We are looking for a detail-oriented Software QA Automation Engineer to join our team. In this role, you will be responsible for building and maintaining automated test scripts that ensure the quality, reliability, and performance of our applications. You will collaborate closely with developers, QA team members, and product managers to deliver high-quality software in a fast-paced environment.

Responsibilities: 

• Develop, maintain, and execute automated test scripts for web, API, and/or mobile applications. 

• Collaborate with QA engineers, developers, and product managers to ensure adequate test coverage for new and existing features. 

• Participate in Agile ceremonies including sprint planning, standups, and sprint reviews to understand product requirements and testing needs. 

• Identify, document, and track software defects with clear, reproducible steps. 

• Perform regression, functional, and exploratory testing using both automation and manual testing approaches as needed. 

• Contribute to the design and improvement of automation frameworks and QA processes. 

• Support continuous integration and deployment pipelines by integrating automated testing into CI/CD workflows. 

Position Requirements: 

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 

• 5+ years of hands-on experience in software testing and automation. 

• Familiarity using AI tools as part of the automation process (Cursor preferred). 

• Proficiency in one or more programming or scripting languages such as TypeScript, Java, Python, JavaScript, or C#. 

• Experience with test automation tools such as Playwright, Cypress, Selenium, or Appium. 

• Experience with API testing tools such as Postman, RestAssured, or similar technologies. 

• Knowledge of CI/CD tools and version control systems such as Git, Jenkins, GitHub Actions, or GitLab CI. 

• Strong understanding of software testing methodologies, QA best practices, and Agile development processes. 

• Strong analytical and problem-solving skills with attention to detail. 

Preferred Qualifications:

• Experience with performance or load testing tools such as JMeter, Gatling, or Locust. 

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform. 

• Basic understanding of containerization technologies such as Docker or Kubernetes. 
• ISTQB or equivalent QA certification. 

Senior AI Quality Assurance Engineer

Role Overview

An AI Quality Assurance Engineer ensures the accuracy, reliability, and compliance of AI systems and models before deployment. This role is critical for validating AI-driven applications, detecting defects, and safeguarding against risks such as bias, hallucinations, and non-deterministic behavior. The position involves designing robust test strategies for machine learning models and collaborating with data scientists, ML engineers, and product teams to maintain high-quality standards.

Key Responsibilities

· Testing & Validation

o Develop and execute comprehensive test plans for AI models and systems.

o Perform manual and automated tests to validate AI functionality under various scenarios.

o Conduct bias detection, edge-case testing, and stress testing for AI models.

· Automation & Tools

o Design and implement automated testing frameworks for AI workflows.

o Utilize AI-powered QA tools and self-healing test scripts to improve efficiency.

· Compliance & Governance

o Ensure AI systems adhere to ethical guidelines, regulatory standards, and internal policies.

o Maintain documentation such as Generative AI Bill of Materials (BoM) for transparency and audits.

· Collaboration

o Work closely with ML engineers, data scientists, and product managers to resolve defects.

o Participate in code reviews and contribute to continuous improvement initiatives.

· Monitoring & Reporting

o Analyze test results, identify defects, and track quality metrics.

o Provide risk assessments and recommendations for AI deployments.

Required Skills & Qualifications

· Education: Bachelor’s in Computer Science, Software Engineering, or related field.

· Experience:

o 3–7 years in QA, with at least 2 years in AI/ML testing.

o Familiarity with non-deterministic testing and AI-specific QA challenges.

· Technical Expertise:

o Proficiency in Python and testing frameworks (e.g., PyTest, Selenium).

o Knowledge of ML frameworks (TensorFlow, PyTorch) and MLOps tools.

o Experience with CI/CD pipelines and cloud platforms (AWS, Azure, GCP).

· Soft Skills:

o Strong analytical and problem-solving abilities.

o Excellent communication and collaboration skills.

Preferred Skills

· Understanding of ethical AI principles and bias testing.

· Familiarity with low-code/no-code automation tools and AI-driven QA platforms.

· Knowledge of regulatory compliance for AI systems.

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#LifeAtBottomline

 Job Summary

The Senior Software Support Engineer at TreasuryXpress provides 3rd Level application support for the Global Payment Hub SaaS solution. This role focuses on troubleshooting, root cause analysis, and resolution of complex production issues across backend services, cloud infrastructure, and integrations. The engineer works closely with Engineering, QA, DevOps, and Product teams to ensure system stability, high availability, and customer satisfaction.

Key Responsibilities

• Application & Production Support

Provide 3rd Level support for TX applications and services.

Troubleshoot, diagnose, and resolve complex issues across .NET Core/.NET 8 backend services.

Analyze production incidents related to payments, bank connectivity, cash visibility, and forecasting workflows.

Perform deep debugging and root cause analysis, escalating to engineering teams when required.

Develop and deploy production hotfixes when required, following change and release procedures.

Enhance the in‑house AI‑based alerting and monitoring system.

• Incident Management & Communication

Handle support tickets based on defined priorities and SLAs.

Provide continuous status updates and resolution feedback to the Support Lead and stakeholders.

Support internal and external stakeholders via email, MS Teams, and ticketing systems.

Participate in on-call rotation and support activities outside of standard office hours.

• Cloud & Platform Support

Support cloud-native services running on Azure (AKS, Azure Functions, Azure Service Bus).

Investigate issues related to containerized workloads, messaging, and event-driven systems.

Monitor system health, performance, and availability in collaboration with DevOps teams.

• Database & Data Investigation

Troubleshoot data-related issues using PostgreSQL.

Write and execute SQL queries to investigate incidents and validate data integrity.

Assist with identifying data inconsistencies, performance issues, and transactional errors.

• Quality, Documentation & Continuous Improvement

Maintain and update support documentation, runbooks, and customer alerts.

Contribute to knowledge base articles and known-issue documentation.

Participate in post-incident reviews and recommend preventive or corrective actions.

• Cross-Team Collaboration

Work closely with Engineering, QA, DevOps, Architecture, and Product teams.

Participate in daily stand-ups, incident reviews, and technical discussions.

Support training sessions and knowledge transfer activities to improve overall support readiness.

Required Qualifications

• Bachelor’s degree in Computer Science or a related field.
• 4+ years of experience in Software Support, Application Support, or Software Engineering roles.
• Excellent written and spoken English is required.
• Strong experience troubleshooting .NET Core/.NET applications and Web APIs.
• Solid knowledge of Azure PaaS services, Docker, Kubernetes, and CI/CD pipelines.
• Strong experience with PostgreSQL and SQL-based investigations.
• Experience with secure systems, authentication, and identity providers.

Desired Skills & Experience

• Proven ability to debug complex production issues and drive them to root cause resolution.
• Hands-on experience with RESTful APIs, event-driven systems, and messaging platforms.
• Familiarity with Blazor-based applications and frontend/backend interaction.
• Experience with Git, Jira, and incident/ticket management workflows.
• Fintech or financial systems support experience is a strong plus.

Soft Skills

• Excellent communication skills with a strong customer and service mindset.
• Strong analytical and problem-solving abilities.
• Ability to work independently with minimal supervision.
• Dynamic, proactive, and motivated team player.
• Comfortable working in high-pressure, production-support environments.

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