Software Development Engineer in Test (SDET)

Groupe Kardol; Laurel (MD); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Elite Technical in the Washington DC area is seeking a Senior SDET to join our testing team, focusing on automation and manual testing of an in-house Claims Processing Platform.

The role requires strong analytical skills, experience with Selenium-based tools, Python/Java, SQL, and healthcare payor testing such as 835/837. Hybrid work with 1–2 onsite days.

Qualifications

• Bachelor's degree or higher preferred; 5+ years in software testing/automation.
• Healthcare payor testing experience (835/837) required.
• Experience with modern testing frameworks beyond Selenium.
• Strong analytical and problem-solving abilities.

Responsibilities

• Create test plans and test cases to identify defects and verify fixes.
• Execute manual and automated tests; document results and coverage.
• Collaborate with developers to resolve issues and improve quality.
• Maintain testing scripts, data, and traceability across cycles.

Skills

Software testing

Test automation

Manual testing

Automation tools

Healthcare Payor environment

Selenium

Playwright

Python

Java

SQL

Jira

AWS

Docker

Kubernetes

Git

CI/CD

Jenkins

LangChain

Pandas

Education

Bachelor's degree

Tools

Selenium

Playwright

APIs testing frameworks

Oracle

Snowflake

Jira

FACETS

QNXT

AWS

Docker

Kubernetes

Git

LangChain

Pandas

CloudBees

Jenkins

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Elite Technical, is seeking the following.

LOCAL CANDIDATES ONLY-Candidates must already reside locally in the Washington DC area. Final interview is a face to face interview in Washington DC or Canton MD .

• Prior experience working within a Healthcare Payor Environment, specifically supporting 835 and 837 testing efforts is REQUIRED****

Job Description

Our client is seeking a SDET to join our client''s team to support the testing activities (Automation and Manual) of their in-house Claims Processing Platform. Key Responsibilities:

Responsible for analyzing the moderately complex requirements, operational problems, specifications and change requests. Produce test plans and test cases to determine presence and scope of potential code defects. Monitor accurate and thorough test cases, scripts and data with pre-determined results within specified scheduled dates. Perform test execution of all assigned test cases. Research and provide technical support on operational/test system defects and propose solutions.

Analyzes test results to ensure functionality meets requirements and recommends corrective action if necessary. Maintains documentation of test results to assist in debugging and modification of software. Consults with development engineers in resolution of problems. Provides feedback in preparation of technical appraisals of systems, application interfaces and application software.

This position is a contract to permanent opportunity offering a career stability and growth! This position is a hybrid opportunity (1-2x onsite per week in Maryland and/or Wash DC office).

Bachelors degree + 5 years of experience is required (if no degree, 9 years is required)

5+ years of experience in software testing and test automation (Manual and Automation)

Prior experience working within a Healthcare Payor Environment, specifically supporting 835 and 837 testing efforts

Experience with modern testing frameworks beyond Selenium

Strong analytical and problem-solving abilities

Required Technical Skills

Programming Languages: Python, Java/Selenium, SQL

Test Automation: Selenium, Playwright, API testing frameworks

Databases: Oracle and Snowflake-

Jira or similar SDLC tool

Nice to have

HIPAA Certification-

FACETS and/or QNXT-

Knowledge of context engineering for AI-driven testing

Cloud & DevOps: AWS services, Docker, Kubernetes, Git

CI/CD: CloudBees or Jenkins

AI/ML Frameworks: AWS Bedrock, LangChain, Pandas, and other popular Machine Learning libraries