Lead Systems Engineer-Unix - (2600029I)
Missions
Must have excellent OS administration knowledge of Unix, Linux, Red Hat Linux 7/8/9
Must have experience in Redhat Satellite, Capsule and Template Management.
Knowledge on Scripting Shell / Perl and associate platform(s) and/or tools.
Must have minimum 7+ years of experience in Unix Servers operating system Administration, deploying, managing large Unix server infrastructure.
Must have experience in installing, configuring, migrating, performance tuning, troubleshooting, security, failover and load management of business application servers in various ENV.
Good to have knowledge and experience in clustering.
Must have experience in performing Unix update management tasks and troubleshoot/resolve issues.
Must have excellent debugging and problem analysis skills.
Knowledge on scripts in Shell / Perl, Python, and similar languages.
Good knowledge about virtualized environment.
Good Hands-on experience in managing, understand network requirements for Unix Server Infrastructure
Good knowledge and experience of Virtualization ,Cloud (AWS & Azure) Storage and Network
High degree of initiative, dependability and the ability to work with little supervision
Excellent communication skills to effectively communicate and deal with both internal and external customers.
Always Follow internal processes (SOPs, Golden Rules, ITIL, time tracking, escalation, etc)
Profile
Mandatory:
Linux, Red Hat Linux 5 / 6, Solaris 9/10, Veritas Volume Manager, x86 Hardware (HP/DELL/IBM), Volumetry on SAN / NAS
Veritas cluster, Vmware platform, Scripting - Shell / Perl
· 10+ years Linux engineering in production at scale (RHEL).
· Expert in systemd, boot process, LVM, XFS/ext4, iSCSI/multipath, RAID; tcpdump, iproute2.
· Strong Bash and Python; comfortable with regex and writing robust automation.
· Hands-on with experts role in Puppet, Ansible, Cloud Migration (Azure and AWS), Git, and CI/CD tools (GitHub Actions).
· Infrastructure as Code with Puppet and Ansible.
· Security: SELinux, SSH hardening, vulnerability scanning (OpenSCAP/Qualys).
· Cloud: experience with AWS/Azure, VPC/networking, IAM, On-prem to cloud migrations and managed K8s desirable.
· Demonstrated leadership in complex troubleshooting, incident management, and mentoring.
Basic:
Incident management
Change management
Problem management
Capacity planning
ITIL frame work
Result Orientation
Client Focus
Contribution to Strategy
People Development
Change leadership Cooperation
Team Leadership
Responsibilities
Lead Systems Engineer-Unix - (2600029I)
Missions
Must have excellent OS administration knowledge of Unix, Linux, Red Hat Linux 7/8/9
Must have experience in Redhat Satellite, Capsule and Template Management.
Knowledge on Scripting Shell / Perl and associate platform(s) and/or tools.
Must have minimum 7+ years of experience in Unix Servers operating system Administration, deploying, managing large Unix server infrastructure.
Must have experience in installing, configuring, migrating, performance tuning, troubleshooting, security, failover and load management of business application servers in various ENV.
Good to have knowledge and experience in clustering.
Must have experience in performing Unix update management tasks and troubleshoot/resolve issues.
Must have excellent debugging and problem analysis skills.
Knowledge on scripts in Shell / Perl, Python, and similar languages.
Good knowledge about virtualized environment.
Good Hands-on experience in managing, understand network requirements for Unix Server Infrastructure
Good knowledge and experience of Virtualization ,Cloud (AWS & Azure) Storage and Network
High degree of initiative, dependability and the ability to work with little supervision
Excellent communication skills to effectively communicate and deal with both internal and external customers.
Always Follow internal processes (SOPs, Golden Rules, ITIL, time tracking, escalation, etc)
Profile
Mandatory:
Linux, Red Hat Linux 5 / 6, Solaris 9/10, Veritas Volume Manager, x86 Hardware (HP/DELL/IBM), Volumetry on SAN / NAS
Veritas cluster, Vmware platform, Scripting - Shell / Perl
· 10+ years Linux engineering in production at scale (RHEL).
· Expert in systemd, boot process, LVM, XFS/ext4, iSCSI/multipath, RAID; tcpdump, iproute2.
· Strong Bash and Python; comfortable with regex and writing robust automation.
· Hands-on with experts role in Puppet, Ansible, Cloud Migration (Azure and AWS), Git, and CI/CD tools (GitHub Actions).
· Infrastructure as Code with Puppet and Ansible.
· Security: SELinux, SSH hardening, vulnerability scanning (OpenSCAP/Qualys).
