5323 Ui Developers jobs in Bengaluru

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.

Key Responsibilities:
Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
Build automated AI testing and evaluation frameworks.
Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
Document and communicate your approach, progress, and results to the broader team and to other development teams.

Required experience/skills:
3-8 years of relevant experience.
Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
Proven proficiency in Python and TypeScript.
Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
Ability to contribute to a high-performing agile team, and to product innovation.
Keen to improve processes and share knowledge across the team.

Nice to have:
Hands-on AWS CDK experience
Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
Experience with full AI-based solution lifecycle.

What Diligent Offers You
Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.

Key Responsibilities:

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
• Build automated AI testing and evaluation frameworks.
• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
• Document and communicate your approach, progress, and results to the broader team and to other development teams.

Required experience/skills:

• 3-8 years of relevant experience.
• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
• Proven proficiency in Python and TypeScript.
• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
• Ability to contribute to a high-performing agile team, and to product innovation.
• Keen to improve processes and share knowledge across the team.

Nice to have:

• Hands-on AWS CDK experience
• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
• Experience with full AI-based solution lifecycle.

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.

Key Responsibilities:

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
• Build automated AI testing and evaluation frameworks.
• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
• Document and communicate your approach, progress, and results to the broader team and to other development teams.

Required experience/skills:

• 3-8 years of relevant experience.
• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
• Proven proficiency in Python and TypeScript.
• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
• Ability to contribute to a high-performing agile team, and to product innovation.
• Keen to improve processes and share knowledge across the team.

Nice to have:

• Hands-on AWS CDK experience
• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
• Experience with full AI-based solution lifecycle.

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite.

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose.

Key Responsibilities:

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform.
• Build automated AI testing and evaluation frameworks.
• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities.
• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization.
• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services.
• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.
• Document and communicate your approach, progress, and results to the broader team and to other development teams.

Required experience/skills:

• 3-8 years of relevant experience.
• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles.
• Proven proficiency in Python and TypeScript.
• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers).
• Ability to contribute to a high-performing agile team, and to product innovation.
• Keen to improve processes and share knowledge across the team.

Nice to have:

• Hands-on AWS CDK experience
• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers.
• Experience with full AI-based solution lifecycle.

What Diligent Offers You

• Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
• We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
• We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
• Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.

