17786 Kubernetes Jobs

What you will do: ACV’s Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML team’s solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as we’ve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of their stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable. The core responsibilities of this role are: Working with fellow machine learning engineers to build, automate, deploy, and monitor ML applications. Developing data pipelines that feed ML models. Deploy new ML models into production. Building REST APIs to serve ML models predictions. Monitoring performance of models in production. Required Qualifications: Graduate education in a computationally intensive domain or equivalent work experience. 2-4 years of prior relevant work or lab experience in ML projects/research, and 1+ years as tech lead or major contributor on cross-team projects. Advanced proficiency with Python, SQL etc. Experience with cloud services (AWS / GCP) and kubernetes, docker, CI/CD. Preferred Qualifications: Experience with MLOps-specific tooling like Vertex AI, Ray, Feast, Kubeflow, or ClearML, etc. are a plus. Experience with EDA, including data pipeline building and data visualization. Experience with building ML models. #LI-NX1

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: About Qualcomm: Qualcomm is the largest fabless design company in the world, generating over $15 billion in annual revenues from chipsets and royalties from intellectual property. Qualcomm provides hardware, software, and related services to nearly every mobile device maker and operator in the global wireless marketplace. About Team: The DSP design team is responsible for delivering high-performance DSP cores, which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for the mobile space. Our team works on tools support and infrastructure for complex Qualcomm proprietary DSP IP. Job Responsibilities: Manage the DSP design database and support the design flows and infrastructure. Build new automations to enable the design team s to be more productive. Work closely with global DSP team in resolving critical infrastructure issues ,challenges and bottlenecks in time . Develop and deploy new tool methodologies and automation to continuously improve quality and efficiency. Required Skills and Experience: 3-10 years of experience in programming, database management, tools support, and automation. Excellent interpersonal and communication skills. Strong analytical, programming, and debugging skills. Strong experience with GIT . Excellent in Python programming Good to have: Excellent scripting and automation skills in Perl, Python , Shell, and Makefile TCI. Hands-on experience with Kubernetes/Docker . Experience with JIRA or any bug tracking tool. Basic knowledge of Clearcase. Hands-on experience in web/UI development . Knowledge of databases such as SQL and MongoDB . Familiarity with DSP/Electronics (preferred). Experience with Jenkins and CI/CD automation. Experience in project/team management (for experienced candidates) Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 5+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Summary: Qualcomm is seeking a seasoned Staff Engineer, DevOps to join our central software engineering team. In this role, you will lead the design, development, and deployment of scalable cloud-native and hybrid infrastructure solutions, modernize legacy systems, and drive DevOps best practices across products. This is a hands-on architectural role ideal for someone who thrives in a fast-paced, innovation-driven environment and is passionate about building resilient, secure, and efficient platforms. Key Responsibilities: Architect and implement enterprise-grade AWS cloud solutions for Qualcomm’s software platforms. Design and implement CI/CD pipelines using Jenkins, GitHub Actions, and Terraform to enable rapid and reliable software delivery. Develop reusable Terraform modules and automation scripts to support scalable infrastructure provisioning. Drive observability initiatives using Prometheus, Grafana, Fluentd, OpenTelemetry, and Splunk to ensure system reliability and performance. Collaborate with software development teams to embed DevOps practices into the SDLC and ensure seamless deployment and operations. Provide mentorship and technical leadership to junior engineers and cross-functional teams. Manage hybrid environments, including on-prem infrastructure and Kubernetes workloads supporting both Linux and Windows. Lead incident response, root cause analysis, and continuous improvement of SLIs for mission-critical systems. Drive toil reduction and automation using scripting or programming languages such as PowerShell, Bash, Python, or Go. Independently drive and implement DevOps/cloud initiatives in collaboration with key stakeholders. Understand software development designs and compilation/deployment flows for .NET, Angular, and Java-based applications to align infrastructure and CI/CD strategies with application architecture. Required Qualifications: 10+ years of experience in IT or software development, with at least 5 years in cloud architecture and DevOps roles. Strong foundational knowledge of infrastructure components such as networking, servers, operating systems, DNS, Active Directory, and LDAP. Deep expertise in AWS services including EKS, RDS, MSK, CloudFront, S3, and OpenSearch. Hands-on experience with Kubernetes, Docker, containerd, and microservices orchestration. Proficiency in Infrastructure as Code using Terraform and configuration management tools like Ansible and Chef. Experience with observability tools and telemetry pipelines (Grafana, Prometheus, Fluentd, OpenTelemetry, Splunk). Experience with agent-based monitoring tools such as SCOM and Datadog. Solid scripting skills in Python, Bash, and PowerShell. Familiarity with enterprise-grade web services (IIS, Apache, Nginx) and load balancing solutions. Excellent communication and leadership skills with experience mentoring and collaborating across teams. Preferred Qualifications: Experience with api gateway solutions for API security and management. Knowledge on RDBMS, preferably MSSQL/Postgresql is good to have. Proficiency in SRE principles including SLIs, SLOs, SLAs, error budgets, chaos engineering, and toil reduction. Experience in core software development (e.g., Java, .NET). Exposure to Azure cloud and hybrid cloud strategies. Bachelor’s degree in Computer Science or a related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Title: Odoo Architect Position: Manager Consulting Expert Experience: 12+Years Category: Software Development/ Engineering Main location: All CGI Locations + Noida Position ID: J0525-0232 Employment Type: Full Time Job Description : Technologies Used: Odoo Platform v15+ Based Development. Experience with Odoo development and customization. Odoo User base (Logged-in users) > 1000 Users . Odoo on Kubernetes (Microservices Based Architecture) with DevOps understanding. Knowledge of Odoo modules, architecture, and APIs. Ability to integrate Odoo with other systems and data sources. Capable of creating custom modules. Scale Odoo deployments for a large number of users and transactions. Programming. Languages: Proficiency in Python is essential. Experience with other programming languages (e.g., Java, Scala) is a plus. Data Analysis and Reporting: Ability to analyse and interpret complex data sets. Experience with data visualization tools (e.g., Superset). Experience in Cassandra (4.0+) along with Query Engine like Presto. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Experience with ETL tools and processes. Data Structure & Data Modelling Knowledge of data warehousing concepts and technologies. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Experience in managing and processing large Datasets DevSecOps: Experience with containerization, Docker, and Kubernetes clusters. CI/CD with GitLab. Methodologies: Knowledge and experience of SCRUM and Agile methodologies. Operating Systems: Linux/Windows OS. Tools Used: Jira, GitLab, Confluence. Other Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Attention to detail and a commitment to data quality. Ability to work in a fast-paced, dynamic environment. Skills: English ERP System CSB Postgre SQL Python Hadoop Ecosystem (HDFS) Java

