214 Onpremise Jobs

Our desired candidate should posses the below skills: We need a senior OCI Admin in the team to manage platform at Multiple Projects, performing the below activities: 1. Manage 3 environments at Infra Level 2. Preventive Maintenance 3. Operating System (OS) Management and OCI Services 4. Coordination with the OCI Required: Oracle Cloud Infrastructure 2023 Architect Associate or higher OCI support, including user management, IAM policies, and AD SSO integrations Experience with IPSec VPNs, network routing, and security group issues in OCI CloudGuard experience and alert resolution DevOps skills, particularly Terraform scripting Basic Linux administrative skills (training provided for less experienced candidates) Desirable: Oracle Linux Certification and ITIL Foundation Advanced DevOps skills (Terraform for full infrastructure builds, Ansible for Linux configurations) FastConnect configuration experience Oracle Database knowledge (basic experience with TNS connections and database links) Technical Scope: Build and deploy Docker images Manage Helm charts and deployments across all three environments: sandbox, staging, and production Update LLD/HLD documentation (infra-related only) Maintain and update CIQ documents Support in case of issue on observability and monitoring of the system Cloud/Containerization: Kubernetes, Docker DevOps Tools: Jenkins, Git, CI/CD workflows Scripting Languages: Shell scripting Package Management: Helm (Kubernetes) Monitoring Tools: Prometheus, Grafana Operating Systems: Linux / Oracle Linux Responsibilities We need a senior OCI Admin in the team to manage platform at Multiple Projects, performing the below activities: 1. Manage 3 environments at Infra Level 2. Preventive Maintenance 3. Operating System (OS) Management and OCI Services 4. Coordination with the OCI This role will lead the team of OCI engineers with the following mandate: 1. Standardization of platform stability and maintenance across MS engagements. 2. Lead a team of OCI experts 3. Ensure platform stability at OCI layer 4. Performance Optimization of DB, platform and applications 5. Experienced on handling different infrastructure models - OCI/Hybrid/OnPrem

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How? By creating innovative technology that makes selling cars better for our customers, and buying and owning cars better for theirs. We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it? Role Overview: We are seeking an experienced Microsoft Engineer to lead a large-scale migration from Windows Server 2016. This role will focus on designing and developing migration strategies in close collaboration with application owners, as well as validating solutions to ensure compatibility and stability. Key responsibilities include assessing existing 2016 environments, identifying risks and dependencies, creating detailed architecture and migration roadmaps, and developing comprehensive test plans to support a seamless transition. Key duties & responsiblities Lead and contribute to a large-scale Microsoft Server 2016 migration program across multiple environments. Assess existing Windows Server 2016 infrastructure, applications, and dependencies to identify risks, remediation paths, and migration readiness. Define and design migration strategies and roadmaps, ensuring minimal disruption to business services. Work closely with application owners and SMEs to validate compatibility, stability, and performance of workloads post-migration. Develop detailed test plans, migration runbooks, rollback procedures, and technical documentation. Perform technical proof-of-concepts (POCs), solution validations, and provide recommendations for migration approaches. Collaborate with security teams to ensure migration activities align with corporate security standards and remediate vulnerabilities. Provide technical expertise and act as a subject matter authority for Windows Server migrations within hybrid on-prem and cloud environments. Support migration execution phases with troubleshooting, root cause analysis, and post-migration validation as required. Mentor and provide knowledge transfer to operational support teams to ensure long-term sustainability of the migrated environments. Stay current with Microsoft lifecycle, Extended Security Updates (ESUs), and emerging technologies to inform migration planning. Essential skillsets Strong expertise in Microsoft Windows Server (2012–2019) with a focus on migration planning, design, and validation. Hands-on experience with Active Directory, DNS, DHCP, Group Policy, and Certificate Services, including cross-version migrations. Proven ability to work with large-scale environments (hundreds or thousands of servers), including dependency mapping and risk assessment. Experience in developing and executing migration runbooks, rollback plans, and validation/testing frameworks. Knowledge of Microsoft lifecycle management, including Extended Security Updates (ESUs), patching, and compliance considerations. Practical understanding of SCCM / Endpoint Configuration Manager and automation tools for system upgrades and configuration deployment. Familiarity with hybrid environments (on-premises and cloud, e.g., AWS) and workload migration strategies. Awareness of security best practices, endpoint protection, and hardening standards during OS transitions. Strong troubleshooting and problem-solving skills, particularly with compatibility and application stability issues during migration. Ability to manage multiple concurrent workstreams and collaborate across infrastructure, application, and security teams. Desirable knowledge of VMware virtualization platforms and SQL Server basics to support integrated migrations. Why join us? We’re on a journey to become market leaders in our space – and with that comes some incredible opportunities. Collaborate and learn from industry experts from all over the globe. Work with game-changing products and services. Get the training and support you need to try new things, adapt to quick changes and explore different paths. Join Keyloop and progress your career, your way. An inclusive environment to thrive We’re committed to fostering an inclusive work environment. One that respects all dimensions of diversity. We promote an inclusive culture within our business, and we celebrate different employees and lifestyles – not just on key days, but every day. Be rewarded for your efforts We believe people should be paid based on their performance so our pay and benefits reflect this and are designed to attract the very best talent. We encourage everyone in our organisation to explore opportunities which enable them to grow their career through investment in their development but equally by working in a culture which fosters support and unbridled collaboration. Keyloop doesn’t require academic qualifications for this position. We select based on experience and potential, not credentials. We are also an equal opportunity employer committed to building a diverse and inclusive workforce. We value diversity and encourage candidates of all backgrounds to apply .

