Software Engineer in Test II - Data Platform

Okta•Bellevue, WA

39d•Hybrid

About The Position

Okta is seeking an experienced Senior Software Test Engineer as an infrastructure test engineer for our Data Platform team. We are looking for a candidate who embraces total ownership and is passionate about automated infrastructure, engineering process, and quality assurance in the whole CI/CD pipeline with AI adoption to best serve the quality of our data streaming processing and ML platform.

Requirements

3+ years of quality engineering with hands-on test automation experience
3+ years experience with Selenium and/or API testing using Java
3+ years of experience with observability tools (Splunk, Datadog, Grafana)
B.S. Computer Science or related field (or equivalent experience)
Proficiency in SQL and Python for data validation, scripting, and automation.
Experience developing of high-quality automation and software tests with minimum supervision and guidance
Ability to leverage AI tools (e.g., GitHub Copilot, Gemini, OpenAI API, Claude, ChatGPT, etc.) to enhance productivity and problem-solving.
Ability to integrate AI-powered assistants into daily workflows to improve efficiency in research, documentation, coding, and communication.
Continuous learning mindset with the ability to adapt to new and evolving AI technologies
Ability to quickly learn new technologies and provide input
This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

Responsibilities

Automate API tests, End-to-End tests, reliability/scale tests
Review requirements and design specs to develop relative test plans and test cases
Work with engineering management to scope and plan engineering efforts
Clearly communicate and document QE plans for scrum teams to review and comment
Automate all critical features to maintain zero-debt cadence
Release features with solid quality to customers
Respond to Production issues/alerts and customer issues during on-call rotation
Work with ETL frameworks such as Apache Airflow, dbt, or Informatica and message queues like Apache Kafka, RabbitMQ, or similar tools for data ingestion.
Familiarity with modern data warehouses like Snowflake, BigQuery, or Redshift, and traditional systems like Hive or PostgreSQL
Help with mentoring new hires and interns.