· Cloud: experience with AWS/Azure, VPC/networking, IAM, On-prem to cloud migrations and managed K8s desirable.
· Demonstrated leadership in complex troubleshooting, incident management, and mentoring.
Basic:
Incident management
Change management
Problem management
Capacity planning
ITIL frame work
Result Orientation
Client Focus
Contribution to Strategy
People Development
Change leadership Cooperation
Team Leadership
Salary : Rs. 17,00,000.0 - Rs. 18,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Digital : Snowflake
documentation abilities. Ownership-driven| quality-focused| proactive mindset. Deliver engaging and interactive lectures on Snowflake Cloud Data Platform and related
technologies.
Conduct regular Q&A sessions to clarify student doubts and reinforce learning.
Make sessions interactive through live coding, quizzes, and group activities.
Create and maintain high-quality training content, including PowerPoint presentations,
assignments, and project briefs.
Guide students through hands-on labs and real-world projects.
Evaluate student performance and provide constructive feedback.
Stay updated with industry trends and incorporate them into teaching.
Collaborate with industry partners to improve course delivery.
Openness to pick up new tech skills in adjacent areas and adapt to the TD function
needs
Requirement:
Minimum 5 years of industry experience in snowflake and related technologies.
Prior teaching or mentoring experience is highly desirable.
Excellent communication and presentation skills.
Passion for teaching and helping others grow.
Experience with agile development and software engineering practices.
Responsibilities
Digital : Snowflake
documentation abilities. Ownership-driven| quality-focused| proactive mindset. Deliver engaging and interactive lectures on Snowflake Cloud Data Platform and related
technologies.
Conduct regular Q&A sessions to clarify student doubts and reinforce learning.
Make sessions interactive through live coding, quizzes, and group activities.
Create and maintain high-quality training content, including PowerPoint presentations,
assignments, and project briefs.
Guide students through hands-on labs and real-world projects.
Evaluate student performance and provide constructive feedback.
Stay updated with industry trends and incorporate them into teaching.
Collaborate with industry partners to improve course delivery.
Openness to pick up new tech skills in adjacent areas and adapt to the TD function
needs
Requirement:
Minimum 5 years of industry experience in snowflake and related technologies.
Prior teaching or mentoring experience is highly desirable.
Excellent communication and presentation skills.
Passion for teaching and helping others grow.
Experience with agile development and software engineering practices.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Cyber Security - IAM Professional Services
ob Description: Role Descriptions: Identity and Access Management (IAM)|RBAC|MFAPAMMFACSOC operations Security Information and Event Management (SIEM)- (with common security data lake for SOAR| UEBA| CTH)Security Orchestration| Automation| and Response (SOAR)Threat Intelligence Platforms (TIP) Cyber Threat Intelligence (CTI)Anti-phishing for websites mobile applications Cyber Threat Hunting (CTH)Endpoint Detection and Response (EDR)Antivirus Antimalware Solutions Vulnerability management tools (VAPT and WASA)Patch Management Tools Governance and Risk Management (GRC) Tools| Compliance Monitoring Tools| GRC Tools | Compliance Management Tools| Audit Management Tools DNS Security Threat Intelligence Sharing
Responsibilities
Cyber Security - IAM Professional Services
ob Description: Role Descriptions: Identity and Access Management (IAM)|RBAC|MFAPAMMFACSOC operations Security Information and Event Management (SIEM)- (with common security data lake for SOAR| UEBA| CTH)Security Orchestration| Automation| and Response (SOAR)Threat Intelligence Platforms (TIP) Cyber Threat Intelligence (CTI)Anti-phishing for websites mobile applications Cyber Threat Hunting (CTH)Endpoint Detection and Response (EDR)Antivirus Antimalware Solutions Vulnerability management tools (VAPT and WASA)Patch Management Tools Governance and Risk Management (GRC) Tools| Compliance Monitoring Tools| GRC Tools | Compliance Management Tools| Audit Management Tools DNS Security Threat Intelligence Sharing
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Experience in account payable
• Invoice Processing experience
• Expense Reimbursement Experience.
• B.Com / M.Com / MBA (Finance)
• Prior experience in BPO/BPS or shared services environment preferred.
• Willingness to work in shifts (if required) and from client location
• Ability to work in a client-facing, fast-paced BPS environment.
• Strong analytical and problem-solving skills.
• Good communication
Responsibilities
• Experience in account payable
• Invoice Processing experience
• Expense Reimbursement Experience.
• B.Com / M.Com / MBA (Finance)
• Prior experience in BPO/BPS or shared services environment preferred.
