.NET with ELK
LPL
Austin, TX
Rate : $80/hr on c2c
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
