Software Development Manager - Customer API
Posted 2 hours 53 minutes ago by WeAreTechWomen
Permanent
Full Time
I.T. & Communications Jobs
Hertfordshire, Welwyn Garden City, United Kingdom, AL7 1
Job Description
As a Software Engineering Manager, you'll guide a collaborative team building reliable, modern software solutions. You'll help shape our technical direction, mentor engineers, and make thoughtful use of AI tools to improve how we work. This role is ideal for someone who values teamwork, clarity, continuous learning, and a healthy, inclusive culture.
Team & People Leadership- Lead a collaborative, and high performing engineering team.
- Support engineers in their growth with regular coaching, clear goals, and constructive feedback.
- Foster an inclusive environment where every voice is heard and valued.
- You will be hiring, onboarding, and building a diverse team.
- Oversee end to end delivery of software built with Java, Spring Boot, Typescript, and related technologies.
- Work with Product and Architecture teams to design simple, scalable solutions.
- Promote modern engineering practices such as CI/CD, clean code, and cloud native patterns.
- Ensure systems are reliable, well tested, and easy to maintain.
- Champion AI tools that boost productivity
- Help the team learn how to use AI safely, responsibly, and confidently.
- Identify areas where automation or AI can reduce manual work or improve user experience.
- Experience delivering Java 8+ or JVM based applications using Spring Boot, Spring WebFlux, or Kotlin.
- Understanding of cloud platforms (Azure preferred).
- Knowledge of software design and architectural patterns.
- Comfortable with DevOps practices (CI/CD, configuration management, deployment patterns).
- Experience with Docker, Kubernetes, and cloud native development.
- Strong understanding of Agile/Scrum.
- A supportive leadership style that encourages trust, growth, and wellbeing.
- Strong communication and collaboration skills.
- Curiosity, openness to learning, and excitement about modern engineering and AI.
- A balanced, thoughtful approach to technical decision making.