6 hours ago
Base Salary
$225k - $250k/yr
Responsibilities
- Define schemas, relationships, and ontology for the identity graph.
- Design and operate entity-resolution systems connecting people, records, devices, and addresses across noisy data.
- Build batch and real-time pipelines, low-latency APIs, and high-volume serving systems.
- Develop production systems supporting ML features, model inference, and graph analytics.
- Improve system performance, reliability, and cost using measurable outcomes.
- Lead architecture decisions and carry initiatives from initial design through production rollout.
- Mentor engineers and establish standards for design reviews, testing, CI/CD, and operations.
- Build privacy, security, and PII protection into identity data systems.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 7+ years of experience building and running distributed systems in the cloud, including at least 2 years at Staff or Senior Staff scope or equivalent experience.
- Demonstrated ability to quantify the scale and impact of production systems, including latency, reliability, or cost improvements.
- Deep production experience with Spark, Kafka, or Flink across batch and streaming workloads.
- Experience building and tuning low-latency APIs and serving systems.
- Experience with graph data modeling or entity resolution; fraud or identity-verification experience is a strong plus.
- Fluency with AWS, Kubernetes, infrastructure as code, CI/CD, and production observability.
- Experience building ML data pipelines with Databricks, SageMaker, or similar tools and orchestrating them with Airflow or an equivalent.
- Technical leadership experience involving ambiguous cross-team initiatives, mentoring, design documentation, and influence without direct authority.
- Experience owning systems end to end in production, including on-call responsibility.
- Proficiency with Java, Scala, or Python; experience with graph technologies such as Neo4j and Amazon Neptune.
Tech Stack
Categories
BackendData Engineering
About Socure
Socure builds an AI-driven digital identity verification and fraud prevention platform used by banks, fintechs, e-commerce, telecom, healthcare, and government agencies to automate KYC/AML, document verification, and risk decisioning. It sells enterprise APIs and workflows for onboarding, authentication, and payments fraud mitigation. Founded in 2012 and headquartered in Incline Village, Nevada, Socure is privately held and operates across regulated and high-volume digital markets.