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Vp, Infrastructure Engineering

docker

Remoto Seattle, WA
Uncategorized

Job Score

90 pts
Remote model (+90)

Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.

We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.

Docker is seeking an exceptional VP of Infrastructure to lead the Bridge engineering organization and drive the strategic evolution of our core platform. Bridge is the connective tissue of Docker's business, encompassing Billing, Identity & Access Management, Data, Operations, Developer Tools and Platform Infrastructure. This role is accountable for all of it.

What separates a good candidate from the right one is anticipation. Docker's products move fast, enterprise customers have complex and evolving requirements, and the market doesn't wait. We need a leader who reads the business trajectory well enough to design, build, and launch foundational infrastructure capabilities before the rest of the company knows they need them. You will own the reliability, scalability, and strategic direction of the platform that every Docker product depends on.

Reporting directly to the VP of the Container Platform, you will lead a multi-disciplinary organization of 30+ engineers and managers, partnering closely with Finance, Product, Legal, and Go-to-Market teams to deliver platform capabilities that power Docker's next phase of growth.

Responsibilities

Strategic Leadership

  • Define and own the long-term technical strategy for Bridge including Billing, IAM, Data, Operations, and Platform Infrastructure. You will partner with your Product team to ensure alignment with Docker's product roadmap and company growth objectives.

  • Operate as a strategic partner to executive leadership, proactively identifying platform capabilities and constraints that shape product and business decisions.

  • Anticipate infrastructure needs 12–18 months ahead of product demand, initiating foundational work before the business surfaces the requirement.

  • Drive cross-functional initiatives to unlock new business models, pricing strategies, compliance requirements, and enterprise go-to-market motions.

  • Establish Bridge platform as a durable competitive advantage through reliability, developer self-service, and enterprise flexibility.

Platform Architecture & Engineering

  • Architect and oversee development of scalable, highly available infrastructure spanning billing and subscription management, identity and access management, data pipelines, and core platform services.

  • Lead technical decisions around build vs. buy, vendor selection, and platform integration strategies across all five domains.

  • Ensure platform supports complex enterprise requirements including multi-seat licensing, usage-based billing, SSO/SAML/OIDC, granular policy hierarchies, and sophisticated financial reporting.

  • Champion engineering excellence: API-first design, zero-trust security posture, microservices architecture, and cloud-native operational practices.

  • Own end-to-end reliability, driving 99.9%+ uptime across billing-critical and identity-critical systems.

Team Leadership & Development

  • Lead and grow a high-performing organization of 30+ engineers and managers across Billing, IAM, Data, Operations, and Platform Infrastructure.

  • Foster a culture of technical excellence, psychological safety, and deep customer empathy across all Bridge teams.

  • Mentor engineering managers and senior ICs, developing the next generation of technical leadership within the organization.

  • Partner with Talent Acquisition to recruit top-tier engineering talent across a competitive market.

Operational Excellence

  • Establish robust operational practices ensuring platform reliability, security, and compliance across all Bridge systems.

  • Implement comprehensive monitoring, alerting, and incident response procedures, with clear SLAs and escalation paths.

  • Drive compliance initiatives including SOX, PCI DSS, GDPR, and evolving international tax and data residency requirements.

  • Define and track success metrics across all five domains, creating transparency with stakeholders and leadership.

Cross-Functional Partnership

  • Collaborate with Product Management to translate business requirements into durable platform capabilities rather than one-off solutions.

  • Work with Finance to ensure accurate revenue recognition, billing operations, and forecasting capabilities at scale.

  • Partner with Sales and Customer Success to enable complex enterprise deal structures, custom contracts, and customer-specific billing requirements.

  • Support Marketing and Growth teams with experimentation infrastructure for pricing, packaging, and conversion optimization.

Qualifications

Required

Experience & Leadership

  • 12+ years of engineering experience, with at least 7 years in an executive-level engineering leadership role (VP or equivalent).

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

  • Demonstrated track record of leading platform or infrastructure organizations of 20+ engineers across multiple functional domains.

  • Proven ability to anticipate business needs and deliver infrastructure capabilities proactively, ahead of demand.

  • Strong business acumen with the ability to translate technical platform capabilities into measurable business outcomes.

  • Excellent communication skills with experience influencing across product, finance, legal, and executive audiences.

Technical Expertise

  • Deep background in distributed systems, cloud-native architecture, and platform engineering at scale (AWS, GCP, or Azure).

