WITS Innovation Lab

Job Title: QA Automation Engineer

Experience: 2–5 Years

Employment Type: Full-Time

Job Description

We are looking for a skilled QA Automation Engineer who has hands-on experience in automating web and API testing. The ideal candidate should be strong in Java and Selenium, with a good understanding of API testing and automation frameworks.

Key Responsibilities

• Design, develop, and maintain automation test scripts using Java
• Perform UI automation testing using Selenium
• Execute and automate API testing using Rest Assured / Postman
• Validate backend data through database testing using SQL
• Integrate automation test suites with CI/CD pipelines
• Collaborate with developers and QA team to identify, report, and track defects
• Participate in test planning, test execution, and regression testing

As an Eloqua Email Specialist, you will play a critical role in Global Marketing Organization by

owning the end-to-end process of email campaign creation, execution, and optimization. This

includes designing product-focused marketing campaigns, building email, and managing Eloqua

campaign workflows to deliver exceptional customer engagement and measurable business

results.

An ideal candidate will bring extensive experience with Eloqua, proficiency in HTML,

JavaScript and CSS, and a strong understanding of product-based marketing. Your ability to

create responsive and dynamic designs, coupled with knowledge of email best practices, will

ensure campaigns resonate with target audiences and meet performance objectives.

Key Responsibilities

 Email Campaign Development:

o Design and execute email marketing strategies, including promotional

campaigns, automated flows, and newsletters.

o Build and customize emails using advanced HTML, CSS, and JavaScript for

dynamic, visually appealing designs.

o Leverage Eloqua’s email editor and capabilities to develop emails tailored to

complex design requirements.

 Journey Campaigns Management:

o Manage email journey campaigns end-to-end, from strategy to execution,

ensuring seamless user experiences.

o Develop and implement lifecycle marketing workflows aligned with campaign

goals.

 Product-Focused Marketing:

o Collaborate with stakeholders to understand product offerings and create

campaigns that highlight key features and benefits.

o Translate product marketing strategies into compelling email content that drives

customer interest and action.

 Analytics and Optimization:

o Monitor and analyze key email metrics (open rates, CTRs, conversions) and

provide actionable insights for campaign optimization.

o Conduct A/B testing and audience segmentation to refine strategies.

 Compliance and Deliverability:

o Ensure all campaigns comply with GDPR, CAN-SPAM, and email marketing

regulations.

o Monitor and maintain list health, ensuring optimal deliverability.

 Collaboration:

o Work with internal stakeholders (regional leads, web infrastructure, and GTM

teams) to ensure alignment with branding and business priorities.

o Partner with design teams to create engaging visual content that resonates with

target audiences.

 Innovative Trends:

o Stay updated on industry trends and apply new ideas to improve campaign

effectiveness and design.

Qualifications

Must-Have Skills:

 Proficiency in Eloqua, with the ability to fully leverage and customize the platform’s

capabilities.

 Advanced HTML design skills, including responsive design and interactive elements.

 Strong JavaScript coding expertise for creating dynamic and personalized email content.

 Demonstrated experience in product-based marketing, crafting campaigns that align

with product strategies and target audience needs.

 Experience managing complex email journey campaigns from concept to execution.

Preferred Qualifications:

 Bachelor’s degree in marketing, Communications, Business, or related fields.

 Eloqua Master’s Course Certification from Oracle.

 Knowledge of CAN-SPAM, GDPR, and email compliance best practices.

 Strong analytical and organizational skills with a creative problem-solving mindset.

Responsibilities

• Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models
• Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes
• Automate the training, testing and deployment processes for machine learning models
• Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability
• Implement best practices for version control, model reproducibility and governance
• Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness
• Troubleshoot and resolve issues related to model deployment and performance
• Ensure compliance with security and data privacy standards in all MLOps activities
• Keep up to date with the latest MLOps tools, technologies and trends
• Provide support and guidance to other team members on MLOps practices

Required Skills And Experience

• 3-10 years of experience in MLOps, DevOps or a related field
• Bachelors degree in computer science, Data Science or a related field
• Strong understanding of machine learning principles and model lifecycle management
• Experience in Jenkins pipeline development
• Experience in automation scripting

Responsibilities: 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and performance 8. Ensure compliance with security and data privacy standards in all MLOps activities 9. Keep up to date with the latest MLOps tools, technologies and trends 10. Provide support and guidance to other team members on MLOps practices

Required skills and experience: • 3-10 years of experience in MLOps, DevOps or a related field • Bachelor’s degree in computer science, Data Science or a related field • Strong understanding of machine learning principles and model lifecycle management • Experience in Jenkins pipeline development • Experience in automation scripting