Chief Software Engineer and Team Leader

Milton Keynes
1 week ago
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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

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