Roles and Responsibilities * Lead the implementation of MuleSoft solutions for clients, ensuring successful project delivery and customer satisfaction. * Collaborate with cross-functional teams to design, develop, and deploy integrations using MuleSoft Anypoint Platform. * Provide technical guidance and mentorship to junior team members on MuleSoft best practices, architecture, and troubleshooting. * Ensure compliance with RAML (Rapid Application Development Language) standards for API design and documentation. Desired Candidate Profile * 7-9 years of experience in IT services & consulting with expertise in MuleSoft Integration. * Strong understanding of Cloudhub, Onpremise, and Cloud-based integrations. * Proficiency in B.Tech/B.E. or M.Tech degree from a reputed institution.

Designing and developing custom SharePoint solutions based on business requirements. Creating and configuring SharePoint sites, lists, libraries, workflows, and web parts. Developing custom forms and templates using InfoPath and SharePoint Designer. Providing technical support for SharePoint users. Developing and implementing SharePoint security and access controls. Monitoring SharePoint performance and troubleshooting issues. Collaborating with other developers and stakeholders to ensure solutions meet business needs. Excellent knowledge of understanding organization structures and business operations and accordingly designing a SharePoint implementation Experience on SharePoint Online Experience with Document Management Portals as well as Intranet. Ensure security by design to uphold building automated testing into the build and release pipelines. Creation of re-usable design patterns, and guard rails for citizen developers Identify, analyse, and develop points of integration with other solutions to enable better use of data. Develop integrations using APIs to improve ETL pipeline mechanism. Work closely with the business and users to gather requirements, provide status updates, and build relationships. Skills : - SharePoint SME, Exchange Online, O365, Exchange Server, Onedrive, On premise, teams, SharePoint solutions, business requirements, SharePoint sites, lists, libraries, workflows, web parts, custom forms, templates, InfoPath, SharePoint Designer, technical support, SharePoint security, access controls, performance monitoring, troubleshooting, developer collaboration, organizational structures, business operations, SharePoint Online, document management portals, intranet, security by design, automated testing, build and release pipelines, reusable design patterns, guard rails, citizen developers, data integration, API development, ETL pipeline, business requirements gathering, status updates, stakeholder relationships. Mandatory Key Skills infopath,web parts,onedrive,exchange server,sharepoint support,exchange online,technical support,troubleshooting,onpremise,sharepoint development,sharepoint*,organization structure*,business operations*,sharepoint administration*,sharepoint designer*

About the Role We are seeking a highly motivated and skilled SharePoint & Power Platform Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and implementing innovative solutions within the SharePoint and Power Platform ecosystem to enhance business processes and improve productivity. Additional Responsibilities: Design, develop, and deploy custom SharePoint solutions, including: Communication Sites Team Sites Intranets Web Parts Develop and deploy custom Power Apps, Power Automate flows, and Power BI dashboards to automate business processes and improve data insights Participate in the migration of SharePoint environments using tools like ShareGate (or similar) Collaborate with cross-functional teams, including business analysts, project managers, and IT professionals Provide technical support and guidance to end-users Stay up-to-date on the latest advancements in SharePoint and Power Platform technologies Required Skills: 4+ years of hands-on experience in SharePoint development (On-premises and Online) 2+ years of experience with Power Platform (Power Apps, Power Automate, Power BI) Good understanding of SharePoint Designer and SharePoint Framework (SPFx) development using React, Angular, or other JavaScript frameworks Experience with SharePoint migration tools (e.g., ShareGate) Good to have experience with cloud platforms

