Manager Software Engineering

Lead and manage cross-functional engineering teams (application, platform, systems, quality, and database engineers).

Has strong AI native engineering skills and experience to train and lead the teams

Own end-to-end delivery of engineering initiatives, ensuring predictable execution and high quality.

Balance speed, quality, reliability, and cost across cloud-native platforms and applications.

Ensure engineering work aligns with product strategy, architectural direction, and business priorities.

Directly manage and develop senior and lead engineers across multiple disciplines.

Foster a culture of accountability, collaboration, and continuous improvement.

Provide coaching, feedback, performance management, and career development guidance.

Support hiring, onboarding, and team scaling efforts.

Promote diversity, inclusion, and psychological safety within teams.

Act as a primary engineering point of contact for Product Management, Architecture, SRE, Security, and Business stakeholders.

Translate business goals into clear engineering plans and execution strategies.

Communicate effectively with technical and non-technical audiences, including leadership updates and risk discussions.

Proactively manage expectations, dependencies, and cross-team coordination.

Provide technical leadership and guidance without micromanaging implementation.

Ensure strong engineering practices across: Cloud-native application development Good experience in AI Product building Strong knowledge and experience in AI native SDLC Platform and systems engineering CI/CD and automation Quality engineering and testing Database and data platform operations

Cloud-native application development

Good experience in AI Product building

Strong knowledge and experience in AI native SDLC

Platform and systems engineering

CI/CD and automation

Quality engineering and testing

Database and data platform operations

Drive architecture reviews, technical decision forums, and standards adoption.

Ensure systems meet expectations for security, scalability, reliability, and compliance.

Own operational readiness, including incident response, root cause analysis, and remediation tracking.

Partner with teams to reduce technical debt and operational toil.

Ensure documentation, runbooks, and operational processes are in place.

Drive cost-aware engineering and cloud spend accountability.

Proven experience leading multi-disciplinary engineering teams (application, platform, systems, quality, data).

Strong people management skills, including coaching, performance management, career development, and hiring.

Excellent written and verbal communication skills, with the ability to influence and align diverse stakeholders.

Strong experience managing product, architecture, and business stakeholders.

Ability to translate business objectives into clear engineering execution plans.

Experience delivering complex, cloud-based systems using Agile methodologies.

Strong ownership mindset with accountability for outcomes, not just execution.

Strong hands-on experience designing and building enterprise-grade applications using Java programming stack.

Strong experience in AI embedded application stack and modern AI technologies.

Proven experience building microservices-based architectures, including RESTful APIs, grpc and distributed systems.

Hands-on experience working with SQL and NoSQL databases, including data modelling and integration.

Solid understanding of cloud-native application design, scalability, resiliency, and fault tolerance.

Experience with CI/CD pipelines, automation, and modern DevOps practices.

Familiarity with Google Cloud Platform (GCP) or equivalent public cloud environments.

Ability to engage deeply in technical discussions, review designs, and make informed architectural trade-offs.