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What You'll Do:
Exposure to Modern Technologies : Work with cutting-edge tools in AI, big data, microservices, and cloud platforms like Azure.
Endless Learning Opportunities : From internal tech communities to cross-team collaborations, you’ll continuously level up your skills in an environment that values craftsmanship.
Scale Like No Other : Your code won’t just power an app—it’ll impact over 2 million associates and hundreds of millions of customers around the globe.
Strong Engineering Culture : Engage in design thinking, code reviews, technical mentorship, and operational excellence.
Collaborative Environment : Work closely with cross-functional teams including data scientists, product managers, and software engineers to deliver integrated AI solutions.
What you'll Bring:
Extensive Experience : At least 12+ years of relevant industry experience in building and scaling highly available systems.
AI/ML Integration Expertise : Proven track record in designing and deploying scalable AI/ML solutions integrated with LLM in production environments.
Technical Mastery :
Languages : Advanced proficiency in Python and familiarity with other languages such as Java or Scala.
AI/ML Frameworks : Deep expertise in TensorFlow, PyTorch, Transformers, LangChain, LangGraph, etc.
LLM Techniques : Extensive experience with techniques such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning.
Cloud Proficiency :
Platforms : In-depth knowledge of cloud architecture and deployments, particularly with Azure offerings.
Services : Experience with cloud storage, cloud security, and cloud migration.
MLOps Leadership :
Containerization and Orchestration : Advanced proficiency with Docker and Kubernetes.
Infrastructure as Code : Expertise with Terraform and AWS CDK.
CI/CD Workflows : Strong familiarity with MLflow for deployment, monitoring, and continuous integration/continuous deployment (CI/CD) workflows.
Frontend Technologies : Familiarity with front-end technologies like ReactJS.
Data Engineering : Comprehensive knowledge of big data technologies such as Apache Spark, Hadoop, and data pipelines.
APIs and Microservices : Significant experience with RESTful APIs, GraphQL, and microservices architecture.
DevOps : Advanced understanding of DevOps practices and tools such as Jenkins, Git, and CI/CD pipelines.
Soft Skills : Exceptional problem-solving skills, outstanding communication abilities, and the ability to lead in a fast-paced, collaborative environment.
Additional Preferred Qualifications:
Certification : Relevant certifications in AI/ML, cloud platforms (Azure, AWS, GCP), or MLOps.
Contributions : Active contributions to open-source projects or significant participation in tech communities.
Leadership : Demonstrated leadership experience in guiding and mentoring junior engineers and driving a collaborative team environment.
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
For information about PTO, see
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see
The annual salary range for this position is $132,000.00-$264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum Qualifications...These jobs might be a good fit