Remote Backend Engineer

Remote • Posted 6 hours ago • Updated 6 hours ago
Full Time
Remote
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Software Engineering
  • Workflow
  • Pricing
  • Underwriting
  • Regression Analysis
  • Incident Management
  • Continuous Improvement
  • Collaboration
  • Backend Development
  • Java
  • .NET
  • Node.js
  • TypeScript
  • API
  • Microservices
  • Amazon Web Services
  • Cloud Computing
  • Continuous Integration
  • Continuous Delivery
  • Management
  • Testing
  • Performance Tuning
  • Production Support
  • Semantics
  • Evaluation
  • Generative Artificial Intelligence (AI)
  • Application Development
  • Prompt Engineering
  • Orchestration
  • Ontologies
  • Modeling
  • Taxonomy
  • Semantic Technologies
  • Meta-data Management
  • Python
  • Machine Learning (ML)
  • Artificial Intelligence
  • Vector Databases
  • Semantic Search
  • Data Integration
  • JavaScript

Summary

Remote Backend Engineer

Our client, a growing enterprise technology organization, is seeking a Backend Engineer to build and operate core APIs, services, orchestration layers, integrations, and business capabilities. This role combines strong software engineering discipline with modern AI-assisted development practices to deliver secure, scalable, resilient services from design through production operation.

Key Responsibilities:
  • Design, build, test, deploy, and operate cloud-native backend services, APIs, workflows, and integration capabilities.
  • Implement business logic, orchestration services, domain services, event-driven patterns, and service composition required by project workstreams.
  • Develop integrations with enterprise systems, third-party platforms, data services, pricing/underwriting capabilities, and AI/agent services.
  • Leverage AI coding agents and engineering copilots to accelerate development while maintaining strong review, testing, and production quality practices.
  • Create automated unit, integration, contract, regression, and performance tests as part of the delivery lifecycle.
  • Contribute to API standards, reusable patterns, golden paths, CI/CD pipelines, infrastructure automation, and service reliability practices.
  • Own production readiness, monitoring, incident response, defect remediation, and continuous improvement for delivered services.
  • Collaborate with Analysts and Product Owners to ensure requirements, contracts, and acceptance criteria are clear and technically executable.
Preferred Skills:
  • Backend development experience with Java, Python, .NET, Node.js, TypeScript, or equivalent enterprise technologies.
  • API-first design, microservices, service orchestration, event-driven architecture, and distributed systems patterns.
  • AWS cloud services, containers, CI/CD, infrastructure as code, secrets management, and automated deployment practices.
  • Experience with contract testing, automated quality gates, performance tuning, observability, and production support.
  • Comfortable working in an AI-assisted delivery environment where engineers guide, review, harden, and operationalize agent-generated outputs.
  • Design and maintain ontologies, taxonomies, business vocabularies, semantic models, and concept relationships across domains.
  • Develop knowledge graphs, entity relationships, metadata structures, and mappings that allow agents and systems to reason across business concepts.
  • Engineer AI agent patterns, retrieval-augmented generation pipelines, prompt strategies, orchestration flows, evaluation frameworks, and reusable AI components.
  • Generative AI, LLM application development, prompt engineering, agent orchestration, and RAG architecture.
  • Ontology modeling, taxonomy development, knowledge graphs, semantic technologies, and metadata design.
  • Python, ML/AI frameworks, vector databases, semantic search engines, and data integration patterns.
What Sets This Role Apart
  • Not a narrow coder role - you'll help shape service architecture and own outcomes through production.
  • Opportunity to reduce system dependencies through strong contracts and self-service platform patterns.

#LI-JS2
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10488758
  • Position Id: ed7d8087c904855b25dc9b3e163317b4
  • Posted 6 hours ago
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