27,085 AI Infrastructure jobs in India
Sre- Ai Infrastructure
Posted today
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- At Ellicium be ready for contagious excitement, worthy challenges and enriching learning experience every day. We trust in the process of failing fast and learning fast.
You will find ‘Ellicians’ putting their heart to get the perfect dish during our monthly potlucks or arguing over best Nolan movie during lunch breaks. It is all about having fun!
We are passionate people with immense love for what we do and we are proud of what we have created.
**Our Key Values**:
**AMBITION**:
Businesses need to make better and faster decisions by analyzing data to stay competitive and future-ready
**TEAMWORK**:
Businesses need to make better and faster decisions by analyzing data to stay competitive and future-ready
**GROWTH**:
Businesses need to make better and faster decisions by analyzing data to stay competitive and future-ready
**COMMUNITY**:
Businesses need to make better and faster decisions by analyzing data to stay competitive and future-ready
**Perks and Benefits**:
- Businesses need to make better and faster Businesses need to make better and faster decisions by analyzing data
to stay competitive and future-ready**Targeted Bonus Program**:
**Health Care**:
**Competitive Salary**:
The Service Operations team at “Product Platform” Systems is responsible for building and operating the platform and infrastructure that enables us to deliver our groundbreaking capabilities to enterprise customers.
As a site reliability engineer on this team, you will lead key system engineering and automation functions, enhancing our capabilities to provide a reliable and scalable service for customers, in a hybrid deployment pattern.
**How you will make an impact**:
- Assume broad responsibilities for successful delivery of our “Product Platform” services in a hybrid model including but not limited to, deployment, configuration, integrations, and ongoing operations.
- Take ownership for ongoing updates, upgrades and patches on customer environments.
- Augment ongoing efforts to design and develop automation for deployments, updates and upgrades of the entire “Product Platform” software stack.
- Build the systems and tools for centralized command and control of distributed environments.
- Partner and collaborate with product and engineering teams to improve the security posture and operational readiness of our systems with the flexibility to integrate into unique customer environments.
- Participate in on-call rotation responsibilities.
**Basic qualifications**:
- Bachelors and/or Masters in CS /EE or related field.
- 5+ years of hands-on experience as an SRE with focus on systems and infrastructure for cloud/SaaS production requirements.
- Extensive experience building, configuring, securing and administering Linux systems large-scale production environments.
- Strong scripting /programming skills (Python preferable) with experience with automated deployment systems, e.g. Ansible, Terraform, etc.
- Systematic problem-solving approach to troubleshooting, and the desire to solve the root cause of common problems in 24×7 environments.
**Preferred Qualifications**:
- Deep understanding of DNS, DHCP, LDAP, NFS, Kerberos, PAM, PXE, SNMP, SSH, HTTP/S, NTP, troubleshooting network performance issues.
- Knowledge of software development processes and methods, CI/CD pipelines and experience with common version control software.
- Knowledge of virtualization, multiple hypervisor technologies, Kubernetes cluster administration and management.
- Experience with monitoring and logging systems and the ability to identify new technologies as appropriate.
- Configuration and maintenance of web servers, load balancers, databases, storage systems and messaging systems.
- A passion to design for high availability and scale, with the discipline and desire for extensive automation.
- Strong communication skills with the ability and willingness to work with diverse teams, and customers, across multiple time zones.
Account Executive - Cloud & AI Infrastructure
Posted 2 days ago
Job Viewed
Job Description
Apply ( Location:Gurgaon, India
+ Alternate LocationMumbai
+ Area of InterestSales - Product
+ Job TypeProfessional
+ Technology InterestCloud & AI (DCN & Compute)
+ Job Id1446876
**Join Cisco's Cloud & AI Infrastructure (CAI) Team - Drive Innovation in Public Sector**
As an Account Executive, you will be part of Cisco India's Cloud & AI Infrastructure (CAI) architecture sales team, passionate about leading engagements with some of the country's largest Public Sector (Government) accounts. Your mission: to accelerate CAI portfolio growth in the government segment by building strong mindshare among customers and partners across India. You will work in close alignment with Cisco's global and APJ regional teams, and collaborate extensively with the local India sales and partner ecosystem.
