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Lead Software Engineer

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Onsite

Lead Software Engineer

The Phoenix Group

Lead Software Engineer

Skills

Google Cloud PlatformDockerTypescriptDjangoFlaskPythonC#.NETGitLabJenkinsAIAWSGitHubKubernetesFastAPIComplianceRisk ManagementJavascriptTerraformAzure

12 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

10 October 2026

What they need


Role Overview

This senior software development leadership position involves architecting, developing, and maintaining advanced legal applications, AI-powered features, and automation systems. The successful candidate will directly contribute to building scalable, secure, and efficient software solutions while guiding a specialized tech team. This role offers the opportunity to influence cutting-edge AI integration and system architecture in a dynamic, regulated environment.

Key Responsibilities

  • Lead end-to-end design, development, and deployment of custom legal and AI-driven applications, from requirements analysis to production support
  • Architect, implement, and optimize CI/CD pipelines using tools like GitHub Actions, Jenkins, or GitLab CI to facilitate rapid, reliable software releases
  • Design, deploy, and manage containerized environments (Docker, Kubernetes) supporting scalable and portable applications in cloud or hybrid infrastructures
  • Champion responsible AI development practices, including integrating large language models (LLMs), RAG pipelines, and agentic workflows into legal software solutions
  • Develop and refine evaluation methodologies for AI system quality, including accuracy assessment, hallucination risk mitigation, and compliance with security standards
  • Mentor developers through code reviews, pairing, and technical coaching, emphasizing Python best practices and full lifecycle development skills
  • Collaborate with legal professionals and IT leadership to translate business needs into robust technical solutions
  • Identify, prioritize, and remediate technical debt, security vulnerabilities, and system bottlenecks within critical software environments
  • Lead design and implementation of AI/LLM-powered features, such as document classification, e-discovery automation, and AI-assisted legal research tools
  • Conduct comprehensive testing (unit, integration, and end-to-end) to ensure high-quality deliverables in regulated industry environments

Core Qualifications & Requirements

  • Bachelor’s degree in computer science, software engineering, or related field; equivalent practical experience acceptable
  • 7+ years of professional software development experience with at least 2+ years in a senior or lead role
  • Extensive hands-on expertise in Python, including frameworks such as Django, FastAPI, and Flask
  • Proven track record across the full software development lifecycle—requirements gathering, architecture, coding, testing, deployment, and support
  • Strong experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
  • Deep expertise in containerization and orchestration technologies (Docker, Kubernetes) for scalable, portable environments
  • Experience integrating AI APIs/models (e.g., OpenAI LLMs, Claude, Harvey) into production legal applications
  • Proficiency in web technologies, including TypeScript/JavaScript, and familiarity with frameworks like NextJS (preferred)
  • Cloud deployment experience across Azure, AWS, or Google Cloud, with a focus on security compliance in regulated sectors
  • Familiarity with MLOps practices, model lifecycle management, and infrastructure-as-code (Terraform, Bicep, CloudFormation)
  • Knowledge of legal or financial industry security standards, with experience supporting sensitive data workflows and e-discovery processes

Nice-to-Have Qualifications

  • Master’s degree in a related field
  • .NET development experience (C#, ASP.NET Core), especially in legacy or migration projects
  • Experience with Microsoft 365 integrations, including Microsoft Graph and Copilot
  • Building RAG pipelines, multi-agent systems, or agentic workflows
  • Knowledge of legal, financial services, or other highly regulated industries with stringent security requirements
  • Experience with MLOps pipelines and model lifecycle management tools

Core Technical Skills

  • Python (Django, FastAPI, Flask) | AI/LLM APIs (OpenAI, Claude, Harvey) | CI/CD (GitHub Actions, Jenkins, GitLab CI) | Docker | Kubernetes | Cloud Platforms (Azure, AWS, Google Cloud) | TypeScript/JavaScript | Web frameworks (NextJS) | Infrastructure as Code (Terraform, Bicep, CloudFormation) | MLOps | Security Standards in Regulated Environments

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