Lead and develop the design and development of scalable, AI-enabled applications using Python and React.js, architecting cloud-native solutions on Azure.
Responsibilities
Lead and develop the design and development of scalable, AI-enabled applications using Python.
Own the end-to-end lifecycle of solutions, ensuring seamless integration, scalability, and performance.
Architect and maintain robust backend services using Python (e.g., FastAPI), with a focus on performance and security.
Build intuitive front-end interfaces using React.js to deliver seamless user experiences.
Apply best practices to develop secure, cloud-native solutions aligned with real-world use cases (Azure Cloud).
Provide oversight and vision to business applications, managing the project management lifecycle and creating safeguards against risk through proactive guidance, comprehensive documentation, and continual assessment of MNHS business processes and internal controls.
Compensation
Starting pay: $86,840 - $108,528 annually
Responsibilities
Manage projects to advance business applications and ensure that systems are aligned to and directly support technology services’ strategy and objectives for MNHS
Oversee the Business Application Team, which manages the planning and implementation of front- and back-end technology that serves the public-facing digital portfolio at MNHS
Create short- and long-term business application and system goals
Lead the development and assist in the implementation of resources that ensure best practices in technical support and application
Provide overall direction for placing, training, supervising, and motivating assigned staff, interns, volunteers, and fellows
Requirements
Bachelor’s degree in computer science or equivalent
Technical Developer in Risk and Compliance Transformation team with 4-9 years of experience in full stack engineering, machine learning, AI-driven development and devops.
Responsibilities
Design and hands‑on development of product features
Challenge status quo for tech stacks and API choices
Coach and mentor team members technically
Demonstrate right‑ways of development in all facets of software development
Map functional specifications to product features
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience
Required skills (maximum of 6): Primary: Python, Fast API, Lambda, AWSNice to have: Java, Spring, React Nice to have skills (maximum of 3): Primary: Python, Fast API, Lambda, AWSNice to have: Java, Spring, React Years of experience
Senior Software Development Engineer responsible for building high‑quality, user‑centered products for the Claims organization within Aetna’s business, leading full‑stack development and Agile practices.
Compensation
The typical pay range for this role is:
€50,000.00 - €125,000.00
Responsibilities
Build and maintain high‑quality, usable products for the Claims organization
Educate business and technology personnel on Agile development processes
Design and develop frontend and backend code using industry best practices
Implement efficient, optimized, and reusable code
Maintain user‑centered and business‑priority design perspectives
Lead the design, build and operation of scalable data pipelines for the Libra team within Elsevier’s Search and AI Platform.
Responsibilities
Leading the design, prototyping and build of robust and scalable data pipelines
Setting the standard for clean code and best-practice software engineering principles
Working with technologies including Python (Fast API), Java (Spring Boot), Data Warehouse, Spark, Airflow, Snowflake, ETL/ELT, Iceberg, Kafka and RDBMS
Owning cloud infrastructure in AWS to host, monitor and scale the services
Partnering with Product Managers, architects and engineering teams to translate product requirements into scalable technical solutions
The Senior Data Engineer II on the Libra team leads the design, build, and operation of scalable pipelines that ingest content into a centralized storage system. The role involves building an Evaluation Platform for AI-generated medical content review.
Responsibilities
Leading the design, prototyping and build of robust and scalable data pipelines, setting the standard for clean code and best-practice software engineering principles across the team.
Working with technologies including Python (Fast API), Java (Spring Boot), Data Warehouse, Spark, Airflow, Snowflake, ETL/ELT, Iceberg, Kafka and RDBMS.
Owning cloud infrastructure in AWS to host, monitor and scale the services, automating common tasks mercilessly and driving cost and performance optimisation.
Partnering with Product Managers, architects and engineering teams to translate product requirements into scalable technical solutions, implementation plans and delivery roadmaps.
Mentoring and coaching engineers through design reviews, pair programming and code review, raising the technical bar of the team.
Requirements
Nice to have: large-scale content management systems
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