**Are You Ready to Craft the Future of Technology?**
Do you thrive on challenges and innovation? Are you a driven leader, strategist, or doer who consistently surpasses sales goals? Does closing high-value deals and winning new customers excite you? If you have a strong background in enterprise sales, sharp product positioning skills, and a relentless, positive attitude-Cisco CAI APJ Sales is the place for you.
**Key Responsibilities:**
+ Play a key role in strategic planning and execution to drive CAI sales growth.
+ Engage directly with customers and partners to lead CAI solution opportunities and projects.
+ Define and implement sales strategies for Cisco's CAI multi-cloud offerings, including AI Infrastructure, HCI, Datacenter Networking, and Cloud Management/Orchestration solutions.
+ Foster partnerships within Cisco and externally to align with the go-to-market strategy and ensure cohesive execution across teams.
+ Cultivate key public sector relationships, especially with state governments in North and West India, to drive Cisco preference.
+ Support partner enablement, anticipate emerging partner needs, and develop a strong future-ready pipeline.
+ Collaborate with product specialists and account teams to complete strategy and achieve sales objectives.
**Who You'll Work With**
At Cisco Sales, we dream big, grow fast, connect people, and celebrate success-together. We respect individuality and build an environment where everyone can thrive.
**Who You Are**
12+ years of experience in IT solution sales, with a focus on Data Center and Cloud technologies including servers, storage, AI infrastructure, HCI, DC networking, and related software.
Proven expertise in cloud solutions and datacenter switching sales strategy.
Established relationships in the Public Sector-particularly with North/West state government customers and SIs.
Solid understanding of evolving Data Center and Cloud trends, competitive landscape, and Cisco's position.
Demonstrated success working in high-performing, cross-functional teams.
**Business Acumen & Skills**
Deep understanding of partner/customer drivers and profitability models at the country level.
Ability to demonstrate financial data to drive business decisions aligned with Cisco's financial goals.
Executive-level communication, negotiation, and customer management.
Strong presentation skills and ability to lead sophisticated deal cycles.
Skilled in building strategic account plans that align with broader market trends.
Capable of leading large-scale solution initiatives and coordinating sources optimally.
Cross-functional collaborator with a strategic vision for commercial models and scalable execution.
**We Are Cisco**
#WeAreCisco, where each person is outstanding, but we bring our talents to work as a team and make a difference powering an inclusive future for all.
We embrace digital, and help our customers implement change in their digital businesses. Some may think we're "old" (36 years strong) and only about hardware, but we're also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do - you can't put us in a box!
But "Digital Transformation" is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it).
Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA). We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward.
So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing?
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.
Account Executive - Cloud & AI Infrastructure
Posted 2 days ago
Job Viewed
Job Description
Apply ( Location:Gurgaon, India
+ Alternate LocationMumbai
+ Area of InterestSales - Product
+ Job TypeProfessional
+ Technology InterestCloud & AI (DCN & Compute)
+ Job Id1446876
**Join Cisco's Cloud & AI Infrastructure (CAI) Team - Drive Innovation in Public Sector**
As an Account Executive, you will be part of Cisco India's Cloud & AI Infrastructure (CAI) architecture sales team, passionate about leading engagements with some of the country's largest Public Sector (Government) accounts. Your mission: to accelerate CAI portfolio growth in the government segment by building strong mindshare among customers and partners across India. You will work in close alignment with Cisco's global and APJ regional teams, and collaborate extensively with the local India sales and partner ecosystem.
**Are You Ready to Craft the Future of Technology?**
Do you thrive on challenges and innovation? Are you a driven leader, strategist, or doer who consistently surpasses sales goals? Does closing high-value deals and winning new customers excite you? If you have a strong background in enterprise sales, sharp product positioning skills, and a relentless, positive attitude-Cisco CAI APJ Sales is the place for you.
**Key Responsibilities:**
+ Play a key role in strategic planning and execution to drive CAI sales growth.
+ Engage directly with customers and partners to lead CAI solution opportunities and projects.
+ Define and implement sales strategies for Cisco's CAI multi-cloud offerings, including AI Infrastructure, HCI, Datacenter Networking, and Cloud Management/Orchestration solutions.
+ Foster partnerships within Cisco and externally to align with the go-to-market strategy and ensure cohesive execution across teams.
+ Cultivate key public sector relationships, especially with state governments in North and West India, to drive Cisco preference.
+ Support partner enablement, anticipate emerging partner needs, and develop a strong future-ready pipeline.
