Senior Software Engineer (AI-Assisted Development)

Uplers
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

PHP
API
Artificial Intelligence
Amazon Web Services (AWS)
Confluence
JIRA
Automation of Tests
Unit Testing
Static Program Analysis
Code Coverage
Databases
Continuous Integration
Control Panels
Software Debugging
Software Design Patterns
Programming Tools
DNS
Elasticsearch
Github
Human-Computer Interaction
PostgreSQL
MySQL
RabbitMQ
Redis
Prometheus
Software Engineering
Symfony
Web Services
Enterprise Software Applications
React
Large Language Models
Grafana
Technical Debt
Backend
Kubernetes
Information Technology
Codebase
Front End Software Development
Virtual Agents
Api Design
Code Restructuring
Docker
Legacy Systems
Go

Job description

You will be joining a Technology department and work with our main products: RCP (Reseller Control Panel), which is the main user interface our customers interact with Domains & DNS, including all domain related features like domain registration, domain checker, domain transfers and trades, domain related APIs and integrations with third party platforms like WHMCS, Blesta, etc., We are looking for a strong hands-on senior engineer with deep experience in our technical stack (PHP, Go, React) who can understand and navigate large legacy systems, generate structured context from existing codebases, leverage AI tools responsibly for refactoring and modernization, and enable the engineering team to adopt AI-driven workflows to improve agility and robustness., _We are seeking a skilled Senior Software Engineer to join our team and provide support in managing back-end processes. As a Senior Software Engineer, you will be responsible for designing, developing and maintaining high-level software that meet our business requirements., Codebase Modernization & Refactoring

  • Analyze and understand existing PHP and Go services.
  • Identify technical debt, architectural bottlenecks, and performance risks.
  • Design and implement structured refactors to improve scalability, maintainability, and security.
  • Leverage AI tools to accelerate refactoring and system redesign responsibly.

AI-Enabled Engineering Workflows

  • Build structured context pipelines to help AI understand systems.
  • Develop internal workflows for safer refactors, improved unit testing, and debugging acceleration.
  • Establish guardrails to ensure AI-generated code meets quality and security standards.

Enterprise System Design

  • Design APIs and services in PHP (Symfony) and Go.
  • Maintain architectural standards (SOLID, clean architecture).
  • Improve observability and operational stability.
  • Ensure alignment with ISO 27001 and security best practices.

Team Enablement

  • Mentor engineers in AI-assisted coding practices.
  • Define practical AI usage guidelines.
  • Drive measurable productivity improvements without compromising quality., * Backend: PHP 7+, Symfony, Go
  • Frontend: React
  • Databases: MySQL, PostgreSQL
  • Messaging & Cache: RabbitMQ, Redis, Elasticsearch
  • Infrastructure: Docker, Kubernetes (GKE), GCP, AWS
  • Tooling: GitHub, GitHub Actions, Jira, Confluence, Prometheus, Grafana

What Success Looks Like (First 12 Months)

  • Legacy modules safely refactored or re-architected.
  • Improved test coverage across critical systems.
  • Clear AI usage guidelines adopted across teams.
  • Reduced debugging and refactoring cycles.
  • Measurable improvement in engineering agility.

Requirements

  • 5+ years of strong backend engineering experience.
  • 1+ years of AI agent assisted software development experience
  • Deep hands-on experience in PHP (Symfony) and/or Go.
  • Strong API design experience (REST, gRPC exposure preferred).
  • Solid database knowledge (MySQL/PostgreSQL).
  • Experience with Redis, RabbitMQ, Elasticsearch.
  • Docker, Kubernetes, CI/CD pipelines.
  • GCP or AWS deployment experience.
  • Practical experience using LLM tools in engineering workflows.
  • Strong understanding of SOLID, design patterns, and refactoring strategies., * Bachelor's degree in Computer Science, Engineering or related field.
  • Experience building developer tooling (CLI tools, IDE extensions).
  • Experience with AST parsing or static analysis tools.
  • Experience implementing automated test generation.
  • Experience building guardrails for AI-generated code.
  • Exposure to orchestration frameworks like LangChain or LangGraph.

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