Software Engineer / Senior Software Engineer

Job Description - Software Engineer / Senior Software Engineer

AI-Enabled Logging Platform Modernization (ELK Stack | .NET | AWS)

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