We are looking for an Expert-Level Fullstack Software Engineer with a strong DevOps focus to join our clients team. This role involves enhancing AI-driven tools, automating code review processes, and improving CI/CD pipelines to optimize software development workflows. The ideal candidate should have extensive experience in full-stack development, DevOps practices, and cloud-based architectures.

Key Responsibilities

AI-Driven Development Enhancements

AI Reviewer Automation
Automate code review suggestions for Merge Requests.
Improve context and prompts for AI-driven code analysis.
Expand functionality to general code reviews and direct GitLab suggestions.
(Optional) Develop a VS Code extension to minimize context switching.
AI-Powered Pipeline Failure Analysis
Enhance AI-driven failure detection in CI/CD pipelines.
Integrate failure analysis with SE-GPT AI chat tool.
Fully integrate AI-powered troubleshooting with GitLab.
Automated Documentation Generation
Improve AIs ability to generate documentation using Confluence, Jira, and predefined prompts.
Enrich SE-GPT with documentation templates for structured output.
Enhancements to SE-GPT (Internal AI Chat Tool)
Improve search capabilities using Azure OpenAI & ElasticSearch.
Implement Retrieval Augmented Generation (RAG) for contextual accuracy.
Directly integrate AI-generated code suggestions from Jira tickets.
Build a prompt library to improve AI interactions.
(Optional) Develop a VS Code extension for IDE-level AI interactions.
Metrics & Reporting
Develop custom telemetry tools to monitor AI usage and efficiency.
Implement real-time dashboards using Grafana and Azure Dashboard.
Pilot Testing for AI Tools & IDE Integration
Conduct pilot programs with different AI tools to optimize developer workflows.
Collect feedback to enhance AI-assisted software engineering.

Technical Skills & Experience

Frontend Development:

Full-stack expertise with TypeScript and React for web-based UIs.

Backend Development:

Proven experience developing scalable back-end systems using C# and .NET Core (latest versions).
Expertise in API design and implementation.
Hands-on experience in CI/CD, automated E2E testing, TDD, DDD, Docker, RabbitMQ, and NATS.
Familiarity with data integration tools is a plus.

Microservices & Cloud Architecture:

Proficiency in AKS (Azure Kubernetes Service).
Experience with RabbitMQ, NATS, gRPC, REST, Postgres, and MS SQL Server.

DevOps & Infrastructure Automation:

Strong understanding of source control, automation, virtualization, and build/release best practices.
Hands-on experience with CI/CD tools and GitLab.
Basic knowledge of Kubernetes for container orchestration.
Familiarity with Terraform, Ansible, and Azure Cloud (preferred).

Why Join?