At a Glance
- Tasks: Ensure quality and performance of Salesforce Health Cloud and Marketing Cloud solutions.
- Company: Intellias is a tech-driven company prioritising people and innovation in healthcare and marketing.
- Benefits: Enjoy a supportive atmosphere, professional growth opportunities, and a commitment to diversity and inclusion.
- Why this job: Be part of a collaborative team focused on healthcare innovation and impactful technology solutions.
- Qualifications: Experience with Salesforce, Selenium, Python, SQL, and a passion for quality assurance.
- Other info: Join a culture that values your unique contributions and perspectives.
The predicted salary is between 36000 - 60000 £ per year.
Join our dynamic team as a Salesforce QA Engineer where you\’ll play a critical role in ensuring the quality, performance, and integrity of infrastructure-driven solutions across Salesforce Health Cloud and Marketing Cloud. This is an exciting opportunity to contribute to a highly collaborative, fast-paced environment focused on healthcare innovation and marketing automation.
What project we have for you
The project centers on maintaining and enhancing an enterprise-grade Salesforce Health Cloud and Marketing Cloud implementation. The scope includes restoring and extending an existing test automation model that supports data validation and quality assurance processes for outbound production pipelines. Integration, extract validation, and API development are key components. The role also supports infrastructure deployments and data flows from upstream sources through to production.
What you will do
- Develop and maintain test automation scripts using Selenium and Python
- Restore and extend a previously implemented QA model tailored to the client\’s environment
- Validate outbound extracts and ensure data integrity across systems
- Collaborate with Data Engineering to test data pipelines and workflows in Snowflake
- Work closely with DevOps to ensure production pushes are tested, stable, and compliant
- Identify and resolve data quality issues through rigorous validation and automated checks
- Contribute to continuous improvement of QA practices and infrastructure integration
What you need for this
- Proven experience with Salesforce Health Cloud and/or Marketing Cloud QA
- Strong hands-on skills with Selenium for test automation
- Experience with Python for API test development
- Solid understanding of SQL for data validation and extract testing
- Experience working with JavaScript
- Familiarity with data quality frameworks and production release cycles
- Ability to work independently while collaborating with DevOps, Data Engineering, and Application Development teams
What it\’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That\’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
Python
Salesforce
SQL #J-18808-Ljbffr
Salesforce QA Engineer - Infrastructure Focus employer: Intellias
Contact Detail:
Intellias Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Salesforce QA Engineer - Infrastructure Focus
✨Tip Number 1
Familiarise yourself with Salesforce Health Cloud and Marketing Cloud. Understanding the specific features and functionalities of these platforms will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your Selenium and Python skills. Since the role involves developing test automation scripts, being able to showcase your hands-on experience with these tools during discussions can set you apart from other candidates.
✨Tip Number 3
Network with current or former employees of Intellias. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your experience with data validation and quality assurance processes. Be ready to share specific examples of how you've identified and resolved data quality issues in past projects, as this is a key aspect of the role.
We think you need these skills to ace Salesforce QA Engineer - Infrastructure Focus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Salesforce Health Cloud and Marketing Cloud, as well as your skills in Selenium, Python, and SQL. Use specific examples to demonstrate your expertise in test automation and data validation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quality assurance and healthcare innovation. Mention how your background aligns with the responsibilities of the role, particularly in maintaining and enhancing test automation models.
Showcase Relevant Projects: If you have worked on similar projects, describe them briefly in your application. Highlight your contributions to test automation, data integrity, and collaboration with cross-functional teams like DevOps and Data Engineering.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a QA Engineer role.
How to prepare for a job interview at Intellias
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Salesforce Health Cloud and Marketing Cloud. Highlight specific projects where you've used Selenium for test automation and Python for API development, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to identify and resolve data quality issues. Share examples of how you've tackled similar challenges in previous roles, particularly in relation to data validation and automated checks.
✨Emphasise Collaboration
Since the role involves working closely with DevOps and Data Engineering teams, be ready to discuss your experience in collaborative environments. Mention any tools or practices you’ve used to facilitate teamwork and communication.
✨Prepare for Scenario-Based Questions
You might face scenario-based questions related to infrastructure deployments and data flows. Think about past experiences where you had to ensure stability and compliance during production pushes, and be ready to explain your approach.