.Net Developer with AI Experience (FTE & Contract)

REALIGN LLC; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

REALIGN LLC seeks a hands-on .NET Developer with AI experience to lead architecture and deliver scalable enterprise platforms in Houston, TX. The role combines coding leadership with design governance across cloud-native services.

The candidate will own critical services, champion secure development, and drive reliability, performance, and observability. AWS/Azure, Kubernetes, and AI integration are key aspects of the role.

Qualifications

• Expert C# 12 and .NET 8 experience.
• Experience with microservices and distributed systems.
• Experience with AWS/Azure and cloud deployments.
• AI/LLM integration experience preferred.
• Security, performance engineering, and reliability focus.

Responsibilities

• Own critical code paths and production‑grade services in C# and .NET 8.
• Lead architecture design for scalable, secure systems.
• Mentor engineers and resolve complex technical challenges.
• Define observability standards and ensure operational readiness.
• Drive cloud-native modernization and DevOps practices.

Skills

C#

.NET

Distributed systems

AWS

Azure

Security

Performance engineering

Production reliability

AI/LLM integration

Tools

Kubernetes

Docker

OpenTelemetry

CloudWatch

Prometheus

Terraform

Job description

.Net Developer with AI Experience (FTE & Contract)

Houston, Texas 77001 Posted September 11th, 2026

Role - .Net Developer with AI Experience
Location – Houston, TX
FTE & Contract both

Role Overview:

We are seeking a hands-on .NET Microservices Lead to define, build, and govern large-scale enterprise platforms. The role requires deep expertise in C#, .NET, distributed systems, AWS /Azure, security, performance engineering, and production reliability. The architect must remain close to the code, lead critical implementations, guide multiple engineering teams, and translate business goals into secure, scalable, and operable solutions. Practical exposure to AI/LLM integration is preferred.

Core Responsibilities:

Hands-on Coding and Engineering Leadership

• Own critical code paths and develop production‑grade services, frameworks, reusable components, and reference implementations using C# and .NET 8.
• Conduct code reviews and technical audits covering readability, concurrency, error handling, testability, security, performance, and operational readiness.
• Establish coding standards, design patterns, automated quality gates, unit and integration test practices, and secure development controls.
• Mentor senior engineers and technical leads while resolving complex implementation challenges and design conflicts.

Architecture and System Design

• Lead high‑level and low‑level design for business‑critical, high‑throughput, low‑latency, and globally scalable platforms.
• Define service boundaries using domain‑driven design, bounded contexts, API contracts, data ownership, and evolutionary architecture principles.
• Produce architecture blueprints, sequence and deployment views, non‑functional requirements, trade‑off analyses, and architecture decision records.
• Lead design reviews across teams and ensure solutions meet scalability, availability, recoverability, maintainability, compliance, and cost objectives.
• Drive modernization of monolithic and legacy platforms into cloud‑native, independently deployable services.

Distributed Systems, Reliability and Operations

• Design resilient synchronous and asynchronous workflows using REST, messaging, event streaming, queues, and publish‑subscribe models.
• Apply distributed systems patterns including Saga, CQRS, event sourcing where appropriate, idempotency, outbox, circuit breaker, bulkhead, timeout, retry with backoff, rate limiting, and distributed caching.
• Address consistency, availability, partition tolerance, ordering, duplicate delivery, concurrency, distributed transactions, and failure recovery through explicit design decisions.
• Define service‑level indicators and objectives, health checks, graceful degradation, disaster recovery, multi‑AZ or multi‑region strategies, and capacity plans.

Production Troubleshooting and Observability

• Lead diagnosis and resolution of complex production incidents spanning application code, CLR, databases, messaging, containers, Kubernetes, networks, and AWS services.
• Perform root cause analysis using logs, metrics, traces, thread dumps, heap dumps, profiling, query plans, and distributed correlation IDs; convert findings into preventive actions.
• Define observability standards with OpenTelemetry, CloudWatch, Prometheus, Grafana, and centralized logging, including actionable alerts and operational dashboards.
• Improve incident response through runbooks, failure simulations, post‑incident reviews, automated remediation, and measurable reliability improvements.