Job Area: Information Technology Group, Information Technology Group > IT Software Developer General Summary: Qualcomm OneIT team is looking for a talented senior Full-Stack Developer to join our dynamic team and contribute to our exciting projects. The ideal candidate will have strong understanding of Java, Spring Boot, Angular/React and AWS technologies as well as experience in designing, managing and deploying applications to the cloud.Key Responsibilities: Design, develop and maintain web applications using Java, Spring Boot, and Angular/React. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, maintainable, and efficient code. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Stay up-to-date with the latest industry trends and technologies. Minimum Qualifications: 3+ years of IT-relevant work experience with a Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems). OR 5+ years of IT-relevant work experience without a Bachelor’s degree. 3+ years of any combination of academic or work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.) 1+ year of any combination of academic or work experience with Data Structures, algorithms, and data stores. Candidate should have: Bachelor's degree in Computer Science, Engineering, or a related field. 5-7 years of experience with minimum 3 years as a Full-Stack developer using Java, Spring Boot and Angular/React. Strong proficiency in Java and Spring Boot. Experience with front-end frameworks such as Angular or React. Familiarity with RESTful APIs and web services. Knowledge of database systems like Oracle, MySQL, PostgreSQL, or MongoDB. Experience with AWS services such as EC2, S3, RDS, Lambda, and API Gateway. Understanding of version control systems, preferably Git. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience with any other programming language like C#, Python Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with CI/CD pipelines and DevOps practices. Experience with Agile/Scrum/SAFe methodologies. Bachelors or Master’s degree in information technology, computer science or equivalent.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: About Qualcomm: Qualcomm is the largest fabless design company in the world, generating over $15 billion in annual revenues from chipsets and royalties from intellectual property. Qualcomm provides hardware, software, and related services to nearly every mobile device maker and operator in the global wireless marketplace. About Team: The DSP design team is responsible for delivering high-performance DSP cores, which are at the heart of Qualcomm's multi-tier SoC roadmap targeted for the mobile space. Our team works on tools support and infrastructure for complex Qualcomm proprietary DSP IP. Job Responsibilities: Manage the DSP design database and support the design flows and infrastructure. Build new automations to enable the design team s to be more productive. Work closely with global DSP team in resolving critical infrastructure issues ,challenges and bottlenecks in time . Develop and deploy new tool methodologies and automation to continuously improve quality and efficiency. Required Skills and Experience: 3-10 years of experience in programming, database management, tools support, and automation. Excellent interpersonal and communication skills. Strong analytical, programming, and debugging skills. Excellent scripting and automation skills in Perl, Python , Shell, and Makefile TCI. Hands-on experience with Kubernetes/Docker . Experience with JIRA or any bug tracking tool. Strong experience with GIT . Basic knowledge of Clearcase. Hands-on experience in web/UI development . Knowledge of databases such as SQL and MongoDB . Familiarity with DSP/Electronics (preferred). Experience with Jenkins and CI/CD automation. Experience in project/team management (for experienced candidates) Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.

