Engineering Manager

Job summary

Reporting To Chief Technology Officer Location & Working Pattern Oldham Hybrid, minimum of two days per week in the office Hours 37.5 hours per week, core hours 9:30am – 4:00pm Monday to Friday About Us Vel*** provides innovative digital transformation solutions and specialist consultancy in operational efficiency, safety and customer service excellence.

Benefits

Responsibilities

• As Engineering Manager, you will lead a team of software engineers as a dedicated people and delivery leader.
• You will keep enough technical depth to guide architectural decisions, hold the team to a high standard and ask the right questions to enable the engineering team to achieve outstanding results.
• You will help the team work efficiently, collaborating with product and project teams aligning your team workload to delivery timescales and escalating issues to the Chief Technology Officer as needed.
• You will also support the embedding of AI-assisted development
• Guide the technical direction and architecture for your area, ensuring key design decisions and trade-offs are made by the right people, well-reasoned and properly documented.
• Line-manage a team of c.7 software engineers: regular 1:1s, objective setting, performance reviews, and identifying and addressing performance challenges, providing further support where required.
• Define and uphold coding standards, patterns and best practice across the team, reviewing code to ensure delivery of reliable, secure and maintainable software.
• Act as the escalation point for production and technical incidents affecting your area, driving root-cause analysis and follow-up improvements.
• Represent engineering in cross-functional planning, translating product and business priorities into a realistic technical roadmap for the team.
• Own the quality and currency of the team's technical documentation, wikis and release notes across all stages of the Software Development Lifecycle.
• Establish and sustain a culture of code and architecture review, continuous learning and knowledge sharing across the team.
• Developing the understanding and use of AI within the engineering team.

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