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Conga

Cloud-based revenue lifecycle management platform

Software Engineer - AI Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBulgariaNo salary listedIn-person

About the Job

Requirements

  • Demonstrated solid engineering experience building and shipping production software.
  • Strong hands-on experience with Python, FastAPI, PyTest, Celery, and modern software design patterns.
  • Ability to navigate complex systems and contribute to architectural discussions.
  • Experience designing features, collaborating with product management, writing tests, automating workflows, and deploying services in a cloud environment.
  • Familiarity with GitHub, JIRA, and DevOps principles.
  • Experience with object-oriented programming, concurrency, and REST APIs.
  • Experience with CI/CD tools such as Terraform or GitHub Actions.
  • Familiarity with AI/ML, generative AI, and MLOps concepts.
  • Experience with SQL or NoSQL databases, including MongoDB, MSSQL, or Postgres.
  • Experience with Docker, Kubernetes, or Google Cloud Platform technologies such as Vertex AI, BigQuery, GKE, GCS, Dataflow, or Kubeflow.
  • Experience with testing frameworks such as PyMock, xUnit, or mocking libraries.
  • Experience with additional programming languages such as C#, Java, or Scala.

Responsibilities

  • Design, code, test, deploy, and maintain software across the full development lifecycle.
  • Build AI and generative AI products and contribute to the technical foundation of the company’s flagship solutions.
  • Contribute to the reliability, scalability, and performance of AI capabilities and services.
  • Work across the AI development lifecycle, including data collection and preprocessing, model training, evaluation, and deployment.
  • Automate tests using tools such as PyTest or Selenium, and contribute to telemetry, observability, and root-cause analysis.
  • Identify issues and help maintain service reliability.
  • Participate in design reviews, provide code review feedback, document work, and contribute to training materials.
  • Partner with product management to design, develop, test, deploy, and maintain production software.
  • Manage priorities, negotiate deadlines, and deliver features with quality and clarity.

Desired Qualifications

  • Experience with object-oriented programming, concurrency, and REST APIs.
  • Experience with CI/CD tools such as Terraform or GitHub Actions.
  • Familiarity with AI/ML, generative AI, and MLOps concepts.
  • Experience with SQL or NoSQL databases, including MongoDB, MSSQL, or Postgres.
  • Experience with Docker, Kubernetes, or Google Cloud Platform technologies such as Vertex AI, BigQuery, GKE, GCS, Dataflow, or Kubeflow.
  • Experience with testing frameworks such as PyMock, xUnit, or mocking libraries.
  • Experience with additional programming languages such as C#, Java, or Scala.

About the Company

Conga

Cloud-based revenue lifecycle management platform

Conga provides cloud-based software that automates and manages the revenue lifecycle for businesses. Its SaaS platform unifies CPQ, CLM, and Document Automation into a single data model and can connect with any CRM, ERP, or cloud system, with modules like Conga CPQ, CLM, and Composer, and AI features for insights and contract risk. It differentiates itself by offering open, system-wide integration and a unified revenue-record across departments to reduce data silos and streamline workflows. The goal is to help companies accelerate revenue, drive profitable growth, and gain a holistic view of commercial operations.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$117M
Headquarters
Broomfield, CO
Founded
2006

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