Lead and manage an engineering organization, overseeing team of developers to drive performance and innovation
Build, support and mentor high-performing teams, 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
Collaborate closely with AI specialists to implement LLMs and AI-driven features, leveraging context engineering techniques to optimize model performance and usability
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
Requirements
Overall IT experience in range of 10 – 15 years
Minimum 12 months experience in D2/E grade
Strong communication skills, enabling effective interaction with both technical and non-technical colleagues in a cross-functional environment.
A successful history of delivering software across a diverse range of languages, technologies and platforms with a particular emphasis on AI integrations and their application in real-world scenarios
Excellent collaboration skills to form & drive 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
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 development
Experience with cloud-native software architectures and deploying solutions in cloud environments, ensuring scalability and performance
Proven experience in security-driven design practices, with the ability to address SAST/DAST findings effectively
Proficiency in CI/CD and DevOps practices, including the use of Quality Gates to maintain high code quality
Experience in troubleshooting and leveraging the observability ecosystem, particularly with Datadog, to enhance application performance and reliability
Broad experience across multiple programming languages and frameworks with in-depth skills in at least one of the following: JavaScript, Typescript
Strong experience in one or more of the following frameworks Angular, NodeJS, Express.JS, NestJS
Experience working with the MEAN stack
Experience with Unit Testing and Integration Testing is also essential
Familiarity with AI frameworks and libraries (e.g., LangChain, FastMCP, etc.) is highly desirable
Experience in either of the following middleware is desirable Kafka, Camunda (or any workflow tool), 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 NOSQL databases such as 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 or Microsoft Azure
Benefits
A competitive salary
Employee friendly policies
Health care and insurance for you and your dependants
Healthy Work life balance
A great working environment
Flexible benefits packages to suit your needs and lifestyle
Future career opportunities across a global organisation
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.