Senior Software Engineer | Cosmik System Careers

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.

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