Sr. Engineering Manager

Software Development Engineering Manager

Role Direction and Impact

The Software Development Engineering Manager will be a critical leadership role in our engineering organization. This person will not only manage and grow engineering teams but also remain hands-on with technical guidance and strategic execution.

Key Responsibilities

Lead, mentor, and manage a team of engineers, fostering growth and accountability.

Define and follow thru technical KPIs, strategy, architecture, and roadmap.

Collaborate cross-functionally team with product, design, QA, infosec, professional services, and stakeholders.

Champion best practices in development, ensuring code quality, scalability, and maintainability.

Drive a culture of innovation and continuous improvement.

Provide hands-on technical guidance and support in design and coding when necessary.

Own project delivery end-to-end, ensuring milestones are met.

Recruit, onboard, and retain top engineering talent.

Monitor project risks and implement mitigation strategies.

Stay updated on emerging technologies and industry trends to keep the team competitive.

Technical Requirements & Key Skills

Technical Background : Strong foundation in software engineering with hands-on coding experience.

Software Development Expertise : Deep understanding of software design, architecture, algorithms, and system design.

Leadership & Management : Proven track record of managing teams of engineers (3+ members). Experience managing high-performance teams and driving results

Modern Practices : Familiarity with Agile, DevOps, CI / CD pipelines, and modern development tools.

Cloud & Infrastructure : Experience with AWS, GCP, or self-managed data centres.

Programming Languages : Proficiency in at least one modern language (Python, Java, C++, etc.).

Database Knowledge : Hands on experience SQL databases.

Project Ownership : Demonstrated ability to take projects from concept to production.

Plus Skills : Containerization (Docker, Kubernetes), microservices, distributed systems, data-driven decision-making. OLAP databases. Employee engagement program. Design review evaluations. Big data processing.