**Introduction**
IBM Infrastructure division builds Servers, Storage, Systems and Cloud Software which are the building blocks for next-generation IT infrastructure of enterprise customers and data centers. IBM Servers provide best-in-class reliability, scalability, performance, and end-to-end security to handle mission-critical workloads and provide seamless extension to hybrid multicloud environments.
India Systems Development Lab (ISDL) is part of word-wide IBM Infrastructure division. Established in 1996, the ISDL Lab is headquartered in Bengaluru, with presence in Pune and Hyderabad as well. ISDL teams work across the IBM Systems stack including Processor development (Power and IBM Z), ASCIs, Firmware, Operating Systems, Systems Software, Storage Software, Cloud Software, Performance & Security Engineering, System Test etc. The lab also focuses on innovations, thanks to the creative energies of the teams. The lab has contributed over 400+ patents in cutting edge technologies and inventions so far. ISDL teams also ushered in new development models such as Agile, Design Thinking and DevOps.
**Your role and responsibilities**
As a Software Engineer at IBM India Systems Development Lab (IBM ISDL), you will get an opportunity to work on all the phases of product development (Design/Development, Test and Support) across core Systems technologies including Operating Systems, Firmware, Systems Software, Storage Software & Cloud Software.
As a Software developer at ISDL:
* You will be focused on development of IBM Systems products interfacing with development & product management teams and end users, cutting across geos.
* You would analyze product requirements, determine the best course of design, implement/code the solution and test across the entire product development life cycle. One could also work on Validation and Support of IBM Systems products.
* You get to work with a vibrant, culture driven and technically accomplished teams working to create world-class products and deployment environments, delivering an industry leading user experience for our customers.
* You will be valued for your contributions in a growing organization with broader opportunities.
At ISDL, work is more than a job - it's a calling: To build. To design. To code. To invent. To collaborate. To think along with clients. To make new products/markets. Not just to do something better, but to attempt things you've never thought was possible. Are you ready to lead in this new era of technology and solve some of the most challenging problems in Systems Software technologies? If so, let's talk.
**Required technical and professional expertise**
Systems and Cloud Software Engineer:
As a Software Engineer with IBM Systems and Cloud Software teams, you will get the opportunity to get involved in all the phases of software development and work with technically accomplished teams. The responsibilities comprise of design new enhancements, coding (including test automation), problem determination and bug fixing, performance analysis, and solving client problems. You could also work on IBM Compute and Storage Systems including Virtualisation, I/O and Reliability Availability & Serviceability thereby, enabling the creation of a seamless software user experience across the stack delivering to IBM's Hybrid Cloud and AI clients. As an engineer you will be responsible for enhancing and maintaining the key components of the Software stack, Platform enablement and an opportunity to work on closed and Open source development communities.
Required Technical Expertise:
* Knowledge of Operating Systems, OpenStack, Kubernetes, Container technologies, Cloud concepts, Security, Virtualization Management, REST API, DevOps (Continuous Integration) and Microservice Architecture.
* Strong programming skills in C, C++, Go Lang, Python, Ansible, Shell Scripting.
* Comfortable in working with Github and leveraging Open source tools.
AI Software Engineer:
As a Software Engineer with IBM AI on Z Solutions teams, you will get the opportunity to get involved in delivering best-in class Enterprise AI Solutions on IBM Z and support IBM Customers while adopting AI technologies / Solutions into their businesses by building ethical, secure, trustworthy and sustainable AI solutions on IBM Z.
You will be part of end to end solutions working along with technically accomplished teams. You will be working as a Full stack developer starting from understanding client challenges to providing solutions using AI.
Required Technical Expertise:
* Knowledge of AI/ML/DL, Jupyter Notebooks, Linux Systems, Kubernetes, Container technologies, REST API, UI skills,
* Strong programming skills like - C, C++, R, Python, Go Lang and well versed with Linux platform.
* Strong understanding of Data Science, modern tools and techniques to derive meaningful insights
* Understanding of Machine learning (ML) frameworks like scikit- learn, XGBoost etc.
* Understanding of Deep Learning (DL) Frameworks like Tensorflow, PyTorch
* Understanding of Deep Learning Compilers (DLC)
* Natural Language Processing (NLP) skills
* Understanding of different CPU architectures (little endian, big endian).
* Familiar with open source databases PostGreSQL, MongoDB, CouchDB, CockroachDB, Redis, data sources, connectors, data preparations, data flows, Integrate, cleanse and shape data.
**Preferred technical and professional experience**
Preferred Technical Expertise:
* Practical working experience with Java, Python, GoLang, ReactJS,
* Knowledge of AI/ML/DL, Jupyter Notebooks, Storage Systems, Kubernetes, Container technologies, REST API, UI skills,
* Exposure to cloud computing technologies such as Red Hat OpenShift, Microservices Architecture, Kubernetes/Docker Deployment.
* Basic understanding of storage technologies: SAN, NAS, DAS
* Familiarity with RAID levels and disk configurations
* Knowledge of file systems (e.g., NTFS, ext4, ZFS)
* Experience with operating systems: Windows Server, Linux/Unix
* Basic networking concepts: TCP/IP, DNS, DHCP
* Scripting skills: Bash, PowerShell, or Python (for automation)
* Understanding of backup and recovery tools (e.g., Veeam, Commvault)
* Exposure to cloud storage: AWS S3, Azure Blob, or Google Cloud Storage
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.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Design and develop full-stack solutions integrating Conversational AI and Contact Center Analytics using Google Conversational Insights or similar platforms
+ Perform data analysis on large volumes of conversational data to extract actionable insights and improve customer experience
+ Develop and optimize prompts for LLMs to enhance the performance of AI-driven systems
+ Build and maintain RESTful APIs, backend services, and data pipelines using Python, Java, and JavaScript
+ Work with DBMS technologies (SQL/NoSQL) to manage structured and unstructured data efficiently
+ Apply Responsible AI principles to ensure ethical, transparent, and compliant AI usage
+ Collaborate on Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to validate new ideas and technologies
+ Stay current with emerging technologies and contribute to the innovation roadmap
+ Adapt quickly to changing requirements and work in a fast-paced, agile environment
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualification:**
+ Bachelor's Degree in Computer Science or other relevant streams
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._

**Job Summary**
NetApp is seeking a seasoned Software Engineer with substantial experience to become a vital member of our NAS development team. The NAS team at NetApp plays a pivotal role in creating and refining network protocols for enterprise-grade data storage solutions tailored for extensive on-premises, public, and private cloud environments. This presents an excellent opportunity to collaborate with a dynamic team that is delivering a transformative product in a rapidly expanding sector of the technology industry.
In your role as a Senior Technical Member, you will collaborate with a team of proficient system engineers responsible for the design, development, debugging, maintenance, and testing of software. Within the Research and Development division, system software engineers concentrate on enhancing existing products while also engaging in the creation of new offerings.
**Job Requirements**
+ Good hands-on experience in C, and C++ languages and debugging with GDB.
+ In-depth knowledge of Unix/Linux System Programming and multithreaded programming.
+ Strong data storage fundamentals. Computer Networking Skills
+ Should have a strong conceptual understanding of OS internals.
+ Strong algorithms, data structures, and multi-threaded programming expertise are required.
+ A major part of your responsibility will be to apply current skills and use up-to-date technologies to complete projects as part of the development cycle.
+ Ability to work on complex issues where data analysis requires an in-depth evaluation of variable factors & high problem-solving skills.
+ Experience in architecture, design, and development of system software.
+ As a subject matter expert, you will head & participate in technical discussions within the immediate group and across functions, where evaluating and executing design and development plans for products are reviewed.
+ You will have a direct influence on the choices, actions, and outcomes related to project direction.
+ Work as a senior team member on projects involving the development of new features, sustenance, and handling engineering escalations.
+ Participate in all phases of the product development cycle: from product definition and design, through implementation, debugging, testing, and early customer support.
+ Collaborate with other peer teams on the product, such as QA, product marketing, support, and other dependent engineering teams, to deliver solutions, understand customer use cases, and incorporate the value from those teams into work done within the team.
**Education**
+ A minimum of 4 - 8 years of experience is required.
+ A Bachelor of Science Degree in Electronics/Electrical Engineering or Computer Science, a Master degree, or a PhD; or equivalent experience is required.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
**Equal Opportunity Employer:**
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
**Why NetApp?**
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.

