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Arcesium
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SSE Test Engineering(AI)

SSE Test Engineering(AI)

Arcesium

2 - 4 years

4 - 6 Lacs

hyderabad

Posted:17 hours ago| Platform:

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Skills Required

unix computer science linux testing tools debugging data structures test cases software quality jira sdlc

Work Mode

Work from Office

Job Type

Full Time

Job Description

Company Overview

Team Summary

Test Engineering team plays a pivotal role in driving software quality with Arcesiums mission to power the entire investment lifecycle, helping clients achieve transformational business outcomes through its consultative approach, cloud-native technology, and deep domain expertise by ensuring correctness, completeness, security, and reliability, the team safeguards product excellence leveraging cutting-edge technologies and AI-driven approaches to elevate quality standards.

What you ll do:

Design, develop, and maintain automated test frameworks, tools, and scripts to validate complex financial applications and services.
Collaborate with developers, product managers, and QA teams to ensure high-quality deliverables from planning through deployment.
Analyze test results, report defects, and ensure clarity and reproducibility of issues.

What you ll need:

A Bachelors degree in Computer Science or a related discipline.
Solid fundamentals in OOP concepts, data structures, databases and algorithms applied to test automation.
Strong understanding of SDLC, QA life cycle and various testing methodologies including API, frontend and backend testing
Expertise with Linux/Unix systems, Jenkins, GIT, or equivalent industry-standard tools.
Experience with test management tools such as JIRA, TestRail, qTest, QC or similar tools.
Strong debugging, analytical, and problem-solving skills.
Familiarity with AI-driven testing tools (e.g., Testim, Mabl, Functionize, Diffblue, or LLM-based test generation).

Good to Have:

Performance and load testing experience (JMeter, Locust, Gatling).
Exposure to containerization and orchestration (Docker, Kubernetes).
Experience with cloud platforms (AWS, GCP, Azure) and testing cloud-native applications.
Hands-on experience with at least one AI/ML library or platform (e.g., Scikit-learn, Hugging Face, TensorFlow, or LangChain) for tasks like:
- Generation or optimizimation of test cases from requirements/user stories.
- Identify anomalies, flaky tests, and defect-prone modules.
- Automate test data generation and validation.
Exposure to Generative AI (GenAI) technologies and their application in software testing.

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SSE Test Engineering(AI)