LinkedIn · 2 weeks ago
Senior Staff Software Engineer, Risk and Compliance Infrastructure & Data Science
Mountain View, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$181K/yr - $297K/yr
7+ years expLinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. They are looking for a technical lead to provide architectural and technical leadership across GRACE infrastructure platforms, focusing on data science, quantitative risk analysis, and automation to deliver audit-ready systems and predictive insights.
Professional NetworkingRecruitingSocial MediaSocial Recruiting
Responsibilities
Define and drive architecture and roadmap for enterprise GRC and security platforms, ensuring alignment with organizational security, audit, and compliance objectives
Author technical specifications for self-service compliance reporting, transformation of security metadata into audit-ready artifacts, and CI/CD integration for engineering controls
Design and oversee real-time, near–real-time, and batch data pipelines that support live dashboarding, anomaly detection, predictive modeling, and executive reporting
Mentor engineering and data science teams by conducting pipeline/code reviews, promoting scalable patterns, and enabling maintainable deployment of quantitative models
Govern development of certifiable reporting and audit systems, policy-as-code and docs-as-code engines, and analytics platforms supporting predictive and anomaly-based risk intelligence
Ensure secure, efficient integration and data flow across systems of record, systems of transformation, and systems of insight
Implement tooling and automation that streamline compliance workflows, enable self-service analytics, and improve quantitative risk measurement
Design and enforce data models, metadata standards, lineage tracking, lifecycle management processes, and data integrity controls for structured and unstructured security-relevant data
Lead the implementation of advanced analytics capabilities leveraging statistical and ML techniques to quantify control effectiveness and risk posture
Architect secure, performant integration strategies using APIs, ETL/ELT mechanisms, and workflow orchestrators; develop and manage data contracts and integration security protocols
Champion platform performance, scalability, and security—ensuring confidentiality, integrity, and availability for computationally intensive risk workloads
Partner with engineering teams to onboard new compliance and risk programs; enable other risk domains to leverage shared infrastructure and platform capabilities
Collaborate with internal data platform teams to influence in-house tooling that supports insight generation, workflow automation, and data-driven risk decisions
Establish and socialize engineering and data ecosystem best practices across technical and non-technical teams, promoting standardization and design consistency
Serve as an escalation point for complex technical, data quality, and model deployment issues; provide guidance on resolution paths
Contribute to engineering innovations that strengthen security posture and advance the organization’s mission
Contribute to engineering innovations that fuel LinkedIn’s vision and mission
Qualification
Required
Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc
7+ years of relevant industry experience
Experience with SQL/Relational databases
Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript, Python, Java and Scala)
Preferred
BS and 11+ years of relevant work experience, MS and 9+ years of relevant work experience, or Ph.D. and 7+ years of relevant work/academia experience working with large amounts of data
7+ years in technical leadership roles for large-scale platforms
Deep experience mapping technical systems to compliance/risk frameworks
Proven success launching and scaling analytics/compliance systems
Experience designing and governing data models, schemas, metadata standards, and data quality controls for structured and unstructured security/compliance data
Knowledge of data lineage, lifecycle management, and privacy/regulatory frameworks (e.g., GDPR, CCPA, HIPAA, SOX)
Experience developing analytics and ML pipelines using tools such as Spark, Databricks, Snowflake, or equivalent distributed compute frameworks
Experience authoring and orchestrating data pipelines with workflow tools such as Airflow, Prefect, Flyte, or dbt
Familiarity with anomaly detection, control drift analysis, predictive modeling, and quantitative risk techniques (e.g., Monte Carlo simulation, Bayesian inference, VaR)
Experience using BI and reporting platforms (e.g., Tableau, Power BI, Looker) to produce executive-ready dashboards and audit artifacts
Knowledge of programming languages such as Python, Scala, R, or TypeScript, and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Familiarity with integration patterns across systems of record, transformation, and insight, including data contracts, encryption, authentication, and secrets management
Experience with cloud-native compute and storage platforms (e.g., AWS, Azure, GCP), data lakes (e.g., S3, ADLS), and Git-based source control workflows
Knowledge of CI/CD, MLOps, and infrastructure-as-code concepts for secure, reliable model and platform deployment
Experience with GRC, compliance, or security automation platforms (e.g., ServiceNow, Archer, OneTrust) and shift-left security practices within the SDLC
Familiarity with designing high-volume, high-reliability data foundations in large, distributed software environments
Experience creating data visualizations and communicating technical concepts clearly to engineering, InfoSec, audit, and business stakeholders
Demonstrated ability to mentor engineers and collaborate cross-functionally with legal, security, and platform teams
Background working in regulated or highly audited environments (e.g., finance, healthcare, government, SaaS)
Benefits
Generous health and wellness programs
Annual performance bonus
Stock
Benefits
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
10001+ employees
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Leadership Team
Ryan Roslansky
Chief Executive Officer
Dan Shapero
Chief Operating Officer
Recent News
2026-01-10
2026-01-09
2026-01-09
Company data provided by crunchbase