108 Cloud Platforms jobs in Bangalore

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* As an Infrastructure Specialist at IBM, you will support the infrastructure running industries likes transportation, energy, insurance, banking or healthcare which are rapidly changing as the worlds relationship with technology evolves. Ready to help our clients take the next step forward?
* Companies have more choices than ever before between on-premises, off-premise, or a hybrid approach. As an Associate Infrastructure Specialist, you'll be responsible for keeping up with the latest changes, using your expertise to deliver solutions that meet the needs of our clients and products. In your role you may be responsible for:
* Define, analyse, and review technical architecture on required platform and coming up with architecture options and recommendations.
* Define, detail, and scope the technical requirements into solutions.
* Work across key activities in configuration, systems management tools and backup and recovery
* Support Technical Consultants and lead in building solutions and providing technical mentoring and guidance
**Required technical and professional expertise**
* 8 -10 years of experience in the telecommunications field in managing and deployment of mid to large enterprise networks.
* Experiencing with networking and associated protocols including TCP/UDP, DMVPN, OSPF, BGP, DNS, SNMP, and other internet associated protocols (e.g., IPSEC, HSRP, BGP, OSPF, 802.11, QoS)
* Knowledge in multiple architectural domains and network design to include routing, switching, Datacentres and security.
* Good understanding of network infrastructure and network hardware along with good understanding on NSX/SDN administration.
* Knowledge in CISCO Switches (Cisco Catalyst), Firewall (Checkpoint, SonicWall, FortiGate), Transceiver, PROXY, Router, DNS, VPN, WAF and IPS etc
**Preferred technical and professional experience**
* Knowledge of LAN, WAN and Data Centre network architectures, enterprise design and industry standards relevant to data communications / networking and computing.
* Knowledge of setting up SDN and VSX and supporting the same.
* Professional certification in CISSP, CCIE, CCNA, or CCNP are advantageous and possess SonicWALL Related Certification will be an added advantage
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Our client, a leading technology innovator, is seeking a highly skilled Senior AI/ML Engineer to join their advanced research and development team. This hybrid role, based in **Bengaluru, Karnataka, IN**, offers the opportunity to work on cutting-edge artificial intelligence and machine learning projects, leveraging state-of-the-art cloud platforms. You will be instrumental in designing, developing, and deploying sophisticated AI/ML models and solutions that drive significant business value. This position requires a strong theoretical foundation in machine learning, practical experience with cloud ML services, and excellent programming skills.

Responsibilities:

• Design, develop, and implement advanced machine learning models and algorithms for various applications, including predictive analytics, natural language processing, and computer vision.
• Utilize cloud ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML) to build, train, and deploy ML models at scale.
• Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into technical solutions.
• Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality and robust ML systems.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Stay current with the latest advancements in AI/ML research and technologies, experimenting with new techniques and tools.
• Develop and maintain robust MLOps pipelines for automated model deployment, monitoring, and retraining.
• Contribute to the development of best practices and standards for AI/ML development within the organization.
• Mentor junior engineers and contribute to knowledge sharing within the team.
• Communicate complex technical concepts clearly to both technical and non-technical audiences.

The ideal candidate will possess a Master's or Ph.D. in Computer Science, AI, ML, or a related field, with a proven track record of building and deploying successful ML solutions in a cloud environment. Strong programming skills in Python and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn are essential. This role requires a creative problem-solver with a passion for AI/ML innovation, playing a key role in advancing the company's technological capabilities from **Bengaluru, Karnataka, IN**, and shaping the future of AI.

Our client is seeking a highly experienced and visionary Senior Software Architect with expertise in cloud platforms to join their distributed engineering team. This is a 100% remote position, offering the flexibility to work from anywhere. You will play a critical role in designing, developing, and implementing scalable, reliable, and secure cloud-based software solutions. This involves defining architectural patterns, selecting appropriate technologies, and guiding development teams to ensure the successful delivery of complex software systems. The ideal candidate will have a deep understanding of cloud computing principles, microservices architecture, and modern software development practices.

Key responsibilities will include:

• Designing and overseeing the implementation of robust, scalable, and secure cloud-native architectures.
• Defining technical strategy and roadmaps for cloud platform development.
• Selecting appropriate cloud services and technologies (e.g., AWS, Azure, GCP) for various applications.
• Establishing architectural best practices, coding standards, and design patterns.
• Mentoring and guiding software engineering teams on architectural decisions and implementation.
• Conducting code reviews and ensuring adherence to architectural guidelines.
• Collaborating with product managers and stakeholders to translate business requirements into technical solutions.
• Identifying and mitigating technical risks and challenges.
• Evaluating emerging technologies and recommending their adoption where appropriate.
• Ensuring the performance, scalability, and reliability of deployed solutions.
• Developing and maintaining comprehensive architectural documentation.
• Troubleshooting complex technical issues and providing expert guidance.

