The Associate Manager will manage and support the RPA SDLC, oversee existing bots in production, and liaise with business teams to implement RPA solutions. The role requires resolving blockers for offshore teams and providing business process support during business hours.

Lead and support the software development team by managing task assignments, defining deliverables, and creating application architectures. Participate in feature planning, requirements gathering, and IT project scoping meetings. Ensure adherence to best practices to deliver optimal solutions.

The Site Reliability Engineer will design, build, and maintain large-scale data infrastructure and processing systems. Responsibilities include optimizing data integration, ensuring data quality, implementing security measures, collaborating with cross-functional teams, and establishing monitoring mechanisms. The role also involves leveraging devesecops practices and exploring new frameworks and cloud services to enhance data processing capabilities.

The Senior Consultant will conduct software and systems analysis, manage the IT product backlog, and coordinate the installation of software applications. The role involves analyzing business requirements and utilizing Agile methodology to oversee project development stages while maintaining knowledge of current IT trends.

The Senior Associate will manage the payroll processes for USA employees, ensuring compliance with applicable laws and accuracy in payroll operations, and resolving any payroll-related inquiries.

The Test Engineer will be responsible for developing test plans and strategies, executing test cases for various types of testing, identifying and reporting defects, and collaborating with developers and product managers to ensure software quality.

The Senior Data Architect will lead the design of data architectures that support advanced analytics and compliance within the healthcare sector. Responsibilities include defining data governance frameworks, collaborating with stakeholders, assessing emerging technologies, and mentoring team members.

The Senior Software Engineer will develop and maintain web applications using Django, ensure integration and performance, and collaborate with cross-functional teams. Responsibilities include UI redesign, database management, API maintenance, and optimizing application performance.

The Associate Software Engineer will design and develop GenAI models using Python and deep learning frameworks. Responsibilities include deploying models on cloud platforms, setting up observability tools, and managing data pipelines. Knowledge of LLMOps practices and big data technologies is required, along with experience in containerization and orchestration.

The Application Architect will lead the development and deployment of Java microservices on cloud platforms like GCP and Azure. Responsibilities include technical solutioning, building proposals, providing project estimations, leading discussions with clients, and ensuring adherence to coding standards.

The Java Architect will be responsible for designing and implementing complex software solutions, utilizing Java and React for full-stack development. The role includes working with AWS and Azure Cloud technologies, implementing microservices, and collaborating with teams to solve complex technology problems. Leadership and mentoring of engineering teams are also key responsibilities.

The Sr. Angular Technical Lead will be responsible for developing and maintaining applications using Angular, Typescript, JavaScript, and related technologies. They will provide architectural guidance, ensure code quality, and lead the technical team while working in a hybrid environment.

The Senior BI Engineer is responsible for developing and maintaining business intelligence solutions using Tableau and Qlik, creating data visualizations and dashboards, writing complex SQL queries, and collaborating with stakeholders to ensure data accuracy and operational efficiency.

The Senior Software Engineer will develop, maintain, and enhance applications using Perl scripting and SQL databases. Responsibilities include unit testing, optimizing application performance, and participating in code reviews as part of an agile team, while utilizing strong analytical and problem-solving skills.

The role involves gathering and analyzing business requirements for Web API and application integration projects. It requires translating these requirements into functional specifications while ensuring quality assurance and effective communication between stakeholders and the development team. The analyst will also focus on improving business processes and documenting project progress.

The Senior Software Engineer will design, develop, and maintain full-stack applications using Java and React. Responsibilities include writing efficient code, participating in code reviews, troubleshooting software issues, and collaborating with teams to implement features. The role requires developing APIs, ensuring application performance, and maintaining databases.

The Engineering Manager will lead a team of full-stack engineers, ensure performance and scalability of applications, drive software development from inception to delivery, and mentor team members on best engineering practices.

The Senior UI Path RPA Analyst will execute end-to-end automation projects using UiPath, design automation processes according to RE Framework standards, analyze ROI for automation solutions, and interact with clients to meet their automation needs, especially in the healthcare domain.

The Software Engineer will work extensively with Python for ETL processes, transforming data within Databricks and using Azure services. Ideal candidates should have a strong background in data engineering, data pipeline construction, and optimizing ETL processes, along with experience in leading data engineering projects.

The Senior Python Machine Learning Engineer will design and develop generative AI models using various frameworks and cloud platforms. Responsibilities include deploying and scaling these models, managing CI/CD pipelines, and working on deep learning architectures, data pipelines, and observability tools to ensure optimal performance in production.