.Net Developer with ELK, Austin TX

.NET with ELK

Austin, TX

Role Overview

We are looking for strong Software Engineers with hands-on experience in ELK Stack, enterprise logging frameworks, .NET 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 on .NET, 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 across .NET, 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 for .NET / .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 of .NET 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 with .NET Framework

3+ years of work experience with Elastic Stack (ELK)