Role: Chief Software Engineer and Team Leader

Location: Milton Keynes / London (Hybrid)

Salary Range: -88k - -95K + discretionary bonuses

Active SC Clearance preferred

Responsibilities

Your main responsibilities will be to.

• Oversee the delivery of DRAM and DSR solutions and other software engineering projects such as may arise from time to time.
• Manage and maintain the evolution architecture of the DRAM and DSR systems and services.
• Manage and enable the relationships with partner software development teams and with 3-rd party suppliers.
• Ensure compliance with client and departmental security and cyber security regulations and development paradigms.

Essential Criteria

• Extensive knowledge and experience in Software engineering principles, methods, and techniques especially the constraints of public sector operations including on-premise systems with no internet access, and secure cloud environments.
• Leadership skills to manage, direct and supervise the team and delegate tasks appropriately.
• Project management skills to oversee multiple projects concurrently, ensuring they are completed on time and within budget.
• Strong problem-solving skills to diagnose, troubleshoot, and resolve any technical issues that may arise.
• Excellent communication and interpersonal skills to liaise with other department heads, staff members, and stakeholders.
• Strategic thinking and decision-making skills to make high-level decisions about the technical direction of the company.
• Knowledge of budgeting and financial principles to ensure the engineering department operates within the allocated budget.
• Understanding of the latest industry trends and technologies to keep the company at the forefront of its field.
• Familiarity with industry-related regulations and quality standards to ensure compliance.

Desirable Criteria

• Experience of working with analytical systems include data science activities, interfacing and integrating data science solutions into primary software environments.
• Experience and awareness of AI, Machine Learning, Generative AI and ML-Operations.
• Working within the Public Sector either embedded or as supplier.
• Secure Public and Private Cloud experience.
• Virtualisation and Containerisation techniques, technologies, risks and opportunities