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DuckDuckGo

Director, Site Reliability Engineering

Remote, Canada

Pay: $243,800 USD / year
Job type: Full-time
Workplace: Remote
Experience: 10+ years relevant professional experience in reliability, platform, infrastructure, or software engineering, including 4+ years leading SRE teams.
Working hours: 40 hours per week
Posting language: English
Posted: Sep 4, 2026

Apply About employer

Applications open in a new tab.

Original job description

Who We Are

Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on Mac, Windows, iOS, and Android, our search engine, and the DuckDuckGo subscription. We also offer private, useful, and optional AI, including Duck.ai, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our culture of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!

Your Team and Role

Working on the Site Reliability Team, you'll help build and maintain world-class infrastructure to meet the needs of millions of users protecting their privacy online. You'll utilize high-level languages like Perl, Go, TypeScript, or Python and work on related projects. Recent projects include:

Ensuring our Duck.ai product meets our reliability standards and minimizing user friction on failures
Scaling up our own index infrastructure to handle billions of documents
Create anti fraud verifications that respect users privacy

As Director, Site Reliability Engineering, you'll dive deep into complex operational challenges, including software, systems, automation, and process analysis. We are looking for candidates who can read, write, troubleshoot, and deploy all types of software to help us tackle the reliability challenges of large-scale deployments.

About You

10+ years relevant professional experience in reliability, platform, infrastructure, or software engineering, including 4+ years leading SRE teams.
Experience participating in a 24x7 on-call rotation for a large-scale deployment.
Ability to lead and collaborate on high-impact and complex projects from proposal through postmortem.
Proficient in AI-driven development, including designing and implementing agentic workflows
Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics.
Experience developing effective tools, services, alerts, and responses to identify and address reliability risks.
Investigative ability to root-cause sources of instability in high-traffic, distributed systems.
Deep experience administering and troubleshooting Linux and web technologies.
Ability to implement automation around infrastructure provisioning and configuration management to prioritize efficiency, scalability, and reliability.
Foresight to help identify the future technical direction of our deployment with the goal of improving reliability and performance.
Advanced programming skills enabling close partnership with software engineers to triage production issues and identify appropriate remediation, including code changes and performance considerations.
Ability to leverage cloud-native services and architectures to enhance reliability and scalability, with hands-on experience packaging and deploying applications using Docker and Docker Compose.

Compensation

$243,800 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.

Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.

Our Team Member Support Guide explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.

Hiring Process

Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire.

Diversity, Equity and Inclusion

DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.

Please note that:

You’ll be required to attend meetings on camera via video conferencing
Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
A successful candidate must pass a background check as a condition of joining the team.
By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.

Disclosure Statement: Use of AI in Hiring Process

As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.

Key Principles:

Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy. We ensure that your personal information is protected and used solely for recruitment purposes.
Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.

By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!

Apply About employer

More about this job

Responsibilities

You will lead the Site Reliability Engineering team to build and maintain scalable, high-performance infrastructure for millions of users. This role involves deep operational work, including software deployment, automation, and troubleshooting complex distributed systems.

Requirements

Candidates must have 10+ years of experience in reliability or software engineering, with at least 4 years in a leadership capacity. Proficiency in high-level programming languages and deep expertise in Linux and cloud-native architectures are required.

Skills

Site Reliability Engineering
Infrastructure Engineering
Linux
Go
Perl
TypeScript
Python
Docker
Cloud-native services
Automation
Distributed systems
Configuration management
Agentic workflows
Performance tuning
Team leadership
On-call management

Benefits

Stock options
Health benefits
Paid parental leave
Office setup allowance
Co-working allowance

Remote locations

Argentina
Austria
Bosnia and Herzegovina
Brazil
Bulgaria
Canada
Croatia
Cyprus
Czechia
Estonia
Greece
Hungary
Iceland
Ireland
Israel
Japan
Kyrgyzstan
Latvia
Malta
Mauritius
Mexico
Poland
Portugal
Romania
Singapore
Slovakia
Slovenia
South Africa
Spain
Switzerland
UK
Uruguay
USA

Remote locations (standardized)

Argentina
Austria
Bosnia and Herzegovina
Brazil
Bulgaria
Canada
Croatia
Cyprus
Czechia
Estonia
Greece
Hungary
Iceland
Ireland
Israel
Japan
Kyrgyzstan
Latvia
Malta
Mauritius
Mexico
Poland
Portugal
Romania
Singapore
Slovakia
Slovenia
South Africa
Spain
Switzerland
United Kingdom
United States
Uruguay

Visa sponsorship

Not detected in the job text

Keywords

Site Reliability Engineering
Infrastructure
Linux
Perl
Go
TypeScript
Python
Docker
Docker Compose
Cloud-native
Automation
Distributed systems
Configuration management
Agentic workflows
Scalability
Reliability
Performance
On-call
Software engineering
Platform engineering
Anti-fraud
Privacy
AI
Remote-first
Leadership
Metrics
Troubleshooting
Deployment
Postmortem
Web technologies

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