Senior Privacy Engineer Job at DuckDuckGo

Senior Privacy Engineer

We are seeking a Senior Privacy Engineer to join our Data Platform and Security ...

Location

United States , San Francisco

Salary:

156000.00 - 234000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

5+ years of experience in privacy engineering, data protection, or security engineering
Passion for privacy, trust, and data protection in modern cloud platforms
Strong analytical and problem-solving skills, with the ability to solve complex privacy and technical issues autonomously
Excellent communication skills, with the ability to explain complex topics to both technical and non-technical stakeholders
Background in secure coding practices, code auditing, and privacy-preserving design patterns
Proficiency with Python or other scripting languages for automation and privacy tool development
Hands-on experience with cloud environments and integration into data pipelines
Awareness of data protection regulations and principles (GDPR, CCPA,) and the ability to translate legal guidance into technical processes.
Familiarity with privacy tech platforms (e.g. DataGrail, Transcend), Data Subject Requests, cookie and tracking technology management platforms (CMPs) is a plus
Experience embedding privacy into modern data platforms (CDPs, Snowflake, Databricks, analytics tools, AI/ML workflows) is highly beneficial.

Job Responsibility

Embed Privacy by Design: Strengthen and operationalize our Privacy by Design program across systems, integrations, pipelines, and applications for B2B and B2C products and services
Investigate & Remediate Incidents: Analyze privacy and security incidents, perform root cause analysis, and drive remediation to prevent recurrence
Conduct Risk Assessments: Assist in privacy impact assessments for new products or data uses and risk reviews to identify vulnerabilities in our platforms, APIs, and ML Pipelines etc
Optimize Privacy Controls: Design and implement advanced controls for data classification, access management, encryption, anonymization, and pseudonymization
Provide Guidance & Enablement: Prescribe guidance and techniques for data anonymization and pseudonymization to the Data Engineering team, enabling the ML team to develop privacy-preserving models
Collaborate Cross-Functionally: Partner with security, legal, IT, engineering, and AI teams to align on regulatory compliance and technical implementation
Support Compliance: Ensure global privacy compliance (GDPR, CCPA, etc.) across a modern data stack (Snowflake, Databricks, CDP, Looker, AWS etc)
Innovate Privacy Solutions: Drive the development of new privacy-preserving features, tools, and automation for data lifecycle management
Maintain Documentation: Build and update technical documentation covering data flows, tracking technologies, retention policies, and privacy controls

What we offer

Competitive pay and comprehensive healthcare benefits
Financial assistance for things like hybrid work, family planning
Generous parental leave
Flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs

Fulltime

Senior Engineering Manager - Privacy Engineering

Atlassian helps teams everywhere change the world through the power of software,...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A track record of delivering projects on time, in scope, and within quality goals in an Agile/Lean environment
Experience driving changes and establishing processes through company-wide initiatives
5+ years of software, infrastructure, privacy, or security engineering experience, preferably at a similar scale enterprise
8+ years managing and growing engineers and/or managers
Experience providing actionable feedback and coaching engineers
Excellent interpersonal skills with both technical and non-technical audiences
Experience building SaaS software with a focus on operational excellence
Experience collaborating with legal stakeholders on a global scale

Job Responsibility

Be a people manager for your engineers (~10-15 people)
Own the delivery of critical projects, multiple streams of work at once, mainly focusing on: Build Privacy Tools: Create systems to make privacy checks part of the product design process and SDL
Work with Experts: Collaborate with legal, data governance, and compliance teams
Achieve Certifications: Help Atlassian get recognized privacy certifications like ISO 27701
Closely collaborate with key stakeholders in the USA, Australia, and India to understand the key certification, legal, and privacy requirements while maintaining a deep understanding of our products and platform capabilities
Lead your team through incidents and high operational load, navigate ambiguity, and make trade-offs and hard decisions
Develop adequate processes and practices and work with leaders across the company to mature Atlassian’s privacy posture through high-quality data and scaling solutions

What we offer

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more

Fulltime

Senior Engineering Manager, AI

As a Senior Engineering Manager (Forward Deployed Engineering team) at Atlassian...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
5+ years of experience managing software engineering teams at scale
Experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals

Job Responsibility

Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation—ensuring rapid, high-quality delivery of customer-focused, production-ready solutions
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results

What we offer

Health coverage
Paid volunteer days
Wellness resources

Senior Engineer - Coach (AI)

As a Senior Engineer on Coach, you’ll build AI‑powered coaching experiences that...

