Software Engineering Director

AWTG Ltd.
London
3 weeks ago
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We are seeking an experiencedSoftware Engineering Directorto lead the company’s software and product development, innovation creation and technological vision. The Software Engineering Director will be responsible for driving innovation, managing technical teams, product development roadmap, and ensuring the suitable functionality, scalability and efficiency of our software solutions and leading-edge products in AI-first platforms. The Software Engineering Director will ensure an AI-first development and innovation model for all AWTG products and solutions. As a key member of the executive team, the Software Engineering Director will align technology strategies, corporate vision with business goals, fostering growth and innovation.

Key Responsibilities:

Strategic Leadership:

  • Define and oversee the company's technical vision, strategy, software development, and product roadmap.
  • Align technology initiatives with the company's vision, business objectives and growth strategies.
  • Evaluate and implement emerging technologies to maintain a competitive edge.
  • Implement an AI-first software vision on products, platforms and solutions.
  • Secure internal and external funding for development of new technologies and innovations.
  • Manage P&L for the entire Software Division.
  • Develop products and platforms that are ready to accelerate and sustain growth.
  • Lead revenue generation activities including ensuring that bids and proposals are of top quality.

Team Management:

  • Build, lead, and mentor a high-performing team of developers, engineers, and IT professionals.
  • Foster a culture of innovation, collaboration, and continuous improvement within software engineering and product teams.
  • Improve performance metrics and ensure accountability for meeting deadlines, project goals, product quality and capabilities.
  • Effectively manage multiple teams and projects, both internal products and customer projects.
  • Manage various tools and solutions to ensure high productivity, efficiency and effective task management.

Software Development:

  • Oversee the design, development, and deployment of scalable, secure, and high-quality software solutions.
  • Implement an AI-first software approach.
  • Ensure adherence to best practices in software architecture, coding, and testing.
  • Ensure continuous improvement of products and platforms.
  • Collaborate with various stakeholders and technical teams to define and prioritize features based on technological evolution, discovered innovations, market needs and customer feedback.

Infrastructure and Security:

  • Ensure robust system architecture and IT infrastructure that supports business operations.
  • Oversee cybersecurity measures to protect company and customer data, complying with GDPR requirements.
  • Ensure interworking between on-prem, private cloud and public cloud infrastructure to support platforms and products.
  • Optimize private and public cloud infrastructure, usage and cost, DevOps pipelines, and technical workflows for efficiency.

Budgeting and Resource Allocation:

  • Manage the technology budget, ensuring cost-effectiveness and ROI from tech investments.
  • Manage P&L for the Software Engineering Division.
  • Secure revenues and funding to continuously develop leading-edge products.
  • Evaluate and negotiate with third-party vendors and partners for software and infrastructure services.
  • Operate the Division budget efficiently while balancing cost and quality of deliverables.
  • Ensure that costing on bids and proposals are aligned to development cost and market prices.

Stakeholder Collaboration:

  • Work closely with the CEO/COO, C-suite executives, and stakeholders to communicate technical strategies and progress.
  • Serve as a technical advisor for business development and client engagements.
  • Represent the company at conferences, networking events, and industry discussions.
  • Work with various Divisions and Departments to create products and platforms required for accelerated growth.
  • Collaborate with various teams to produce winning bids and proposals having the right balance between quality, cost and delivery timelines.

Qualifications:

Required Skills and Experience:

  • Proven experience (10+ years) in software engineering, technical leadership, or similar roles, with at least 3 years in a senior management capacity.
  • Strong background in software development, architecture, and systems design.
  • Extensive experience in implementing AI-first software.
  • Proven experience in AI development and AIOps implementation.
  • Experience with various cloud platforms (GCP, AWS, Azure, etc.), DevOps tools.
  • Demonstrated ability to scale technical teams and deliver complex software projects on time and on budget.
  • Experience in creating solutions that have cloud, web, and mobile app components.
  • In-depth knowledge of cybersecurity, data privacy regulations, and compliance standards.
  • In-depth knowledge of various AI methodologies and learning algorithms.
  • Proven experience in various programming languages like Python, Java, React, C#, domain-specific languages, native and cross-platform development, etc.

Soft Skills:

  • Excellent leadership, decision-making, and problem-solving skills.
  • Strong communication and interpersonal abilities to align technical goals with business objectives.
  • Ability to thrive in a fast-paced, dynamic environment while managing competing priorities.
  • Excellent communication and analytical skills.
  • Proven entrepreneurial and innovation skills.

Preferred Qualifications:

  • Experience in Telecoms and technology domains preferred.
  • Experience in developing private-cloud based software products and platforms.
  • Experience in leading-edge technologies such as AI/ML, blockchain, multi-band IoT.
  • Track record of successful fundraising or technical due diligence for grant funding and other investors.
  • Relevant MS or PhD degrees.
  • Proven experience in Agile, Prince 2 Agile and Scrum methodologies.
  • Experience in Generative AI and various LLM implementations.

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