+ Collaborate with product specialists and account teams to complete strategy and achieve sales objectives.
**Who You'll Work With**
At Cisco Sales, we dream big, grow fast, connect people, and celebrate success-together. We respect individuality and build an environment where everyone can thrive.
**Who You Are**
12+ years of experience in IT solution sales, with a focus on Data Center and Cloud technologies including servers, storage, AI infrastructure, HCI, DC networking, and related software.
Proven expertise in cloud solutions and datacenter switching sales strategy.
Established relationships in the Public Sector-particularly with North/West state government customers and SIs.
Solid understanding of evolving Data Center and Cloud trends, competitive landscape, and Cisco's position.
Demonstrated success working in high-performing, cross-functional teams.
**Business Acumen & Skills**
Deep understanding of partner/customer drivers and profitability models at the country level.
Ability to demonstrate financial data to drive business decisions aligned with Cisco's financial goals.
Executive-level communication, negotiation, and customer management.
Strong presentation skills and ability to lead sophisticated deal cycles.
Skilled in building strategic account plans that align with broader market trends.
Capable of leading large-scale solution initiatives and coordinating sources optimally.
Cross-functional collaborator with a strategic vision for commercial models and scalable execution.
**We Are Cisco**
#WeAreCisco, where each person is outstanding, but we bring our talents to work as a team and make a difference powering an inclusive future for all.
We embrace digital, and help our customers implement change in their digital businesses. Some may think we're "old" (36 years strong) and only about hardware, but we're also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do - you can't put us in a box!
But "Digital Transformation" is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it).
Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA). We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward.
So, you have colorful hair? Don't care. Tattoos? Show off your ink. Like polka dots? That's cool. Pop culture geek? Many of us are. Passion for technology and world changing?
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.
Account Executive - Cloud & AI Infrastructure.
Posted today
Job Viewed
Job Description
Join Cisco’s Cloud & AI Infrastructure (CAI) Team – Drive Innovation in Public Sector
As an Account Executive, you will be part of Cisco India’s Cloud & AI Infrastructure (CAI) architecture sales team, passionate about leading engagements with some of the country’s largest Public Sector (Government) accounts. Your mission: to accelerate CAI portfolio growth in the government segment by building strong mindshare among customers and partners across India. You will work in close alignment with Cisco’s global and APJ regional teams, and collaborate extensively with the local India sales and partner ecosystem.
Are You Ready to Craft the Future of Technology?
Do you thrive on challenges and innovation? Are you a driven leader, strategist, or doer who consistently surpasses sales goals? Does closing high-value deals and winning new customers excite you? If you have a strong background in enterprise sales, sharp product positioning skills, and a relentless, positive attitude—Cisco CAI APJ Sales is the place for you.
Key Responsibilities:
Who You’ll Work With
At Cisco Sales, we dream big, grow fast, connect people, and celebrate success—together. We respect individuality and build an environment where everyone can thrive.
Who You Are
12+ years of experience in IT solution sales, with a focus on Data Center and Cloud technologies including servers, storage, AI infrastructure, HCI, DC networking, and related software.
Proven expertise in cloud solutions and datacenter switching sales strategy.
Established relationships in the Public Sector—particularly with North/West state government customers and SIs.
Solid understanding of evolving Data Center and Cloud trends, competitive landscape, and Cisco’s position.
Demonstrated success working in high-performing, cross-functional teams.
Business Acumen & Skills
Deep understanding of partner/customer drivers and profitability models at the country level.
Ability to demonstrate financial data to drive business decisions aligned with Cisco’s financial goals.
Executive-level communication, negotiation, and customer management.
Strong presentation skills and ability to lead sophisticated deal cycles.
Skilled in building strategic account plans that align with broader market trends.
Capable of leading large-scale solution initiatives and coordinating sources optimally.
Cross-functional collaborator with a strategic vision for commercial models and scalable execution.
Account Executive - Cloud & AI Infrastructure.
Posted today
Job Viewed
Job Description
Join Cisco’s Cloud & AI Infrastructure (CAI) Team – Drive Innovation in Public Sector
As an Account Executive, you will be part of Cisco India’s Cloud & AI Infrastructure (CAI) architecture sales team, passionate about leading engagements with some of the country’s largest Public Sector (Government) accounts. Your mission: to accelerate CAI portfolio growth in the government segment by building strong mindshare among customers and partners across India. You will work in close alignment with Cisco’s global and APJ regional teams, and collaborate extensively with the local India sales and partner ecosystem.
