Staff Backend Graph Engineer

Posted 2 Hours Ago
Be an Early Applicant
Hiring Remotely in Seattle, WA, USA
In-Office or Remote
225K-250K Annually
Senior level
Artificial Intelligence • Machine Learning • Software • Analytics
Our mission is to verify 100% of good identities in real-time and completely eliminate identity fraud on the internet.
The Role
Build and lead the identity graph platform powering real-time fraud prevention. Responsibilities include defining graph schemas and ontologies, developing entity-resolution systems, designing batch and streaming pipelines, building low-latency APIs and serving systems, supporting ML and graph analytics, improving performance and reliability, leading architecture, mentoring engineers, and embedding privacy and security into production systems.
Summary Generated by Built In
Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

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.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

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Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
  • 7+ years building and operating distributed cloud systems, including at least 2 years at Staff or Senior Staff scope or equivalent
  • Experience owning production systems end to end, including on-call responsibility
  • Quantifiable experience building and improving production systems at scale
  • Deep Apache Spark, Kafka, or Flink experience across batch and streaming systems, including production debugging
  • Experience building and tuning low-latency APIs and serving systems
  • Graph or entity-resolution experience, including connected-data modeling or record matching across noisy sources
  • Experience with AWS, Kubernetes, infrastructure as code, CI/CD, and production observability
  • Experience with ML data pipelines using Databricks, SageMaker, or similar platforms
  • Experience with Airflow or an equivalent orchestration platform
  • Technical leadership across ambiguous, cross-team initiatives, including mentoring and architecture influence
  • Fraud or identity-verification experience
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The Company
HQ: Incline Village, Nevada
386 Employees
Year Founded: 2012

What We Do

Socure is the leading platform for digital identity trust. Its predictive analytics platform applies artificial intelligence and machine learning techniques with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real time. The company has more than 750 customers across the financial services, gaming, telecom, and e-commerce industries, including three of the top five banks, seven of the top 10 card issuers, three of the top MSBs, the top payroll provider, the top credit bureau, and over 100 of the largest and most successful FinTechs. Marquee customers include Chime, Varo Money, Public, Stash, and DraftKings. Socure has received numerous industry awards and accolades, including being named to Forbes America’s Best Startup Employers 2021, being awarded Best New Technology Introduced over the Last 12 Months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked number 70 in Deloitte’s Technology Fast 500™, being listed as a Gartner Cool Vendor, being recognized by Forbes as one of the Top 25 Machine Learning Startups to Watch, being named to CB Insights: The FinTech 250, and being awarded Finovate’s Award for Best Use of AI/ML, to name a few.

Why Work With Us

Socure is a critical part of the infrastructure of the digital economy and what we do is critical to ensure the safety of anyone doing any sort of business on the internet. Because of our technology digital identity theft will be eradicated and more people will be included in the digital economy than ever before.

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