Specialist architect* (f/m/d)

Design frameworks for indexing, metadata enrichment, semantic understanding, and query optimization across structured and unstructured data.

Elasticsearch, OpenSearch, vector search, or LLM-enhanced systems).

Building and integrating information systems to meet the companys needs.

Work with distributed systems, databases, and cloud technologies to build and maintain data lakes, data warehouses, and other data architectures.

Collaborate closely with product owners, architects, business SMEs and engineers to develop and deliver high-quality solutions, enhancing and maintaining integrations across clinical systems

Design and architect the next-generation metrics engine on modern infrastructure to support operational analytics leveraging cloud technologies

Assessing the systems architecture currently in place and working with technical staff to recommend solutions to improve it.

Analyze functional and technical requirements of applications, translating them into software architecture and design specifications.

Develop and execute unit tests, integration tests, and other testing strategies to ensure software quality and reliability.

Integrate systems and platforms to ensure seamless data flow, functionality, and interoperability.

Work closely with Information Technology professionals within the company to ensure hardware is available for projects and working properly

Current understanding of best practices regarding system security measures

Take ownership of complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline

Participate in both front-end and back-end development using cloud technology.

Conduct code reviews to ensure code quality and alignment to best practices.

Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations.

Stay updated with the latest trends and advancements

Degree in computer science & engineering preferred with 9-12 years of software development experience

Strong hands-on experience with data processing frameworks such as Apache Spark, Hadoop, and Apache Kafka.

Experience working with cloud platforms such as AWS, Google Cloud, or Azure, and services like S3, Redshift, BigQuery, and similar technologies.

Hands on experience with various cloud services, understand pros and cons of various cloud services in well architected cloud design principles

Hands on experience with Full Stack software development. Proficient in programming language React Framework Redux, RESTful API Development, Swagger OpenAPI, TypeScript, Fast Python, Java Script, SQL/NoSQL, Databricks/RDS, ETL, Tableau, Apache, Kafka, data pipelines

Strong programming skills in Python, Java, Scala

Experience with cloud platforms (AWS, Azure, Google Cloud) and related services (e.g., S3, Redshift, BigQuery, Databricks)

Experience with data streaming frameworks (Apache Kafka, Flink).

Programming Languages: Proficiency in multiple languages (e.g., Python, Java, Scala, JavaScript, React) is crucial and must

Experienced with API integration, serverless, microservices architecture.

Experience in Data bricks, PySpark, Spark, SQL, ETL, Kafka

Experienced with AWSAzure Platform, Building and deploying the code

Experience in Postgres SQLMongo DB SQL database, vector database for large language models, Databricks or RDS

Experience in vector databases for large language models, Databricks or RDS

Experience with Web site development, understanding of web site localization processes, which involve adapting content to fit cultural and linguistic contexts.

Experience with DevOps CICD build and deployment pipeline

Experience in Agile software development methodologies

Contributing to the overall strategic direction of the software development process.

Experience in API and End to End testing as part of Test-Driven Development

Experience with popular large language models

Experience with Lang chain or llama Index framework for language models

Experience with prompt engineering, model fine tuning

Knowledge of NLP techniques for text analysis and sentiment analysis