Senior Staff Data Security Privacy Engineer Job at Coursera

New

Staff Security Engineer, Privacy Engineering & AI

The Security and Privacy Architecture team is Uber's technical privacy authority...

Location

United States , Seattle, Washington; San Francisco, California; Sunnyvale, California

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Security, or a related technical field
8+ years in software engineering, security engineering, or privacy engineering
Demonstrated hands-on building: you have personally designed and prototyped technical solutions, not just reviewed or advised on them. You should be able to walk us through your technical approach and design decisions in depth
Expertise in privacy engineering: anonymization, data minimization, deletion/retention architecture, etc.
Strong understanding of distributed systems, service-oriented architectures, and modern data platforms
Experience leading complex cross-functional technical initiatives across multiple teams
Experience defining technical standards for new technology areas
Strong communication skills. You can explain privacy/technical tradeoffs clearly to engineers, legal partners, and senior leadership

Job Responsibility

Design and prototype privacy and security controls for AI systems — prompt/log handling, fine-tuning data pipelines, vector stores, and agentic tool integrations
Lead privacy design reviews and architectural assessments for high-impact systems including large-scale data platforms, real-time streaming infrastructure, advertising systems, and new AI products
Build working anonymization PoCs for unstructured data and multimedia, going beyond regex to handle complex entity types, multi-locale data, and contextual identifiers
Identify recurring manual privacy/security processes and convert them into scalable automations, templates, and platform capabilities
Partner with Security, Privacy Legal, Product, Infrastructure, Compliance, and Ads teams on complex privacy workstreams
mentor engineers on privacy-by-design and safe AI system design

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

Senior Staff Engineer – Cybersecurity Data Protection Engineer

GEICO’s Cybersecurity organization has an exciting opportunity for an accomplish...

Location

United States , Chevy Chase; Palo Alto; Seattle

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Proven experience with data discovery, classification, handling, access, inventory, and retention
Proven experience with data protection technologies, such as encryption, tokenization and data loss prevention tools
Familiar with programming languages such as Python, Java, or .NET
Experience with designing and implementing data security solutions for enterprise environments
Experience in managing and supervising other Data Protection Engineers
Experience in developing and managing data protection programs focused on data discovery, data inventory, data risk assessments, and encryption for both structured and unstructured data
Strong knowledge of cybersecurity laws, regulations, and best practices
Knowledge of data security frameworks, standards, and protocols
Strong understanding of data privacy laws and regulations (i.e. NYDFS, PCI, etc.)
Strong analytical and problem-solving skills

Job Responsibility

Develop and Implement data protection strategies and initiatives, including classification and handling, data access controls, inventory, encryption, and retention
Work closely with other stakeholders to enforce data protection related policy and respond to regulatory requirements
Develop and maintain data security policies, procedures, standards, and ensure that they are followed by the entire organization
Create and maintain data inventories and data flows, and manage data sharing controls
Drive the design and implementation of data access controls, ensuring only authorized access to sensitive data
CO-develop and implement data retention policy and procedures, ensure compliance with internal policy and external regulations
Enforce data encryption standards and strategies to secure data at rest and in transit
Lead incident response efforts related to data breach and work with stakeholders to mitigate impact
Lead and conduct regular data risk assessments to identify potential vulnerabilities and threats to the organization's data and information systems
Stay abreast of new developments in the field of cybersecurity and ensure that the organization's risk assessment and data security processes are aligned with industry standards and best practices

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Engineer - MarTech (Adobe Experience Platform)

We are looking for a technical leader to shape, scale, and continuously evolve o...

