2. Software Development
  3. Devops

Full-Time Cloud DevOps Engineer

Collectivei is hiring a remote Full-Time Cloud DevOps Engineer. The career level for this job opening is Senior Manager and is accepting Worldwide based applicants remotely. Read complete job description before applying.

This job was posted 1 year ago and is likely no longer active. We encourage you to explore more recent opportunities on our site. However, you may still try your luck using 'Apply Now' link below. We recommend focusing on newer listings available here.

Collectivei

Job Title

Cloud DevOps Engineer

Posted

Career Level

Full-Time

Career Level

Senior Manager

Locations Accepted

Worldwide

Share

Share this on Pinterest Share this on LinkedIn Share this on Facebook Share this on X Share this on WhatsApp Share this on Telegram

Job Details

At Collective[i], we value diversity of experience, knowledge, backgrounds and people who share a commitment to building a company and community on a mission to help people be more prosperous. We recruit extraordinary individuals and provide them the platform to contribute their exceptional talents and the freedom to work from wherever they choose. Our company is a wonderful place to learn and grow alongside an incredible and tenacious team.
Collective[i] was founded by three entrepreneurs with over $1B of prior exits. Their belief in the power of Artificial Intelligence to transform life as we know it and improve economic outcomes at massive scale drove the decision to invest over $100m in the company which has created a state-of-the-art platform for prosperity that helps companies generate sales and people expand their professional connections. In the last decade, Collective[i] has grown into a powerful community of scientists, engineers, creative talent and more, working together to help people succeed in business.
We are looking for a Senior Data Engineer to join our team. We are seeking an experienced Senior Data Engineer with a strong background in AWS DevOps and data engineering to join our team. In this role, you will manage and optimize our data infrastructure, focusing on both data engineering and DevOps responsibilities. A key aspect of this role involves deploying machine learning models to AWS using SageMaker, so expertise with AWS and SageMaker is essential. Experience with Snowflake is highly desirable, as our data environment is built around Snowflake for analytics and data warehousing.
Responsibilities:
  • Design, develop, and maintain ETL pipelines to ensure reliable data flow and high-quality data for analytics and reporting.
  • Build and optimize data models, implementing best practices to handle large volumes of data efficiently in Snowflake.
  • Create and maintain complex SQL queries and transformations for data processing and analytics.
  • Conduct orchestration and scheduling through Apache Airflow.
  • Document data pipelines, architecture, and processes, maintaining clear and updated technical documentation.
  • Design, develop, and maintain ETL pipelines to ensure reliable data flow and high-quality data for analytics and reporting.
  • Build and optimize data models, implementing best practices to handle large volumes of data efficiently in Snowflake.
  • Create and maintain complex SQL queries and transformations for data processing and analytics.
  • Conduct orchestration and scheduling through Apache Airflow.
  • Document data pipelines, architecture, and processes, maintaining clear and updated technical documentation.
  • Architect, build, and maintain data science data and models infrastructure on AWS, focusing on scalability, performance, and cost-efficiency.
  • Collaborate with Data Scientists to deploy machine learning models on AWS SageMaker, optimizing model performance and ensuring secure deployments.
  • Automate deployment and monitoring of ML models using CI/CD pipelines and infrastructure-as-code (IaC) tools such as Terraform or AWS CloudFormation.
  • AWS specific tasks (EC2, S3, RDS, VPC, CloudFormation, AutoScaling, CodePipeline, CodeBuild, CodeDeploy, ECS/EKS, cost management, etc.)
  • Set up and manage monitoring solutions (e.g., CloudWatch) to ensure data pipelines and deployed models are operating effectively.
    • Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in Data Engineering with at least 3+ years working in AWS environments.
  • Strong knowledge of AWS services, specifically SageMaker, Lambda, Glue, and Redshift.
  • Hands-on experience deploying machine learning models in AWS SageMaker.
  • Proficiency in DevOps practices, including CI/CD pipelines, containerization (Docker, ECS, EKS), and infrastructure-as-code (IaC) tools like Terraform or CloudFormation.
  • Advanced SQL skills and experience in building and maintaining complex ETL workflows.
  • Proficiency in Python, with additional skills in Java or Scala
  • Practical experience with Airflow for DAG management and data orchestration.
  • Proficient in version control (GIT) and containerized deployment with Docker and managed services such as AWS Fargate, ECS, or EKS.
  • Effective communication, Result oriented approach.
    • Who you are working for - About Collective[i]:
    Collective[i] is on a mission to help people and companies prosper. Backed over 20 patents and developed by a team of world renowned entrepreneurs, engineers, scientists, and business leaders, Collective[i] is an Economic Foundation Model (“EFM”) that studies how the world does business. Collective[i]’s advisors include a world renowned economist, the former Vice Chair of the Federal Reserve, founders of Comcast, Instagram, MySQL, and former executives from Tesla, NewsCorp, USANetworks, and others.
    Harnessing insights from more than a decade of data collection, our EFM has been trained on trillions of dollars of data to unearth successful buying and selling patterns. With Collective[i], any person or company can plug in their own data and receive customized insights that help them maximize economic opportunity and adapt to changing market conditions.
    Founded and managed by the early teams behind LinkShare (purchased for $425m) and Overstock (NASDAQ:OSTK), Collective[i] is a private 100% remote company.
    Our core values help shape our culture: We are curious. We are direct. We deliver. We succeed together. We strive for the extraordinary. If you enjoy a challenge, thrive in an innovative environment and welcome the opportunity to work with amazing humans operating on the bleeding edge of technology, Collective[i] is the place for you.
    Recent press:
    Forbes: Stephen Messer: Amazon Missed The AI Boom
    CNBC: Harvard professor on A.I. job risks: We need to upskill ad update business models
    ZDNet: Why open source is essential to allaying AI fears
    Information about the founders:
    Tad Martin
    Stephen Messer
    Heidi Messer

