Job Description We are looking for a Software Engineer - Full Stack Developer to help build web applications that support healthcare and life sciences research. The ideal candidate has experience developing interactive, data-driven applications and is comfortable working across both frontend and backend technologies. We value strong problem-solving skills, clear communication, a collaborative mindset, and attention to detail. Responsibilities Full stack development with focus on frontend application Build and maintain APIs for communication. Conduct testing and debug code. Use version control systems like Git. Implement security measures for web applications. Document code and stay updated on industry trends. Collaborate in cross-functional teams using Agile methodologies. Qualifications Bachelors degree in CS or ECE. Minimum of 2 years of professional experience. Knowledge of JavaScript frameworks such as React, Angular and Vue Hands-on experience in developing UI Components using TypeScript, SASS Experience with JavaScript building tools like WebPack Experience building backend services using Python frameworks ( e.g. FastAPI) Ability to develop reusable code and high-quality UI components with scalability in mind. Strong background in CS fundamentals including algorithms and data structures. Demonstrated experience in creating fluid and interactive data-driven applications. Demonstrable ability to engineer simple, elegant solutions to difficult problems. Nice to have A strong interest in AI/ML and healthcare technology Experience leveraging LLM-enabled development tools such as Cursor, Windsurf Familiarity with OMOP (Observational Medical Outcomes Partnership) data models and EHR (Electronic Health Record) data models is a plus.

Job description Were looking for a Software Engineer with a solid foundation in Python and an interest in working on data-driven and AI-first systems. Youll contribute to building and maintaining backend systems that support our AI workflows and real-world data processing. Responsibilities Contribute to the development of Python-based applications that support AI/ML pipelines Assist in data ingestion, transformation, and integration from real-world healthcare data sources Support AI model deployment and monitoring as part of production workflows Collaborate with data scientists and senior engineers to enable novel AI-based agents and other features Write clean, efficient, and testable code Learn and apply cloud tools (like AWS) to support scalable solutions Qualifications Bachelor's degree in Computer Science, Engineering, or a related field 2–3 years of experience in software engineering Strong Python skills and familiarity with software development best practices Exposure to machine learning concepts (e.g., LLMs, model training, APIs, or inference) Basic experience with cloud platforms (e.g., AWS, GCP) Understanding of databases, REST APIs, and Git A strong interest in AI/ML and healthcare technology Nice to have Familiarity with frameworks like scikit-learn, TensorFlow, or PyTorch Experience with tools like Docker, Jupyter notebooks Knowledge of data processing libraries such as Pandas or NumPy Experience leveraging LLM-enabled development tools such as Cursor, Windsurf Familiarity with OMOP (Observational Medical Outcomes Partnership) data models and EHR (Electronic Health Record) data models is a plus.

Job Description As a Clinical annotator at Verantos, you will be instrumental in annotating medical documents including details on medical conditions, medications, laboratory tests or questionnaires for real-world evidence projects. You will focus on reviewing the medical notes for its accuracy and completeness. Responsibilities Annotate medical documents using annotation tools. Review medical documents for their completeness. Identify and report any protected health information in the annotated medical documents to maintain patient privacy. Manage specialized annotation requests and tasks with changing guidelines and tight deadlines. Assess your metrics to boost and improve productivity. Report and document any issues with annotation tools and annotated documents to the development team when necessary. Provide feedback for improvements to the existing annotation tool to increase annotation throughput and quality. Contribute to the enhancement of workflow processes. Qualifications Bachelor's or above in pharmacy, nursing, medicine, or social work and at least a year of clinical experience in the field. At least 3 years of work experience as a medical annotator. Ability to work on multiple projects in a fast-paced environment Demonstrate flexibility, initiative, professionalism, and the ability to work under pressure with minimal supervision.

Verantos is seeking a Software Engineer, DevOps to join our Pune office. The ideal candidate will have strong expertise in cloud platforms such as AWS, Azure, or GCP and will work to understand the technology and business needs and then design scalable, highly available, and resilient cloud solutions. Responsibilities Designing and building infrastructure to support our AWS services and infrastructure. Creating and utilizing tools to monitor our applications and services in the cloud, including system health indicators, trend identification, and anomaly detection. Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud. Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance. Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime. Qualifications bachelors degree in CS or ECE. 3+ years of experience in a DevOps Engineer role. Strong experience in public cloud platforms (AWS, Azure, GCP), provisioning and managing core services (S3, EC2, RDS, EKS, ECR, EFS, SSM, IAM, etc), with a focus on cost governance and budget optimization Proven skills in containerization and orchestration using Docker, Kubernetes (EKS/AKS/GKE), and Helm Familiarity with monitoring and observability tools such as SigNoz, OpenTelemetry, Prometheus, and Grafana Adept at designing and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Bitbucket pipelines, Nexus/Artifactory, and SonarQube to accelerate and secure releases Proficient in infrastructure-as-code and GitOps provisioning with technologies like Terraform, OpenTofu, Crossplane, AWS CloudFormation, Pulumi, Ansible, and ArgoCD Experience with cloud storage solutions and databases: S3, Glacier, PostgreSQL, MySQL, DynamoDB, Snowflake, Redshift Strong communication skills, translating complex technical and analytical content into clear, actionable insights for stakeholders Preferred Qualifications Experience with advanced IaC and GitOps frameworks: OpenTofu, Crossplane, Pulumi, Ansible, and ArgoCD Exposure to serverless and event-driven workflows (AWS Lambda, Step Functions) Experience operationalizing AI/ML workloads and intelligent agents (AWS SageMaker, Amazon Bedrock, canary/blue-green deployments, drift detection) Background in cost governance and budget management for cloud infrastructure Familiarity with Linux system administration at scale

