Software Engineering

IntoneCCM; Dallas (TX); Sur place; USD 83 000 - 138 000; Plein temps

Résumé du poste

Intone Inc in Dallas, TX seeks a Software Engineering Tech Lead for a 6-month on-site contract to guide teams in building, integrating, and operationalizing AI-driven solutions. You will provide technical leadership across architecture, development, testing, deployment, and production operations while collaborating with stakeholders, Solution Architects, and leadership.

The role focuses on AI and data-driven initiatives, including DPE integrations and AI for crew negotiations, emphasizing

Qualifications

• Expert-level experience in software engineering with breadth and depth.
• Experience leading software engineering teams.
• Advanced knowledge of at least one programming language and working knowledge of additional languages.
• Strong understanding of software architecture, design patterns, development methodologies, testing, and deployment.
• Experience with cloud technologies, APIs, system integrations, and modern software engineering practices.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder-management skills.
• Ability to communicate technical solutions and business value to senior leadership.
• Experience working in fast-paced, enterprise-level environments.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent advanced experience.

Responsabilités

• Lead and mentor a team of software developers in planning, delivery, and operation of reliable software applications.
• Provide technical leadership and ensure quality, scalability, maintainability, and performance of solutions.
• Partner with Solution Architects to create and review designs.
• Provide accurate development estimates and support feasibility and planning.
• Design, develop, review, and maintain high-quality software with modern engineering practices.
• Develop and execute automated unit, functional, and integration tests.
• Provide oversite for performance testing and non-functional requirements.
• Plan and oversee deployments across non-production and production environments.
• Identify opportunities to leverage AI, data, cloud, and analytics technologies.
• Address technical debt while balancing development effort with business value.
• Mentor developers on architecture, design, coding standards, testing, DevOps, and operations.
• Translate business requirements into effective technical solutions.
• Communicate risks, options, and business value to technical and non-technical audiences.
• Influence technical decisions without direct authority.
• Lead multiple initiatives concurrently with delivery commitments.
• Integrate AI insights into operational apps and workflows.

Connaissances

Team leadership

Software engineering

Programming languages

Software architecture

Design patterns

Development methodologies

Testing & deployment

Cloud technologies

APIs

System integrations

Analytical thinking

Stakeholder management

Executive communication

Enterprise environments

AI/ML experience

Generative AI

Python

Java

JavaScript/TypeScript

AWS

Formation

Bachelor's degree in Computer Science or related field

Description du poste

This is a contract position for a Software Engineering Tech Lead based in Dallas, Texas, working onsite for a 6-month duration. We are seeking an experienced technical leader to guide software development teams in building, integrating, and operationalizing AI-driven solutions. You will provide technical leadership across architecture, application development, system integration, testing, deployment, and production operations while collaborating closely with business stakeholders, Solution Architects, engineering teams, and senior leadership.

The role will support AI and data-driven initiatives, including Delay Propagation Engine (DPE) Integrations and AI for Crew Negotiations, with a strong focus on delivering scalable, reliable, maintainable, and production-ready solutions.

Responsibilities

• Lead and mentor a team of software developers in the planning, development, delivery, and operation of highly reliable software applications.
• Provide technical leadership and ensure the quality, scalability, maintainability, and performance of software solutions.
• Partner with Solution Architects and shared-services teams to create, review, and approve application designs.
• Provide accurate development estimates and support project feasibility and planning activities.
• Design, develop, review, and maintain high-quality software using modern engineering practices.
• Develop and execute unit, functional, and integration testing with an emphasis on automation and test-driven development.
• Provide technical oversight for performance testing and ensure solutions meet defined non-functional requirements.
• Plan and oversee application deployments across non-production and production environments.
• Identify opportunities to leverage emerging technologies, particularly AI, data, cloud, and analytics technologies, to improve business and engineering outcomes.
• Identify and address technical debt while balancing development effort with business value.
• Mentor developers on architecture, design, coding standards, testing, DevOps, and operational practices.
• Collaborate with business and technical stakeholders to translate business requirements into effective technical solutions.
• Communicate technical concepts, risks, options, recommendations, and business value to both technical and non-technical audiences.
• Influence technical decisions across teams and leadership without direct authority.
• Lead multiple initiatives concurrently while maintaining delivery commitments.
• Integrate DPE insights into existing operational applications and workflows, supporting system integrations, data orchestration, and user-facing decision-support capabilities.
• Scale AI-driven capabilities toward production-ready solutions while ensuring reliability, performance, maintainability, and operational readiness.
• Support AI and analytics solution architecture for crew negotiation initiatives, including platform and application integration, data governance, and semantic data-layer integration.
• Collaborate with business stakeholders, analytics teams, and platform engineering teams on AI and analytics application development and production deployment.

Qualifications

• Required
  • Expert-level experience in software engineering with broad and deep knowledge of software development practices and technologies.
  • Strong experience leading software engineering teams.
  • Advanced knowledge of at least one programming language and working knowledge of additional programming languages.
  • Strong understanding of software architecture, design patterns, development methodologies, testing, and deployment.
  • Experience with cloud technologies, APIs, system integrations, and modern software engineering practices.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder-management skills.
  • Ability to communicate technical solutions and their business value to senior leadership and non-technical stakeholders.
  • Experience working in fast-paced, enterprise-level environments.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent advanced experience.
• Preferred
  • Experience with AI/ML, data platforms, analytics, or AI-enabled applications.
  • AI/ML and Generative AI expertise.
  • Python, Java, JavaScript/TypeScript, or similar programming languages.
  • AWS or other cloud technologies.
  • Datab