Lead the design, development, and delivery of enterprise-scale, cloud-native, data-intensive platforms with a strong emphasis on AI/ML integration to drive innovation and business value.
Requirements
- AWS, Azure, Microservices, Kafka
- Databricks, Snowflake, RedShift, EMR, Kinesis
- .NET Core, FastAPI, Apigee
- React, Angular, JavaScript
- Azure AD, OKTA, OneLogin
- ElasticSearch, SOLR, OpenSearch
- Tableau, Power BI, AWS QuickSight
- Demonstrated experience in AI/ML solution design and implementation, including model development, deployment, and MLOps.
- Strong understanding of data governance, security, and compliance in regulated environments.
Responsibilities
- Define and execute the engineering strategy across cloud, data, and AI/ML domains.
- Lead the design and implementation of secure, scalable platforms that support real-time data processing and analytics.
- Architect and deliver secure, scalable, and resilient cloud-based solutions (AWS/Azure) with a focus on data platforms, APIs, and streaming technologies.
- Drive the adoption and integration of AI/ML capabilities into products and platforms to enhance automation, analytics, and decision-making.
- Ensure compliance with regulatory frameworks such as NIST/FISMA 800-53.
- Lead and scale high-performing engineering teams across geographies, fostering a culture of innovation, accountability, and continuous improvement.
- Mentor and develop engineering leaders and technical staff, promoting a growth mindset and technical excellence.
Other
- 15+ years of experience in software engineering, with at least 5 years in a senior leadership role.
- Proven experience delivering enterprise SaaS products and platforms in cloud environments (AWS, Azure).
- Excellent leadership, communication, and stakeholder management skills.
- US Citizen; Hold or willing to hold a clearance
- Master’s degree in Information Technology, Computer Science, or related field; MBA is a plus.