Experience 2 to 5 years Location - Hybrid (preferably Bangalore) , Pune , Noida Must-Have skills: Expertise in Python, must have worked on (not limited to) python modules such as requests, parmiko, pyvmomi, subprocess, os Capable of independently designing , developing and maintaining the tools, framework, scripts using Python. Must have hands on on Container technology - Kubernetes Basic VMware Skills Strong analytical, troubleshooting, and communication skills. Must have handon experince in Linux, Shell script, basic networking and Infrstructure management tools Datacenter knowledge, Understand the installed hardware technology Required Conpetency Requirement gathering , Requirement analysis, Design, Develop and Maintain the tools, framework, scripts using Python and shell scripts Analyze, understand, debug, look at logs,troubleshoot and fix issues Ability to apply knowledge, skills, and experience and work & address issues Ability to understand the end-to-end solution and understanding of customer use cases Ability to work and collaborate with cross functional teams to understand/gather the requirements, troubleshoot issues and resolve them on priority

The company Plan A Technologies is seeking an experienced Platform Engineering Manager to lead the DevOps, infrastructure, and internal tools teams. As the Platform Engineering Manager, you will play a crucial role in defining and scaling the platform architecture that underpins high-performance and high-availability systems across cloud and on-premise deployments. Your responsibilities will include setting the strategy for CI/CD pipelines, observability, automation, security, and infrastructure reliability. This challenging yet rewarding position offers ample opportunities for career growth and development, making it an ideal fit for individuals who excel in dynamic environments, possess a deep understanding of modern DevOps practices, and are passionate about constructing platforms that enhance developer productivity and product stability. To be considered for this role, candidates are required to have a minimum of 7+ years of experience in platform/DevOps/SRE roles, with at least 2 years of experience in either a technical or people leadership role. **Responsibilities:** - Lead and cultivate the platform engineering team, consisting of DevOps engineers, site reliability engineers, and infrastructure developers located in different regions. - Define and enhance CI/CD pipelines, artifact management, and environment provisioning strategies for both cloud-based and casino-deployed systems. - Take ownership of improving our cloud/on-premise infrastructure footprint, particularly focusing on hybrid architectures such as AWS, on-site servers, and edge nodes. - Advocate for Infrastructure as Code (IaC) utilizing tools like Terraform, Ansible, or Pulumi. - Develop and enforce observability standards including monitoring, alerting, SLOs/SLIs, and oversee incident response and postmortem processes. - Collaborate closely with product engineering to ensure smooth build, test, deploy workflows and minimize lead time from code to production. - Optimize and secure infrastructure for performance, scalability, redundancy, and compliance, especially in regulated gaming environments. - Guide architectural decisions regarding deployment topologies, secrets management, data replication, and failover strategies. - Establish governance for access control, environment segregation, and secure credentials handling. - Monitor and manage infrastructure expenditure, optimizing for cost efficiency while maintaining reliability and compliance. **Experience:** - Bachelor's degree in electrical engineering, Electronics Engineering, or a related field is required; Master's degree is preferred. - 7+ years of experience in platform/DevOps/SRE roles, with at least 2 years in a technical or people leadership role. - Proficiency with CI/CD tools like GitHub Actions, Jenkins, GitLab CI, Docker, and Kubernetes. - In-depth knowledge of cloud infrastructure (AWS, GCP, Azure) and experience supporting on-premise or edge deployments. - Familiarity with configuration management and infrastructure automation tools such as Terraform, Ansible, Helm. - Experience in deploying, scaling, and monitoring high-availability systems across various environments. - Strong understanding of networking, service meshes, VPNs, and secure inter-service communication. - Demonstrated ability to collaborate effectively with developers, QA, product, and compliance teams. - Excellent written and verbal communication skills in English and adept at documenting architectures, processes, and decisions clearly. - Possess an organized and analytical working style with the ability to plan your own work effectively. - Proactive and self-driven individual with a strong initiative to accomplish great things. **Nice to have:** - Experience in supporting IoT or hybrid edge-cloud systems, particularly in regulated or mission-critical industries. - Exposure to observability stacks like Prometheus, Grafana, ELK, Datadog. - Familiarity with security and compliance frameworks relevant to gaming or financial industries such as GLI, PCI-DSS, ISO 27001. - Background in casino systems, gaming hardware/software integration, or embedded platforms. **About The Company/Benefits:** Plan A Technologies is an American software development and technology advisory firm known for providing top-tier engineering talent to clients globally. The company's software engineers are involved in various projects ranging from custom product development to major integrations and upgrades. The company fosters a hands-on approach while catering to major enterprise clients. Location: Gurugram (India). On site. Join a Team of Supportive Colleagues: You will become part of a team of engineers and project managers who collaborate and support each other in a positive work environment. Benefits: The company offers a generous vacation schedule, a brand new laptop, and other perks. If you believe you are a suitable candidate for this position, we would be delighted to receive your application.,

