Senior Manager Software Development

Key Responsibilities:

The ideal candidate will manage development teams, oversee architecture decisions, and ensure scalable, high-quality delivery aligned with business objectives.

This leader is expected to guide software engineers through solving ambiguous and complex problems. They will champion an AI-first approach and bring deep experience in migrating and modernizing legacy applications using cloud-native, modular architectures and emerging technologies.

We are looking for someone with an established background in delivering highly scalable systems and a strong operational track record while working across multiple teams. This role provides the autonomy and ownership needed to innovate and solve the industry's most difficult problems.

Leadership & Team Management

• Passion for mentoring and developing engineering talent:
  • Lead and mentor a team of developers, architects, and analysts.
  • Set very high standards for the team and in hiring talent.
• Manage end-to-end project delivery.
• Establish development standards, governance, and best practices.
• Demonstrated ability to lead and drive cross-functional teams.
• Collaborate with stakeholders, product owners, and cross-functional teams.
• Drive organizational goals and engineering strategic initiatives.

Delivery & Project Management

• Drive Agile development processes and sprint planning.
• Ensure high-quality code through reviews and adherence to development standards.
• Manage timelines, risks, dependencies, and delivery milestones.
• Ensure projects meet performance, scalability, and security requirements.
• Coordinate with QA teams for testing strategies and release management.

Required Qualifications

Education:

• A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field is required. A strong academic record from a premier engineering or business institution is preferred
• Knowledge of Appian is desirable.

Experience:

• 15+ years of experience in software engineering.
• Proven track record in building and scaling distributed systems, preferably in cloud-native environments and modernization of platforms.
• AI/ML adoption.
• Proven experience leading development teams.
• Strong knowledge of enterprise application architecture.
• Leading engineering teams and managers.

Technical Skills:

• Deep Understanding software engineering, Algorithms and Data Structures
• Experience in AI Adoptability and usage and ML is highly desirable
• Proficiency in any programming Language (Java, C++, Python, other programming languages)
• Working knowledge of container technologies, orchestration frameworks (e.g., Kubernetes), and workflow automation.
• Familiarity with GPU computing and hybrid CPU/GPU architectures.
• Strong grasp of software development best practices, CI/CD, and DevOps principles.