Domino Data Lab
Why consider this job opportunity
Salary up to $200,000
Opportunity for equity and company bonuses
Comprehensive benefits package including 401(k), medical, dental, and vision coverage
Flexible work environment with remote work options
Collaborative and innovative team culture that values growth and diversity
What to Expect (Job Responsibilities)
Integrate model monitoring to provide insights into deployment health and performance
Enhance tagging capabilities for improved model discoverability and tracking
Expand large language model (LLM) hosting capabilities to meet customer demands
Innovate within the company's applications by incorporating customer feedback
Collaborate with cross-functional teams to integrate systems and APIs
What is Required (Qualifications)
Hands‑on experience developing high‑performance back‑end systems in distributed computing environments
Proficiency in designing and implementing secure, scalable APIs (e.g., RESTful APIs, gRPC)
Experience with performance optimization in cloud environments or container technologies like Docker and Kubernetes
Familiarity with robust testing frameworks and CI/CD pipeline setup
Expertise in back‑end programming languages such as Python, Java, Scala, or Go
How to Stand Out (Preferred Qualifications)
Familiarity with model registries, versioning, and lifecycle management tools like MLflow or KubeFlow
Experience with distributed computing frameworks like Apache Spark, Azure ML, or SageMaker
Proficiency with cloud platforms such as AWS, Azure, or GCP
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Salary up to $200,000
Opportunity for equity and company bonuses
Comprehensive benefits package including 401(k), medical, dental, and vision coverage
Flexible work environment with remote work options
Collaborative and innovative team culture that values growth and diversity
What to Expect (Job Responsibilities)
Integrate model monitoring to provide insights into deployment health and performance
Enhance tagging capabilities for improved model discoverability and tracking
Expand large language model (LLM) hosting capabilities to meet customer demands
Innovate within the company's applications by incorporating customer feedback
Collaborate with cross-functional teams to integrate systems and APIs
What is Required (Qualifications)
Hands‑on experience developing high‑performance back‑end systems in distributed computing environments
Proficiency in designing and implementing secure, scalable APIs (e.g., RESTful APIs, gRPC)
Experience with performance optimization in cloud environments or container technologies like Docker and Kubernetes
Familiarity with robust testing frameworks and CI/CD pipeline setup
Expertise in back‑end programming languages such as Python, Java, Scala, or Go
How to Stand Out (Preferred Qualifications)
Familiarity with model registries, versioning, and lifecycle management tools like MLflow or KubeFlow
Experience with distributed computing frameworks like Apache Spark, Azure ML, or SageMaker
Proficiency with cloud platforms such as AWS, Azure, or GCP
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr