Senior Director, Software Engineering
New
United StatesFull-TimeDirector
Salary240,000 - 260,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- AWSArtificial IntelligenceGCPMachine LearningMicroservicesGenerative AIDistributed Systems
Requirements
- 10+ years of software engineering leadership experience, including significant experience leading managers and large engineering organizations.
- Proven expertise building and scaling distributed systems, APIs, microservices, and high-availability cloud-native platforms.
- Strong technical background with deep experience in AWS, GCP, or other enterprise cloud ecosystems.
- Experience working with machine learning infrastructure, AI-driven systems, and Generative AI technologies.
- Demonstrated success leading globally distributed or remote engineering teams within fast-paced technology organizations.
- Strong strategic thinking skills with the ability to translate complex business priorities into scalable technical execution plans.
- Excellent cross-functional collaboration and executive communication abilities.
- Experience in fraud prevention, authentication technologies, identity management, or voice biometrics is highly valued.
- Strong leadership presence with the ability to navigate ambiguity, drive execution, and build trusted relationships across teams.
Responsibilities
- Define and execute the technical vision and long-term engineering strategy for large-scale fraud detection and identity verification platforms.
- Lead and scale high-performing software engineering teams, including managing leaders across distributed and remote environments.
- Drive the delivery of reliable, high-quality distributed systems and microservices operating across multi-cloud infrastructures such as AWS and GCP.
- Partner cross-functionally with product, research, security, and executive stakeholders to align platform capabilities with customer and business priorities.
- Establish engineering standards, architectural best practices, and operational excellence frameworks to ensure scalability, performance, and security.
- Guide teams in the responsible adoption and integration of AI, machine learning, and automation technologies into core platform capabilities.
- Improve engineering productivity, delivery predictability, and system resilience while fostering a collaborative and innovative engineering culture.
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