A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is required. A minimum of 8-10 years of experience in software development, with at least 4-5 years in a software architecture role, is essential. Extensive experience with major cloud providers (AWS, Azure, GCP), microservices architecture, containerization (Docker, Kubernetes), and CI/CD pipelines is mandatory. Strong proficiency in one or more programming languages (e.g., Java, Python, Go) and excellent communication and leadership skills are crucial. This is a phenomenal opportunity to influence the technical direction of a forward-thinking company.

Our client is seeking a highly skilled Senior Technical Support Engineer specializing in Cloud Platforms to join their rapidly growing, fully remote team. In this critical role, you will be the primary point of contact for complex technical escalations, providing expert-level troubleshooting and resolution for our enterprise clients. You will leverage your deep understanding of cloud infrastructure, networking, and operating systems to diagnose and fix issues, ensuring minimal disruption to client operations. This position requires a proactive, problem-solving mindset and the ability to communicate technical information clearly to both technical and non-technical audiences.
Responsibilities:

• Provide advanced technical support for cloud-based solutions, including AWS, Azure, and GCP.
• Diagnose, troubleshoot, and resolve complex hardware, software, and network issues reported by clients.
• Act as an escalation point for junior support engineers, offering guidance and mentorship.
• Analyze system performance, identify bottlenecks, and recommend solutions for optimization.
• Develop and maintain comprehensive technical documentation, knowledge base articles, and troubleshooting guides.
• Collaborate with engineering and product teams to identify product defects and drive improvements.
• Manage client relationships by providing timely updates, clear communication, and proactive support.
• Participate in on-call rotation to provide 24/7 support for critical incidents.
• Contribute to the continuous improvement of support processes and tools.
• Stay current with emerging cloud technologies and industry best practices.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience.
• 5+ years of experience in technical support, system administration, or cloud engineering.
• In-depth knowledge of major cloud platforms (AWS, Azure, GCP) and their core services.
• Strong understanding of networking protocols (TCP/IP, DNS, HTTP) and Linux/Windows operating systems.
• Experience with scripting languages (e.g., Python, Bash) for automation is a plus.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Superb communication and interpersonal skills, with the ability to explain complex technical concepts effectively.
• Proven ability to manage multiple priorities and work independently in a remote environment.
• Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Administrator Associate) are highly desirable.

This fully remote position offers a competitive salary, excellent benefits, and the chance to work with cutting-edge technology and a talented, geographically diverse team. Be a part of ensuring the stability and success of our clients' cloud infrastructures, based out of Bengaluru, Karnataka, IN .

Principal Software Engineer |GO, Python, Microservices, Large Scale Cloud Platforms, Data & Systems | Bangalore, 12+ years
Apply ( Location:Bangalore, India
+ Area of InterestEngineer - Software
+ Job TypeProfessional
+ Technology InterestAI or Artificial Intelligence
+ Job Id
**Meet the team**
The Cisco's AI team consists of AI researchers, and software developers who collaborate to build innovative products and platforms for Cisco. We are motivated by tackling unique challenges that arise when connecting people and devices at a world-wide scale.
You will join a newly formed, dynamic AI team as one of the core members, and have the opportunity to influence the culture and direction of the growing team. Our team includes AI experts and distributed system experts who work together with our partners in products management, and engineers across a wide variety of other Cisco teams.
**Your Impact**
We are seeking a Principal Engineer to join our Platform team, where you will play a vital role in integrating non-AI service, AI services for our Cisco Cloud Control products. Your skills in understanding service operations and architecting/building effective interfaces between service boundaries with the right instrumentation will be essential for the success of our product. Your role will involve understanding the operations of disparate product services, AI services, non-AI services, designing and building interfaces that seamlessly connect these services, and ensuring the appropriate instrumentation is in place. Your work will be instrumental in delivering a powerful and effective solution to our customers.
+ Provide technical leadership to all members of the team to guide designs and implementations towards optimal results with regard to reusability, security, reliability, and performance.
+ Collaborate with various stakeholders to design complex systems comprised of multiple ML and non-ML services which meet the highest levels of security, performance, reliability, and scalability while satisfying requirements from within our own team plus those of external integrating teams.
+ Collaborate with disparate teams to understand the operations of core services, AI services and integrate them into our Cisco wide platform.
+ Design and build effective interfaces between AI services, ensuring smooth communication and data exchange while adhering to security and performance requirements.
+ Implement the right types of instrumentation to monitor and measure the performance, reliability, and security of integrated AI services.
+ Debug integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions.
+ Work on performance tuning and optimization of the integrated AI services to ensure efficient and responsive operation.
+ Develop clear and comprehensive documentation for integration processes, interfaces, and instrumentation, facilitating teamwork and knowledge transfer within the team.
+ Collaborate closely with AI engineers, data scientists, and security experts to ensure smooth integration of AI services into the products.
+ Ensure that integrated AI services meet security and compliance standards, working closely with the security team to implement necessary measures.
**Minimum Qualifications**
+ 12+ years' experience as a Backend Engineer with expertise in integrating complex services.
+ 8+ years' experience writing code in Python, Java, or Go.
+ 5+ years' experience building a large-scale cloud product platform.
+ Must have experience managing large datasets and high transaction throughput systems.
+ BA / BS degree with 10+ years of experience (or) MS degree with 8+ years of experience as a software development engineer
**Preferred Qualifications**
+ Experience in AI service operations, including Generative AI, and the ability to design and build interfaces between them.
+ Understanding of GenAI frameworks and orchestrators like LangChain, Llamalndex, Semantic Kernel or AutoGen.
+ Strong experience building a 200+ microservices platform, distributed computing, complex data structures and algorithms.
+ Production experience handling 10+ PB datasets; experience with complex "join" and graph-like queries
+ Experience with instrumentation and monitoring tools for measuring service performance.
+ Experience with presenting to executive audiences and driving architecture/design across large group of senior engineers.
+ Knowledge of compliance standards.
**Why Cisco?**
**#WeAreCisco**
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us.
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Meet the team

