Title: Quality Engineer 2 Reports to: QA Manager Job Summary: The Granicus Quality Engineer 2 contributes to the overall quality of multiple software platforms, executing on quality initiatives throughout the entire testing lifecycle. Responsibilities include, but are not limited to, test case creation, manual testing, defect analysis, status reporting, and generating metrics as required. Experience with automated testing is highly desirable. Granicus releases new features and functionality frequently, and the QE team is on the cutting edge of everything we do. In this role you and your team become key product experts and drive how new features are implemented. Essential Functions: Develop and execute test cases for new product enhancements Identify areas of risk and mitigate those areas to ensure stable releases Ensure quality criteria is met for all areas before product release Debug and triage failures, escalating issues as warranted Qualifications: Bachelors degree in Computer Science/Information Technology or related field; or software test related experience/knowledge 3-5+ years of software testing experience, or equivalent, in a professional software development environment 3+ years’ experience in a web-based testing environment Experience with exploratory/edge/corner testing techniques and risk-based testing Strong attention to detail Ability to multitask, prioritize, and quickly adjust in a rapidly changing environment Preferred Skills: Familiarity and experience executing automated test scripts using Selenium IDE, Playwright, or Katalon Familiarity working within an agile software development process (XP) Experience with cross-browser and mobile device compatibility testing Experience testing web services Experience in a SaaS environment Examples of Possible Performance Metrics: Customer-reported production defects are under a certain threshold Overall test coverage is increased Risk-assessment is created for components going into a releaseRole & responsibilities

Position Overview: We are looking for a highly skilled and experienced Lead Software Engineer with expertise in Java or Ruby and a strong understanding of AWS. The ideal candidate will have a proven track record of leading feature development, mentoring junior developers, and designing robust features or infrastructure. A solid grasp of OOPs concepts and functional strength is essential, with additional knowledge of GoLang, Python, or NodeJS being a plus. Key Responsibilities: - Lead the design, development, and deployment of scalable software solutions. - Mentor and guide junior developers, fostering their technical growth. - Collaborate with cross-functional teams to deliver high-quality features. - Design and implement infrastructure or features with a focus on scalability and reliability. - Ensure adherence to best practices in software development and cloud architecture. - Promote a strong understanding of OOPs concepts and functional programming principles. Required Skills and Qualifications: - Proficiency in Java or Ruby programming languages. - Strong knowledge of AWS services and cloud architecture. - Experience as a lead developer, managing teams and feature development. - Clear understanding of OOPs concepts and their practical application. - Functional strength in problem-solving and software design. Preferred Qualifications: - Knowledge of GoLang, Python, or NodeJS. - Experience with designing infrastructure or complex features. - Familiarity with Agile methodologies and DevOps practices. Education and Experience: - Bachelors degree in Computer Science, Engineering, or a related field. - 9+ years of experience in software development, with at least 2 years in a lead role.

Data Scientist Position Overview We are seeking an experienced Data Scientist 4 to join our team. In this role, you will manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring. You will apply advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to address complex challenges and develop high-impact solutions. Your role will involve leading projects, collaborating with cross-functional teams, and driving data-driven decision-making across the organization. Responsibilities Advanced Model Development: Design, develop, and implement sophisticated machine learning and deep learning models for applications such as customer churn prediction, recommendation systems, and advanced anomaly detection. Programming and Libraries: Utilize Python and its advanced libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and optimize models. ¢ Generative AI Exploration: Leverage cutting-edge generative AI techniques to create innovative solutions for complex problems and enhance engagement strategies. ¢ Leadership and Collaboration: Lead cross-functional teams, including product managers, engineers, and data analysts, to translate business needs into effective data-driven solutions. ¢ Integration and Deployment: Oversee the integration of models into production systems, ensuring seamless deployment and performance. ¢ Pipeline Management: Develop and maintain robust data pipelines for ingestion, transformation, and model training. ¢ Performance Monitoring: Continuously monitor model performance, conduct evaluations, and implement improvements as necessary. ¢ Communication and Strategy: Communicate complex technical concepts clearly to stakeholders and contribute to strategic data science initiatives. ¢ Best Practices and Innovation: Drive the development of best practices, tools, and frameworks for data science and machine learning, staying abreast of industry advancements. Qualifications - Required ¢ Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related quantitative field. ¢ 7+ years of experience in data science, machine learning, or a relevant domain. ¢ Proficiency in Python programming and extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn). ¢ Proven track record of delivering production-ready AI/ML solutions. ¢ Strong expertise in machine learning and deep learning algorithms and techniques. ¢ Experience with generative AI models and advanced data science techniques. ¢ Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib). ¢ Experience with cloud platforms and big data technologies (e.g., AWS). ¢ Excellent problem-solving, analytical, and leadership skills. ¢ Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. Qualifications - Preferred ¢ Experience with advanced techniques such as graph neural networks, reinforcement learning, or similar. ¢ Familiarity with agile development methodologies and DevOps practices. ¢ Experience with containerization technologies (e.g., Docker, Kubernetes). ¢ Contributions to open-source projects or published research in machine learning, deep learning, or generative AI. ¢ Experience working with government or public sector data. ¢ Proficiency with data visualization tools (e.g., Tableau, Power BI).

Salesforce System Analyst (Night Shift India-based) Location: Remote (India-based) Shift: Night shift to overlap with EST Type: Full-time About the Role We are looking for a detail-oriented and proactive Salesforce System Analyst to support our Service Cloud operations. This role is ideal for someone who has hands-on Salesforce experience, strong stakeholder engagement skills, and a passion for organizing and driving cross-team initiatives. You will work closely with the Salesforce Solution Architect and Manager for Service Support, and business stakeholders across departments to support delivery, scoping, and project administration for ongoing enhancements and strategic initiatives. Key Responsibilities Assist in requirement gathering, scoping, and documentation of Salesforce Service Cloud projects (e.g., new voice flows, email templates, design). Support project coordination across internal teams and business units, ensuring clear task ownership and timely follow-up. Create and maintain structured documents, diagrams, and user stories to support delivery. Help triage, analyze, and prioritize incoming Jira tickets; align with the Manager to categorize based on business impact. Maintain and support Salesforce configurations, especially for Experience Cloud, Knowledge, Case Management, Service Voice, Einstein Bot, Agent Force (desired), Omni-Channel, and Entitlements. Serve as a liaison between the technical team and business stakeholders across time zones to ensure clear understanding and execution of solutions. Conduct basic impact analysis, prepare release notes, and assist in UAT coordination. Monitor and help manage escalations, customer-reported issues, and email-to-case or system behavior anomalies. Participate in backlog grooming, sprint planning, and other agile rituals as required. Qualifications Salesforce Certified Administrator (required); additional certifications (Service Cloud Consultant, Experience Cloud Consultant, etc.) are a plus. 5+ years of experience working with Salesforce Service Cloud, including hands-on configuration and/or business analysis. Strong written and verbal communication skills in English. Demonstrated experience working with stakeholders, managing expectations, and documenting clear business requirements. Familiarity with Agile/Scrum, Jira, and Confluence (or similar tools). Ability to work independently during night shifts and proactively follow up on pending items. Preferred Skills Experience with Salesforce Experience Cloud, Knowledge Management, Service Cloud, Omnichannel, among others. Knowledge in voice solutions in Salesforce (Service Voice, Amazon Connect, etc.). Comfortable creating diagrams (e.g., Lucidchart, draw.io) and writing business-facing documentation. AI integration knowledge is a strong plus, especially if familiar with Salesforce AI features or leveraging metadata/taxonomy for enhanced search, routing, or content recommendations.