Demo

Software Development Engineer in Test with Strong Python exp

aKube, Inc.
Santa Monica, CA Full Time
POSTED ON 4/13/2025
AVAILABLE BEFORE 5/5/2025

Job Description

City : Santa Monica, CA

Onsite / Hybrid / Remote : Remote near hub, Candidates in West Coast preferred

Duration : 18 months

Rate Range : $103 / hr on W2 depending on experience (no C2C or 1099 or sub-contract)

Work Authorization : GC, USC, All valid EADs except H1b

Top MUST HAVE Skills :

1) Python is a MUST HAVE. They must have Strong Python knowledge base. This project is deep in server side and Database.

2) Prefers Selenium Experience - If they have strong Python but basic level Selenium, that is OK.

3) Must have SQL - This group will be database testing and they should have queries experience

Qualifications :

  • Education : Bachelor's or Master's in Computer Science, Software Engineering, or related field.
  • Technical Skills : Proficient in Python or similar object-oriented languages, automation tools (e.g., Selenium, JUnit), data engineering, SQL, and big data technologies (e.g., Spark, Hadoop).
  • Testing Experience : Proven experience in automated testing (API, UI, integration, data validation), ETL / data accuracy validation, and end-to-end acceptance testing.
  • Problem-Solving : Strong diagnostic skills for data processing and system integration issues; familiarity with CI / CD tools.
  • Collaboration : Excellent cross-team collaboration, communication, and documentation skills.
  • Preferred : Experience with AWS or cloud platforms, Agile methodologies, machine learning, and data privacy best practices.
  • Minimum of 4 years of hands-on software test development experience, including both functional and non-functional test development.

Key Responsibilities :

  • Work closely with Software Engineers to understand the complex advertising ecosystem at DMED Technology.
  • Develop automated test frameworks and suites for API, UI, Integration, and data validation levels using Python.
  • Participate in design discussions to evolve the platform, enabling richer testing scenarios and simplifying defect detection and prevention.
  • Assist with triage, diagnosis, and resolution of issues discovered across teams.
  • Contribute to end-to-end acceptance tests.
  • Develop and execute manual test cases when automated testing is not feasible.
  • Leverage experience in data analytics, data engineering, data modeling, and data warehousing to enhance testing strategies and improve data quality throughout the development lifecycle.
  • Work with big data platforms to validate large-scale data sets, ensuring they meet the testing and business requirements.
  • Drive the conversion of manual tests to automated tests whenever possible.
  • Additional Responsibilities :

  • Monitor and validate data used in test scenarios to ensure it accurately represents real-world conditions.
  • Work collaboratively with data engineers and other stakeholders to develop processes for improving data quality and ensuring its consistency across testing environments.
  • Implement test automation for data validation to increase the efficiency and reliability of testing processes.
  • Salary : $103

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