Are You Ready to Craft the Future of Technology?
Do you thrive on challenges and innovation? Are you a driven leader, strategist, or doer who consistently surpasses sales goals? Does closing high-value deals and winning new customers excite you? If you have a strong background in enterprise sales, sharp product positioning skills, and a relentless, positive attitude—Cisco CAI APJ Sales is the place for you.
Key Responsibilities:
Who You’ll Work With
At Cisco Sales, we dream big, grow fast, connect people, and celebrate success—together. We respect individuality and build an environment where everyone can thrive.
Who You Are
12+ years of experience in IT solution sales, with a focus on Data Center and Cloud technologies including servers, storage, AI infrastructure, HCI, DC networking, and related software.
Proven expertise in cloud solutions and datacenter switching sales strategy.
Established relationships in the Public Sector—particularly with North/West state government customers and SIs.
Solid understanding of evolving Data Center and Cloud trends, competitive landscape, and Cisco’s position.
Demonstrated success working in high-performing, cross-functional teams.
Business Acumen & Skills
Deep understanding of partner/customer drivers and profitability models at the country level.
Ability to demonstrate financial data to drive business decisions aligned with Cisco’s financial goals.
Executive-level communication, negotiation, and customer management.
Strong presentation skills and ability to lead sophisticated deal cycles.
Skilled in building strategic account plans that align with broader market trends.
Capable of leading large-scale solution initiatives and coordinating sources optimally.
Cross-functional collaborator with a strategic vision for commercial models and scalable execution.
Software Engineer, AI Infrastructure, Cloud ML
Posted 2 days ago
Job Viewed
Job Description
+ Bachelor's degree or equivalent practical experience.
+ 5 years of experience with software development in one or more programming languages.
+ 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
+ 3 years of experience in testing, maintaining, or launching software products.
+ 3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection making), ML infrastructure, or specialization in a ML related field.
**Preferred qualifications:**
+ Master's degree in Computer Science or a related field, or equivalent practical experience.
+ 10 years of experience in the software industry creating distributed systems, tools, or services.
+ Experience working with Graphics Processing Unit (GPU), Tensor Processing Unit (TPU), or HPC clusters.
+ Experience with orchestration tools like SLURM or Kubernetes.
+ Knowledge of GPUs and related ecosystems and technologies.
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud's mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
**Responsibilities:**
+ Deploy cluster environments, and offer informed opinions on orchestrators like SLURM or Google Cloud Platform (GCP) Google Kubernetes Engine (GKE). Differentiate the high performance compute (HPC) or Machine Learning (ML) landscape to support the AI/ML or HPC customers.
+ Design and develop the tools and services with incremental milestones, enabling iteration for new models entering the market.
+ Work with peers across Cloud ML Compute Services (CMCS) to contribute to leadership and influence decision-making.
+ Manage relationships with partners within CMCS and across Core ML, GCE, GKE, NetInfra etc. Partner with the United States teams to ensure technical designs align across the organization, considering feasibility and maintainability.
+ Contribute to the open-source community, manage the repository, and promote internal and external community around this offering.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:
Sr Systems Engineer Linux – AI Infrastructure
Posted 4 days ago
Job Viewed
Job Description
We are seeking a highly skilled Senior Linux Administrator to join our team, focusing on the implementation and management of on-premises Linux servers optimized for AI/ML workloads. The ideal candidate will have deep expertise in core Linux system administration, with a strong foundation in configuring and optimizing servers for high-performance computing tasks. Responsibilities include deploying and maintaining robust Linux environments, automating system processes, and ensuring security and stability for AI/ML pipelines. While training on NVIDIA technologies will be provided, the candidate must demonstrate proficiency in Linux ecosystem tools, scripting, and troubleshooting complex on-premises systems. This role demands a proactive problem-solver capable of delivering reliable, high-performance infrastructure to support cutting-edge AI/ML initiatives.
Key Responsibilities
- Support deployment and maintenance of NVIDIA GPU-accelerated systems.
- Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, OpenShift, AKS, EKS, GKE).
- Perform day-to-day system administration across compute, storage, and networking layers.