Responsibilities Designing and building infrastructure to support our AWS services and infrastructure. Creating and utilizing tools to monitor our applications and services in the cloud, including system health indicators, trend identification, and anomaly detection. Working with development teams to help engineer scalable, reliable, and resilient software running in the cloud. Analyzing and monitoring performance bottlenecks and key metrics to optimize software and system performance. Providing analytics and forecasts for cloud capacity, troubleshooting analysis, and uptime. Qualifications Bachelors degree in CS or ECE. 3+ years of experience in a DevOps Engineer role. Strong experience in public cloud platforms (AWS, Azure, GCP), provisioning and managing core services (S3, EC2, RDS, EKS, ECR, EFS, SSM, IAM, etc.), with a focus on cost governance and budget optimization Proven skills in containerization and orchestration using Docker, Kubernetes (EKS/AKS/GKE), and Helm Familiarity with monitoring and observability tools such as SigNoz, OpenTelemetry, Prometheus, and Grafana Adept at designing and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Bitbucket pipelines, Nexus/Artifactory, and SonarQube to accelerate and secure releases Proficient in infrastructure-as-code and GitOps provisioning with technologies like Terraform, OpenTofu, Crossplane, AWS CloudFormation, Pulumi, Ansible, and ArgoCD Experience with cloud storage solutions and databases: S3, Glacier, PostgreSQL, MySQL, DynamoDB, Snowflake, Redshift Strong communication skills, translating complex technical and analytical content into clear, actionable insights for stakeholders Preferred Qualifications Experience with advanced IaC and GitOps frameworks: OpenTofu, Crossplane, Pulumi, Ansible, and ArgoCD Exposure to serverless and event-driven workflows (AWS Lambda, Step Functions) Experience operationalizing AI/ML workloads and intelligent agents (AWS SageMaker, Amazon Bedrock, canary/blue-green deployments, drift detection) Background in cost governance and budget management for cloud infrastructure Familiarity with Linux system administration at scale

Verantos is seeking a QA Manager with expertise in test automation and quality assurance. This role involves developing and implementing quality strategies, leading a team, and ensuring best testing practices while driving process improvements. You will oversee test planning, automation, and defect management to maintain high software standards. An ideal candidate brings a strong engineering background, leadership experience, and a passion for software quality. If you thrive in a fast-paced environment and excel in hands-on QA management, wed love to meet you. Responsibilities Develop and implement a comprehensive QA strategy aligned with business and product goals. Continuously improve testing efficiency through automation and process optimization. Ensure best practices in test automation, CI/CD integration, and defect tracking. Lead and mentor a team of QA engineers, providing technical guidance and coaching. Collaborate with product and engineering teams to ensure robust and testable software. Own release readiness, ensuring that new features meet high-quality standards. Track and report quality metrics, defect trends, and test execution progress. Provide clear and timely updates to stakeholders on QA efforts and software readiness. Lead test automation efforts, execute test cases across various testing types, and collaborate with developers to ensure high-quality software. Stay updated with industry trends, emerging technologies, and best practices in QA and testing, leveraging this knowledge to drive innovation and continuous software quality improvements. Lead root cause analysis for quality issues and implement effective corrective actions. Foster collaboration between quality, engineering, product management, and other teams to establish seamless quality processes. Hands-on experience in designing and implementing automation frameworks with a focus on innovation and efficiency. Qualifications Bachelors degree in Engineering, Computer Science, or a related field. 8+ years of experience in software quality assurance, with at least 4+ years in a managerial or technical lead role. Strong expertise in test automation frameworks (Cypress, Selenium, Cucumber, etc.). Proficiency in Python and SQL; experience with other languages is a plus. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Expertise in CI/CD pipelines and version control systems (e.g., Git). Deep understanding of software QA methodologies, tools, and processes. Excellent leadership, communication, and problem-solving skills.