Job Description: We are looking for a highly experienced Cloud & Microsoft 365 Architect with strong technical expertise across Azure, Microsoft 365, and On-Premise infrastructure , as well as solid project management experience . The ideal candidate should have 12+ years of experience and possess the ability to handle complete architecture and delivery ownership. Candidate should also be flexible to work with US clients and handle calls in US time zone whenever required. Role & responsibilities Lead architecture, design, and migration of Microsoft 365 and Azure cloud environments. Deliver hybrid infrastructure solutions integrating On-Premise and Cloud systems. Own end-to-end project delivery including scope, timelines, and team management. Coordinate and communicate effectively with US-based stakeholders and clients. Manage project risks, timelines, and provide detailed status updates. Prepare architecture documents (HLD, LLD) and conduct client workshops. Mentor and guide project teams, assign tasks, and ensure quality delivery. Preferred candidate profile 12+ years of IT experience with at least 3 to5 years in an Architect role. Strong hands-on experience in Microsoft 365, Azure IaaS/PaaS, and AD infrastructure. Proven experience in project management and stakeholder handling. Ability and willingness to work with US clients and attend calls in US time zones . Solid understanding of Active Directory, Exchange, Windows Server, and Virtualization technologies. Microsoft Certifications preferred: Azure Architect Expert, M365 Enterprise Admin, etc.

Role & responsibilities Office 365 & EMS Services- Experience with O365 implementations ideally across multiple sites and geos Migration experience from Exchange, Google to Office 365 Understand attribute management as it relates to O365 identities such as user objects, O365 Groups, Exchange shared mailboxes, License Management etc Active Directory knowledge Deployment knowledge on Exchange server O365 features deployment knowledge - Good understanding of core and secondary O365 services such as Teams, OneDrive for Business, SharePoint,Planner, To-Do etc Good Communication skills. 2. Microsoft Defender Management Scope a. Microsoft Defender for Endpoint (MDE): Endpoint Protection : Ensuring that Microsoft Defender is deployed across all endpoints (servers, desktops, laptops, etc.) for real-time threat protection. Threat Detection and Response : Configuring policies for threat detection, managing alerts, and responding to incidents. Automated Investigation and Remediation : Setting up automatic responses for detected threats, such as isolating an infected endpoint or blocking a malicious process. Vulnerability Management : Identifying and addressing security vulnerabilities on endpoints, including applying patches and updates. Device Control and Configuration : Managing security configurations, M365/EMS: Understand attribute management as it relates to O365 identities such as user objects, O365 Groups Active Directory knowledge M365 features deployment knowledge Enterprise mobility + security deployment experience Good understanding of Azure and Active Directory in a multi forest/domain infrastructure, including authentication and authorization principles. User account management and troubleshooting Good Communication skills. Preferred candidate profile O365, Exchange, On prem, Active Directory, Defender , Security , Compliance Perks and benefits

