Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team's technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team's technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence. Understand CI/CD pipelines from build, test, to deploy phases. Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. Proven track record of leading and delivering large-scale, complex software projects. Deep expertise in one or more programming languages such as C#, .NET, Python, Java, or JavaScript, angular Extensive experience with software architecture and design patterns. Strong understanding of cloud technologies and DevOps principles. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. We thrive on in-person collaboration and work in a hybrid model. 3 days per week in the office is required. Master's degree or PhD in Computer Science, Engineering, or a related technical field. Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Demonstrated commitment to diversity and inclusion initiatives. Familiarity with developing accessible technologies.
