Deployment Engineer
Job Type: Full-time
About the Role
We are seeking a Deployment Engineer to deploy and integrate AI-powered solutions within client environments. The ideal candidate will have strong experience in Python, cloud platforms, web automation, API integrations, and deployment of enterprise applications.
Responsibilities
- Deploy and manage applications within client cloud environments (AWS/Azure).
- Build and maintain web automation workflows using Python, Playwright, or Selenium.
- Develop automated data extraction and web scraping solutions.
- Integrate enterprise applications through REST and SOAP APIs.
- Build and maintain database connections and data processing pipelines.
- Extract and process data from PDFs, documents, and other structured/unstructured sources.
- Work with Docker and Kubernetes for deployment and infrastructure management.
- Monitor, troubleshoot, and optimize deployments and integrations.
- Collaborate with engineering, product, and client teams to ensure successful implementations.
Required Skills & Experience
- 3–5 years of experience in Cloud Engineering, DevOps, Data Engineering, or a similar role.
- Strong Python programming skills.
- Experience with Playwright, Selenium, or other web automation frameworks.
- Hands-on experience with REST APIs and SOAP services.
- Experience with AWS and/or Azure.
- Knowledge of Docker and Kubernetes.
- Experience working with databases and data integration workflows.
- Strong debugging, troubleshooting, and problem-solving skills.
Preferred Qualifications
- Experience with insurance, financial services, or enterprise software integrations.
- Knowledge of OCR, document processing, or AI-driven data extraction.
- Familiarity with MLOps, LLMs/SLMs, or AI infrastructure deployment.
Why Join Us?
- Opportunity to work on cutting-edge AI and automation projects.
- Exposure to cloud-native deployments and enterprise integrations.
- Collaborative and fast-growing technology environment.
Pay: ₹1,000,000.00 - ₹1,500,000.00 per year
Work Location: In person