Location

Salary:

Not provided

Admiral Group Plc

Expiration Date

Until further notice

Requirements

Proven ability to lead through influence, shaping direction, coaching engineers, and strengthening capability across cross‑functional teams
Strong communication and stakeholder engagement skills, confident operating with senior leaders in both technical and non‑technical areas
Ability to balance long‑term technical strategy with near‑term delivery needs
Passion for continuous improvement, experimentation, and innovation
Deep hands‑on knowledge of Adobe Experience Cloud, including: AEP Real Time CDP covering data modelling, identity, profile governance, sources and destinations, and segment design
Customer Journey Analytics covering workspace design, connections, and cross‑channel analytics
Adobe Target covering experimentation frameworks, personalisation strategies, guardrails, and performance optimisation
AEM Sites, EDS and Assets covering component architecture, CF and XF patterns, metadata, rights management, and asset workflow
Workfront covering marketing workflow design, templates, approvals, and capacity management
Broad grounding in engineering including full‑stack fundamentals, distributed systems, API design, cloud platforms (GCP), containers, Kubernetes, and CI/CD

Job Responsibility

Optimise our Real Time Customer Profile foundation so audience segmentation, enrichment, and activation become more relevant and effective
Implement and scale cross‑channel customer journeys using Adobe Journey Optimizer, improving time to launch and supporting stronger conversion, retention, and satisfaction
Advance Customer Journey Analytics to move away from fragmented reporting and towards unified, self‑serve insights that help Marketing and Digital teams make better decisions
Establish strong standards for experimentation and personalisation using Adobe Target, enabling more testing, safer execution, and higher return on investment
Enhance how digital content is produced, managed, and deployed. This includes improving campaign speed, reuse, compliance, and consistency across channels
Embed and optimise Workfront as the backbone of marketing workflow from brief to delivery, improving visibility, throughput, and alignment across teams
Own the MarTech technical roadmap across AEP, ensuring it aligns with business goals and marketing priorities. Define long‑term architectural direction, integrations, and investment choices across Adobe Experience Cloud. Partner with Marketing leadership to translate customer and commercial goals into use cases and platform capabilities
Architect and govern AEP implementations including XDM modelling, identity resolution, ingestion patterns, activation, destination architecture, and platform governance. Define standards for segment design, profile policies, real‑time data flows, and edge decisioning
Define triggers, schemas, guardrails, and operational patterns for orchestrating scalable cross‑channel journeys. Ensure journeys are testable, observable, and measurable
Design and maintain analytics connections, data views, and workspaces. Lead the transition from legacy reporting platforms to CJA with a focus on accuracy, stability, and adoption

What we offer

Eligible for up to £3,600 of free shares each year after one year of service
33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
Option to buy or sell up to an additional five days of annual leave
Financial & Mortgage Advice
24-Hour Ecare
Cycle to Work Scheme
Annual Holiday Allowance
Flexible Working
Simply Health
Private Health Cover

Fulltime

Staff Systems Developer, Compliance & Legal Systems

Join us in building the future of finance. Our mission is to democratize finance...

Location

Canada , Toronto

Salary:

119000.00 - 140000.00 CAD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Proven experience operating at a Staff or Principal engineering level, with a track record of designing, building, and scaling application ecosystems
Deep experience working in compliance, legal, or highly regulated environments, with a strong understanding of regulatory systems and audit requirements
Strong cloud-native experience with AWS or GCP, including hands-on work with serverless functions, containerization (Docker and Kubernetes), and secure data storage architectures
Significant domain experience with eDiscovery, data retention, and communications archiving platforms (such as Global Relay or Smarsh), as well as privacy technologies supporting GDPR and CCPA requirements
Practical understanding of data protection principles
Experience managing both SaaS-based and on-premise applications, including integrations, upgrades, and lifecycle management
Proficiency with programming or scripting languages such as Python or Go, particularly for automation, migrations, and systems integration
A strong operational discipline, demonstrated through idempotent automation, system observability, precise documentation, and structured change management
Experience leading enterprise-scale system migrations or M&A integrations, ideally within financial services or similarly regulated industries
Clear communication and stakeholder management skills

Job Responsibility

Act as the technical owner for core Compliance and Legal applications, serving as the primary contact for M&A-related integrations, migrations, and system readiness
Lead high-stakes technical integrations during M&A activity
Architect the strategy for data migrations and system consolidations
Design, implement, and operate scalable systems and workflows that support regulatory compliance, audit defensibility, and legal operations
Apply strong engineering judgment with a focus on security, data protection, reliability, and regulatory requirements
Lead the evaluation and implementation of best-in-class compliance and legal technology platforms
Champion the strategic adoption of AI and automation to drive infrastructure efficiency and operational excellence
Identify, prioritize, and lead initiatives that introduce AI-powered self-service, automation, and predictive capabilities
Design and build scalable automation tools and AI-enabled solutions, while setting technical direction, best practices, and standards across the organization
Architect and implement integrations using REST APIs to support seamless cross-system functionality

What we offer

bonus opportunities
equity
benefits

Fulltime

Staff Systems Developer, Compliance & Legal Systems

Join us in building the future of finance. Our mission is to democratize finance...

