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Mesh Automation Jobs (NOW HIRING)

Overview We are seeking a QA Automation Engineer to own the quality engineering function end-to-end ... Mesh is a global company with headquarters in San Francisco, California USA. This candidate will ...

Overview At Mesh, we're building an AI-first company where intelligence is embedded into how we ... automation * Experience building automations, integrations, internal tooling, and workflow ...

API Automation

Dallas, TX · On-site

$100K - $110K/yr

... mesh (traffic control, resiliency, rate limiting, observability) Data & Integration • Apache Airflow for orchestration and workflow scheduling • Legacy ETL modernization and pipeline automation ...

Implement service mesh architectures using Istio and related technologies. * Develop automation tools and operational utilities using Python and Golang. * Establish observability frameworks utilizing ...

OR

$141K - $175K/yr

Overview Mesh is looking for a Project Manager to be the operational backbone of our most complex ... High Leverage & Automation: You ruthlessly optimize and automate your own operational workflows.

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Mesh Automation information

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$37K

$107.1K

$163K

How much do mesh automation jobs pay per year?

As of Jun 21, 2026, the average yearly pay for mesh automation in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What is the difference between Mesh Automation vs Network Automation?

AspectMesh AutomationNetwork Automation
CredentialsCertifications in network management, automation tools, and protocolsCertifications like Cisco CCNA, CCNP, or network automation-specific courses
Work EnvironmentPrimarily in data centers, large-scale networks, and cloud environmentsIn enterprise, service provider, and data center networks
Industry UsageUsed for automating mesh network configurations and managementUsed for automating overall network operations and provisioning

Mesh Automation focuses on automating the setup and management of mesh networks, which are interconnected nodes providing resilient connectivity. Network Automation covers a broader scope, including automating various network devices and configurations across different network types. While both roles require similar certifications and work environments, Mesh Automation specializes in mesh-specific protocols and architectures, making it essential for large-scale, resilient network deployments.

What are the typical challenges faced by professionals working in Mesh Automation, and how can they be addressed?

Professionals in Mesh Automation often encounter challenges such as integrating diverse devices and protocols within a mesh network, ensuring robust network security, and maintaining optimal performance as the system scales. Addressing these challenges typically involves continuous learning of new standards, close collaboration with firmware and network engineers, and proactive troubleshooting to identify and resolve connectivity issues. Additionally, staying current with the latest security practices and regularly testing network resilience help maintain a reliable and secure mesh environment.

What are the key skills and qualifications needed to thrive as a Mesh Automation Engineer, and why are they important?

To excel as a Mesh Automation Engineer, you generally need a strong background in networking, automation scripting (such as Python or Bash), and experience with mesh network protocols, often supported by a degree in computer science or a related field. Familiarity with network management tools, automation platforms (like Ansible or Puppet), and relevant certifications (e.g., CCNA, CWNA) is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex network issues. These abilities are crucial to ensure resilient, scalable, and efficient mesh network operations in modern IT environments.

What is Mesh Automation?

Mesh Automation refers to the use of interconnected systems and tools to automate workflows, processes, or device management across a network, often within IT infrastructure or industrial environments. It enables seamless communication and coordination between different components or services, improving efficiency and reducing manual intervention. Mesh automation is commonly used in settings like smart factories, IoT deployments, and cloud-native environments to ensure scalability, resilience, and faster response times.
More about Mesh Automation jobs
What cities are hiring for Mesh Automation jobs? Cities with the most Mesh Automation job openings:
What states have the most Mesh Automation jobs? States with the most job openings for Mesh Automation jobs include:
Infographic showing various Mesh Automation job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.
Senior QA Automation Engineer

Senior QA Automation Engineer

Mesh

San Francisco, CA

$100K - $200K/yr

Other

Posted 27 days ago


Job description

Overview

We are seeking a QA Automation Engineer to own the quality engineering function end-to-end. In this role, you will be responsible for designing automation frameworks, setting standards, and embedding quality into every step of the development lifecycle. As a core member of the team, you will not be a seat at the back of the sprint, but will work closely with engineers, product, and design to ship reliable, production-grade Web3 experiences. Mesh is a global company with headquarters in San Francisco, California USA. This candidate will work closely with the Engineering and Product teams spread across North America, Europe and India.

What You'll Do

  • Architect, build, and maintain robust end-to-end test automation frameworks using tools like Playwright.
  • Design test strategies that cover the full stack: UI, API, smart contract interactions, and wallet flows
  • Write and maintain tests for Web3-specific user journeys including wallet connection, transaction signing, contract interactions, and on-chain state verification
  • Integrate automated test suites into CI/CD pipelines and own the health of those pipelines
  • Leverage AI-powered development tools (Copilot, Cursor, Claude, etc.) to accelerate test authoring and framework development, and bring strong opinions on how to do this well
  • Identify gaps in test coverage, prioritize ruthlessly, and drive continuous improvement
  • Champion quality culture across the engineering org
  • Stay ahead of the curve on new testing tools, frameworks, and Web3 ecosystem shifts

Who You Are

Automation Expertise

  • 7+ years of experience in QA engineering with a strong focus on automation
  • Deep hands-on experience with Playwright and/or Cypress; familiarity with others (WebdriverIO, Selenium, Puppeteer) is a plus
  • Proficiency in at least one scripting/programming language (TypeScript, JavaScript, Python)
  • Experience designing and scaling test frameworks from the ground up, not just maintaining existing ones
  • Strong understanding of CI/CD practices and integrating tests into pipelines (GitHub Actions, CircleCI, etc.)

Web3 Knowledge

  • Working knowledge of core Web3 concepts: wallets (MetaMask, WalletConnect), transaction signing, smart contracts, gas, RPC endpoints, and on-chain/off-chain interactions
  • Experience testing dApps and writing tests that interact with or simulate blockchain state
  • Familiarity with testnets or mocking Web3 providers is a strong plus

AI-First Mindset

  • Active, hands-on user of AI code generation and developer tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT)
  • You have real opinions on where these tools shine and where they fall short - you've found the edges
  • You use AI to move faster without sacrificing rigor, and you can teach others to do the same

The Right Mentality

  • Self-starter who identifies problems and drives solutions without waiting to be asked
  • Comfortable with ambiguity and able to operate effectively in a fast-paced, resource-constrained startup environment
  • Curious by default, you read release notes, follow ecosystem developments, and enjoy going deep on new tools and technologies
  • Clear communicator who can translate quality risk into terms the whole team understands
Nice to Have
  • Prior experience at an early-stage or growth-stage startup
  • Exposure to performance, load, or security testing in Web3 contexts
  • Contributions to open-source testing tools or frameworks
  • Familiarity with blockchain explorers, event indexing, or subgraph testing

The annual base salary range for this role is $100,000-$200,000 in San Francisco and New York. The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate's experience, skills, qualifications, and geographic location. For candidates outside of San Francisco and New York, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances.