Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).
5+ years of professional software engineering experience with enterprise-grade applications.
Strong experience with Azure DevOps Pipelines and modern DevOps practices.
Proficient in Docker, containerization, and cloud-native architecture patterns.
Excellent written and verbal communication skills in English.
Strong understanding of machine learning and AI development.
Experience with software engineering best practices, including coding standards and testing.
Responsibilities
Design, develop, and maintain cloud-native applications using React or Svelte, TypeScript, .NET, and Python.
Build responsive and accessible user experiences with modern front-end frameworks.
Develop backend services and APIs using C#, .NET, and Python.
Architect and manage Azure resources using Infrastructure as Code practices.
Implement CI/CD pipelines with Azure DevOps and GitHub Actions.
Mentor team members and promote engineering best practices.
Continuously evaluate emerging technologies to improve development practices.
Benefits
Opportunities for professional development and training.
Collaborative work environment with cross-functional teams.
Access to cutting-edge technologies and tools.
Flexible work arrangements and work-life balance.
Participation in innovative projects leveraging AI and cloud solutions.
Full Job Description
Overview
Join us as we Rise to the Challenge
Duties, Responsibilities & Other
Design, develop, and maintain modern cloud-native applications using React or Svelte, TypeScript, .NET, Python, and Azure services.
Build responsive, scalable, and accessible user experiences leveraging modern front-end frameworks, component libraries, and design systems.
Develop backend services, APIs, integrations, and event-driven solutions using C#, .NET, Python, RESTful APIs, and asynchronous messaging patterns.
Design and implement robust data models utilizing SQL Server, PostgreSQL, Entity Framework Core, ORM frameworks, and database scripting technologies.
Architect, deploy, and manage Azure resources using Infrastructure as Code (IaC) practices, including Bicep and ARM templates.
Design and implement CI/CD pipelines using Azure DevOps and GitHub Actions to automate testing, security validation, infrastructure provisioning, and application deployments.
Develop, deploy, and manage containerized workloads using Docker, Azure Container Apps, and related Azure platform services.
Design and implement enterprise solutions leveraging the Microsoft Power Platform, including Power Apps, Power Automate, Dataverse, Power Pages, and custom connectors.
Build intelligent business solutions using AI agents, Retrieval-Augmented Generation (RAG), Azure AI Foundry, Copilot technologies, Ollama, vLLM, and modern LLM orchestration frameworks.
Collaborate with architects, product owners, business stakeholders, and cross-functional teams to define technical solutions that align with business objectives.
Participate in architecture reviews, code reviews, and technical design sessions to ensure scalability, maintainability, security, and operational excellence.
Troubleshoot and optimize application performance across front-end, backend, cloud infrastructure, integrations, and data layers.
Mentor team members, contribute to technical leadership, and promote engineering best practices across projects.
Participate in all phases of the software development lifecycle, from requirements gathering and solution design through deployment and production support.
Continuously evaluate emerging technologies and recommend improvements to development practices, cloud architecture, and platform capabilities.
Specialized Experience Required:
Strong experience developing modern web applications using React or Svelte and TypeScript.
Proficiency in backend development using C#, .NET, and/or Python.
Deep experience with Microsoft Azure, including App Services, Functions, Storage Accounts, API Management, Key Vault, Entra ID, Application Insights, and Azure Monitor.
Experience implementing Infrastructure as Code using Bicep, ARM templates, and automated Azure deployment strategies.
Experience with source control systems including Git, branching strategies, pull request workflows, and collaborative development practices.
Experience designing and consuming REST APIs, event-driven systems, microservices, and distributed architectures.
Experience implementing AI-powered solutions using Azure AI Services, Azure AI Foundry, Copilot Studio, Microsoft Agent Framework, LangGraph, GitHub Copilot SDK, OpenAI Agent SDK, or similar frameworks.
Strong understanding of application security, authentication, authorization, secure coding standards, and cloud governance principles.
Experience working within Agile delivery methodologies and DevOps-oriented engineering teams.
Specialized Experience Preferred:
Experience with Power Platform Application Lifecycle Management (ALM), solution deployment, and environment management.
Knowledge of Azure messaging and integration services, including Azure Service Bus, Event Grid, Event Hub, and Logic Apps.
Experience with Azure Container Apps and serverless architectures.
Familiarity with Domain-Driven Design (DDD), microservices, and distributed system design patterns.
Experience implementing automated testing strategies, including unit, integration, end-to-end, and performance testing.
Azure, Power Platform, AI, and DevOps certifications are highly desirable.
Experience leading technical workstreams, solution design, or mentoring development teams.
Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (Master's degree preferred).
Minimum of 5+ years of professional software engineering experience delivering enterprise-grade applications and solutions.
Strong experience designing and maintaining Azure DevOps Pipelines, release automation, and modern DevOps practices Strong understanding of machine learning and AI development.
Must have experience with Docker, containerization, and cloud-native architecture patterns.
Excellent written and verbal communication skills in English.
Experience with professional software engineering best practices, including coding standards, code reviews, source control management, build processes, and testing.
Great organizational and time-management skills.
Pre-employment drug screening and background check are conditions of employment. Motor vehicle checks may be required based upon position.
About KCI Technologies, Inc
KCI Technologies, Inc. is a multi-disciplined engineering and construction firm that provides a range of services to clients in the public and private sectors. The company was founded in 1955 and is headquartered in Sparks, Maryland. KCI Technologies offers a wide range of services, including civil engineering, environmental engineering, transportation engineering, and construction management. The company has completed projects in a variety of industries, including transportation, water resources, and telecommunications, and has been recognized for its innovative and sustainable solutions. KCI Technologies is committed to providing high-quality, cost-effective services to its clients and is dedicated to improving the communities in which it operates.
