Software Development Engineer in Test (SDET)

AI Cybersecurity Company; San Francisco (CA); On-site; USD 87,000 - 186,000; Full time

Job summary

An exciting startup in San Francisco is seeking a Software Development Engineer in Test (SDET) to develop automation frameworks and ensure quality in data applications. Join a dynamic team with substantial funding, a collaborative environment, and significant growth opportunities in the cybersecurity sector.

Benefits

Equity options

Access to latest AI tools

Qualifications

• 6+ years overall in Quality Assurance with 3+ years in SDET.
• Proven experience in a software development environment.
• Experience with distributed systems preferred.

Responsibilities

• Build sustainable test automation strategies for data pipelines.
• Develop and maintain robust test automation frameworks using Golang.
• Automate regression testing for data pipeline changes.

Skills

Proficiency in Golang

Strong knowledge of automation testing methodologies

Experience with containerization

Education

Bachelor's degree in Computer Science or related field

5+ years industry experience

Tools

Golang

Docker

Kubernetes

Job description

Software Development Engineer in Test (SDET)

Software Development Engineer in Test (SDET)

Hiring Software Development Engineer in Test (SDET) for an exciting Startup in the SF Bay Area!

Are you passionate about cybersecurity and eager to make a significant impact? Join us at our cutting-edge startup in the San Francisco Bay Area, where we assemble a world-class team to tackle some of the most pressing challenges in cybersecurity.

Why Join Us?

• $25M Seed Funding: We are well-funded, having raised $25 million in our seed round, which provides the resources to innovate and scale rapidly.
• Proven Early Success with Fortune 500 Customers: We have begun partnering with Fortune 500 companies, achieving early success and fostering trust in our innovative solutions. This highlights the immense potential and reliability of our AI-powered cybersecurity offerings.
• Experienced Leadership: Our founding team comprises second- and third-time entrepreneurs, each with over 25 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals, positioning us to lead in AI-powered cybersecurity.
• World-Class Leadership Team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.
• Cutting-Edge AI Solutions: Our team leverages the most advanced AI technologies, including large language models (LLMs) and Generative AI.
• Generous Compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.

About the Role:

Strategic Leadership & Quality Assurance:

• Collaborate with the development team to build sustainable test automation strategies for data pipelines and distributed systems
• Drive accountability and ownership across relevant teams to maintain testing best practices
• Identify project needs and establish QA best practices that account for team resources, roadmap, and quality standards
• Uphold high quality standards using user impact as a primary factor in testing decisions
• Act as subject matter expert for data pipeline testing activities and mentor junior team members

Technical Implementation & Automation:

• Create and maintain robust test automation frameworks using Golang for data pipeline testing
• Develop sophisticated mock data generation tools and synthetic datasets for comprehensive testing coverage
• Write, maintain, and execute automated test scripts for functionality, performance, and reliability testing of data systems
• Build automated testing solutions for RESTful APIs, gRPC services, and data processing workflows
• Conduct automated regression testing to validate data pipeline changes and updates
• Develop tools to collect operational data and metrics from testing activities

Collaboration & Process Improvement:

• Work closely with engineering and product teams to understand data pipeline requirements and align on testing goals
• Define comprehensive testing strategies and test plans for data-intensive projects
• Assist in development and maintenance of CI/CD pipelines for data applications
• Document test automation processes, findings, and results for reference and reporting purposes
• Stay current on emerging testing tools, best practices, and quality assurance trends in data engineering
• Assist DevOps teams in defining and maintaining testing environments for data systems
• Work with containerized environments and Kubernetes for scalable test execution
• Maintain testing databases and related components for data pipeline validation

Required Qualifications

Education & Experience:

• Bachelor's degree in Computer Science, Software Engineering, or related field OR 5+ years of industry experience
• 6+ years overall in Quality Assurance with 3+ years minimum in test automation development or SDET experience
• Proven experience as an SDET or similar role in a software development environment, preferably with data systems

Technical Skills:

• Proficiency in Golang (required), Python, or TypeScript with strong focus on Golang for data pipeline testing
• Strong knowledge of automation testing methodologies, tools, and best practices for data-intensive applications
• Proven experience in mock data generation and synthetic data creation for testing purposes
• Experience with distributed systems, microservices, and cloud technologies
• Understanding of data processing frameworks (Kafka, Spark, Airflow) and testing approaches
• Experience with containerization (Docker, Kubernetes) and cloud platforms (preferably Azure)

Core Competencies:

• Solid experience in Object-Oriented Programming, data structures, algorithms, and distributed systems
• Understanding of multi-threading, concurrency, and parallel processing technologies
• Experience with relational and NoSQL databases testing
• Knowledge of CI/CD pipeline development and maintenance
• Experience working in agile development environments

Preferred Qualifications

• Experience testing machine learning and large data applications
• Experience with data quality monitoring and alerting systems
• Knowledge of data governance and compliance testing requirements
• Experience with performance testing of data systems under load
• Familiarity with data pipeline orchestration tools and workflow management
• Experience with modern quality tools (Jira, Confluence, test case management systems)

Our Culture and Team

• Collaborative Environment: You’ll join a dynamic, fast-paced startup where innovation thrives and every team member's voice is valued.
• World-Class Leadership: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s best and most influential companies, ensuring top-tier mentorship and strategic direction.
• Growth Opportunities: We support your professional development through mentorship, access to industry conferences, and opportunities to work on cutting-edge AI projects that make a global impact.
• Diversity and Inclusion: We are committed to building a diverse and inclusive team that brings a variety of perspectives to solving today’s cybersecurity challenges.

Work Location

Our office is in the Silicon Valley Center in North San Jose, CA, providing a collaborative environment where innovation thrives.

Perks and Benefits

• Equity options ensure you have a stake in the company’s success.
• Access to the latest tools and technologies for AI/ML development.

Ready to join us on this groundbreaking journey? Apply today to become part of our mission to revolutionize cybersecurity with AI!

#Devops #Software Development #Azure #microservices #kubernetes #Cybersecurity #Startup #Hiring #SanFranciscoBayArea #Innovation #TechJobs

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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