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will engage in the innovative process of architecting large language models that are capable of processing and generating natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to enhance the model's performance and accuracy. You will collaborate with cross-functional teams to ensure that the models meet the desired specifications and contribute to the advancement of natural language processing technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data scientists and engineers to refine model architecture and improve performance.- Conduct experiments to evaluate model effectiveness and iterate based on findings. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications.- Experience with natural language processing techniques and tools.- Familiarity with data preprocessing and augmentation methods.- Ability to analyze and interpret model performance metrics. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data. You will collaborate with various teams to refine model performance and contribute to innovative solutions in natural language processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in large language model architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications in natural language processing.- Experience with training and fine-tuning large language models on diverse datasets.- Familiarity with programming languages such as Python and frameworks like TensorFlow or PyTorch.- Ability to analyze and interpret model performance metrics to drive improvements. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data, ultimately contributing to advancements in natural language processing technology. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve model performance through iterative testing and feedback. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications.- Experience with natural language processing techniques and tools.- Familiarity with data preprocessing and augmentation methods.- Ability to analyze and interpret model performance metrics. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data. You will collaborate with various teams to refine model performance and contribute to innovative solutions in natural language processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the performance of language models to ensure optimal results. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications.- Experience with natural language processing techniques and tools.- Familiarity with data preprocessing and augmentation methods.- Ability to analyze and interpret model performance metrics. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

As a Domain Architect, you will play a key role in project delivery by designing Subscriber Data Management (SDM) solutions, including Home Subscriber Server (HSS), Home Location Register (HLR), Subscriber Data Layer (SDL), Equipment Identity Register (EIR), and Unified Data Management (UDM). You will work closely with customers to understand and address their needs, ensuring solutions are delivered effectively. In this role, you will also collaborate with Software Architects, the New Product Introduction (NPI) team, and the Research and Development (R&D) team to translate requirements into seamless implementations. Join us to shape impactful solutions and contribute to pioneering projects that drive innovation forward. You have: 10+ years of experience in telecom solution design, complex use case integration, and a degree in Engineering/Technology or equivalent. Experience in creating and reviewing high-level and low-level design documents. Hands-on experience in troubleshooting and integration of Ausf_UDM, Subscriber Data Layer (SDL), Home Subscriber Server/Home Location Register (HSS/HLR), and Equipment Identity Register (EIR). It would be nice if you also had: Deep knowledge of network architectures, telecom products, and global standards such as 3GPP and ETSI. Proven ability to lead complex technical programs and manage customer escalations effectively. Familiarity with Unix/Linux, OpenStack, Kubernetes, and databases such as Aerospike, MariaDB, Oracle, or SQL. Understanding of key telecom protocols (TCP/IP, Diameter, HTTP2, SIP, Sigtran, SOAP-XML, SNMP) and cloud technologies (VNF, CNF, VMware, NCS/NCOM, CBIS/CBAM). Analyze requirements and define product implementation. Work closely with customers to define use cases aligned with Statement of Work (SoW) and 3GPP standards. Design high-level (architecture, call flows) and low-level (IP, network) solutions with impact and risk assessment. Prepare Carrier Information Questionnaire (CIQ) to support planning, integration, and deployment. Develop customer solution architectures and perform end-to-end technical risk evaluations. Define test strategies, coordinate with Research and Development (R&D), and support acceptance activities. Provide automation inputs, conduct risk mitigation, and engage with customers through regular sync-ups.