- Automate infrastructure tasks using Shell scripts, Ansible, or similar tools.
- Collaborate with DevOps, data science, and engineering teams to ensure scalable, resilient infrastructure for AI/ML workloads.
- Monitor infrastructure health and performance; participate in troubleshooting and root cause analysis.
- Extensive experience in managing, configuring, and troubleshooting Linux-based systems (e.g., RHEL, Ubuntu, CentOS, Debian) in enterprise environments, including kernel tuning, system monitoring, and performance optimization.
- Hands-on experience in deploying and configuring Linux servers for AI/ML applications, including setup of GPU-accelerated environments, storage optimization for large datasets (e.g., using RAID, LVM), and ensuring system stability under intensive computational loads—note that training on NVIDIA technologies will be provided.
- Expertise in tuning Linux systems for performance, including CPU/GPU resource allocation, memory management, and I/O optimization, tailored to on-premises setups handling AI/ML training and inference workloads.
- Proven ability to diagnose and resolve intricate problems in Linux environments, such as hardware failures, network bottlenecks, or software conflicts, with a emphasis on minimizing downtime in mission-critical on-premises AI/ML systems.
Qualifications
• Min 7 years of experience in systems engineering or enterprise infrastructure roles.
• Understanding of enterprise storage, networking, and system monitoring tools.
• Scripting and automation experience (e.g., Bash, Python, Ansible).
• Strong communication, documentation, and troubleshooting skills.
• Comfortable working independently in a remote environment.
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Sr systems engineer linux – ai infrastructure
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Senior Linux Administrator to join our team, focusing on the implementation and management of on-premises Linux servers optimized for AI/ML workloads. The ideal candidate will have deep expertise in core Linux system administration, with a strong foundation in configuring and optimizing servers for high-performance computing tasks. Responsibilities include deploying and maintaining robust Linux environments, automating system processes, and ensuring security and stability for AI/ML pipelines. While training on NVIDIA technologies will be provided, the candidate must demonstrate proficiency in Linux ecosystem tools, scripting, and troubleshooting complex on-premises systems. This role demands a proactive problem-solver capable of delivering reliable, high-performance infrastructure to support cutting-edge AI/ML initiatives.Key ResponsibilitiesSupport deployment and maintenance of NVIDIA GPU-accelerated systems.Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, Open Shift, AKS, EKS, GKE).Perform day-to-day system administration across compute, storage, and networking layers.Automate infrastructure tasks using Shell scripts, Ansible, or similar tools.Collaborate with Dev Ops, data science, and engineering teams to ensure scalable, resilient infrastructure for AI/ML workloads.Monitor infrastructure health and performance; participate in troubleshooting and root cause analysis.Extensive experience in managing, configuring, and troubleshooting Linux-based systems (e.g., RHEL, Ubuntu, Cent OS, Debian) in enterprise environments, including kernel tuning, system monitoring, and performance optimization.Hands-on experience in deploying and configuring Linux servers for AI/ML applications, including setup of GPU-accelerated environments, storage optimization for large datasets (e.g., using RAID, LVM), and ensuring system stability under intensive computational loads—note that training on NVIDIA technologies will be provided.Expertise in tuning Linux systems for performance, including CPU/GPU resource allocation, memory management, and I/O optimization, tailored to on-premises setups handling AI/ML training and inference workloads.Proven ability to diagnose and resolve intricate problems in Linux environments, such as hardware failures, network bottlenecks, or software conflicts, with a emphasis on minimizing downtime in mission-critical on-premises AI/ML systems.Qualifications• Min 7 years of experience in systems engineering or enterprise infrastructure roles.• Understanding of enterprise storage, networking, and system monitoring tools.• Scripting and automation experience (e.g., Bash, Python, Ansible).• Strong communication, documentation, and troubleshooting skills.• Comfortable working independently in a remote environment.
