D

Docker

Containerization platform for building apps

Senior Salesforce Developer

Full-Time
CA$156.4k - CA$223.5k+ Equity + US$100 monthly technology stipend
Senior
Remote in USA+1 moreMore locations: Remote in Canada
Remote
IT OperationsEnterprise Applications
No H1B Sponsorship

About the job

Requirements
  • At least 5 years of hands-on Salesforce development experience in enterprise environments.
  • Deep expertise with Apex, Lightning Web Components (LWC), SOQL/SOSL, Salesforce APIs, Flow automation, and platform security.
  • Experience designing and implementing integrations using MuleSoft.
  • Strong understanding of Salesforce DevOps and CI/CD practices.
  • Experience working with Agile development methodologies.
  • Strong analytical, communication, and problem-solving skills.
Responsibilities
  • Design, develop, test, and deploy scalable Salesforce solutions across Sales Cloud, Service Cloud, and integrated third-party systems.
  • Lead the architecture and implementation of Salesforce customizations, including Apex, Lightning Web Components (LWC), Flows, integrations, and platform automation.
  • Partner with stakeholders across Go-To-Market and Operations teams to gather requirements and translate business needs into technical solutions.
  • Improve and maintain Salesforce data architecture, security model, sharing rules, profiles, permission sets, and governance standards.
  • Build and support integrations between Salesforce and external platforms such as MuleSoft, NetSuite, CPQ, ERP, marketing automation, customer support, and data platforms.
  • Drive platform optimization, technical debt reduction, and continuous improvement initiatives.
  • Own the Salesforce DevOps and release management lifecycle while establishing engineering best practices, including Gearset administration, source control, testing frameworks, CI/CD pipelines, deployment governance, production change management, and technical documentation.
  • Participate in roadmap planning and provide technical leadership for strategic Salesforce initiatives.
  • Manage Agentforce, Slackbot, AI skills, and other AI Salesforce offerings.
  • Troubleshoot complex production issues and implement scalable long-term solutions.
  • Familiarize yourself with the Salesforce team, instance, code base, best practices, design principles, and deployment methodologies during the first 30 days.
  • Engage with Product teams to prioritize project deliverables during the first 30 days.
  • Introduce yourself to cross-functional teams during the first 30 days.
  • Evaluate technology architecture performance and refactor code during the first 90 days.
  • Engage with the Technical Architect and System Administrators to identify solutions to pain points during the first 90 days.
  • Continue building best practices to make the Salesforce instance performant, secure, and scalable during the first 90 days.
  • Deliver to project requirements independently within the first year.
  • Develop subject matter expertise in the Salesforce instance.
  • Own the Salesforce ecosystem as it relates to third-party tooling, integrations, dependencies, and other upstream and downstream systems.
Desired Qualifications
  • Familiarity with NetSuite and quote-to-cash business processes.
  • Experience working in high-growth SaaS or technology companies.
  • Salesforce Platform Developer I or II certification.
  • Experience with Salesforce CPQ and billing systems.
  • Experience with RevOps or quote-to-cash processes.
  • Familiarity with data warehousing, analytics, or AI-driven workflows.
  • Experience supporting global sales organizations.

About the company

Docker builds, shares, and runs applications in isolated containers by packaging an application and its dependencies into a container image that runs consistently across different systems. It provides tools like Docker Desktop for local development, Docker Hub as a container image repository, and a command-line interface to build, run, and manage containers. It differentiates itself with a large ecosystem, an official image repository, and integrated tools that support an end-to-end container workflow. The company aims to help developers consistently build, share, and run software across any environment, using a freemium model with subscription tiers and additional services.

Company Size

1,001-5,000

Company Stage

Series C

Total Funding

$526M

Headquarters

Palo Alto, California

Founded

2013

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Simplify Jobs

Simplify's Take

What believers are saying

  • Docker added Mat Velloso and Vinh Le on August 18, 2026, sharpening AI execution.
  • Cloud Sandboxes boot in hundreds of milliseconds and scale to 16 vCPUs.
  • Docker is submitting Kits to CNCF, positioning itself as the agent standard.

What critics are saying

  • Podman Desktop and free registries like Harbor undercut Docker Desktop and Hub pricing.
  • Docker Cloud Sandboxes remain experimental in docs, and one-hour expirations disrupt long jobs.
  • If OCI-native Kits standardize without Docker, the company becomes a replaceable runtime wrapper.

