Senior Software Architect – .Net/Python

Jobtailor

Alabama

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Jobtailor seeks an accomplished Enterprise Architect to lead architecture strategy for multiple business initiatives. You will drive secure, scalable, cloud-ready applications using .NET, modern frameworks, and microservices.

Lead modernization from monoliths to distributed cloud-native systems and mentor teams across programs. Responsibilities include consulting across delivery teams, evaluating emerging technologies, and creating reusable patterns and accelerators to boost velocity and

Qualifications

10+ years of experience in software engineering, solution architecture, or enterprise architecture roles.
Experience designing and implementing enterprise-scale distributed applications using .NET Core.
Proven success architecting and delivering enterprise microservices solutions.
Strong experience with .NET Core, Docker, Kubernetes or OpenShift, and Kafka or comparable messaging platforms.
Familiarity with Angular or modern front-end frameworks.

Responsibilities

Define and drive solution and application architecture strategy across multiple business initiatives and delivery teams.
Architect secure, scalable, highly available, cloud-ready enterprise applications using .NET and modern frameworks.
Lead modernization from monolithic and legacy systems to distributed, cloud-native architectures.
Provide architecture consulting and technical leadership across programs and development teams.
Evaluate emerging technologies and recommend solutions that improve business outcomes, development velocity, and operational efficiency.
Create reusable architectural patterns, foundational frameworks, and development accelerators.

Skills

.NET Core

Microservices

Docker

Kubernetes

Kafka

AI Frameworks

Domain-Driven Design

RESTful APIs

Event-Driven Architecture

Cloud Architecture

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field

Equivalent experience

Tools

Azure DevOps

Git

Jira

OpenAPI/Swagger

TensorFlow

PyTorch

Scikit-learn

Microsoft Agent Framework

LangChain

AWS Bedrock

Job description

Responsibilities

Define and drive solution and application architecture strategy across multiple business initiatives and delivery teams
Architect secure, scalable, highly available, cloud-ready enterprise applications using .NET and modern frameworks
Lead modernization from monolithic and legacy systems to distributed, cloud-native architectures
Provide architecture consulting and technical leadership across programs and development teams
Evaluate emerging technologies and recommend solutions that improve business outcomes, development velocity, and operational efficiency
Create reusable architectural patterns, foundational frameworks, and development accelerators
Design and implement microservices using Domain-Driven Design and modern architectural principles
Lead adoption of containerized platforms using Docker and Kubernetes or OpenShift
Architect resilient systems supporting active-active deployment, fault tolerance, and disaster recovery
Design and manage RESTful APIs and service integrations using OpenAPI/Swagger
Design and implement event-driven architectures using Kafka or similar streaming technologies
Develop scalable data architectures for high-volume transaction processing
Define and drive AI architecture strategies using LLMs, AI agents, machine learning, and intelligent automation
Design AI-powered solutions including conversational AI, RAG, and agentic workflows
Integrate AI agents with applications, APIs, databases, and knowledge repositories
Evaluate AI technologies, model providers, vector databases, orchestration frameworks, and AI development platforms
Partner with stakeholders to identify AI and machine learning opportunities
Collaborate with product owners, business analysts, engineering leaders, and executives
Translate complex technical concepts into business recommendations
Mentor architects, developers, and technical leads
Lead technology selection, architecture reviews, and strategic planning
Lead the overall design of cross-functional, multi-platform, and web-based application systems
Develop application architecture and blueprints reflecting enterprise business logic
Define application components, platforms, interfaces, and development tools
Provide technical guidance to application development teams
Consult on integration and conversion activities
Review and analyze organizational needs and goals to develop and implement applications

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is preferred
Equivalent experience will be considered
10+ years of experience in software engineering, solution architecture, or enterprise architecture roles
Experience designing and implementing enterprise-scale distributed applications using .NET Core
Proven success architecting and delivering enterprise microservices solutions
Strong experience with .NET Core, Docker, Kubernetes or OpenShift, and Kafka or comparable messaging platforms
Deep knowledge of software architecture principles, SOLID design, enterprise integration patterns, distributed systems, and unit testing
Experience architecting secure, scalable, cloud-native applications
Strong understanding of application security, performance optimization, resiliency, and operational excellence
Excellent communication and presentation skills for technical and executive audiences
Demonstrated leadership, mentoring, and organizational influence
Experience implementing cloud-native architectures and platform engineering practices
Familiarity with Angular or modern front-end frameworks
Experience with Agile/Scrum and tools such as Git, Jira, and Azure DevOps or similar
Experience building AI-powered applications using commercial or open-source LLMs
Hands‑on experience developing AI agents, agent orchestration workflows, or enterprise copilots
Experience with AI frameworks and platforms such as Microsoft Agent Framework, Semantic Kernel, LangChain, AutoGen, CrewAI, Azure AI Foundry, OpenAI, Anthropic, AWS Bedrock, or Google Vertex AI
Experience designing RAG solutions using vector databases
Understanding of prompt engineering, model evaluation, model governance, and AI observability
Experience training, deploying, and operationalizing machine learning models
Familiarity with TensorFlow, PyTorch, Scikit-learn, or equivalent technologies
Experience integrating machine learning solutions into enterprise applications
No employment visa sponsorship or STEM OPT participation

Core Competencies

Demonstrates expertise in architecting secure, scalable, cloud-native applications using .NET Core and modern frameworks, with a strong focus on microservices, AI integration, and operational excellence. Proven ability to lead cross-functional teams, mentor technical staff, and drive technology selection and strategic planning.

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