Performance and Scalability Engineering

• Engineer systems to achieve explicit latency, throughput, concurrency, availability, and resource‑efficiency targets.
• Lead load, stress, endurance, spike, and scalability testing; analyze bottlenecks across code, CLR, database, cache, network, container, and cloud layers.
• Optimize .NET memory management, garbage collection, thread pools, connection pools, serialization, API payloads, SQL queries, indexing, partitioning, and caching.
• Drive evidence‑based capacity planning and performance benchmarking before production releases.

Security Architecture

• Embed security by design through threat modeling, secure coding, least privilege, zero‑trust principles, vulnerability management, and secure SDLC controls.
• Design authentication and authorization using OAuth 2.0, OpenID Connect, JWT, RBAC/ABAC, IAM roles and policies, and service‑to‑service identity.
• Protect APIs and data using encryption in transit and at rest, secrets management, key rotation, input validation, dependency scanning, audit logging, and abuse prevention.
• Partner with security and compliance teams to address privacy, regulatory, penetration‑test, and remediation requirements.

Cloud, DevOps and Platform Architecture

• Architect AWS solutions using ECS/EKS, Lambda, API Gateway, SQS, SNS, EventBridge, CloudWatch, IAM, DynamoDB, RDS, ElastiCache, VPC, Route 53, and Secrets Manager.
• Define container, Kubernetes, CI/CD, infrastructure‑as‑code, release, rollback, environment, and deployment strategies using automated controls.
• Balance resilience, security, maintainability, operational simplicity, and cloud cost when selecting services and patterns.

Required Technical Expertise:

Area

Required Expertise

C# and .NET

Expert C# 12 and .NET 8, ASP.NET Core, .NET, multithreading, concurrency, CLR internals, design patterns, clean architecture, enterprise integration patterns, and automated testing.

Microservices

Service decomposition, DDD, API design, event‑driven architecture, resiliency, distributed data, service discovery, configuration, and backward‑compatible evolution.

Messaging

Kafka, SQS, SNS, EventBridge or RabbitMQ; delivery semantics, schema evolution, ordering, replay, dead‑letter handling, and idempotent consumers.

Data

PostgreSQL/MySQL/Oracle plus DynamoDB or MongoDB; modeling, query tuning, indexing, partitioning, transactions, replication, caching, and data lifecycle.

Cloud and DevOps

AWS architecture, Docker, Kubernetes, CI/CD, Terraform or CloudFormation, observability, automated testing, deployment strategies, and SRE practices.

Security

Application, API and cloud security; OAuth2/OIDC/JWT, IAM, encryption, secrets, threat modeling, vulnerability remediation, and secure SDLC.

AI and Engineering Innovation :

• Evaluate and integrate AI/LLM capabilities using AWS Bedrock, OpenAI APIs, RAG patterns, embeddings, vector databases, and appropriate guardrails.
• Guide secure and responsible AI integration, including data protection, prompt and output controls, observability, evaluation, cost, latency, and fallback behavior.
• Use AI‑assisted engineering for code understanding, test generation, documentation, troubleshooting, and productivity improvements without weakening engineering controls.

Required Experience :

Experience Area

Total software engineering

12-18 years

C# and .NET enterprise development

10+ years

Microservices and distributed systems

7+ years

Architecture and system design

5+ years

AWS or equivalent cloud architecture

5+ years

Technical leadership and governance

5+ years

Production troubleshooting, performance and security

5+ years

Preferred Qualifications and Competencies :

• AWS Solutions Architect Professional, AWS Security Specialty, TOGAF, CKA/CKAD, or comparable advanced certification.
• Experience with high‑volume platforms, complex modernization, multi‑team architecture governance, and AI‑powered enterprise solutions.
• Exceptional architecture judgment, hands‑on coding depth, analytical troubleshooting, performance mindset, security ownership, communication, and stakeholder influence.