  • Hands-on expertise or strong working knowledge in at least two of the five Bridge domains: billing/payments, identity & access management, data engineering, developer infrastructure, or platform operations.

  • Experience with billing and subscription management systems (Stripe, OpenMeter, Chargebee, or similar) and the operational complexity of running them in production.

  • Familiarity with enterprise IAM concepts including SSO, SAML, OIDC, RBAC, and policy enforcement at scale.

  • Proficiency in modern programming languages (Go, Python, Java, or similar) and cloud data technologies.

Domain Knowledge

  • Deep understanding of subscription billing, usage-based pricing, and enterprise contract management.

  • Working knowledge of revenue recognition principles, financial controls, and compliance frameworks (SOX, PCI DSS).

  • Experience navigating international billing requirements, tax compliance, and data residency obligations.

  • Familiarity with B2B SaaS business models, developer-focused products, and enterprise procurement dynamics.

Preferred

  • Experience at high-growth developer tools, infrastructure software, or open-source companies.

  • Background running platform engineering teams that serve both internal and external consumers.

  • Experience with container technologies, Kubernetes, or cloud-native development ecosystems.

  • Track record of successful large-scale system migrations or platform modernization programs.

  • Experience scaling an engineering organization through rapid company growth or significant product expansion.

Docker considers visa sponsorship on a case-by-case basis based on business needs.

Perks

  • Freedom & flexibility; fit your work around your life

  • Designated quarterly Whaleness Days plus end of year Whaleness break

  • Home office setup; we want you comfortable while you work

  • 16 weeks of paid Parental leave (after 6 months of employment)

  • Technology stipend equivalent to $100 USD net/month

  • PTO plan that encourages you to take time to do the things you enjoy

  • Training stipend for conferences, courses and classes

  • Equity; we are a growing start-up and want all employees to have a share in the success of the company

  • Docker Swag

  • Medical benefits, retirement and holidays vary by country

  • Remote-first culture, with offices in Seattle and Paris

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.

#LI-REMOTE

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The Frontend area is responsible for creating the visual interfaces that users interact with on websites and web applications. Frontend professionals combine technical skills with design to deliver intuitive, responsive, and accessible digital experiences.

Key skills include HTML, CSS, JavaScript/TypeScript, frameworks like React, Angular, and Vue, build tools (Webpack, Vite), CSS (Tailwind, Sass), testing (Jest, Cypress), and knowledge of web performance and accessibility (WCAG). Familiarity with design systems and reusable components is a differentiator.

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About Branding

Branding is the area responsible for building, managing, and strengthening a brand's identity and market value. Branding professionals create strategies that define how the brand is perceived by the public, from the logo to the complete customer experience.

Key skills include brand strategy, visual identity, brand guidelines, positioning, naming, brand voice, market research, brand equity, and brand management. Knowledge of graphic design (Figma, Illustrator, Photoshop), storytelling, and brand experience is a differentiator.

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Expert Tip

The 2026 AI Boom: The Most Valuable Tech Careers and How to Land Six-Figure Remote Jobs

We are halfway through 2026, and one thing is crystal clear: the "experimental" phase of Artificial Intelligence is officially over. While 2023 and 2024 were characterized by awe over chatbots drafting emails and generating images, 2026 has solidified AI as the core infrastructure of global enterprises. The transition from standalone "AI tools" to Autonomous Agents and Multi-Agent Systems has radically transformed the job market.

For Tech, Design, and Digital Marketing professionals across the United States, 2026 represents the greatest window of opportunity of the decade to secure top-tier, 100% remote roles with highly lucrative six-figure compensations.

In this article, we will break down the current AI job landscape, backed by recent data, and list the top careers that startups and Fortune 500 companies are desperately trying to fill.

The Current Landscape: 2026 Data and Projections

The market isn't just hiring standard developers anymore; it's hiring intelligence orchestrators. According to recent Future of Work reports:

  • Exponential Growth: The World Economic Forum (WEF) 2026 update highlights that roles focused on AI, Machine Learning, and Big Data have grown by 45% compared to 2024, cementing them as the fastest-growing fields nationwide.
  • Corporate Adoption: Data published by Gartner earlier this year reveals that over 80% of Fortune 500 companies are now running Generative AI applications in production environments. This has created a massive demand for AI maintenance, ethics, and governance.
  • The Remote Premium: An internal analysis from Mondywork's database (which tracks integrations with major ATS platforms like Greenhouse and Ashby) shows that 73% of US-based AI roles are Remote-First. The average salary for senior specialists in these roles currently exceeds the $140,000 to $180,000 annual range, plus equity.

