ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale.
We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence.
Work Location: Hyderabad, India
Use testing tools and frameworks to assist with and streamline automation testing and reduce test cycles.
Identify, document, and track defects, collaborating with development teams to resolve issues efficiently.
Creating and maintaining integration testing environments on-premises and in AWS.
Creating and maintaining test data needed to execute automation tests.
Daily CI test automation runs results analysis.
Conduct manual and automated testing to verify software and hardware functionality.
Incorporating and running test automation scripts within the CI process.
Participate in code reviews of automated scripts and tests.
Investigating new tools and processes, and frameworks to enable efficient, effective automation testing.
Qualities you possess
Familiarity with Python.
Experience with creating, maintaining and execution test automation scripts written in Python and/or JavaScript with an optional BDD layer like Cucumber/Gherkin.
Working knowledge and usage of continuous integration and auto build/deploy/test tools such as Jenkins.
Familiarity with VMware and AWS environments.
Must be a self-starter who is highly organized, hands-on, and a team player
Natural team-player who can work seamlessly with engineers across the organization.
Attention to detail.
Passion and curiosity.
Scale and Performance testing experience is a plus
Security testing experience is a plus
Must have:
Ability to create individual test cases and test plans.
Ability to at least read Python code.
Experience with Linux.
Good communication skills.
Self-starter, must be able to learn quickly.
Good to have:
3 years operating on an Agile Engineering Team with a solid understanding of SDLC.
Experience with AI assisted testing frameworks/tools (e.g,Tabnine, Codex, Cursor etc.,)
Cucumber experience.
Use of Jenkins Pipelines.
Experience with Jira. Xray experience is a huge plus for test case management.
Experience with VMWare VM management.
AWS EC2 instance management.
Experience with Behave Driven Development (BDD). Especially with use of Gherkin syntax.
Experience with containerization technologies like Docker and Kubernetes.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.
About ScienceLogicScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.
www.sciencelogic.com
Skills Required
- Familiarity with Python and ability to read Python code
- Experience creating, maintaining, and executing test automation scripts in Python or JavaScript
- Working knowledge of continuous integration and automated build, deployment, and testing tools such as Jenkins
- Familiarity with VMware and AWS environments
- Ability to create individual test cases and test plans
- Experience with Linux
- Good communication skills
- Self-starter with ability to learn quickly
- Teamwork, organization, hands-on approach, attention to detail, passion, and curiosity
- Three years operating on an Agile Engineering Team with solid SDLC understanding
- Experience with AI-assisted testing frameworks or tools such as Tabnine, Codex, or Cursor
- Cucumber and BDD experience, including Gherkin syntax
- Experience using Jenkins Pipelines
- Experience with Jira and Xray
- Experience with VMware virtual machine management
- Experience managing AWS EC2 instances
- Experience with Docker and Kubernetes
- Scale and performance testing experience
- Security testing experience
ScienceLogic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ScienceLogic and has not been reviewed or approved by ScienceLogic.
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Fair & Transparent Compensation — Pay is considered fair or competitive for many roles, with some positions—especially in sales—described as offering strong compensation. Feedback suggests overall pay-and-benefits sentiment trends moderate to positive compared with other internal metrics.
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Flexible Benefits — Work flexibility, including remote or hybrid options, is often cited alongside compensation as a valued part of the package. Feedback suggests these arrangements enhance perceived overall rewards.
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Inclusive Benefits Coverage — Employee Resource Groups are executive-led and visible, indicating attention to inclusion within the benefits ecosystem. Feedback suggests this support helps foster community and belonging.
ScienceLogic Insights
What We Do
ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to predict and resolve problems faster in a digital, ephemeral world. Its IT infrastructure monitoring and AIOps solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.