Location

Canada , Toronto

Salary:

119000.00 - 140000.00 CAD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Proven experience operating at a Staff or Principal engineering level, with a track record of designing, building, and scaling application ecosystems
Deep experience working in compliance, legal, or highly regulated environments, with a strong understanding of regulatory systems and audit requirements
Strong cloud-native experience with AWS or GCP, including hands-on work with serverless functions, containerization (Docker and Kubernetes), and secure data storage architectures
Significant domain experience with eDiscovery, data retention, and communications archiving platforms (such as Global Relay or Smarsh), as well as privacy technologies supporting GDPR and CCPA requirements
Practical understanding of data protection principles, including why controls exist and how they support regulatory and legal outcomes
Experience managing both SaaS-based and on-premise applications, including integrations, upgrades, and lifecycle management
Proficiency with programming or scripting languages such as Python or Go, particularly for automation, migrations, and systems integration
A strong operational discipline, demonstrated through idempotent automation, system observability, precise documentation, and structured change management
Experience leading enterprise-scale system migrations or M&A integrations, ideally within financial services or similarly regulated industries
Clear communication and stakeholder management skills, with the ability to balance immediate operational needs against long-term system design

Job Responsibility

Act as the technical owner for core Compliance and Legal applications, serving as the primary contact for M&A-related integrations, migrations, and system readiness
Lead high-stakes technical integrations during M&A activity. You will architect the strategy for data migrations and system consolidations, ensuring zero-loss transitions under tight regulatory windows
Design, implement, and operate scalable systems and workflows that support regulatory compliance, audit defensibility, and legal operations
Apply strong engineering judgment with a focus on security, data protection, reliability, and regulatory requirements
Lead the evaluation and implementation of best-in-class compliance and legal technology platforms
Champion the strategic adoption of AI and automation to drive infrastructure efficiency and operational excellence. Identify, prioritize, and lead initiatives that introduce AI-powered self-service, automation, and predictive capabilities, delivering measurable efficiency gains and cost savings
Design and build scalable automation tools and AI-enabled solutions, while setting technical direction, best practices, and standards across the organization
Architect and implement integrations using REST APIs to support seamless cross-system functionality
Collaborate closely with Compliance, Legal, Security, and external vendors, and influence senior stakeholders across geographies
Mentor fellow engineers and raise the bar for code quality, documentation, and operational excellence

What we offer

bonus opportunities
equity
benefits

Fulltime

Senior Staff Full Stack Software Engineer

At Cloudera, we empower people to transform complex data into clear and actionab...

Location

Spain , Remote

Salary:

Not provided

Cloudera

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or equivalent
6+ years of experience
Expertise in at least one primary language (Rust preferred) and ecosystem (e.g., Python, Go, or Java)
Expertise in cloud-native architectures (containers, service mesh, queues, eventing)
Proven experience in integrating AI/ML models into user interfaces
Familiarity with the AI/ML ecosystem (fundamentals of LLMs, vector databases, RAG, and prompt engineering)
Familiarity with tools such as MLflow, LangChain, or Hugging Face
Security & privacy mindset (familiarity with data governance, PII handling, tenant isolation, and compliance considerations)

Job Responsibility

Own the architecture: Design, evolve, and document the end-to-end AI workflow stack
Ship production systems: Build reliable, low-latency services that integrate foundation models and traditional microservices
Own end-to-end delivery of features from the user-facing aspect (UI) to the backend services
Implement robust testing frameworks
Establish safety guardrails and human-in-the-loop processes
Optimize for cost & performance: Instrument, analyze, and optimize unit economics and performance
Drive data excellence: Shape data contracts, feedback loops, labeling strategies, and feature stores
Mentor and multiply: Provide technical leadership, unblock complex projects, raise code/design standards, and mentor senior engineers
Partner across functions: Translate product intent into technical plans, influence roadmaps, and communicate trade-offs

What we offer

Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups

Fulltime

Director, AI Engineering (Tip.AI)

The Director, Platform Engineering – TIP.AI Platform is a senior technical role ...

