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Staff Software Engineer, MDLC

3 hours, 14 minutes ago
United States
Full-time
Lead
Software Engineer
Software Development
Apache Spark AWS Azure CI/CD Docker GCP Go gRPC Java Kubeflow Kubernetes Microservices MLflow Python REST API Scala
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Puck

Puck

Puck helps great teams find great teammates through employer branding, conversations, and authentic candidate engagement, using personalized automation to enhance the candidate experience and improve hiring metrics.

Internet Software & Services
1-10
Founded 2020
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Description

  • Integrate model monitoring to provide a holistic view of deployment health and performance.
  • Enhance tagging and metadata capabilities across Domino entities to improve discoverability and tracking.
  • Expand LLM hosting capabilities to improve scale, performance, and logging for customer workloads.
  • Incorporate customer feature requests and innovations into the Domino Apps offering.
  • Design and implement secure, scalable APIs and backend services for model development and deployment.
  • Build and maintain high-performance backend systems in distributed computing environments.
  • Collaborate closely with cross-functional teams to integrate backend services with front-end interfaces and third-party services.
  • Profile, optimize, and tune backend performance in cloud and containerized environments (e.g., Docker, Kubernetes).
  • Develop and maintain robust testing practices and CI/CD pipelines, including unit, integration, and end-to-end testing.

Requirements

  • Hands-on experience developing and managing high-performance backend systems in distributed computing environments.
  • Proven experience designing and implementing secure, scalable APIs (e.g., RESTful APIs, gRPC).
  • Experience profiling and optimizing backend performance, particularly in cloud and containerized environments (Docker, Kubernetes).
  • Familiarity with testing frameworks and building CI/CD pipelines for production services.
  • Experience with ML model deployment, registries, versioning, and lifecycle management tools (e.g., MLflow, Kubeflow) is a strong plus.
  • Experience with distributed computing frameworks and training tools (e.g., Apache Spark, Ray, Azure ML, SageMaker) is a plus.
  • Proficiency or strong experience with backend languages such as Python, Java, Scala, or Go.
  • Experience working with cloud providers and deploying services on AWS, Azure, or GCP.

Benefits

  • Base salary range $200,000–$250,000 USD per year.
  • Equity participation in the company.
  • Eligibility for company bonus or commissions/bonuses.
  • 401(k) plan.
  • Medical, dental, and vision benefits.
  • Wellness stipends.
  • Remote work (#LI-Remote) and a culture that emphasizes teaching, learning, and professional growth.

Interested in this position?

Apply directly on the company website

Apply Now

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