Automation Engineer

Angel and Genie; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Angel and Genie is seeking a candidate for a software automation testing role in Bengaluru, India. The position requires expertise in automation testing principles and hands-on experience with data processing platforms, preferably with Python as the primary scripting language.

Ideal applicants should possess strong problem-solving skills, excellent communication abilities, and familiarity with SQL and CI/CD tools, while experience with Databricks and API testing tools is advantageous.

Qualifications

• 2–4 years of experience in software automation testing or QA engineering.
• Solid understanding of automation testing principles and lifecycle.
• Proficient in at least one scripting or programming language.
• Hands-on experience with data platforms and big data processing.
• Familiarity with SQL for complex queries.
• Exposure to CI/CD tools and practices.
• Strong problem-solving skills and independence.

Skills

Software Automation Testing

QA Engineering

Python

SQL

CI/CD Tools

Problem-Solving

Communication Skills

Tools

Databricks

Postman

Jenkins

GitHub Actions

Job description

RequiredQualifications

• 2–4yearsofexperienceinsoftwareautomationtesting,QAengineering,oracloselyrelateddiscipline.
• Solidunderstandingofautomationtestingprinciples—testdesign,testpyramid,boundaryconditions,regressionstrategy,anddefectlifecycle.
• Proficiencyinatleastonescripting/programminglanguage(Pythonstronglypreferred)forwritingtestscriptsandautomationframeworks.
• Hands-onexperienceorstrongconceptualunderstandingofdataplatformsandbigdataprocessing(Databricks,Spark,PySpark,orsimilar).
• FamiliaritywithSQLandtheabilitytowritecomplexqueriesfordatavalidationandreconciliation.
• ExposuretoCI/CDtoolsandpractices(GitHubActions,Jenkins,GitLabCI,orequivalent).
• Strongproblem-solvingskillsandtheabilitytoworkindependently—definetheproblem,designthesolution,anddeliverit.
• Goodcommunicationskills;abletodocumentfindingsclearlyandraiseriskseffectively.

PreferredQualifications

• DirectexperiencewithDatabricks—notebooks,DeltaLake,UnityCatalog,orDatabricksWorkflows.
• ExposuretoAI/MLvalidationconcepts—modelevaluationmetrics,regressiontestingforMLmodels,orprompt/outputvalidationforLLM-basedsystems.
• ExperiencewithdataqualitytoolssuchasGreatExpectations,dbttests,Soda,orcustom-builtvalidationframeworks.
• Familiaritywithhealthcaredatastandards(HL7,FHIR,claimsdata,ADTfeeds)—aplus,notamust.
• ExperiencewithAPItestingtools(Postman,RestAssured,pytest-httpx)tovalidatedatainterfacesandservicecontracts.
• Understandingofclouddataenvironments(AWSS3,AzureDataLake,GCPBigQuery)andhowdataflowsthroughthem.
• Exposuretoversioncontrolbestpractices,codereviewculture,andengineeringdocumentation.