Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
7+ years building and running distributed systems in the cloud, with at least 2 at Staff or Senior Staff level
Experience quantifying production scale improvements in latency, reliability, or cost
Deep expertise in Spark, Kafka, or Flink for both batch and streaming
Experience with low-latency API development and tuning
Background in graph or entity-resolution, particularly in fraud or identity verification
Fluency in AWS, Kubernetes, and CI/CD practices
Experience with ML data pipelines and orchestration tools like Airflow
Demonstrated technical leadership in cross-team projects
Responsibilities
Define schemas, relationships, and ontology for identity data
Manage entity resolution at scale, connecting records and assessing confidence levels
Design batch and real-time data pipelines and low-latency APIs
Develop production systems for ML features and graph analytics
Enhance performance, reliability, and cost-effectiveness through measurable improvements
Lead architectural decisions and document tradeoffs throughout the project lifecycle
Mentor engineers and establish standards for design reviews and operations
Integrate privacy and security measures into all systems from the outset
Benefits
Opportunity to shape the technical direction of a critical identity verification platform
Work on complex, high-impact problems that protect millions of users
Collaborative environment with cross-functional teams including Engineering, Data Science, and Security
Mentorship opportunities to elevate engineering standards
Focus on innovative technologies and methodologies in a fast-paced setting
Full Job Description
About the Job
Build the graph that decides who's real. Every day, Socure's Identity Graph helps businesses decide whether to trust the person on the other side of a screen. It links billions of signals (names, addresses, devices, emails, phones) into one picture of identity, and it does this in milliseconds. Fraudsters move fast. The graph has to be faster.
As a Staff Engineer on this team, you'll set the technical direction for the platform behind that decision. You'll own hard problems end to end, work across Engineering, Data Science, Product, and Security, and see your work shape the products that protect millions of people.
What You Will Do
Shape the graph. Define the schemas, relationships, and ontology that make identity data consistent and extensible.
Own entity resolution at scale. Decide how records, people, devices, and addresses connect, and how confident we are, across data that is messy, sparse, and sometimes adversarial.
Build for speed and volume. Design batch and real-time pipelines, low-latency APIs, and serving systems that hold up under heavy load.
Power fraud intelligence. Ship the production systems behind our ML features, model inference, and graph analytics.
Move the numbers. Improve performance, reliability, and cost, and prove it with measurements.
Set the direction. Lead architecture decisions, document the tradeoffs, and carry initiatives from first design through production rollout.
Raise the bar. Mentor engineers and set the standard for design reviews, testing, CI/CD, and operations.
Protect identity data. Build privacy, security, and PII protection into every system from day one.
Your toolkit:Java, Scala, or Python. Spark, Kafka, Flink, Airflow, and AWS, including EMR. Graph technologies like Neo4j and Amazon Neptune.
What You Will Bring
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
7+ years building and running distributed systems in the cloud, with at least 2 at Staff or Senior Staff scope, or the equivalent
Production scale you can quantify. You can tell us what you built, how big it was, and how much you improved latency, reliability, or cost
Deep Spark, Kafka, or Flink experience in both batch and streaming, including debugging them in production
Low-latency serving. You have built and tuned APIs where milliseconds matter
Graph or entity-resolution experience. You have modeled connected data, matched records across noisy sources, or built an identity graph. Fraud or identity verification is a strong plus
Cloud and operations fluency. AWS, Kubernetes, infrastructure as code, CI/CD, and real production observability
ML data pipelines on Databricks, SageMaker, or similar, plus orchestration with Airflow or equivalent
Technical leadership. You have led ambiguous, cross-team work, mentored engineers, and changed the direction of a system through design docs and influence, not authority
What This Job is Not
It's not a role for someone who hasn't owned a system end to end in production, including being on call for it.
It's not feature work on platforms someone else designed.
It's not a defined backlog. You'll frame ambiguous problems yourself.
It's not a place to treat data privacy as a compliance checkbox.
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About Socure Inc.
Socure is a New York-based technology company that provides digital identity verification services. The company's products use artificial intelligence and machine learning to verify the identities of individuals in real-time. Socure's customers include financial institutions, online marketplaces, and other businesses that need to verify the identities of their users. The company was founded in 2012 by Sunil Madhu and Johnny Ayers and has raised over $70 million in funding to date.
