Lead Software Engineer

Lead Software Engineer at Marsh

As a Lead Software Engineer at Marsh, you will play a pivotal role in our strategic engineering group, championing best practices, quality, and our overarching engineering vision in the rapidly evolving landscape of technology. As a respected leader within the engineering community, you will serve as a role model for your peers, guiding and inspiring other engineers to embrace innovation, particularly in the realm of artificial intelligence.

This hands-on position requires you to be a product builder who leads by example, ensuring the successful delivery of solutions that adhere to the principles of Qualitative Engineering, which include:

• Security
• Scalability
• Reliability
• Maintainability
• Testability
• AI Integration

In a transformative organizational environment, you will act as a catalyst for change, advocating for a servant leadership style that prioritizes the needs of your team. Your primary goal will be to nurture and develop the talents of your engineers, fostering a strong future for our engineering organization while encouraging the exploration and integration of AI technologies to drive innovation and efficiency.

Key Responsibilities:

• Lead and manage an engineering team, overseeing multiple engineers to drive performance and innovation.
• Build, support, and mentor a high-performing team, fostering an environment that encourages professional growth and maximizes individual potential.
• Write high-quality, maintainable code based on Agile user stories, including unit tests that comply with established coding standards and guidelines, while leveraging AI development productivity tools such as GitHub Copilot to enhance coding efficiency.
• Integrate AI solutions into existing products and new developments, ensuring alignment with organizational goals and enhancing overall product functionality.
• Actively participate in the MMC Technology community, contributing to discussions, collaborations, and learning opportunities related to AI and software development best practices.
• Demonstrate strong problem-solving skills and promote the principles of code reuse and modular design across teams and the organization.
• Advocate for best practices in software development and AI integration, ensuring that the team remains at the forefront of technological advancements.
• Work in partnership with the Lead Test Engineer to develop and implement a robust Test Engineering Strategy that incorporates AI-driven testing tools and methodologies.
• Champion agile practices that are foundational to successful product delivery, encouraging iterative development and continuous improvement.
• Foster a diverse, inclusive, and collaborative work environment where all ideas and opinions are valued, promoting innovation and creativity.
• Build strong relationships with product owners, solutions architects, analysts, and leadership to ensure alignment with business objectives and the effective integration of AI capabilities into the development process.
• Contribute to thought leadership and strategic direction for the Software Engineering organization.

What You Need to Have:

• Strong communication skills, enabling effective interaction with both technical and non-technical colleagues in a cross-functional environment, facilitating collaboration on AI-driven projects.
• A successful history of delivering software across a diverse range of languages, technologies, and platforms.
• Excellent people management skills, with the ability to build collaborative and innovative teams that embrace AI and machine learning as integral components of the development process.
• Experience in providing opportunities, training, and mentorship to software engineers, particularly in the areas of AI, machine learning, and prompt engineering techniques.
• Familiarity with Agile at Scale, Lean, and Continuous Delivery methodologies, including Continuous Integration, Test-Driven Development, and Infrastructure as Code, with an understanding of how these practices can enhance AI development.
• Experience with cloud-native software architecture and deploying AI solutions in cloud environments, ensuring scalability and performance.
• Proven experience in security-driven design practices, with the ability to address SAST/DAST findings effectively, particularly in the context of AI applications.
• Proficiency in CI/CD and DevOps practices, including the use of Quality Gates to maintain high code quality, especially when integrating AI components into the software lifecycle.
• Experience in troubleshooting and leveraging the observability ecosystem, particularly with Datadog, to enhance application performance and reliability.

Technical Skills Required:

• Broad experience across multiple programming languages and frameworks with in-depth skills in at least one of the following: JavaScript, Typescript.
• Strong experience in the following frameworks: Angular, NodeJS, ExpressJS, NestJS.
• Experience with Unit Testing and Integration Testing is also essential.
• Experience of the following middleware is desirable: Kafka, NServiceBus, Camunda, Dremio, RabbitMQ.
• Experience with container technologies such as Docker and Kubernetes.
• Practiced experience refactoring, implementing design patterns, design driven development, continuous integration, system and application design, application security.
• Strong experience working with an ORM Framework including the use of TSQL and NOSQL databases such as MSSQL and Mongodb.
• Strong Knowledge of SDLC processes and practices and experience with some or all of Confluence, JIRA, ADO, Github etc.
• Experience designing and deploying applications on cloud infrastructure with providers such as AWS and Microsoft Azure.
• Experience working with the MEAN stack.

Why Join Our Team:

We help you be your best through professional development opportunities, interesting work, and supportive leaders; We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact for colleagues, clients, and communities; Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being; A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary); 30+ days off (including legal days, birthday, public holiday replacements, and benefits options); Performance bonus scheme; Matching charity contributions, charity days off, and the Pay it Forward charity challenge; Core benefits: Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance.

Key skills/competency

• Software Engineering Leadership
• Artificial Intelligence Integration
• Agile Methodologies
• Cloud-Native Architecture
• DevOps & CI/CD
• Team Mentorship
• Scalable System Design
• JavaScript/TypeScript Development
• Data Security
• Observability (Datadog)