Remote Backend Engineer

IntePros; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

IntePros is seeking a Backend Engineer to design, build, and operate cloud-native APIs and services. You will implement business logic, orchestration, and integrations with enterprise systems while applying AI-assisted development practices.

You will contribute to API standards, CI/CD pipelines, and production readiness, partnering with Analysts and Product Owners to ensure clear, executable requirements.

Qualifications

• Backend development with modern enterprise tech stacks.
• Experience delivering API-first microservices with orchestration patterns.
• Proficient in AWS, containers, CI/CD and IaC practices.
• Familiar with contract testing, automated gates, and observability.

Responsibilities

• Design, build, test, deploy, and operate cloud-native backend services and APIs.
• Implement domain services, orchestration, event-driven patterns, and service composition.
• Develop integrations with enterprise systems and AI/agent services.
• Leverage AI coding agents to accelerate development while ensuring quality.
• Create automated tests across unit, integration, contract, and performance areas.
• Contribute to API standards, CI/CD pipelines, and infrastructure automation.
• Own production readiness, monitoring, incident response, and improvements.
• Collaborate with Analysts and Product Owners to clarify requirements.

Skills

Java

Python

.NET

Node.js

TypeScript

API-first design

microservices

service orchestration

event-driven architecture

distributed systems patterns

AWS cloud services

containers

CI/CD

infrastructure as code

secrets management

automated deployment

contract testing

observability

production support

AI-assisted development

ontology modeling

knowledge graphs

semantic modeling

LGM/agent patterns

RAG architecture

prompt engineering

vector databases

Tools

Docker

Kubernetes

Terraform

Job description

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.