.Net Developer with ELK

.NET with ELK

Austin TX

Role Overview

We are looking for strong Software Engineers with hands-on experience in ELK Stack enterprise logging application ecosystems and AI-assisted development practices to support a strategic logging modernization initiative. The team will work on consolidating and migrating multiple application logging frameworks into a unified ELK-based observability platform. Most applications are built Angular and AWS-based architectures. The role requires expertise in scalable logging architectures Kibana dashboards log ingestion pipelines and modern Agentic AI-driven development practices.

Key Responsibilities

Design develop and migrate enterprise logging frameworks into a centralized ELK (Elasticsearch Logstash Kibana) platform

Implement observability and logging standards Angular and AWS-based applications

Build scalable log ingestion parsing indexing and visualization pipelines

Standardize structured logging patterns across distributed systems and microservices

Integrate application logs infrastructure logs and cloud-native monitoring into a unified platform

Develop dashboards alerts and monitoring capabilities using Kibana

Optimize Elasticsearch clusters for performance scalability and reliability

Enable operational intelligence through centralized logging analytics and observability

Collaborate with platform engineering DevOps SRE and cloud teams for rollout and adoption

Leverage AI-assisted / Agentic development approaches for automation code generation debugging and operational productivity

Support CI/CD integration and automation for observability deployment workflows

Required Skills

Strong hands-on experience with Elasticsearch Logstash Kibana Beats / Fluentd / Fluent Bit

Experience implementing logging solutions / .NET Core and Angular applications

Strong understanding of distributed systems and microservices architectures

Experience with structured logging frameworks such as Serilog NLog Log4Net

Strong understanding application architecture and troubleshooting

Experience with REST APIs and log ingestion pipelines

Hands-on AWS experience including CloudWatch ECS/EKS Lambda API Gateway and S3

Kubernetes and containerized platform experience

Experience using AI-assisted engineering tools (OpenAI/Copilot/GenAI-based developer tools)

Ability to leverage Agentic development approaches for automation and operational productivity

Preferred Qualifications

Experience in enterprise observability or logging modernization programs

Experience migrating legacy/on-prem logging systems to cloud-native ELK platforms

Exposure to OpenTelemetry and distributed tracing

Experience in platform engineering or SRE environments preferred

Knowledge of AIOps and observability analytics is a plus

Soft Skills

Strong analytical and troubleshooting abilities

Excellent collaboration and communication skills

Ability to work in fast-paced engineering transformation programs

Proactive mindset focused on automation and continuous improvement

Requirements added by the job poster

3 years of work experience with Amazon Web Services (AWS)

6 years of work experience Framework

3 years of work experience with Elastic Stack (ELK)