Jobs at Deeplight AI

The AWS Glue Data Engineer will migrate source systems to the Lakehouse, build and optimize ingestion pipelines, and ensure data quality and compliance, collaborating closely with various teams.

The Senior Cloud Solutions Architect will design secure, scalable cloud-native banking platforms on Azure and AWS, ensuring compliance with banking regulations while guiding engineering teams in implementation.

The Senior AWS Platform Engineer will architect and deploy AWS environments, manage AI/ML services, standardize deployments, and oversee cloud costs while ensuring seamless integration within the enterprise architecture.

The Senior Azure Platform Engineer will architect and deploy secure and automated Azure infrastructures, manage Azure AI services, and ensure cost-effective operations while leading FinTech integration projects.

The Specialist - Vulnerability Management will assess, prioritize, and track vulnerabilities in a banking environment, ensuring compliance with security policies and regulations.

Lead the design and implementation of security controls in banking environments, ensuring compliance and technical integrity across systems while mentoring other engineers.

The role involves defining technical cyber strategies, leading engineering delivery squads, managing client relations, and optimizing security initiatives within a financial institution.

The Senior Specialist for SOC Threat Intelligence analyzes cyber threats, implements detection capabilities, monitors adversary tactics, and supports incident response within a bank's SOC.

Responsible for designing, developing, and maintaining enterprise-grade Power BI dashboards and reports, translating cybersecurity data into actionable insights for executives within a banking environment.

The role involves managing cloud security vulnerabilities for a banking client, overseeing vulnerability management, collaborating with engineering teams, and producing risk reports.

The Senior Manager - Platform SDLC Engineer leads Secure Software Development Lifecycle practices, integrating security within CI/CD pipelines, managing delivery, and coaching teams in a banking context.

The Executive Manager leads AI cybersecurity governance, risk management, and compliance initiatives for a banking client, ensuring adherence to regulations and strategic objectives. Responsibilities include establishing frameworks, conducting audits, managing risks, and effectively engaging stakeholders while coaching teams towards excellence.

The DataOps Engineer will oversee the Lakehouse environment, managing incidents, monitoring data pipelines, conducting root cause analysis, and ensuring data quality and operational integrity.