and moderation, search, and analytics.
Coactive was founded by experts who shaped the fields of high-performance deep learning and data-centric AI. We have the scars from building and working with the first generation of modern machine learning systems at Google, Meta (formerly Facebook), Pinterest, eBay, Lyft, and other leading organizations. Through our decades of experience, we have developed a playbook to democratize the toughest parts of machine learning systems; no PhD required.
Join us as a DevOps Engineer, where your strategic prowess will be pivotal in crafting and delivering sophisticated, production-grade cloud infrastructure. Your core objective is to bolster our data-intensive AI services, ensuring they are not only scalable and secure but also meticulously aligned with industry best practices. At the forefront of your responsibilities is the commitment to fortify our engineering team by establishing a resilient infrastructure that fosters observability and expedites development for both emerging and established services. As a key orchestrator behind the scenes, you will drive a culture of innovation, guaranteeing our systems not only meet current demands but stand ready to adapt to changing requirements and increased demand.
Responsibilities
- Combine your knowledge of software and systems to engineer and ensure that Coactive’s system is reliable, scalable and efficient.
- Continuously optimize and automate infrastructure provisioning and deployment processes.
- Maintain and implement monitoring, logging and alerting solutions for our infrastructure and applications.
- Ensure our system remains in compliance with industry standards, regulations and security best practices.
- Support engineering team by developing tools, maintaining infrastructure, and establishing guardrails for fast-paced development in data-intensive workflows.
- Collaborate closely with the engineering team and operations to troubleshoot and resolve issues.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 6+ years of experience in a DevOps engineering role.
- Proven experience in a B2B environment, previous MLOps experience a bonus.
- In-depth knowledge of cloud platforms (AWS, Azure, or Google Cloud).
- Fluent in one or more programming languages e.g. Go, Python, Java (we use Python).
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Strong understanding of CI/CD concepts and tools (Jenkins, GitLab CI, CircleCI).
- Knowledge of infrastructure automation tools (Terraform, Ansible).
- Experience with monitoring & alerting tooling (Datadog, Sentry).
Additional information: This is a hybrid position based in San Jose, California, with three days in office. The estimated annual base salary for this position is between $132,367-$170,000.
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