Role Overview
Niveus Solutions is hiring a mid-level Cloud Engineer - Gen AI. This is a full-time role in Maharashtra. Part of Niveus Solutions's Security hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Job Description
:
Job Title: Cloud Engineer: Gen AI
Job Description
As a Cloud Engineer specializing in Generative AI, you will be responsible for designing, implementing, and managing cloud-based solutions that leverage AI technologies. You will work closely with data scientists, ML engineers, and software developers to create scalable and efficient AI models, ensuring that they are properly integrated into cloud environments. Your role will involve optimizing cloud infrastructure for AI workloads, managing deployment pipelines, and ensuring system reliability and performance. You will also be tasked with developing best practices for security, compliance, and cost management within the cloud infrastructure.
Key Responsibilities:
- Design and implement cloud architectures for AI applications.
- Collaborate with teams to develop and optimize machine learning models.
- Automate deployment pipelines and CI/CD processes for AI solutions.
- Monitor cloud infrastructures, analyzing performance and scalability.
- Ensure compliance and security best practices are followed in AI deployments.
- Evaluate and integrate new tools and technologies for AI and cloud solutions.
- Provide support and troubleshooting for cloud-based AI systems.
- Document processes, architectures, and best practices related to cloud AI deployment.
Skills Required:
- Strong understanding of cloud platforms (e.g., AWS, Azure, Google Cloud).
- Proficiency in Generative AI
- Proficiency in programming languages such as Python, Java, or Go.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Knowledge of serverless architectures and microservices.
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
- Understanding of cloud security principles and best practices.
- Excellent problem-solving skills and a collaborative mindset.
Tools Required:
- Cloud service providers (AWS, Azure, Google Cloud).
- Machine learning libraries and frameworks (TensorFlow, PyTorch).
- Infrastructure-as-code tools (Terraform, CloudFormation).
- Containerization tools (Docker) and orchestration platforms (Kubernetes).
- Monitoring and logging tools (Prometheus, Grafana, CloudWatch).
- CI/CD tools (Jenkins, GitLab, CircleCI).
- Data processing tools (Apache Spark, Hadoop).
Department
Data Modernization
Open Positions
2
Skills Required
Generative AI & Machine Learning, Python Programming, TensorFlow/PyTorch, Docker & Kubernetes, CI/CD Automation, Infrastructure as Code (Terraform/CloudFormation), Serverless & Microservices Architecture, Cloud Security & Compliance, Monitoring & Performance Optimization
Location
Mumbai / Bangalore
Years Of Exp
3 to 5 years
Posted On
:
11-Mar-2026
Frequently Asked Questions
How do I apply for the Cloud Engineer - Gen AI position at Niveus Solutions?
Use the Apply button above to submit your application directly to Niveus Solutions. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Cloud Engineer - Gen AI position at Niveus Solutions located?
This position is based in Maharashtra. Niveus Solutions has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Cloud Engineer - Gen AI at Niveus Solutions earn?
Niveus Solutions has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Cloud Engineer - Gen AI role at Niveus Solutions posted?
This role was posted on April 12, 2026 (57 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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