Location

Australia , Melbourne

Salary:

Not provided

Culture Amp

Expiration Date

Until further notice

Requirements

Demonstrated Senior Engineer impact, leading delivery of moderately complex epics and navigating ambiguity with sound trade‑offs
Strong expertise in Python
Bonus if you have experience across TypeScript, React or Next.js
Experience building and scaling distributed systems with solid testing, observability, and reliability practices
Practical familiarity with AI‑enabled product development (or a strong desire to learn), including RAG, MCP, agents, tools, prompt design, and evals/guardrails
Excellent collaboration and communication skills, with a product mindset and care for privacy, security, and data quality

Job Responsibility

Ship high quality AI features — from discovery and design to implementation, testing, launch, and iteration
Integrate and enhance AI‑enabled capabilities (e.g., RAG, MCP servers, agents, tooling, llm-as-judge evals) with strong safety, privacy, and observability practices
Improve reliability and performance with streaming, token optimisation, and robust monitoring—balancing speed, cost, and quality
Collaborate with engineers, product managers, people science, designers and data scientists to deliver impactful AI solutions while mentoring and supporting the team
Raise the bar for engineering excellence through thoughtful design docs, code reviews, pairing, and mentorship

What we offer

Employee Share Options Program
Programs, coaching, and budgets to help you thrive personally and professionally
Access to external providers for mental wellbeing and coaching support
Monthly Camper Life Allowance
Team budgets dedicated to team building activities and connection
Intentional quarterly wellbeing pauses
Extended year-end breaks
Excellent parental leave and in work support program available from day 1
5 Social Impact Days a year
MacBooks for you to do your best & a work from home office budget

Senior Engineer - Coach (AI)

As a Senior Engineer on Coach, you’ll build AI‑powered coaching experiences that...

Location

Australia , Sydney

Salary:

Not provided

Culture Amp

Expiration Date

Until further notice

Requirements

Demonstrated Senior Engineer impact, leading delivery of moderately complex epics and navigating ambiguity with sound trade‑offs
Strong expertise in Python
Experience building and scaling distributed systems with solid testing, observability, and reliability practices
Practical familiarity with AI‑enabled product development (or a strong desire to learn), including RAG, MCP, agents, tools, prompt design, and evals/guardrails
Excellent collaboration and communication skills, with a product mindset and care for privacy, security, and data quality

Job Responsibility

Ship high quality AI features — from discovery and design to implementation, testing, launch, and iteration
Integrate and enhance AI‑enabled capabilities (e.g., RAG, MCP servers, agents, tooling, llm-as-judge evals) with strong safety, privacy, and observability practices
Improve reliability and performance with streaming, token optimisation, and robust monitoring—balancing speed, cost, and quality
Collaborate with engineers, product managers, people science, designers and data scientists to deliver impactful AI solutions while mentoring and supporting the team
Raise the bar for engineering excellence through thoughtful design docs, code reviews, pairing, and mentorship

What we offer

Employee Share Options Program
Programs, coaching, and budgets to help you thrive personally and professionally
Access to external providers for mental wellbeing and coaching support
Monthly Camper Life Allowance
Team budgets dedicated to team building activities and connection
Intentional quarterly wellbeing pauses
Extended year-end breaks
Excellent parental leave and in work support program available from day 1
5 Social Impact Days a year
MacBooks for you to do your best & a work from home office budget

Senior Data Engineer

We’re growing our team at ELEKS in partnership with a company, the UK’s largest ...

Location

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 4+ years
Hands-on experience with Databricks 2+ years
Experience with Python
Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.)
At least an Upper-Intermediate level of English

Job Responsibility

Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects
End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices
Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management
Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Senior Data Engineer

We build simple yet innovative consumer products and developer APIs that shape h...

Location

United States , San Francisco

Salary:

180000.00 - 270000.00 USD / Year

Plaid

Expiration Date

Until further notice

Requirements

4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale
Experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)
Value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow
Experience working with different performant warehouses and data lakes
Redshift, Snowflake, Databricks
Experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka
Appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data
Excited to try out new technologies and like to produce proof-of-concepts that balance technical advancement and user experience and adoption
Like to get deep in the weeds to manage, deploy, and improve low level data infrastructure
Empathetic working with stakeholders

Job Responsibility

Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles
Have data quality and performance top of mind while designing datasets
Leading key data engineering projects that drive collaboration across the company
Advocating for adopting industry tools and practices at the right time
Owning core SQL and python data pipelines that power our data lake and data warehouse
Well-documented data with defined dataset quality, uptime, and usefulness

What we offer

medical
dental
vision
401(k)
equity
commission

Fulltime

Senior Software Engineer II

The Entity Graph team builds the core knowledge graph and services that connect ...

Location

United States , Seattle

Salary:

141000.00 - 225600.00 USD / Year

Axon

Expiration Date

Until further notice

Requirements

Strong backend engineering experience (typically 8+ years) with proven technical leadership
Proficiency in one or more modern languages (e.g., Java/Kotlin, C#, Go, or similar) and cloud-native service development
Experience designing data models for complex, interrelated domains and working with relational and NoSQL/graph stores
Solid systems design skills for distributed, high-throughput services
Clear communicator who collaborates effectively across teams
Security- and privacy-conscious mindset

Job Responsibility

Design and implement scalable services for entity modeling, ingestion, indexing, and query
Define and evolve data and schema models for interconnected records
Lead end-to-end projects: architecture, implementation, and delivery
Collaborate with product and data partners to translate requirements into technical solutions
Improve service reliability, testing, and observability
Mentor peers and contribute to engineering best practices

Fulltime

Senior Privacy Engineer

DuckDuckGo

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 08, 2026

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