Senior Manager, Software Engineering

Predictive analytics and machine learning power Socure’s groundbreaking technology and fuel our mission to verify 100% of good identities in real time and completely eliminate identity fraud on the internet.

Socure is the world leader in digital identity verification and fraud prevention. Our recent awards include Forbes 2022 America’s Best Startup Employers, The Forbes Cloud 100, The Deloitte Technology Fast 500, and Inc. 5000’s fastest growing companies.

Listen to why some of the world’s top technology investors see the enormous, transformative potential in Socure’s mission and products:

https://www.youtube.com/watch?v=ifM9_jPQCv8

Job Summary:

Data lies at the heart of everything we do at Socure, and establishing meaningful relationships between data elements is key to the performance of our products. We are seeking an experienced and highly motivated Senior Manager, Software Engineering to lead the design and development of complex data systems, mentor engineering teams, and collaborate cross-functionally to drive data innovation across the company.
 

In this role, you will manage and grow a team of talented engineers while playing a key role in advancing Socure’s identity infrastructure to power the next generation of identity fraud products of the company.
 

Key Responsibilities:
 

Technical Leadership:

• Lead the architectural design and implementation of scalable, reliable, and secure data platform solutions.

• Provide mentorship and guidance to engineers through design reviews, code reviews, and coaching.

• Establish and enforce best practices in data engineering, including coding, testing, and deployment.

• Define, design, and develop data products for the company

• Own the end-to-end development of data pipelines for batch and real-time processing, supporting both model training and inference.

• Design and implement solutions using modern data lakes, warehouses, and graph databases to model complex data relationships.

• Write and review high-quality code to ensure system performance, maintainability, and scalability.

• Implement robust testing frameworks and CI/CD pipelines to support continuous delivery of data products.
   

Collaboration and Communication:

• Collaborate with cross-functional teams (Product, Engineering, Data Science, Infrastructure) to align data engineering efforts with business objectives.

• Partner with legal and security teams to ensure compliance with PII handling, security, and regulatory requirements.

• Effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Innovation and Continuous Improvement:

• Stay current with emerging technologies and trends in big data, graph databases, and cloud computing.

• Propose and implement new technologies and methodologies to enhance data platform performance and cost-efficiency.

• Contribute to open-source projects and represent Socure in technical communities.

Qualifications:
 

Education and Experience:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

• 8+ years of professional experience in data engineering, including 3+ years in a management or lead role.

• Proven ability to lead and grow high-performing technical teams.

• Technical Skills:

• Expertise in building large-scale data solutions in modern cloud platforms (AWS, GCP, or Azure).

• Proficiency in programming languages such as Python, SQL, and one or more of Java, Scala, or Go.

• Strong experience with data lakes, data warehouses, and streaming frameworks (e.g., Apache Spark, Kafka, Flink).

• Hands-on experience with graph databases and algorithms (e.g., Neo4j, Amazon Neptune, or OrientDB).

• Strong understanding of software architecture, design patterns, and data structures.

• Experience with containerization technologies (Docker, Kubernetes) and microservices architecture.

• Soft Skills:

• Exceptional problem-solving and analytical abiliti