DevOps Engineer II

Posted 7 Days Ago
Boston, MA
Hybrid
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
At Chewy, our mission is to be the most trusted and convenient destination for pet parents and partners, everywhere.
The Role
As a Software Engineer II in the People Analytics team, you will design and implement scalable ML Ops pipelines, collaborate closely with data scientists, and optimize AWS cloud applications. Your work will directly impact HR strategies and operational efficiency through artificial intelligence and machine learning.
Summary Generated by Built In

Our Opportunity:
At Chewy, data is at the heart of our decision-making, and our HR organization is no exception. We are seeking a dedicated Software Engineer II to join our People Analytics team as the first dedicated Software Engineer focused on building scalable ML Ops pipelines in the HR space. This role represents a unique opportunity to pioneer brand new machine learning infrastructure and deployment processes in a greenfield environment.
As a key contributor, you'll design and implement innovative solutions that enable HR to demonstrate artificial intelligence and machine learning at scale. Collaborating closely with data scientists, data engineers, and analysts, you'll bridge the gap between research and production, ensuring seamless integration and impactful outcomes. Your work will directly enhance Chewy's ability to optimize the employee experience, improve operational efficiency, and empower strategic HR decisions through advanced data capabilities.
This role offers an unparalleled chance to make your mark on a growing organization while working on brand new tools and technologies. You'll have the freedom to experiment, innovate, and shape the future of AI driven HR solutions at Chewy. If you're excited about solving complex challenges and building systems that make a difference, this is the role for you!
Key Responsibilities:

  • Build and maintain scalable ML Ops pipelines, including model versioning, testing, and monitoring.
  • Design containerized solutions using Docker and Kubernetes for efficient deployment and scaling.
  • Implement Infrastructure as Code (IaC) solutions using Terraform or CloudFormation to streamline infrastructure management.
  • Develop and handle CI/CD workflows tailored for AI models and data pipelines to enable rapid iteration and deployment.
  • Optimize AWS Service based cloud applications to with achieve cost-efficiency and performance.
  • Collaborate with applied scientists and data engineers to ensure seamless integration between research prototypes and production systems.
  • Build robust ETL/ELT pipelines to process structured and unstructured HR data using tools like Apache Airflow or AWS Glue.
  • Ensure quality through automated testing frameworks and implement quality assurance processes for machine learning pipelines.
  • Translate complex technical requirements into impactful solutions aligned with HR and business strategies.


Qualifications:

  • 5+ years of experience with containerization and orchestration tools like Docker and Kubernetes.
  • Proficiency in Infrastructure as Code (IaC) tools, including Terraform and CloudFormation.
  • Expertise in Continuous Integration and Continuous Deployment (CI/CD) systems and workflows, particularly with Github Actions and Jenkins.
  • Familiarity and tried work experience integrating web-services and applications into existing private networks.
  • Strong proficiency in Python and SQL, with experience in libraries like pandas, scikit-learn, and PyTorch or TensorFlow.
  • Experience in deploying machine learning models in production environments using tools like SageMaker or MLflow.
  • Excellent problem-solving skills and approach to work effectively in multi-functional teams.


Preferred Qualifications:

  • Experience with monitoring and observability tools such as Prometheus, Grafana, or similar.
  • Knowledge of security standard processes in cloud and ML deployments.
  • Strong understanding of data engineering principles and tools like Apache Spark or Kafka.
  • Familiarity with ML Ops frameworks like Kubeflow, MLflow, or similar platforms.
  • Experience in creating cost-optimized and scalable solutions for machine learning workflows in the cloud.
  • Ability to effectively communicate technical concepts to non-technical collaborators.


Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact [email protected].
If you have a question regarding your application, please contact [email protected].
To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Top Skills

Python
SQL

What the Team is Saying

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The Company
HQ: Boston, MA
20,000 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

We view pets and pet parents as family and are obsessed with meeting their needs and exceeding customer expectations through every interaction. Behind the scenes, our talented teams are made up of innovators, delighters, big-thinkers and of course, passionate pet people—creating a place where you'll be empowered to build, grow and unleash your fullest potential.

We don’t just stand by our company mission—we’re obsessed with it. We seek to be the most trusted and convenient destination for pet parents and partners, everywhere. And we’re constantly finding new ways to do just that.

At Chewy, we understand pet parenthood is full of joyful highs and anxious lows. That’s why we’re here, standing alongside pet parents, providing everything their pets need for a happy, healthy life. We’re a leading online source for pet products, supplies, and prescriptions. We offer a broad selection of high-quality products and services at competitive prices with an exceptional level of customer care and a personal touch.

Since launching in 2011, we’ve combined the personalized service of your neighborhood pet store with the convenience and speed of e-commerce. We pride ourselves on being the only brand available 24/7/365 to support pet parents throughout their journey.

We have a rich history of being recognized for our deep care and personalization while going above and beyond for our customers and their pets.

We view pets and their people as more than just customers and look forward to meeting their needs and exceeding expectations through every interaction. With Chewy, no one pet-parents alone.

Our culture is for those who thrive on delivering results and becoming your best—no matter your role or location. At Chewy, our Operating Principles serve as a common language, or framework, that connects two of Chewy's most valuable elements—our people and our culture. The Operating Principles guide our character, capabilities, imagination, and methods for execution in support of our company's mission.

Why Work With Us

We're proud to be one of the fastest growing e-commerce companies of all time.

With growth comes the exciting opportunity to be a part of a world-class organization of engineering, product, and design team members, responsible for driving our latest innovations and designing "out-of-the Chewy box" experiences.

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