**Job Description Summary**
Responsible for designing, building, delivering and maintaining software applications & services. Working in the areas of machine, cloud, platform and/or application. Responsible for software lifecycle including activities such as requirement analysis, documentation/procedures and implementation.
You will work independently at the same time collaborate with all other roles within the teams to ensure project meets organizational standards and customer needs.
GE Healthcare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.
**Job Description**
**Roles and Responsibilities**
In this role, you will:
+ Design, develop, conduct unit test, and maintain microservices for scalability, manageability, extensibility, performance, and re-use.
+ Design and develop solutions on cloud platform, preferably on AWS.
+ Provide technical expertise in areas of AWS.
+ A solid understanding of SQL, relational database management system, data modelling, and normalization.
+ Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques
+ Skilled in breaking down problems, documenting problem statements and estimating efforts
**Qualifications/Requirements**
+ A minimum of 3 years of professional experience in software development with a Bachelor's Degree in Computer Science or in "STEM" Majors (Science, Technology, Engineering and Math)
+ Proven expertise (2+ years) in Python with Object Oriented experience, with knowledge of at least one Python web framework.
+ Understanding of the threading limitations of Python, multi-process architecture, Python data structures, and Python packaging
+ Debugging and unit testing skills using a well-known and accepted unit testing framework
+ Good understanding of Database queries
+ Knowledge of Python frameworks (e.g: Flask, Django)
+ Knowledge (2+ years) on RESTful API design and implementation
**Business Acumen**
+ Has the ability to break down problems and estimate time for development tasks.
+ Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.
+ Displays understanding of the project's value proposition for the customer. Shows commitment to deliver the best value proposition for the targeted customer.
**Personal Attributes**
+ Voices opinions and presents clear rationale. Uses data or factual evidence to influence.
+ Completes assigned tasks on time and with high quality. Takes independent responsibility for assigned deliverables.
+ Seeks to understand problems thoroughly before implementing solutions. Asks questions to clarify requirements when ambiguities are present.
+ Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks
**Inclusion and Diversity**
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership - always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration and support
#LI-MA6
#Hybrid
**Additional Information**
**Relocation Assistance Provided:** No

**Job Summary**
As a Interop Test Engineer, you will work as part of a team responsible for Interop testing of NetApp software solutions Interoperability with other hardware and software solutions. You will test storage and data management services to be deployed as containers in Kubernetes or native virtual machines and work with various public and private cloud providers with high focus on customer requirements and product quality meting the project timelines.
As part of your work, you would be required to work with other partner teams, engineer and developers to understand the test requirements, execution of required testing and automation of the testcases. Debug and troubleshoot issues seen during setup and testing.
**Job Requirements**
- Should have relevant experience working on storage or Host OS Interoperability testing
- Should be familiar with Server Hardware and Operating systems
- Should have skills for deploying and troubleshooting OS on server (OS install, driver, firmware upgrades etc)
- Should have skills in deploying and troubleshooting Kubernetes environments (Vanilla Kubernetes / OpenShift / Anthos / Tanzu / Rancher)
- Should have skills in managing, Administrating and troubleshooting cloud (AWS, GCP and Azure)
- Experience working with python for test automation or development
- Strong oral and written communication skills
- Ability to work collaboratively within a team to meet aggressive goals and high quality standards
- Strong aptitude for learning new technologies
Nice to have skills:
- Experience with REST API, Ansible, Terraform, Helm, Golang
- OS Administration skills ( Linux, Windows, ESXi)
- Familiarity with AWS, Azure or Google Cloud compute.
- Working experience of configuring and troubleshooting NAS/SAN environments
- Have relevant experience working on storage or Host OS Interoperability testing
- Familiar with Server Hardware and Operating systems
- Experience with ONTAP, CVS, or other NetApp products, or cloud-native storage platforms would be a plus.
**Education**
- Bachelor's or Masters in Computer Science Engineering with 2-4 years of relevant work experience

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
**Equal Opportunity Employer:**
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
**Why NetApp?**
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.