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Senior Data Engineer

๐Ÿ“… Dec 11, 2025
PythonSQLETLData Modeling
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๐Ÿ“œ Description

  • Extend, scale, monitor, and manage numerous integrations for reliability and responsiveness.
  • Implement new connections and take ownership of integrations.
  • Optimize and support the AI pipeline's complex infrastructure.
  • Host and monitor NLP models and LLM for real-time and batch inference.
  • Create and support robust monitoring systems.
  • Assist with various important tasks, bringing innovative solutions.

๐Ÿ› ๏ธ Requirements

  • Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive.
  • Own the Integrations: Implement new connections and be the master and owner of these integrations.
  • Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure.
  • ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries
  • Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference.
  • Develop Monitoring Systems: Create and support robust models for monitoring.
  • Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.
  • Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential.
  • Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions
  • Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists.

โœจ Benefits

  • Fully Remote: Freedom to work from anywhere in the world with flexible core working hours.
  • In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding.
  • Generous Vacation: Benefit from our comprehensive vacation policy.
  • Growth Opportunities: Access continuous professional development and growth support.
  • Stock Options: Participate in our stock options program in this early-stage, fast-growing startup.
Full job description

Role Overview:

We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes.

Key Responsibilities and Skills:

  • Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive.

  • Own the Integrations: Implement new connections and be the master and owner of these integrations.

  • Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure.

  • ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries

  • Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference.

  • Develop Monitoring Systems: Create and support robust models for monitoring.

  • Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table.

Qualifications:

  • Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential.

  • Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions

  • Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists.

  • Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus.

  • Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing.

  • Bonus Points: Experience with Airbyte is a significant advantage.

Perks and Benefits:

  • Fully Remote: Freedom to work from anywhere in the world with flexible core working hours.

  • In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding.

  • Generous Vacation: Benefit from our comprehensive vacation policy.

  • Growth Opportunities: Access continuous professional development and growth support.

  • Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture.

  • Stock Options: Participate in our stock options program in this early-stage, fast-growing startup.

About Clarity

Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences.

We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry.

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