The 5 Hottest AI Opportunities in 2026

If you want to tailor your resume and LinkedIn profile to be easily captured by modern recruiting algorithms, these are the positions with the highest talent deficit in the US market right now:

1. MLOps and LLMOps Engineers (Operations Engineering)

Large Language Models (LLMs) are like Formula 1 engines: they need a full pit crew to avoid crashing on the track. The industry has realized that putting AI into production is vastly different from running a local model.

  • What they do: Manage infrastructure, oversee the model lifecycle, handle fine-tuning with proprietary company data, and ensure the AI does not suffer from large-scale hallucinations.
  • Hot Search Terms: MLOps, LLMOps, Platform Engineering, Data Ops, Kubernetes for AI.

2. Prompt Engineer & AI Interaction Designer

The profession many thought would be a passing fad has heavily evolved. The 2026 Prompt Engineer is not just someone who "talks well to machines"; they are complex logical system designers.

  • What they do: Sitting at the intersection of Software Engineering and UX Design, these professionals design system prompts for Autonomous Agents, build RAG (Retrieval-Augmented Generation) flows, and structure how AI safely interacts with end-users.
  • Hot Search Terms: Prompt Engineering, NLP, AI Behavior Design, UX Writer for AI.

3. Analytics Engineer / Structured Data Specialist

AI is completely useless without clean data. The classic Data Scientist role has yielded massive ground to the Analytics Engineer, the professional who bridges the gap between raw data engineering and business analysis.

  • What they do: Prepare, model, and transform chaotic data lakes into crystal-clear sources so enterprise AI models can consume data and generate real-time insights.
  • Hot Search Terms: Analytics Engineer, dbt, Snowflake, Computer Vision, BigQuery.

4. AI Product Manager (AI PM)

Companies are tired of building AI features "just because." Now, they need these features to drive serious revenue (ROI). The AI-focused Product Manager is the conductor of this orchestra.

  • What they do: Understand the technical limitations of modern LLMs, translate user pain points into viable AI solutions, and manage the product roadmap while ensuring the technology complies with strict privacy laws (like CCPA and GDPR).
  • Hot Search Terms: AI Product Manager, CPO, Product Ops, AI Governance.

5. AI Growth Marketer / High-Performance Media Buyer

In the digital marketing realm, 2026 is the year of autonomous campaign orchestration. Marketers still relying on 100% manual campaign creation are rapidly losing ground to those who can direct predictive AI.

  • What they do: Leverage Machine Learning and advanced AI tools for autonomous Conversion Rate Optimization (CRO), automated A/B testing, mass content generation, and predictive consumer behavior analysis.
  • Hot Search Terms: Growth Marketing, Media Buyer, Programmatic, AI Copywriting, Martech.

How to Prepare and Get Found (Beating the ATS Filters)

US companies utilize incredibly rigorous Applicant Tracking Systems (ATS) like Workday, Greenhouse, and Lever. They configure recruiting bots to filter resumes using fine-mesh keyword grids.

If you want to land these highly competitive roles, the golden rule is to mirror the exact industry jargon:

  • Don't just write "Data Analyst"; use "Data Ops" or "Analytics Engineer".
  • Don't just list "Cloud Support"; highlight "FinOps", "Cloud Architect", or "Platform Engineer".
  • Replace the outdated "Digital Marketer" with "Growth Ops" or "Performance Manager".

Mondywork Does the Heavy Lifting for You

The US market is fiercely competing for top-tier talent. Startups and tech giants are looking for highly skilled professionals ready to collaborate across different time zones in fully remote environments. That is exactly why Mondywork exists. Our proprietary algorithm scans the largest global Job Boards to find verified, high-paying, and 100% remote Tech, Design, and Marketing opportunities.

Don't miss the chance to ride the biggest technological revolution of our generation.

👉 Subscribe now to Mondywork's Job Alerts


Macroeconomic Reference Sources:

  • World Economic Forum - The Future of Jobs Report 2026 Update.
  • Gartner - Hype Cycle for Artificial Intelligence, 2026.
  • McKinsey Global Institute - The Economic Potential of Generative AI (Revisited 2026).