Design, develop, and maintain system integration solutions that connect various applications and platforms using APIs, middleware, or other integration tools Collaborate with business analysts, architects, and development teams to gather requirements and implement robust integration workflows Monitor and troubleshoot integration processes, ensuring data consistency, accuracy, and performance Create technical documentation, perform testing, and resolve any integration-related issues Ensure compliance with security and data governance standards while optimizing system connectivity and scalability Stay updated with integration trends and tools to enhance system interoperability

To provide next level technical suppot for Global customer service centers and platform supervision centers by resolving low to medium complex SDX,SD-WAN,OFC,OPC & Telco Cloud problems referred to the team in an effective and timely manner keeping in view functional KPIs To identify Platform & Services capacity issues and co-ordinate with planning teams and rollout teams to ensure timely capacity upgrades To contribute to Network performance and customer satisfaction business objectives by providing high quality second level technical support on all SDX,OPC & Telco Cloud platforms and services in Orange Business Services To implement assigned high impact and complex changes on the service platform and virtualized infrastructure while demonstrating highest adherence to network change management procedures To contribute in Technical Incident Reports for major network incidents and problems Excellent knowledge of communication standards and OSI/commercial protocols Virtualization Technologies: Linux, SD- WAN, SDN,Vmware,BluePlanet Kubernetes, Rancher, CICD, Ansible & Python will be the added advantage, Professional level of knowledge and hands on troubleshooting experience on Two or more of the following technologies SDN/NFV (Software Defined Network/Network Function Virtualization) with RedHat OpenStack/ OpenShift / KVM/Linux Cloud Infrastructure and Container-as-a-Service support (IaaS/CaaS) with VMWare Sphere/EXSi, NSX-T Rancher Kubernetes/Container/Dockers Juniper Contrail Ciena BluePlanet Network Automation development with Python, RedHat Ansible, PERL, Shell TCP/IP protocols experience (MPLS, IP,IS-IS,BGP,Mp-BGP) Hardware: University degree or equivalent experience (Computer or Telecommunications or Networking) 3-5 years technical support experience in any telecom platform / environment Excellent Analytical and trouble-shooting skills Good understanding of Telecom Service providers Virtualization, Networks and ServicesDell Switch & Servers CISCO Routers, Juniper MX Routers & QFX Switches Hosted Wholesale OINIS

Requirements: Key Responsibilities: Architectural Leadership: Establish architectural excellence, ensuring B2C mobile application architectures that utilize React Native, React.js, and Python for maintainability, reusability, and scalability. Implement rigorous security frameworks for healthcare applications, ensuring compliance with OWASP Top 10. Architect Azure-native applications, leveraging extensive knowledge of Azure services to enhance application security and performance. Develop robust data architecture supporting both transactional and analytical needs using SQL and NoSQL databases. Strong understanding of Cloud Services spanning across network, security, Kubernetes, databases, and AI services. Must have implemented micro-services architecture Must have worked on multi-tenant architecture Performance Optimization: Apply advanced optimization techniques throughout the application stack, enhancing user experience across diverse network conditions with techniques like client-side rendering. Optimize applications for various devices and environments, meeting stringent accessibility standards. Must have worked on applications supporting at least 10,000 concurrent users Technical Guidance & Mentorship: Lead and mentor front-end developers, promoting high standards in code quality and architectural practices. Conduct code reviews and lead technical discussions to translate client needs into actionable development objectives. Must have configured rules on tools like Sonarqube to ensure code quality standards. Provide hands-on coding assistance and problem-solving support to teams as needed. Implement and manage continuous monitoring and automation of cloud infrastructure to optimize performance and cost. Data Integration: Ensure seamless integration between front-end components and back-end services, maintaining secure and consistent data flow (RESTful APIs, GraphQL). Must have: Proven experience as a full stack developer or application architect. Must have worked on Javascript (ReactJs, Typescript, etc) and Python Demonstrated experience in mobile app development for both Android and iOS platforms. Extensive experience with Microsoft Azure, including Azure Active Directory and Azure DevOps. Strong focus on usage of management tools such as Jira. Excellent at documenting architecture diagrams and logging decisions to align large tech teams. Ability to present and defend the architecture to prospective clients. Must have designed and implemented multi-tenant solutions with SSO integrations Strong leadership skills with the ability to mentor teams, coupled with excellent interpersonal and presentation capabilities. Track record of enforcing best practices in creating scalable, responsive, and secure applications. Strong decision-making and problem-solving skills, with a focus on ensuring data security and privacy. Preferred Qualifications: Prior experience working in Utility or Telecom IT Projects Experience would be an asset. Experience with Geo server, Open Layers, working with Geospatial Data Knowledge of additional cloud services (AWS, Google Cloud) for scalable hosting. Education: Bachelors or Masters degree in Computer Science Engineering, or related field. Job Type: Full-time Experience: React: 8 years (Preferred) Total work: 10 years (Preferred) Python: 5 years (Preferred)