• Willingness to work in shifts (if required) and from client location
• Ability to work in a client-facing, fast-paced BPS environment.
• Strong analytical and problem-solving skills.
• Good communication
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Keywords to Search : AI/ML,LLM, Deep learning.
No. of Openings 4
Experience 4 To 6 Year(s)
Skill set Generative AI, LLM, RAG, Model Fine-tuning, Deep-Learning, Transformers (Please interview internally and Upload only pre-vetted profiles)
Domain knowledge Experience:
o Proven experience in developing and working with state-of-the-art large language models (LLMs) such as GPT, BERT, T5, or other transformer-based models.
o Strong expertise in training, fine-tuning, and optimizing LLMs for real-world applications.
o Hands-on experience with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.
o Experience with advanced techniques in NLP such as attention mechanisms, transfer learning, and few-shot learning.
o Practical knowledge of deploying AI models at scale in production environments.
• Skills:
o Expertise in deep learning and machine learning algorithms, particularly in the context of generative models.
o Proficiency in programming languages like Python, and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and others.
o Familiarity with cloud-based solutions and tools (AWS, GCP, or Azure) for scalable model training and deployment.
o Knowledge of distributed computing and parallelism for large-scale training.
Job Description As a Generative AI Engineer specialized in Large Language Models (LLMs), you will work on developing, implementing, and optimizing state-of-the-art generative models that tackle a wide range of complex challenges in AI. You will be part of a multidisciplinary team pushing the frontiers of language understanding and generation, contributing to the research, development, and deployment of large-scale AI systems that can generate coherent, contextually aware, and human-like text.
Key Responsibilities:
• Research & Development: Lead and contribute to research initiatives focused on generative models, particularly LLMs like GPT, BERT, T5, and cutting-edge transformer architectures.
• Model Design & Implementation: Design, implement, and optimize LLM architectures for text generation, completion, summarization, and other NLP tasks.
• Training & Fine-Tuning: Conduct training and fine-tuning of large-scale models on specialized datasets, leveraging modern machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Optimization: Work on scaling, optimizing, and improving the efficiency of large models, including distributed training, parallelism, and hardware acceleration (GPUs, TPUs).
• Deployment & Integration: Collaborate with engineering teams to integrate generative models into production systems and applications, ensuring the scalability, robustness, and efficiency of deployed models.
Responsibilities
Keywords to Search : AI/ML,LLM, Deep learning.
No. of Openings 4
Experience 4 To 6 Year(s)
Skill set Generative AI, LLM, RAG, Model Fine-tuning, Deep-Learning, Transformers (Please interview internally and Upload only pre-vetted profiles)
Domain knowledge Experience:
o Proven experience in developing and working with state-of-the-art large language models (LLMs) such as GPT, BERT, T5, or other transformer-based models.
o Strong expertise in training, fine-tuning, and optimizing LLMs for real-world applications.
o Hands-on experience with ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc.
o Experience with advanced techniques in NLP such as attention mechanisms, transfer learning, and few-shot learning.
o Practical knowledge of deploying AI models at scale in production environments.
• Skills:
o Expertise in deep learning and machine learning algorithms, particularly in the context of generative models.
o Proficiency in programming languages like Python, and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and others.
o Familiarity with cloud-based solutions and tools (AWS, GCP, or Azure) for scalable model training and deployment.
o Knowledge of distributed computing and parallelism for large-scale training.
Job Description As a Generative AI Engineer specialized in Large Language Models (LLMs), you will work on developing, implementing, and optimizing state-of-the-art generative models that tackle a wide range of complex challenges in AI. You will be part of a multidisciplinary team pushing the frontiers of language understanding and generation, contributing to the research, development, and deployment of large-scale AI systems that can generate coherent, contextually aware, and human-like text.
Key Responsibilities:
• Research & Development: Lead and contribute to research initiatives focused on generative models, particularly LLMs like GPT, BERT, T5, and cutting-edge transformer architectures.
• Model Design & Implementation: Design, implement, and optimize LLM architectures for text generation, completion, summarization, and other NLP tasks.
• Training & Fine-Tuning: Conduct training and fine-tuning of large-scale models on specialized datasets, leveraging modern machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
• Optimization: Work on scaling, optimizing, and improving the efficiency of large models, including distributed training, parallelism, and hardware acceleration (GPUs, TPUs).
• Deployment & Integration: Collaborate with engineering teams to integrate generative models into production systems and applications, ensuring the scalability, robustness, and efficiency of deployed models.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