The Cisco’s AI team consists of AI researchers, and software developers who collaborate to build innovative products and platforms for Cisco. We are motivated by tackling unique challenges that arise when connecting people and devices at a world-wide scale.

You will join a newly formed, dynamic AI team as one of the core members, and have the opportunity to influence the culture and direction of the growing team. Our team includes AI experts and distributed system experts who work together with our partners in products management, and engineers across a wide variety of other Cisco teams.

Your Impact

We are seeking a Principal Engineer to join our Platform team, where you will play a vital role in integrating non-AI service, AI services for our Cisco Cloud Control products. Your skills in understanding service operations and architecting/building effective interfaces between service boundaries with the right instrumentation will be essential for the success of our product. Your role will involve understanding the operations of disparate product services, AI services, non-AI services, designing and building interfaces that seamlessly connect these services, and ensuring the appropriate instrumentation is in place. Your work will be instrumental in delivering a powerful and effective solution to our customers.

Provide technical leadership to all members of the team to guide designs and implementations towards optimal results with regard to reusability, security, reliability, and performance.

Collaborate with various stakeholders to design complex systems comprised of multiple ML and non-ML services which meet the highest levels of security, performance, reliability, and scalability while satisfying requirements from within our own team plus those of external integrating teams.

Collaborate with disparate teams to understand the operations of core services, AI services and integrate them into our Cisco wide platform.

Design and build effective interfaces between AI services, ensuring smooth communication and data exchange while adhering to security and performance requirements.

Implement the right types of instrumentation to monitor and measure the performance, reliability, and security of integrated AI services.

Debug integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions.

Work on performance tuning and optimization of the integrated AI services to ensure efficient and responsive operation.

Develop clear and comprehensive documentation for integration processes, interfaces, and instrumentation, facilitating teamwork and knowledge transfer within the team.

Collaborate closely with AI engineers, data scientists, and security experts to ensure smooth integration of AI services into the products.

Ensure that integrated AI services meet security and compliance standards, working closely with the security team to implement necessary measures.

Minimum Qualifications

12+ years’ experience as a Backend Engineer with expertise in integrating complex services.

8+ years’ experience writing code in Python, Java, or Go.

5+ years’ experience building a large-scale cloud product platform.

Must have experience managing large datasets and high transaction throughput systems.

BA / BS degree with 10+ years of experience (or) MS degree with 8+ years of experience as a software development engineer

Preferred Qualifications

Experience in AI service operations, including Generative AI, and the ability to design and build interfaces between them.

Understanding of GenAI frameworks and orchestrators like LangChain, Llamalndex, Semantic Kernel or AutoGen.

Strong experience building a 200+ microservices platform, distributed computing, complex data structures and algorithms.

Production experience handling 10+ PB datasets; experience with complex “join” and graph-like queries

Experience with instrumentation and monitoring tools for measuring service performance.

Experience with presenting to executive audiences and driving architecture/design across large group of senior engineers.

Knowledge of compliance standards.