Develop and maintain scalable web applications using React frontend technologies and Python backend services. Design RESTful APIs, manage SQL databases, deploy applications on Google Cloud Platform, implement CI/CD pipelines, conduct testing activities, process and analyze data using Pandas, and collaborate with design teams for UI/UX implementation. Ensure high-quality software delivery and cloud-based scalability.
Design, develop, and deploy scalable enterprise web applications using Python backend technologies, React frontend frameworks, and AWS cloud services. Develop reusable UI components, REST APIs, business logic modules, authentication systems, and data processing solutions. Optimize application security, performance, scalability, and cloud deployments while collaborating with cross-functional teams.
Develop high-performance and scalable web applications using FastAPI and modern JavaScript frameworks. Design and implement RESTful APIs, integrate backend services with frontend applications, implement authentication and authorization mechanisms using JWT and OAuth2, optimize application performance, manage database interactions, and collaborate with Agile teams throughout the software development lifecycle.
Develop backend services, integrate APIs, manage databases and improve application performance through testing and optimization.
Program structure Track: Research Reports to: Lead research scientist, EOS Stochastic Models team Duration: 16-24 weeks, full-time preferred Primary languages: Python (NumPy, SciPy, JAX or PyTorch), some Cython for hot paths Outcome: A reproducible workload generator and a published technical note on tail-risk estimators for AI workloads Compensation: stipend per internal scale; conversion to full-time considered for strong performers. Mentorship: each intern is paired with a senior engineer or.
Program structure Track: Research engineering Reports to: Staff research engineer, EOS Intelligence Plane team Duration: 20-24 weeks, full-time preferred Primary languages: Python (PyTorch or JAX), familiarity with Stable Baselines / CleanRL / TorchRL Outcome: A trained, sim-validated routing policy that demonstrably improves utility- per-dollar over the production baseline Compensation: stipend per internal scale; conversion to full-time considered for strong performers. Mentorship: each inter.
Program structure Track: Engineering Reports to: Senior staff engineer, EOS Control Plane team Duration: 12-20 weeks, full-time preferred Primary languages: Go or Rust for the gateway, Python for tooling; familiarity with gRPC / proto- buf Outcome: Production-grade contribution to the metering or routing layer with measurable performance and accuracy improvements Compensation: stipend per internal scale; conversion to full-time considered for strong performers. Mentorship: each intern is paired.
Role - GCP Data Engineer Location - Pune/Hyderabad Skills- GCP, Big Query, Airflow, SQL Mandatory Google Cloud Big Query Scripting Skills or Cloud SQL Mandatory to have knowledge on any ETL Tool ONLY amongst (Talend, Datastage, Informatica ISS (Cloud version), Data Fusion, Data Flow, Data Proc) Mandatory SQL PL/SQL Scripting Experience Mandatory Linux/Unix Skills. Expert in Python, Data Flow, PubSub, Big Query , CICD Must have good Experience/knowledge on GCP components like GCS , BigQuery, Clo.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health o.
Role: Data Engineer Experience: 5 Yrs Type: Hybrid (3 Days a week) Location: Chennai, Bangalore, Hyderabad, Pune, Kolkatta End Client: Cognizant Contract Duration: 6 Months Shift:- 10 AM - 7 PM IST Must Have: * Strong experience in Python * Expertise in Data Engineering Frameworks * Hands-on experience with ETL processes * CI/CD * Experience working on GCP (Google Cloud Platform) Skills:- Python, ETL, Data engineering, Google Cloud Platform (GCP) and CI/CD