Search the 19 jobs at HiLabs

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.

As a Senior QA Engineer, you will lead the QA efforts ensuring data quality across systems. Responsibilities include developing testing strategies, executing manual and automated tests, mentoring junior engineers, and collaborating with cross-functional teams. You will also manage defects, conduct performance testing, and communicate with clients about QA metrics and strategies.

As a Data Scientist, you will analyze complex healthcare problems using AI/ML techniques, develop scalable data products, and work with stakeholders to provide insights from data. Responsibilities include deploying machine learning algorithms, optimizing solutions, and leading teams of data scientists.

The Data Engineer will design, develop, and maintain ETL/ELT pipelines, manage databases, collaborate with data professionals, ensure data accuracy, automate data workflows, and document engineering processes to enhance data operations in healthcare.

The Engineering Manager will lead and manage teams to deliver innovative AI solutions for the US healthcare industry. Responsibilities include project coordination, technical direction, resource management, and fostering team growth and motivation. The role requires strong communication skills and the ability to deal with complex technical challenges.

As a Software Test Engineer, you will conduct manual testing of web applications, manage quality control tasks, perform data entry and configuration, maintain testing documentation, and collaborate with cross-functional teams to ensure product quality.

As a Scrum Master at HiLabs, you will lead and coach agile teams, facilitate scrum ceremonies, manage interdependencies, and support product planning. Your role focuses on improving team performance and ensuring alignment in delivery. Responsibilities include configuring JIRA, tracking progress, and fostering a culture of collaboration and transparency.

The Senior Software Development Engineer will focus on developing full-stack applications, creating modular and reusable components/APIs, and managing the software development process from inception to deployment. Responsibilities include collaborating with teams, ensuring high-quality software, conducting code reviews, and maintaining efficient code.

As a Senior SDET, the candidate will be responsible for manual and automated testing including data, API, and UI automation. The role involves developing test scripts, automating data pipelines, managing CI/CD practices, and collaborating with cross-functional teams for quality assurance.

The Lead/Senior Software Development Engineer in Test (SDET) will design and maintain automated testing frameworks to ensure the reliability of AI/ML models, data pipelines, and APIs. Responsibilities include leading test automation, collaborating with engineers, executing testing strategies, developing test frameworks, conducting data validation tests, and monitoring data pipelines.

The Senior Software Engineer will design unique solutions for healthcare clients by collaborating with product managers, data scientists, and technology experts. Responsibilities include analyzing requirements, creating solution designs, leading development efforts, ensuring cohesive implementation, and acting as a technical authority. The role also involves quality assurance and documentation management across project lifecycles.

As a Senior/Lead Software Engineer at HiLabs, you will develop and implement machine learning algorithms to tackle complex healthcare problems, collaborate with stakeholders, and lead a team of Data Scientists and developers. Responsibilities include optimizing machine learning solutions, conducting data analysis, and enhancing existing algorithms.

HiLabs seeks a motivated Lead/Senior Data Scientist to develop AI/ML solutions for healthcare. Responsibilities include building data pipelines, leading teams, and using technologies like Python and AWS to address complex problems in transforming healthcare outcomes.

The role involves full-stack application development focusing on backend architecture, creating reusable APIs, and ensuring high-quality software through best practices. Responsibilities include managing software development from start to deployment and collaborating with the team to deliver efficient code and maintain application integrity.

Leading SaaS company in US healthcare industry seeking Senior Product Manager to drive product development and ensure high ROI through AI solutions. Responsibilities include bridging business goals with customer problems, collecting quantitative product data, collaborating with cross-functional teams, and developing new product features.

Design, develop, and maintain ETL/ELT pipelines for large datasets, optimize databases for efficient data handling, and collaborate with teams to integrate data sources. Implement data validation processes, automate tasks, and document engineering processes for scalability.

The Data Engineer will design and maintain ETL/ELT pipelines, manage SQL and NoSQL databases, integrate data from different sources, and optimize data workflows. The role requires collaboration with cross-functional teams to meet their data needs and ensure data accuracy and scalability in a fast-paced environment.

As a Data Scientist at HiLabs, you will partner closely with a team of stakeholders to solve real problems in the healthcare domain using AI/ML techniques. Responsibilities include developing machine learning algorithms, conducting data analysis, and implementing enhancements to existing solutions.

The Automation Architect will design and implement automated testing strategies and frameworks, ensuring quality standards in AI-driven healthcare solutions. Responsibilities include mentoring engineers, conducting audits, collaborating with cross-functional teams, and maintaining test environments. Candidates should have extensive experience in automation technologies and a strong background in coding standards.