Sr systems engineer linux – ai infrastructure
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Senior Linux Administrator to join our team, focusing on the implementation and management of on-premises Linux servers optimized for AI/ML workloads. The ideal candidate will have deep expertise in core Linux system administration, with a strong foundation in configuring and optimizing servers for high-performance computing tasks. Responsibilities include deploying and maintaining robust Linux environments, automating system processes, and ensuring security and stability for AI/ML pipelines. While training on NVIDIA technologies will be provided, the candidate must demonstrate proficiency in Linux ecosystem tools, scripting, and troubleshooting complex on-premises systems. This role demands a proactive problem-solver capable of delivering reliable, high-performance infrastructure to support cutting-edge AI/ML initiatives.Key ResponsibilitiesSupport deployment and maintenance of NVIDIA GPU-accelerated systems.Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, Open Shift, AKS, EKS, GKE).Perform day-to-day system administration across compute, storage, and networking layers.Automate infrastructure tasks using Shell scripts, Ansible, or similar tools.Collaborate with Dev Ops, data science, and engineering teams to ensure scalable, resilient infrastructure for AI/ML workloads.Monitor infrastructure health and performance; participate in troubleshooting and root cause analysis.Extensive experience in managing, configuring, and troubleshooting Linux-based systems (e.g., RHEL, Ubuntu, Cent OS, Debian) in enterprise environments, including kernel tuning, system monitoring, and performance optimization.Hands-on experience in deploying and configuring Linux servers for AI/ML applications, including setup of GPU-accelerated environments, storage optimization for large datasets (e.g., using RAID, LVM), and ensuring system stability under intensive computational loads—note that training on NVIDIA technologies will be provided.Expertise in tuning Linux systems for performance, including CPU/GPU resource allocation, memory management, and I/O optimization, tailored to on-premises setups handling AI/ML training and inference workloads.Proven ability to diagnose and resolve intricate problems in Linux environments, such as hardware failures, network bottlenecks, or software conflicts, with a emphasis on minimizing downtime in mission-critical on-premises AI/ML systems.Qualifications• Min 7 years of experience in systems engineering or enterprise infrastructure roles.• Understanding of enterprise storage, networking, and system monitoring tools.• Scripting and automation experience (e.g., Bash, Python, Ansible).• Strong communication, documentation, and troubleshooting skills.• Comfortable working independently in a remote environment.
Sr systems engineer linux – ai infrastructure
Posted today
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Job Description
We are seeking a highly skilled Senior Linux Administrator to join our team, focusing on the implementation and management of on-premises Linux servers optimized for AI/ML workloads. The ideal candidate will have deep expertise in core Linux system administration, with a strong foundation in configuring and optimizing servers for high-performance computing tasks. Responsibilities include deploying and maintaining robust Linux environments, automating system processes, and ensuring security and stability for AI/ML pipelines. While training on NVIDIA technologies will be provided, the candidate must demonstrate proficiency in Linux ecosystem tools, scripting, and troubleshooting complex on-premises systems. This role demands a proactive problem-solver capable of delivering reliable, high-performance infrastructure to support cutting-edge AI/ML initiatives.Key ResponsibilitiesSupport deployment and maintenance of NVIDIA GPU-accelerated systems.Deploy and support Kubernetes clusters across various environments and distros (e.g., RKE, Open Shift, AKS, EKS, GKE).Perform day-to-day system administration across compute, storage, and networking layers.Automate infrastructure tasks using Shell scripts, Ansible, or similar tools.Collaborate with Dev Ops, data science, and engineering teams to ensure scalable, resilient infrastructure for AI/ML workloads.Monitor infrastructure health and performance; participate in troubleshooting and root cause analysis.Extensive experience in managing, configuring, and troubleshooting Linux-based systems (e.g., RHEL, Ubuntu, Cent OS, Debian) in enterprise environments, including kernel tuning, system monitoring, and performance optimization.Hands-on experience in deploying and configuring Linux servers for AI/ML applications, including setup of GPU-accelerated environments, storage optimization for large datasets (e.g., using RAID, LVM), and ensuring system stability under intensive computational loads—note that training on NVIDIA technologies will be provided.Expertise in tuning Linux systems for performance, including CPU/GPU resource allocation, memory management, and I/O optimization, tailored to on-premises setups handling AI/ML training and inference workloads.Proven ability to diagnose and resolve intricate problems in Linux environments, such as hardware failures, network bottlenecks, or software conflicts, with a emphasis on minimizing downtime in mission-critical on-premises AI/ML systems.Qualifications• Min 7 years of experience in systems engineering or enterprise infrastructure roles.• Understanding of enterprise storage, networking, and system monitoring tools.• Scripting and automation experience (e.g., Bash, Python, Ansible).• Strong communication, documentation, and troubleshooting skills.• Comfortable working independently in a remote environment.