DevOps Developer

2 Months ago • 5 Years + • Devops • $153,000 PA - $195,000 PA

Job Summary

Job Description

Coactive is looking for an experienced DevOps developer to join the team. This role involves designing, building, and maintaining a scalable infrastructure on cloud platforms like AWS, GCP, and Azure to support microservices, data pipelines, and data lakes. Key responsibilities include optimizing CI/CD pipelines, managing real-time data flows with technologies such as Kafka, Spark, and Databricks, and implementing monitoring and logging solutions. The role also involves establishing and enforcing cloud security best practices and automating infrastructure with tools like Terraform. The DevOps developer will collaborate with ML and data engineering teams to integrate infrastructure with data models and manage databases like MongoDB, Postgres, and Redis.
Must have:
  • 5+ years of cloud infrastructure experience.
  • Practical experience with Kubernetes.
  • Expertise with data platforms like Kafka, Spark.
  • Strong Python programming skills for automation.
  • Solid understanding of networking concepts.
  • Experience with monitoring and logging tools.
  • Experience with databases like MongoDB, Postgres.
Good to have:
  • Experience with vector databases.
  • Experience with ML model deployment.
Perks:
  • Equity grants
  • 100% medical, dental, & vision coverage
  • Medical, dental, & vision partially covered for dependents
  • Unlimited PTO
  • Social events.

Job Details

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. 

Coactive facilite la recherche, le filtrage et l'analyse du contenu visuel. De plus en plus, les données d’image et vidéo se retrouvent dans le contenu que nous regardons, les produits que nous achetons et le travail que nous faisons, et représentent déjà 80 % du trafic Internet. Mais au lieu d'être un atout, le contenu visuel est souvent une taxe, voire un handicap, parce qu'il est difficile à utiliser et à comprendre. Coactive résout ce problème en apportant une structure aux données non structurées. Plutôt que de passer des mois (ou des années) à mettre en place une infrastructure complexe, les équipes chargées des données peuvent obtenir la valeur de leurs données visuelles en quelques minutes afin d'alimenter des cas d'utilisation tels que la compréhension et la modération du contenu, la recherche et l'analyse.

Coactive a été fondée par des experts qui ont façonné les domaines de l'apprentissage profond à haute performance et de l'IA centrée sur les données. Nous avons des connaissances datant de nos expériences à construire et travailler avec la première génération de systèmes modernes d'apprentissage automatique chez Google, Meta (anciennement Facebook), Pinterest, eBay, Lyft et d'autres organisations de premier plan. Grâce à nos décennies d'expérience, nous avons développé un playbook pour démocratiser les parties les plus difficiles des systèmes d'apprentissage automatique ; aucun doctorat n'est requis.

Nous recherchons une développeuse/développeur DevOps expérimenté pour rejoindre notre équipe dynamique. Cette personne sera responsable de la construction et de la maintenance d'une infrastructure évolutive pour soutenir les microservices, les pipelines de données et les lacs de données, en mettant fortement l'accent sur les plateformes cloud et les flux de travail en temps réel.


Ce que vous ferez:

  • Concevoir, construire et maintenir une infrastructure hautement évolutive et fiable sur des plateformes cloud telles que AWS, GCP et Azure.
  • Développer et optimiser les pipelines CI/CD afin de rationaliser les processus de déploiement pour les microservices et les pipelines de données.
  • Gérer et améliorer les flux de données en temps réel en utilisant des technologies telles que Kafka, Spark et Databricks.
  • Mettre en œuvre des solutions robustes de surveillance et de journalisation pour assurer la santé et la performance du système à l'aide d'outils tels que Datadog.
  • Établir et appliquer les meilleures pratiques en matière de sécurité du cloud pour garantir l'intégrité et la sécurité des données et des applications.
  • Automatiser l'infrastructure à l'aide d'outils tels que Terraform et orchestrer les charges de travail avec Kubernetes et les technologies connexes.
  • Collaborer avec les équipes de ML et d'ingénierie des données pour créer une intégration transparente entre l'infrastructure et les modèles de données.
  • Assurer une configuration efficace du réseau et gérer des bases de données telles que MongoDB, Postgres et Redis.

 

Ce que nous recherchons:

  • 5+ ans Vaste expérience de l'infrastructure cloud, en particulier avec AWS, et connaissance de GCP et Azure.
  • Expertise pratique de Kubernetes, y compris le déploiement, la mise à l'échelle et la gestion, ainsi que des outils connexes tels que Envoy et Keda.
  • Maîtrise des plateformes et outils de données, notamment Kafka, Spark et Databricks.
  • Solides compétences en programmation Python pour l'automatisation et la gestion de l'infrastructure.
  • Solide compréhension des concepts de réseau et expérience de la mise en place et de la gestion de l'infrastructure réseau.
  • Expérience avec des outils de surveillance et de journalisation, tels que Datadog, pour assurer l'observabilité et la fiabilité du système.
  • Expérience avérée avec des bases de données telles que MongoDB, Postgres et Redis.
  • Capacité à travailler de manière indépendante dans un environnement de startup au rythme rapide et à résoudre des problèmes complexes avec un minimum de conseils.

 

Qualifications préférées :

  • Expérience des bases de données vectorielles et de leur intégration dans les flux de données.
  • Expérience préalable de collaboration avec des équipes de ML pour déployer et optimiser des modèles d'apprentissage automatique en production.
  • Familiarité avec les environnements de startups au rythme rapide et capacité d'adaptation à l'évolution des besoins.


Ce que vous pouvez attendre de nous:

This is a hybrid position based in Montreal, Quebec. (three days a week in office)

The estimated annual base salary for this position is between *$153,000 - $195,000* CAD.

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.

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