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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