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What you ll do Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Manage sole project priorities, deadlines, and deliverables. Research, create, and develop software applications to extend and improve on Equifax Solutions Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What experience you need Bachelors degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Primary Location: IND-Pune-Equifax Analytics-PEC Function: Function - Tech Dev and Client Services Schedule: Full time

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What you ll do Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Manage sole project priorities, deadlines, and deliverables. Research, create, and develop software applications to extend and improve on Equifax Solutions Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What experience you need Bachelors degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Primary Location: IND-Trivandrum-Equifax Analytics-PEC Function: Function - Tech Dev and Client Services Schedule: Full time

Equifax is seeking creative, high-energy and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic software engineer who is passionate about technology. What you ll do Design, develop, and operate high scale applications across the full engineering stack Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Manage sole project priorities, deadlines, and deliverables. Research, create, and develop software applications to extend and improve on Equifax Solutions Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What experience you need Bachelors degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS, Rest API 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Primary Location: IND-Trivandrum-Equifax Analytics-PEC Function: Function - Tech Dev and Client Services Schedule: Full time

What you ll do Design, develop, and operate high scale applications across the full engineering stack. Design, develop, test, deploy, maintain, and improve software. Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset. Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality. Research, create, and develop software applications to extend and improve on Equifax Solutions. Manage sole project priorities, deadlines, and deliverables. Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity What experience you need Bachelors degree or equivalent experience 5+ years of software engineering experience 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS 5+ years experience with Cloud technology: GCP, AWS, or Azure 5+ years experience designing and developing cloud-native solutions 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others UI development (e.g. HTML, JavaScript, Angular and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Source code control management systems (e.g. SVN/Git, Github) and build tools like Maven & Gradle. Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and Github) Developing with modern JDK (v1.7+) Automated Testing: JUnit, Selenium, LoadRunner, SoapUI Cloud Certification strongly preferred Primary Location: IND-Trivandrum-Equifax Analytics-PEC Function: Function - Tech Dev and Client Services Schedule: Full time

Core Skillset: The ideal candidate should primarily be a Python SDET (Software Development Engineer in Test) with approximately4+ years of experience While Python is preferred, proficiency inGolang or a willingness to switch between languages is highly desirable Key Technical Requirements: Distributed File Systems: A fundamental understanding of how distributed file systems work and their various layers is a basic core requirement Cloud Native Architecture: Knowledge of Kubernetes (for maintaining pods and scaling on demand) and basicAWS infrastructure is crucial, as the team is transitioning services to a cloud-native architecture Location Preference: Any, though Pune/Bluru preferred