    Skills

    AWS SageMaker Data Engineering DevOps Python SQL

    FAQs

    What is the last date for applying to the job?

    The deadline to apply for Full-Time Cloud DevOps Engineer at Collectivei is 3rd of January 2025 . We consider jobs older than one month to have expired.

    Which countries are accepted for this remote job?

    This job accepts [ Worldwide ] applicants. .
    Share:
    Share this on Pinterest Share this on LinkedIn Share this on Facebook Share this on X Share this on WhatsApp Share this on Telegram
    Apply Now

    Related Jobs You May Like

    Azure DevOps Engineer

    Jersey City, NJ
    2 days ago
    .NET
    Azure
    DevOps
    Derex Technologies Inc
    Full-Time
    Experienced

    Lead Palantir Developer

    Seattle, WA
    2 days ago
    CI/CD Pipelines
    Data Engineering
    Palantir Foundry
    Logic20/20 Inc.
    Full-Time
    Experienced
    YEAR $156750 - $173329

    Cloud AppOps Engineer

    Atlanta, GA
    3 days ago
    Application Support
    AWS
    Cloud Services (EC2, S3, IAM, ELB, VPC, VPN)
    Sutherland
    Full-Time
    Experienced

    Staff DataOps Engineer

    Remote, India
    3 days ago
    AWS
    CI/CD
    DataOps
    Nagarro
    Full-Time
    Experienced

    Query Tuning Specialist - Database Performance - Postgre

    Austin, Texas
    3 days ago
    Database Management
    Performance Tuning
    Problem-solving
    ServiceNow
    Full-Time
    Experienced

    DevOps Engineer, Playout

    New York, New York
    3 days ago
    CICD
    Cloud Services (AWS, GCP, Azure)
    DevOps
    NBCUniversal
    Full-Time
    Experienced
    YEAR $90000 - $110000

    Query Tuning Specialist - Database Performance - Postgres

    Austin, Texas
    3 days ago
    Database Management
    Performance Tuning
    SaaS/PaaS/Cloud Development
    ServiceNow
    Full-Time
    Experienced

    Lead Palantir Developer

    Seattle, WA
    4 days ago
    CI/CD Pipelines
    Cloud ETL
    Palantir Foundry
    Logic20/20 Inc.
    Full-Time
    Experienced
    YEAR $156750 - $173329

    Cloud AppOps Engineer

    Atlanta, GA
    4 days ago
    Application Support
    AWS
    Cloud Security
    Sutherland
    Full-Time
    Experienced

    Site Reliability Engineer

    Stamford, Connecticut
    4 days ago
    Cloud Platforms (AWS, GCP, Azure)
    Configuration Management
    Monitoring And Alerting Tools
    NBCUniversal
    Full-Time
    Experienced
    YEAR $110000 - $145000

    Senior Cloud Platform Engineer (Networking)

    Berlin, Germany
    5 days ago
    AWS
    Go
    Networking
    Scalable GmbH
    Full-Time
    Experienced

    DevOps Engineer

    Texas
    5 days ago
    AWS
    GitLab
    Kubernetes
    InfStones
    Full-Time
    Experienced
    All Remote Jobs

    Looking for a specific job?