DevOps Engineer

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 visual 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, 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.

This is an exceptional opportunity to work with one of Forbes' top 50 AI companies, backed by key investors such as Andreesen Horowitz and Bessemer Ventures. This position is truly a chance to be part of a category-defining team that is attracting top-tier talent interested in pushing the boundaries of what's possible in AI. 

We are looking for a seasoned DevOps Engineer to join our dynamic team. This individual will build and maintain scalable infrastructure to support microservices, data pipelines, and data lakes with a strong emphasis on cloud platforms and real-time workflows. 

What you’ll do:

• Design, build, and maintain highly scalable and reliable infrastructure on cloud platforms like AWS, GCP, and Azure.
• Develop and optimize CI/CD pipelines to streamline deployment processes for microservices and data pipelines.
• Manage and enhance real-time data workflows using technologies such as Kafka, Spark, and Databricks.
• Implement robust monitoring and logging solutions to ensure system health and performance using tools like Datadog.
• Establish and enforce cloud security best practices to ensure the integrity and safety of data and applications.
• Automate infrastructure using tools like Terraform and orchestrate workloads with Kubernetes and related technologies.
• Collaborate with ML and data engineering teams to create a seamless integration between infrastructure and data models.
• Ensure efficient network setup and manage databases such as MongoDB, Postgres, and Redis.

What we look for:

• 5+ years extensive experience in cloud infrastructure, particularly with AWS, and knowledge of GCP and Azure.
• Hands-on expertise in Kubernetes, including deployment, scaling, and management, as well as related tools like Envoy and Keda.
• Proficiency with data platforms and tools, including Kafka, Spark, and Databricks.
• Strong Python programming skills for automation and infrastructure management.
• Solid understanding of networking concepts and experience setting up and managing network infrastructure.
• Experience with monitoring and logging tools, such as Datadog, to ensure observability and system reliability.
• Proven experience with databases like MongoDB, Postgres, and Redis.
• Ability to work independently in a fast-paced startup environment and solve complex problems with minimal guidance.

Preferred Qualifications:

• Experience with vector databases and integrating them into data workflows.
• Previous experience collaborating with ML teams to deploy and optimize machine learning models in production.
• Familiarity with fast-paced startup environments and adaptability to evolving requirements.
• Previous experience collaborating with ML teams to deploy and optimize machine learning models in production.
• Familiarity with fast-paced startup environments and adaptability to evolving requirements.

What you can expect from us:

This is a hybrid position based in San Jose or San Francisco, CA (three days a week in office, Mondays required in San Jose for all).

The estimated annual base salary for this position is between *$166,000 - $220,000.*

At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to:

• Equity grants
• 100% medical, dental, & vision coverage for you
• Medical, dental, & vision partially covered for your dependents
• Unlimited PTO
• Social events ranging from book clubs, happy hours, and hiking to board game nights and games of Mario Kart.

Further, you can expect a supportive work environment from us. We build products, but we develop people. 

Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation and delivering unparalleled customer experiences, we'd love to have you on board.

*Actual pay is dependent on an individual candidate’s professional background, experience, skills and qualifications, as well as market demand and business demands. This pay range is subject to change and may be modified in the future. The salary, other compensation, and benefits information is accurate as of the date of this posting.

We embrace and celebrate the diversity of our employees. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.