About SKF
SKF started its operations in India in 1923. Today SKF provides industry leading automotive and industrial engineered solutions through its five technology-centric platforms: bearings and units seals mechatronics lubrication solutions and services. Over the years the company has evolved from being a pioneer ball bearing manufacturing company to a knowledge-driven engineering company helping customers achieve sustainable and competitive business excellence.
SKFs solutions provide sustainable ways for companies across the automotive and industrial sectors to achieve breakthroughs in friction reduction energy efficiency and equipment longevity and reliability. With a strong commitment to research-based innovation SKF India offers customized value-added solutions that integrate all its five technology platforms.
To know more please visit: Technology Development
The TD team for ISEA is focused on Customer Product development & Engineering Innovation for the region rollout of new technologies for the region testing Failure Investigation scaleup from POC to series production Portfolio Management etc.
TD Competencies
- Engineering & Research Centre
- Product Development & Engineering This division brings out conceptual/detailed designs to support BOH/ETO activities based on customer specifications. Technology trends like digitization of workflows e- Aviation Sensorization Product localization Design automation Agile DFX and Model based designs (MBDs) have increased the operational efficiency and application productivity. What our customer gain from this is efficient digital data exchange traceability and flexibility in design changes reduced carbon footprint and higher performance products.
- Testing: Group Testing Services is a trusted partner in design process and supplier validation. The testing team ensures greater focus on customer requirements quality and operational efficiency. This entails greater support for SKFs processes in a faster manner by applying global test standards adapted to local customer specific requirements.
- Global Metallurgy & Chemistry Laboratory (GMC)
- Future Factory (Manufacturing 4.0) Working on World class manufacturing Lean Green Digital.
- Manufacturing Process & Development - We support factories in the areas of process development (Heat treatment) machine building Advanced Manufacturing HT simulations Additive Manufacturing Vision Inspection etc. We are working on building innovative solutions on machines (measurement/ assembly/ clean manufacturing) and focusing on Scaling technologies like 3D printing and Camera based Inspection system with automation.
- Connected Technologies- develop new products for connectivity and sustain it. We work on sensor technology and data integration. This help customer for predictive maintenance of their assets.
SKF Purpose Statement
Together we re-imagine rotation for a better tomorrow.
By creating intelligent and clean solutions for people and the planet
JOB DESCRIPTION
Job Title: Sr. Cloud Architect
Reports To: Manager AI
Role Type: Individual Contributor
Location: Bangalore
Role Purpose:
As a Cloud Architect within our AI Center of Excellence you will spearhead the design and implementation of robust scalable and secure cloud solutionsprimarily on Azureto drive AI innovation across the organization. Youll work closely with cross-functional teams leveraging your strong developer background to help architect deploy and integrate a wide range of services. You will ensure that our platforms and applications uphold the highest standards for security performance and reliability.
This role is pivotal in shaping how our AI solutions operate at scale. Positioned within Technology Development the AI Center of Excellence works globally to elevate AI maturity and drive digital transformation across the enterprise
Key responsibilities:
- Cloud Architecture & Deployment
- Design implement and maintain Azure-based solutions ensuring best practices in security reliability and performance.
- Oversee integrations with services such as Databricks Azure AI Search OpenAI Services and SharePoint.
- Security & Networking
- Architect secure environments with a focus on identity management (e.g. Entra ID/SSO) network segmentation and advanced threat protection.
- Implement best practices for data protection monitoring and incident response across cloud infrastructures.
- Developer Enablement
- Leverage your background in software development to review and sometimes contribute code offering architectural guidance and hands-on support.
- Collaborate with development teams to establish and maintain DevOps pipelines ensuring efficient builds testing and deployments.
- Integration & Support
- Provide technical leadership for setting up and managing integrations with various Azure services Databricks and enterprise systems like SharePoint.
- Guide teams in implementing single sign-on (SSO) data flows and indexing strategies for services like Azure AI Search.
- Monitoring & Optimization
- Implement end-to-end monitoring logging and alerting solutions to ensure proactive performance tuning and immediate issue resolution.
- Continuously evaluate and optimize cloud resource usage balancing cost-effectiveness with scalability.
We Expect You to Have
- Bachelors degree in computer science engineering or a related fieldor equivalent work experience.
- Extensive hands-on Azure experience including multi-year background in designing and deploying complex cloud environments.
- Strong developer background in languages such as C# Python or similar enabling you to understand and occasionally contribute to codebases.
- Proven expertise in security networking and monitoring with a track record of architecting secure solutions at scale.
- Experience with Databricks and OpenAI Services particularly in data processing analytics and AI model deployment.
- Familiarity with Azure AI Search including indexing strategies relevance tuning and security controls.
- Solid understanding of SSO solutions including Entra ID and practical know-how in integrating various enterprise systems (SharePoint Databricks etc.).
- Knowledge of DevOps practices including CI/CD pipelines IaC (Infrastructure-as-Code) and best practices for automated testing and deployments.
- Excellent communication skills to collaborate effectively with cross-functional teams and translate complex architectural requirements into actionable solutions.
- A background in AWS is a plus.
Candidate Profile:
- Education:Bachelors degree in computer science engineering or a related field.
- Experience:Experience band: minimum 10 years.
Required Experience:
Senior IC