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will engage in the innovative process of architecting large language models that are capable of processing and generating natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to enhance the model's performance and accuracy. You will collaborate with cross-functional teams to ensure that the models meet the required specifications and contribute to the advancement of natural language processing technologies. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with data scientists and engineers to refine model architecture and improve performance.- Conduct experiments to evaluate model effectiveness and iterate based on findings. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications.- Experience with natural language processing techniques and tools.- Familiarity with programming languages such as Python or Java.- Knowledge of data preprocessing and augmentation methods. Additional Information:- The candidate should have minimum 2 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure optimal performance and accuracy in language processing tasks. You will collaborate with various teams to refine model architectures and enhance their capabilities, contributing to innovative solutions in the field of natural language processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals in best practices and model development.- Continuously evaluate and improve model performance based on feedback and new research. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications.- Experience with natural language processing techniques and tools.- Familiarity with data preprocessing and augmentation methods.- Ability to analyze and interpret model performance metrics. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that are capable of processing and generating natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained effectively on large quantities of unlabeled text data. You will collaborate with cross-functional teams to refine model performance and contribute to innovative solutions in natural language processing. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Engage in continuous learning to stay updated with the latest advancements in language model architecture.- Collaborate with data scientists and engineers to optimize model performance and deployment. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications in natural language processing.- Experience with training and fine-tuning large-scale language models.- Familiarity with data preprocessing techniques for text data.- Ability to analyze model performance metrics and implement improvements. Additional Information:- The candidate should have minimum 3 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Senior Data Engineer Hyderabad, Telangana, India Full-time Company Description Blendis a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a to contribute to our next level of growth and expansion Job Description Were looking for a skilled Senior Data Engineer with strong experience in distributed systems, Python/Scala, and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client. This role is part of a strategic initiative to enable robust analytics, BI, and operational workflows across both on-premise and cloud environments. In this role, you’ll work closely with both Blend’s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for analytics, reporting, and business decision-making. This position is ideal for engineers with a strong data foundation who are looking to apply their skills in large-scale, modern data environments, while gaining exposure to advanced architectures and tooling. You will: Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs. Build, maintain, and optimize data pipelines and transformations using Python, SQL, and Spark . Manage large-scale data storage and processing with Iceberg, Hadoop, and HDFS . Develop and maintain dbt models to ensure clean, reliable, and well-structured data. Implement robust data ingestion processes , integrating with third-party APIs and on-premise systems. Collaborate with cross-functional teams to align on business goals and technical requirements. Contribute to documentation and continuously improve engineering and data quality processes. Qualifications 5+ years of experience in data engineering , including at least 1 year with on-premise systems . Proficiency in Python for data workflows and pipeline development. Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt . Familiarity with third-party APIs and data ingestion processes. Excellent communication skills, with the ability to work independently and engage effectively with both technical and non-technical stakeholders. Preferred Qualifications Master’s degree in Data Science or a related field. Experience with Airflow or other orchestration tools. Hands-on experience with Cursor, Copilot, or similar AI-powered developer tools . Additional Information Our Perks and Benefits: Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication. Mentoring and Development: Career development plans and mentorship programs to help shape your path. Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. Company-provided equipment. Flexible working options to help you strike the right balance.

Work Experience : 5+ years. Employment : Permanent Location : Hyderabad. Working pattern: Working from office in shifts for 24 x 7 support. Date of joining : Immediate basis. Role & responsibilities Need skillset DevOps engineer [08 numbers] Experience in handling production systems Experience in managing on prem setups and BareMetal servers. Experience in managing Kubernetes clusters (Storage Orchestrators, CNIs, Ingress and other resources) Experience in managing storage orchestrators such as Ceph, Rook Ceph, Charmed Ceph, Longhorn etc. Experience in managing and optimising resources in Kubernetes clusters. Experience in deploying and managing observability stack which includes Elastic Search, Kibana, Logstash, FluentBit, Prometheus, Grafana etc. Experience in managing software load balancers such as Nginx or HAProxy. Experience in writing shell-based automations. Experience in writing helm-based deployments. Familiarity on writing terraform scripts, ansible, ArgoCD etc. Familiarity on writing CI/CD pipelines and creating deployment automations.

10+ years of relevant experience, with at least 5 years architecting and deploying Splunk solutions, specifically Splunk ITSI. Splunk ITSI Certified Architect strongly preferred. Required Candidate profile Proven hands-on exp in deployment, configuration, & architectural design in complex IT environments involving Networks, Cloud platforms (AWS, Azure, GCP), On- premises Data Centers, & IoT ecosystems.

6+ years of IT experience, including at least 3-4 years hands-on with Splunk ITSI in complex environments. ITSI or Splunk Architect Certification is mandatory. If not then the candidate should have hands-on exp. Required Candidate profile Strong proficiency in Splunk SPL scripting, dashboard creation. Exp. integrating Splunk ITSI with tools & technologies across Network, Cloud platforms, On-premises Data Centers, and IoT systems.

Mandatory Skills GCP; API; ETL - Big Data / Data Warehousing; Big Data; Python API Engineer - Auditboard SaaS integrations (Mandatory) with on-pem and GCP.

Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Large Language Model Architect, you will be responsible for architecting large language models that can effectively process and generate natural language. Your typical day will involve designing neural network parameters and working with extensive datasets to ensure the models are trained on large quantities of unlabeled text data, ultimately contributing to advancements in natural language processing technology. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in language model architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of neural network architectures and their applications in natural language processing.- Experience with training and fine-tuning large-scale language models.- Familiarity with data preprocessing techniques for text data.- Knowledge of evaluation metrics for language models and their performance assessment. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Experience : 5 to 14years Location :Hyderabad/Bangalore/Pune/Noida Work Mode: Hybrid Interview Mode :Virtual Job Overview We are looking for experienced SAP BASIS Administrator who are skilled in SAP system administration, performance tuning, and system upgrades. The ideal candidate will have hands-on experience managing SAP landscapes, including SAP HANA, S/4HANA, and cloud-based deployments. Job description Minimum 5+ years of hands-on experience as an SAP BASIS Administrator. Strong expertise in SAP NetWeaver, SAP HANA, and S/4HANA administration. Experience in SAP system upgrades, migrations, and performance tuning. Should be have good experience in ECC to S4 Hana Conversion. Familiarity in Old Hana version to New Hana Version upgrading. Migration of On Premise system to Cloud. Knowledge of OS administration (Windows/Linux) and database management (HANA, Oracle, SQL). Familiarity with SAP security, transport management, and system monitoring. Experience working with cloud-based SAP deployments (AWS, Azure, GCP) is a plus. Strong troubleshooting skills and ability to resolve system issues efficiently. Ability to work independently and in a team-oriented, fast-paced environment.

Role summary: The Senior Technical Architect is part of a team responsible for technical leadership, governance, and infrastructure designs for EQ projects. The role ensures that technical systems and infrastructure are designed to support business requirements, technical and security standards, and technology strategy. Applicants should have detailed knowledge of IT Infrastructure, covering public cloud platforms (AWS preferred) and on premises data centre solutions. Prior experience as a Technical Architect is essential, along with strong skills in engaging stakeholders, collaborating across a range of technical and business disciplines to agree solutions, and presenting technical proposals and designs to review boards. Core Duties/Responsibilities: Maintaining engagement with the wider Equiniti environment by creating and communicating standards, governance processes, approved architecture models, systems and technologies deployed and corporate and IT strategies. Work across a range of EQ projects including data centre to AWS migration, platform upgrades, and new product implementations. Act as a key resource in the project lifecycle, driving initiation, reviewing requirements, completing the infrastructure design, and providing technical oversight for implementation teams. Support project initiation by providing cost and complexity assessments, engaging with stakeholders, and helping to define the scope of activities. Review requirements and undertake discovery activities to propose technical solutions that meet business needs while meeting technical standards for quality, supportability, and cost. Produce high quality technical designs and support the creation of build documentation providing effective technical solutions to EQ business requirements. Participate in architecture design reviews and other technical governance forums across the organisation representing the infrastructure architecture team across multiple projects. Contribute to knowledge management by adding to and supporting the maintenance of infrastructure architecture artifact repositories. Contribute to the definition and maintenance of architectural, security and technical standards, reflecting evolving technology and emerging best practice. Promote improvements to processes and standards within architecture teams, and the wider technology function. Skills, Knowledge & Experience: Skilled communicator, comfortable engaging a range of stakeholders, and capable of understanding business requirements and translating them into technical solutions. Experience creating high quality multi-tiered infrastructure designs for new and existing application services in accordance with defined standards. Experienced at providing cost estimates for on-premises and public cloud solutions. Experience across a range of data centre technologies such as server, storage, networks, virtualisation solutions. Experience of designing infrastructure solutions for public cloud platforms (AWS/Azure). Experience of working with complex network topologies and familiarity with a range of network technologies across on-premises and cloud environments. A track record of successfully achieving project deadlines, budgets, and meeting quality standards. Technical certification and knowledge of architecture and delivery frameworks a distinct advantage (AWS / Azure Solution Architect, CCNA, M365, TOGAF, Prince2, Agile). Technical Ability: In depth experience of proposing and designing technical solutions in across a wide range of technologies in an Enterprise environment. Core Microsoft technologies such as: Active Directory, Exchange, Hyper-V, M365, SharePoint, SQL, Windows Server. Public cloud platforms such as Amazon Web Services and Microsoft Azure. Deployment, configuration management and monitoring systems such as Terraform, Puppet, and New Relic. High availability and load balancing including Microsoft clustering and hardware load balancers. Physical infrastructure such as data centres, server hardware, hypervisors, SAN storage solutions, and network infrastructure. Infrastructure security platforms, tooling, and vulnerability assessment. Secure File Transfer Platforms such as Progress MoveIT. Familiarity with designing solutions to support a range of commercially available and bespoke applications.