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Salary
$22k – $38k per year (gross)
Location
In office (Mumbai)
Seniority
Staff · 8+ years exp
Visa
Sponsors visas in United States; no register of this country names it

First seen by Alion on Nov 4, 2026.

Overview
Company
Impact
Profile match
ETeam delivers business transformation with accountability. We provide the leadership and expert talent to execute complex programs and drive measurable results.

Key Responsibilities :

A. Google Cloud Platform (GCP) Architecture & Development :

- Design, develop, and implement scalable cloud-native applications using Google Cloud Platform.

- Lead cloud architecture design, implementation, and deployment.

- Build and manage cloud infrastructure using GCP services.

- Work extensively with BigQuery, Vertex AI, GKE, Cloud Run, and Cloud Functions.

- Ensure high availability, scalability, reliability, and security of cloud applications.

- Optimize cloud infrastructure for performance and cost efficiency.

- Implement cloud-native solutions using microservices and serverless architecture.

- Drive cloud migration, modernization, and infrastructure optimization initiatives.

B. GCP Technologies - Core Technical Expertise :

1. Google BigQuery :

- Design and manage scalable data warehouse solutions.

- Develop and optimize complex SQL queries.

- Implement data processing and analytics pipelines.

- Optimize query performance and manage large datasets.

- Work with data integration and reporting solutions.

2. Vertex AI :

- Develop and deploy AI/ML models using Vertex AI.

- Integrate AI/ML capabilities into cloud-based applications.

- Work with model deployment, monitoring, and management.

- Understand MLOps concepts and AI-driven application development.

3. Google Kubernetes Engine (GKE) :

- Design and manage containerized applications.

- Deploy and manage microservices using Kubernetes.

- Handle cluster management, scaling, and orchestration.

- Implement application deployment and container management strategies.

- Monitor application health and optimize cluster performance.

4. Google Cloud Run :

- Develop and deploy containerized applications.

- Build scalable serverless application solutions.

- Manage application deployments and scaling.

- Optimize application performance and resource utilization.

5. Google Cloud Functions :

- Develop event-driven and serverless applications.

- Build backend services and API integrations.

- Implement event-based processing workflows.

- Integrate cloud functions with other GCP services.

C. Application Development - React & Python :

- Lead frontend development using React.js.

- Develop scalable, responsive, and high-performance user interfaces.

- Build backend services and APIs using Python.

- Develop RESTful APIs and microservices.

- Integrate frontend applications with backend services.

- Ensure application security, performance, and maintainability.

- Follow coding standards, design patterns, and software engineering best practices.

D. Snowflake & Data Engineering :

- Work with Snowflake cloud data warehouse solutions.

- Design and optimize data pipelines and data integration processes.

- Integrate Snowflake with GCP services.

- Develop and optimize SQL queries.

- Support data warehousing, analytics, and reporting requirements.

- Ensure data quality, performance, and reliability.

E. Technical Leadership & Team Management :

- Lead and mentor a team of developers and engineers.

- Provide technical direction and guidance to the engineering team.

- Review architecture, code quality, and technical deliverables.

- Drive engineering best practices and development standards.

- Conduct technical discussions, design reviews, and code reviews.

- Collaborate with product managers, architects, and cross-functional teams.

- Participate in requirement analysis and technical solution design.

- Take ownership of technical delivery and project execution.

- Identify technical risks and drive resolution.

- Encourage innovation and continuous improvement within the R&D team.

F. DevOps, Monitoring & Performance Optimization :

- Implement CI/CD pipelines and automated deployment processes.

- Work with Docker and Kubernetes-based deployments.

- Implement application monitoring, logging, and alerting.

- Monitor cloud infrastructure performance and availability.

- Troubleshoot production issues and perform root cause analysis.

- Ensure security, compliance, and cloud governance standards.

Skills

Google Cloud Platform, Cloud Infrastructure, Cloud Services, Native Cloud, Cloud Apps, Cloud Cost Optimization, Performance Tuning, Solution Implementation, Microservices Architecture, Google Kubernetes Engine, DevOps

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