Description

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

Key Skills

Education

Any Graduate