Skill: AWS Services
Experience: 6 to 9 years
Location: AIA Kochi
Job Summary
Lead Developer role in a hybrid work model focusing on designing and delivering advanced data and computation solutions within bioinformatics using AWS Lambda Python and AWS Glue. The role requires six to ten years of experience and mandates strong domain expertise in bioinformatics to build secure scalable and efficient platforms that enable meaningful scientific and healthcare insights for global stakeholders.
Responsibilities
- Design robust serverless solutions using AWS Lambda to support complex bioinformatics data processing workflows that ensure reliable performance and scalability for scientific analysis tasks.
- Develop efficient Python based applications and scripts that transform cleanse and standardize diverse bioinformatics datasets to improve data quality and downstream analytic accuracy.
- Architect data integration pipelines using AWS Glue that enable secure ingestion curation and cataloging of genomic proteomic and clinical data from multiple internal and external sources.
- Coordinate with cross functional research and product teams to translate bioinformatics requirements into well structured technical designs that align with organizational goals and regulatory expectations.
- Implement comprehensive monitoring logging and alerting for Lambda functions Glue jobs and Python services to enhance system observability reduce incidents and improve response times.
- Optimize data models storage strategies and query patterns for large scale bioinformatics datasets to achieve cost efficient and performant analytics in the cloud environment.
- Review and refactor existing Python and AWS based codebases to improve maintainability security compliance and adherence to internal engineering standards and best practices.
- Guide junior developers in applying robust coding practices effective testing strategies and cloud usage patterns so that project teams deliver predictable and high quality outcomes.
- Collaborate with data scientists and bioinformaticians to embed analytical algorithms into production grade Lambda and Glue pipelines enabling repeatable computable and traceable research workflows.
- Establish and enforce configuration management and version control processes for code and infrastructure resources to support reliable deployments and hybrid work coordination.
- Perform detailed root cause analysis of defects performance issues and data inconsistencies and implement well tested corrective actions that protect the integrity of scientific results.
- Document architectural decisions pipeline designs and operational runbooks in a clear and accessible manner to support knowledge sharing and continuity across distributed teams.
- Engage with stakeholders to prioritize backlog items and propose technical improvements that enhance bioinformatics platform capabilities and ultimately support better patient and public health outcomes.
Qualifications
- Demonstrate deep practical experience with AWS Lambda Python and AWS Glue including design implementation optimization and maintenance of production workloads in a hybrid environment.
- Show strong domain expertise in bioinformatics including working with genomic proteomic or clinical data and applying computational methods that respect scientific and regulatory standards.
- Apply solid understanding of cloud security data privacy and compliance concepts relevant to healthcare and life sciences to ensure responsible handling of sensitive information.
- Utilize proven skills in unit testing integration testing and automated validation for data pipelines and services to maintain high reliability and reproducibility of analytical results.
- Bring effective communication and collaboration abilities to work closely with multidisciplinary teams in a hybrid model balancing independent focus work with coordinated group problem solving.
Certifications Required
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中,您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。