Location

United States , Bethesda

Salary:

126900.00 - 211000.00 USD / Year

Marriott Bonvoy

Expiration Date

April 21, 2026

Requirements

8+ years of experience designing, building, and operating large‑scale distributed systems in production environments
Deep experience designing, building and operating large‑scale, distributed, systems
Strong background in fault tolerant, auto‑recoverable software systems at scale
Proven expertise in reliability engineering, scalability, and performance optimization
Hands‑on experience with at least one major cloud platform (AWS, Azure, or GCP)
Strong proficiency in infrastructure‑as‑code and CI/CD systems
Demonstrated ability to lead through influence, mentor senior engineers, and set technical direction across teams
Full‑Stack Entrepreneurial Mindset: Must have bootstrapped/built at least one full stack system delivered to real users
Excellent verbal communication skills, with the ability to articulate complex architectural decisions clearly
Ability to produce/review extremely clean software documentation

Job Responsibility

Define and evolve the core platform architecture for TIP.AI, ensuring it is scalable, highly available, secure, and cost‑efficient at enterprise scale
Establish and maintain reference architectures, design patterns, and engineering standards for platform services
Own platform reliability, including availability, performance, resiliency, and disaster recovery
Define and enforce SLOs, SLIs, and error budgets for core platform services
Build and mature observability practices (metrics, logs, traces) to ensure deep operational insight
Partner with security teams to ensure platform designs meet enterprise security, privacy, and compliance requirements
Build internal platform capabilities and shared services that improve developer velocity and consistency
Establish CI/CD, deployment, and runtime patterns that enable safe, fast delivery at scale
Reduce cognitive load on application teams by abstracting infrastructure complexity behind well‑designed platform interfaces
Act as the principal technical authority for the TIP.AI Platform team

What we offer

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical, dental, vision coverage
health care flexible spending account
dependent care flexible spending account
life insurance

Fulltime

!

New

Director, AI Engineering (Tip.AI)

The Director, Platform Engineering – TIP.AI Platform is a senior technical role ...

Location

United States , Bethesda

Salary:

126900.00 - 211000.00 USD / Year

Marriott Bonvoy

Expiration Date

April 21, 2026

Requirements

8+ years of experience designing, building, and operating large-scale distributed systems in production environments
Deep experience designing, building and operating large-scale, distributed, systems
Strong background in fault tolerant, auto-recoverable software systems at scale
Proven expertise in reliability engineering, scalability, and performance optimization
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
Strong proficiency in infrastructure-as-code and CI/CD systems
Demonstrated ability to lead through influence, mentor senior engineers, and set technical direction across teams
Full-Stack Entrepreneurial Mindset: Must have bootstrapped/built at least one full stack system delivered to real users
Excellent verbal communication skills, with the ability to articulate complex architectural decisions clearly
Ability to produce/review extremely clean software documentation

Job Responsibility

Define and evolve the core platform architecture for TIP.AI, ensuring it is scalable, highly available, secure, and cost-efficient at enterprise scale
Establish and maintain reference architectures, design patterns, and engineering standards for platform services
Own platform reliability, including availability, performance, resiliency, and disaster recovery
Define and enforce SLOs, SLIs, and error budgets for core platform services
Build and mature observability practices (metrics, logs, traces) to ensure deep operational insight
Partner with security teams to ensure platform designs meet enterprise security, privacy, and compliance requirements
Build internal platform capabilities and shared services that improve developer velocity and consistency
Establish CI/CD, deployment, and runtime patterns that enable safe, fast delivery at scale
Reduce cognitive load on application teams by abstracting infrastructure complexity behind well-designed platform interfaces
Act as the principal technical authority for the TIP.AI Platform team

What we offer

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical coverage
dental coverage
vision coverage
health care flexible spending account

Fulltime

!

Senior Staff Data Security Privacy Engineer

Coursera

Location:
United States

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 04, 2026

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