Kotlin Backend Engineer

Dahl Consulting
Brooklyn Park, MN, United States
2 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$116,480.0 - $187,200.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Automation of Tests Batch Processing Big Data Cloud Engineering Software Quality Continuous Integration File Systems Distributed Systems
+24 more
File Transfer PostgreSQL Enterprise Messaging Systems Software Tools Software Engineering Systems Integration Web Services Data Processing Enterprise Software Applications Chatbots GitHub Copilot System Availability Large Language Models Spring-boot Software Application Programming Backend Kotlin Event Driven Architecture Apache Kafka Graphql Virtual Agents Restful APIs Api Management Microservices

Job description

Our firm is recruiting on behalf of a leading Fortune 50 retail and technology organization that serves millions of customers through innovative digital commerce, financial services, and omnichannel experiences. The company is investing in modern payment and transaction platforms that power secure, scalable, and high-volume operations across its enterprise ecosystem., We are seeking a highly skilled Kotlin Backend Engineer to design, develop, and support scalable backend services for a mission-critical financial platform. This role is ideal for engineers who enjoy solving complex distributed systems challenges, building modern APIs, processing large-scale data workloads, and driving high-performance application development in a collaborative Agile environment., As a Kotlin Backend Engineer, you will play a key role in developing and maintaining backend services supporting a payment and transaction platform ecosystem, including API services, file processing systems, real-time event processing, and secure file transfer capabilities., * Design, develop, test, deploy, and maintain production-grade backend services and applications.

  • Build and support scalable API platform capabilities, including RESTful APIs and GraphQL services.
  • Develop solutions that handle large-volume data processing, large-file processing, and batch workloads.
  • Design and implement event-driven architectures using Kafka and related messaging technologies.
  • Create and optimize scalable caching solutions to improve system performance, reliability, and responsiveness.
  • Collaborate with product managers, infrastructure teams, security teams, and fellow engineers to deliver high-quality solutions.
  • Participate in Agile ceremonies and contribute to continuous improvement initiatives.
  • Implement automated testing strategies and ensure software quality through best engineering practices.
  • Monitor, troubleshoot, and optimize production systems to ensure high availability and operational efficiency.

Requirements

  • 5+ years of professional Java software engineering experience, with a strong focus on backend development.
  • Hands-on experience developing applications using Kotlin and Micronaut.
  • Strong experience with vanilla Kotlin and Java/Spring Boot development.
  • Demonstrated expertise building and supporting enterprise-scale API platforms, including REST APIs and GraphQL.
  • Experience designing and implementing solutions using Kafka and PostgreSQL.
  • Production experience working with large-scale data processing, large-file processing, and batch processing systems.
  • Experience implementing and supporting scalable caching solutions in production environments.
  • Familiarity with AI-assisted software development tools such as GitHub Copilot or similar solutions.
  • Strong understanding of automated testing frameworks, CI/CD practices, and Agile software development methodologies.
  • Experience designing scalable, secure, and highly available distributed systems., * Experience developing and deploying Agentic AI solutions, including production-ready AI agents.
  • Experience building Conversational AI applications, particularly for customer-facing or service-oriented use cases.
  • Experience integrating AI/LLM capabilities into enterprise applications and business workflows.
  • Experience developing applications within PCI-compliant or highly regulated environments.
  • Background working in large-scale retail, e-commerce, payments, financial services, or transaction-processing platforms.
  • Experience with cloud-native architectures and microservices-based systems.

Benefits & conditions

Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.

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Good distractions

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