What makes Docker unique

  • Docker Cloud Sandboxes launched September 24, 2026, extending agent isolation from laptop to cloud.
  • Docker's Sandbox Kit Spec v3 packages permissions, tools, and volumes into OCI images.
  • Docker unifies Hub, Desktop, and AI governance across one developer workflow.

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Benefits

Flexible Work Hours

Home Office Stipend

Parental Leave

Phone/Internet Stipend

Unlimited Paid Time Off

Professional Development Budget

Company Equity

Health Insurance

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
PR Newswire
Sep 24th, 2026
BAND partners with Docker to enable safe sandboxed execution for multi-agent AI teams

BAND has partnered with Docker to integrate sandboxed local execution into its multi-agent collaboration platform. The integration enables developers to run AI agents inside Docker Sandboxes' isolated microVM environments whilst connecting them to larger agent teams through BAND's platform. The BAND Python Kit for Docker Sandboxes allows agents to work with local codebases in isolated environments while communicating with other agents and humans in BAND rooms. BAND provides collaboration infrastructure, including persistent agent identities and shared rooms, whilst Docker Sandboxes offers isolated execution with its own kernel and filesystem. The architecture enables sophisticated workflows where hosted and local agents can collaborate. A BAND room might contain hosted planning and research agents alongside a local coding agent in a Docker Sandbox, with only the local agent accessing the repository. The integration addresses challenges as AI agents evolve from chat interfaces to autonomous systems requiring safe code execution and collaboration capabilities.

Associated Press
Sep 24th, 2026
Docker launches cloud sandboxes for secure AI agent execution beyond local machines

Docker has launched Docker Cloud Sandboxes, enabling AI agents to run in cloud infrastructure rather than on developers' laptops. The solution extends Docker's secure local sandbox isolation to the cloud, allowing agentic workflows to continue running after machines shut down. The service lets developers start work locally and shift to the cloud without switching environments. Cloud Sandboxes boot in hundreds of milliseconds and scale from 1 to 16 vCPUs without requiring infrastructure provisioning. Docker also introduced next-generation Kits, an open specification for packaging agentic sandboxes as standard OCI images. The company plans to submit the Kits specification to the Cloud Native Computing Foundation. Docker Cloud Sandboxes are available now at docker.com/products/docker-sandboxes.

Associated Press
Aug 18th, 2026
Docker names Mat Velloso CPO and Vinh Le CFO to lead agentic AI expansion

Docker has appointed Mat Velloso as chief product officer and Vinh Le as chief financial officer to strengthen its leadership team as the company expands into agentic workflow management. Velloso brings 15 years of experience from Microsoft, where he advised the CTO and CEO, and later worked with Google AI Studio and Meta on AI strategy. At Docker, he will drive product strategy to help customers secure and manage agentic workflows at enterprise scale. Le joins from PolyAI, bringing experience from Electronic Arts, Tanium, and BetterUp. He will lead Docker's global finance organisation and support the company's growth strategy. Docker positions itself as a trusted platform for building software in what it calls the "agentic era", helping organisations deploy autonomous agents whilst maintaining security and governance.

Wikipedia
May 14th, 2026
Docker, Inc.

Docker, Inc. is an American technology company that develops productivity tools built around Docker, which automates the deployment of code inside software containers via OS-level virtualization.[1][2] Major commercial products of the company are Docker Hub, a central repository of containers, and Docker Desktop, a GUI application for Windows, Linux and macOS to manage containers. The historic offering was Docker Enterprise PaaS business, acquired by Mirantis.[3] The company is also an active contributor to various CNCF projects, such as containerd and runC. The main open source offering of the company are Docker Engine and buildkit which are rebranded under the Moby umbrella project. The core specification, Dockerfile, still includes the company trademark, however.

TechCrunch
Mar 13th, 2026
Docker partners with NanoClaw creator weeks after viral AI agent tool launch

NanoClaw creator Gavriel Cohen has struck a deal with Docker to integrate Docker Sandboxes into his open-source AI agent-building tool, capping a whirlwind six weeks since the project's launch. Cohen built NanoClaw in a weekend as a secure alternative to OpenClaw, using just 500 lines of code compared to OpenClaw's 800,000. The project exploded after AI researcher Andrej Karpathy praised it on X, garnering 22,000 GitHub stars and 4,600 forks. Cohen has since shut down his AI marketing startup, which was on track for $1 million in annual recurring revenue, to launch NanoCo around the project. The company plans to offer commercial services including forward deployed engineers to help companies build secure AI agents, though specific monetisation plans remain under development. VCs are already calling, Cohen says.