The Sr. Software Development Engineer (Frontend) will design and implement client-side applications, develop scalable front-end solutions, contribute to architectural decisions, and collaborate with cross-functional teams. This role focuses on driving innovation in front-end technologies and building high-performing user interfaces.

As a Senior/Lead Software Engineer at HiLabs, you'll work closely with stakeholders to develop and implement scalable machine learning algorithms for healthcare solutions. Responsibilities include deploying AI/ML techniques, optimizing solutions, conducting data analysis, and leading a team to strategize healthcare AI applications.

The role involves full-stack application development with a focus on frontend technologies, including the creation of modular and reusable components. Responsibilities include managing the software development process, collaborating with the team, and ensuring high quality through best practices. Candidates should have significant experience with Java-based applications and various frontend frameworks.

The Sr. DevOps Engineer will manage cloud infrastructure, implement CI/CD pipelines, enhance cloud security, and collaborate with cross-functional teams to ensure efficient deployment processes. The role requires expertise in AWS, Kubernetes, Docker, and Infrastructure as Code methodologies to maintain and optimize systems in a healthcare SaaS environment.

The Software Test Engineer will conduct manual testing of web applications, manage quality control tasks, perform data entry for validation purposes, and maintain testing documentation. They will collaborate with cross-functional teams to ensure high product quality and timely completion of projects.

The Senior Data Scientist will leverage AI/ML techniques to tackle complex healthcare problems, develop data pipelines, lead a team, and enhance the quality of solutions. Responsibilities include full-stack development, managing ETL processes, and collaborating on data software development.

The Test Automation Architect will design and implement test automation strategies, develop frameworks, guide teams, conduct audits, mentor engineers, and collaborate with cross-functional teams to ensure quality in AI-driven solutions at HiLabs.

The Senior Engineering Manager will lead and manage engineering teams to deliver AI-powered solutions in the healthcare industry. The role involves coordinating projects, directing technical expertise, managing resources, and fostering team growth and innovation. The ideal candidate will have a strong technical background and proven leadership skills, with a focus on improving operational efficiency and team performance.

As a Data Scientist at HiLabs, you will leverage AI/ML techniques to solve complex healthcare issues, develop and optimize algorithms, conduct data analysis, and collaborate with teams to implement robust data solutions.

The Senior QA Engineer will lead QA efforts focused on ensuring data quality across multiple systems. Responsibilities include defining testing strategies, performing manual testing, developing automation scripts, mentoring junior team members, and collaborating with cross-functional teams to validate data integrity and performance.

The Digital Training Specialist at HiLabs will create and deliver engaging training materials for the company's intranet platform, focusing on video editing and graphic design. Responsibilities include developing interactive content, collaborating with stakeholders, assessing training efficacy, and ensuring materials meet learning standards.

The Senior Software Development Engineer will focus on full-stack application development, designing and developing both front-end and back-end solutions. Responsibilities include creating reusable APIs, managing the software development lifecycle, performing code reviews, and ensuring high-quality software through best practices, with a collaborative approach to development.

The Data Engineer will design, develop, and maintain scalable ETL/ELT pipelines, optimize databases, collaborate with cross-functional teams, and ensure data quality through validation processes. The role requires developing automated data workflows and providing solutions to meet operational data needs.

This role involves full-stack application development, creating modular components and APIs, managing the development process from conception to deployment, collaborating with the team, and ensuring high-quality software through code reviews and testing.

The Lead Data Scientist at HiLabs will leverage AI/ML to address complex healthcare challenges and develop resilient data pipelines. Responsibilities include leading a team, managing ETL processes, collaborating on software deployment, and ensuring the quality of code while adhering to best practices in a dynamic environment.

The Senior Data Scientist at HiLabs will leverage AI/ML techniques to solve complex healthcare problems and develop robust ETL data pipelines. The role involves leading a multidisciplinary team, enhancing solution quality, and ensuring efficient code development within a dynamic environment.

As a Scrum Master at HiLabs, you will lead a global scrum team, ensuring scrum methodology is followed, facilitating sprint meetings, and promoting continuous improvement. You will help manage team backlogs, enhance collaboration, and improve the broader scrum process while interacting with multiple product teams and stakeholders to achieve delivery goals.

The Lead/Senior Data Scientist at HiLabs will apply AI/ML techniques to solve complex healthcare problems, lead a team in developing robust ETL data pipelines, and manage deployment processes while adhering to best development practices. Responsibilities also include code reviews, testing, and collaborating with various teams to enhance project outcomes.

The Data Engineer will design, develop, and maintain ETL/ELT pipelines for large datasets, optimize databases, collaborate with teams for data integration, automate tasks, and document processes, focusing on enhancing data accuracy and efficiency in a fast-paced environment.

Design and maintain scalable ETL/ELT pipelines, optimize databases, collaborate with teams for smooth data flow, automate data tasks, and document processes.