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Avantos

AI-driven platform for client lifecycle management

Software Engineer - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNovi Sad, SerbiaNo salary listedIn-person

About the Job

Requirements

  • Three to five years of experience in backend development.
  • Strong proficiency in Golang and/or Python.
  • Experience with AWS services and cloud architecture.
  • A solid understanding of relational databases, particularly PostgreSQL.
  • Excellent problem-solving and analytical skills.
  • Strong written communication skills.

Responsibilities

  • Design, develop, and maintain scalable and efficient backend services using Golang and Python.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Implement and optimize database schemas, queries, and data models using PostgreSQL.
  • Work with event-driven architectures and message queues, particularly Kafka.
  • Participate in code reviews and contribute to improving development practices.
  • Manage and optimize AWS cloud infrastructure.
  • Troubleshoot, debug, and fix production issues.
  • Write clean, maintainable, and well-documented code.
  • Contribute to the continuous improvement of development and deployment processes.

Desired Qualifications

  • Familiarity with event-driven architectures and message queues, particularly Kafka.
  • Experience with containerization and orchestration using Docker and Kubernetes.
  • Knowledge of continuous integration and continuous delivery (CI/CD) practices and tools such as ArgoCD.
  • Experience with infrastructure as code tools such as Terraform.
  • Experience in the financial services industry.
  • Familiarity with microservices architecture.
  • Knowledge of security best practices in cloud environments.
  • Experience with monitoring and logging tools.

About the Company

Avantos

AI-driven platform for client lifecycle management

Avantos provides an AI-native operating system for financial institutions to manage the entire client lifecycle, from onboarding to servicing. It uses a knowledge graph to connect client data, products, service teams, and workflows so AI agents can reason across relationships, orchestrate work, and execute tasks, with features like AI co-pilots, automated workflow orchestration, a SmartBuilder, and pre-built connectors to CRMs and portfolio tools. The platform moves beyond data insights by enabling cross-functional execution and end-to-end automation on a single system, differentiating itself from firms that rely on fragmented legacy software. Its goal is to deliver a consistent, personalized, and compliant client experience across wealth management, insurance, retirement, and banking by consolidating disparate systems into one intelligent operating system.

Company size
51-200
Company stage
Series A
Total funding
$35M
Headquarters
New York City, New York
Founded
2024

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