Blitzy Logo

Blitzy

Automation Engineer

Reposted 21 Days Ago
Be an Early Applicant
In-Office
Cambridge, MA, USA
120K-145K Annually
Mid level
In-Office
Cambridge, MA, USA
120K-145K Annually
Mid level
Build, extend, and scale automated testing frameworks and CI/CD validation to verify runtime behavior and performance of AI-generated applications across multi-language, distributed production environments. Implement end-to-end and integration tests, runtime monitoring, quality metrics, and automated detection of runtime issues while collaborating with AI engineers to improve platform reliability.
The summary above was generated by AI

Automation Engineer

 

About Blitzy

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Location: Cambridge, MA (In-Person Role)

Compensation: $90,000 - $145,000 + Equity

 

The Role

We are looking for an Automation Engineer to own, extend, and scale our automated testing frameworks that validate the runtime behavior of code generated by our AI platform. This role is critical in ensuring that our platform’s output performs correctly in production environments. You’ll work at the intersection of AI and quality assurance, expanding test coverage and improving the testing solutions that validate AI-generated applications during actual execution.

 

What Success Looks Like

  • You expand and maintain automated testing frameworks that validate the runtime behavior and performance of AI-generated applications.

  • You develop intelligent test suites that automatically assess application functionality in production environments.

  • You extend existing testing frameworks to increase coverage and validate runtime behavior across multiple languages and frameworks.

  • You establish quality metrics and testing protocols that measure real-world performance of generated applications.

  • You build systems to automatically detect and flag runtime issues in deployed applications.

  • You collaborate with our AI team to improve the platform based on runtime performance data.

  • You implement automated integration and end-to-end testing that ensures generated applications work as intended in production.

  • You develop metrics and monitoring systems to track runtime performance across different customer deployments.

 

Areas of Ownership

  • Own the evolution and expansion of our automated testing frameworks for AI-generated code, increasing coverage and reliability.

  • Drive and expand end-to-end and integration testing coverage across production environments.

  • Drive runtime monitoring and quality assurance standards across multi-language deployments.

  • Manage CI/CD pipeline integration for continuous quality validation.

  • Collaborate cross-functionally with AI engineers to surface and resolve platform-level quality issues.

 

Required Experience

  • 3+ years of experience with Playwright and automated testing frameworks.

  • Strong expertise in Python (our primary automation language).

  • Experience with CI/CD tools (GitHub Actions or similar).

  • Proficiency in version control systems (Git).

  • Experience testing distributed systems.

  • Understanding of modern software development practices.

  • Experience working with cloud platforms (GCP preferred).

 

What Makes You Stand Out

  • Experience with runtime monitoring and testing of distributed systems.

  • Knowledge of performance testing and APM (Application Performance Monitoring).

  • Experience with end-to-end testing of complex, enterprise-grade applications.

  • Understanding of distributed tracing and monitoring.

  • Experience with chaos engineering and resilience testing.

 

What Makes This Role Different

This isn't a traditional QA role. You'll be at the forefront of a category-defining company, building testing infrastructure for AI-generated software that is transforming how Fortune 500 enterprises build products. You will have direct impact on the quality and reliability of an autonomous development platform moving at unprecedented speed—where your frameworks determine whether AI-built software is production-ready at scale. The challenges are novel, the stakes are high, and the team is world-class.

 

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

  • We move Blitzy Fast: Time is both our company's and our clients' most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.

  • Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.

  • Passion for Invention: We're pushing the frontier of what's possible, requiring constant innovation and iteration.

  • We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.

We believe in being 'everyday athletes'—taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

Similar Jobs

9 Days Ago
Remote or Hybrid
United States
80K-160K Annually
Senior level
80K-160K Annually
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Build and deploy production micro-apps and LLM-powered agents on a governed GCP platform. Integrate AI with systems (Salesforce, Slack, NetSuite, SQL), harden apps with auth, secrets, CI/CD, logging and monitoring, automate maintenance, and implement evaluation and observability for model quality and drift.
Top Skills: AgentforceAuthentication/IdentityBraintrustCi/CdClaudeGCPLangfuseLangsmithLlmsLoggingMonitoringNetSuitePgvectorPineconePythonSalesforceSecrets ManagementSlackSQLVertex Ai Vector Search
9 Days Ago
Remote or Hybrid
United States
70K-125K Annually
Junior
70K-125K Annually
Junior
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Contribute to building and hardening micro-apps and AI integrations on a shared GCP platform. Complete bug fixes and small features, participate in code and design reviews, apply security and software development best practices, monitor applications and follow runbooks, and use AI tools to assist development, testing, and documentation while learning from senior engineers.
Top Skills: Ai/LlmAPIsAuthenticationAutomated TestingCi/CdConfluenceDockerGoogle Cloud Platform (Gcp)JIRALoggingPythonSaaSSecrets ManagementSQLTerraform
Yesterday
Remote or Hybrid
United States
105K-140K Annually
Senior level
105K-140K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design, build, and deploy AI agent plugins and integrations for HR systems (Moveworks/Serval, ServiceNow, Workday). Lead technical analysis, API-based integrations, automation workflows, testing, documentation, and stakeholder collaboration to ensure secure, scalable HR automation solutions.
Top Skills: APIsAutomation AnywhereAWSAzureC++GCPInsomniaJavaJSONJwtKnimeMoveworksOauth2PostmanPythonRestServalServicenowServicenow RpaSoapUipathWebhooksWorkdayWorkday HcmXML

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account