Senior Software Engineer

CybSafe; United States; Remote; USD 165,000 - 185,000; Full time

Job summary

A leading company in identity verification is seeking a Senior Software Engineer to design and optimize high-performance data systems. The role focuses on big data, graph databases, and scalable architectures, ensuring data integrity and security.

Qualifications

• 7+ years of experience building and supporting complex data systems.
• Strong proficiency in Java, Scala, or Python.

Responsibilities

• Design and implement scalable, secure data pipelines.
• Collaborate with cross-functional teams for robust data solutions.

Skills

Java

Scala

Python

Cloud Services

Data Processing

APIs

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Apache Spark

Kafka

Flink

AWS

Docker

Kubernetes

Airflow

Job description

At Socure, we’re on a mission—to verify 100% of good identities in real time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS, Socure has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve real, high-impact problems at scale.

As a remote-first company, Socure fosters a culture of autonomy, collaboration, and continuous learning. Our teams are empowered to take ownership, move fast, and build technology that drives real-world change. Recognized by Forbes, Deloitte, and Inc. as one of the fastest-growing and most innovative companies in tech, we’re just getting started–come join us.

Explore SocureLife and help us redefine digital trust.

Job Summary:
Data is at the core of Socure’s mission to eliminate identity fraud. We’re seeking a Senior Software Engineer to play a key role in designing, building, and optimizing high-performance data systems that power our next-generation identity verification products. This role is ideal for an experienced engineer passionate about big data, graph databases, and scalable architectures, with a strong drive for innovation and a deep focus on data integrity and security.

Key Responsibilities

Data Platform Engineering:

• Design and implement scalable, secure, and high-performing data pipelines for both batch and real-time processing.

• Build and maintain data systems that power machine learning features, model inference, and analytics.

• Develop high-quality, production-grade code in Java, Scala and python

• Work with technologies like Apache Spark, Kafka, Flink, Airflow, AWS EMR and cloud-native data services on AWS

• Apply graph data modeling techniques and leverage graph databases such as Neo4j or Amazon Neptune.

• Optimize data architectures for cost, performance, and maintainability.
  

Technical Collaboration:

• Collaborate with cross-functional teams including Data Science, Product, and Security to translate business needs into robust data solutions.

• Participate in system design discussions, code reviews, and knowledge sharing to promote engineering excellence.

• Ensure all solutions comply with privacy regulations and PII protection standards.
  

Innovation and Best Practices:

• Stay current with advances in data engineering, machine learning infrastructure, and cloud-native technologies.

• Contribute to the evolution of Socure’s data engineering best practices, including CI/CD, testing, and monitoring.

• Participate in open-source initiatives and represent Socure in technical forums when possible.
  

Qualifications

Education & Experience:

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

• 7+ years of experience building and supporting complex data systems and applications in cloud environments.

Technical Skills:

• Strong proficiency in Java, Scala or python

• Deep knowledge of distributed data processing frameworks (e.g., Spark, Kafka, Flink).

• Hands-on experience with cloud services (AWS)and containerized environments (Docker, Kubernetes).

• Understanding of software design patterns, data structures, and DevOps/CI-CD best practices.

• Experience in working with Airflow or other data pipeline orchestration services

• Familiarity with building ML data pipelines (e.g., with Databricks, SageMaker, or similar platforms)

• Has experience in developing and utilizing scalable, high-performance APIs.

• Additional points for Experience with graph databases and graph algorithms.

Salary Disclosure

Base Salary range: $165,000 to $185,000

This represents the expected salary range for this job requisition. Final offers may vary from the amount listed based on factors including geography, candidate experience and expertise, and other job related factors. Socure's compensation and rewards package for full time roles includes a market competitive salary, equity, comprehensive benefits, and, for applicable roles, commissions plans or an annual discretionary performance bonus.

Explore SocureLife to learn more and check out Socure’s Career Page.