Job Title: Odoo Developer Position: System Engineer Experience: 4+Years Category: Software Development/ Engineering Main location: All CGI Locations + Noida Position ID: J0525-0375 Employment Type: Full Time Job Description : Technologies Used: Odoo Platform v15+ Based Development. Experience with Odoo development and customization. Odoo User base (Logged-in users) > 1000 Users . Odoo on Kubernetes (Microservices Based Architecture) with DevOps understanding. Knowledge of Odoo modules, architecture, and APIs. Ability to integrate Odoo with other systems and data sources. Capable of creating custom modules. Scale Odoo deployments for a large number of users and transactions. Programming. Languages: Proficiency in Python is essential. Experience with other programming languages (e.g., Java, Scala) is a plus. Data Analysis and Reporting: Ability to analyse and interpret complex data sets. Experience with data visualization tools (e.g., Superset). Experience in Cassandra (4.0+) along with Query Engine like Presto. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Experience with ETL tools and processes. Data Structure & Data Modelling Knowledge of data warehousing concepts and technologies. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Experience in managing and processing large Datasets DevSecOps: Experience with containerization, Docker, and Kubernetes clusters. CI/CD with GitLab. Methodologies: Knowledge and experience of SCRUM and Agile methodologies. Operating Systems: Linux/Windows OS. Tools Used: Jira, GitLab, Confluence. Other Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Attention to detail and a commitment to data quality. Ability to work in a fast-paced, dynamic environment. Skills: English ERP System CSB Postgre SQL Python Hadoop Ecosystem (HDFS) Java

We are hiring Senior DevOps Engineers for a 6-month contractual role with a leading MNC. The selected candidate will be working on the MNC's project but will be on third-party payroll (our company). If you're experienced in AWS, Kubernetes (EKS), Terraform, and CI/CD, and looking to work on enterprise-scale infrastructure, this is a great opportunity to contribute to high-impact projects. Job Type: Contractual (6 Months) Extendable based on performance Payroll Type:Third-Party Payroll You will be on our companys payroll and deployed at the client site (MNC) Roles and Responsibilities : Manage cloud infrastructure and Kubernetes (EKS) clusters on AWS. Perform EKS upgrades and handle pod-level troubleshooting. Build and maintain infrastructure automation using Terraform. Maintain CI/CD pipelines and automate DevOps workflows. Work with tools like Ansible, Chef, or Puppet for configuration management. Monitor systems using tools like ELK, Splunk, and application monitoring stacks. Collaborate with teams for incident response and system optimization. Desired Candidate Profile: 12+ years of DevOps experience in cloud-native environments. Hands-on experience with AWS, Kubernetes, and EKS management. Proficiency in Terraform and Infrastructure as Code (IaC). Experience with Linux environments and scripting (Shell/Python). Good knowledge of monitoring and logging tools. AWS and Kubernetes certifications preferred. Strong analytical and troubleshooting skills.

This is an Internal document. Job TitleDevOps 1 Roles and Responsibilities Work closely with the tech lead to identiy and establish devops practices in team. Engineer/own the CI/CD infrastructure and manage the CD tooling. Automate monitoring and alerting (dynamic monitoring) to ensure continuous highly available production systems. Build and update continuous Deployment automation built on Docker and Kubernetes Services. Write tools and services to manage build and test environments Help developers with multiple SCM systems and custom build tools. Train, guide the team on devops practices Skills Strong knowledge of Linux systems. Understanding and practical experience with CI/CD process implementation. Experience in building and support of highly available solutions - HAProxy, Nginx – on AWS Knowledge of scripting and programming languages (Bash, Python) preferred Experience in configuration management of medium and large environments with Ansible or equivalent. Experienced in Git, bitbucket, Gitlab. Jenkins administration or job development for Jenkins DB experienceOracle, MongoDB Good troubleshooting and performance tuning skills. Strong experience in Kubernetes, Strong experience in dockers, docker compose Good understanding on helm

Job Description : We are on the lookout for a hands-on DevOps / SRE expert who thrives in a dynamic, cloud-native environment! Join a high-impact project where your infrastructure and reliability skills will shine. Key Responsibilities : - Design & implement resilient deployment strategies (Blue-Green, Canary, GitOps) - Manage observability tools : logs, metrics, traces, and alerts - Tune backend services & GKE workloads (Node.js, Django, Go, Java) - Build & manage Terraform infra (VPC, CloudSQL, Pub/Sub, Secrets) - Lead incident responses & perform root cause analyses - Standardize secrets, tagging & infra consistency across environments - Enhance CI/CD pipelines & collaborate on better rollout strategies Must-Have Skills : - 5-10 years in DevOps / SRE / Infra roles - Kubernetes (GKE preferred) - IaC with Terraform & Helm - CI/CD : GitHub Actions + GitOps (ArgoCD / Flux) - Cloud architecture expertise (IAM, VPC, Secrets) - Strong scripting/coding & backend debugging skills (Node.js, Django, etc.) - Incident management with tools like Datadog & PagerDuty - Excellent communicator & documenter Tech Stack : - GKE, Kubernetes, Terraform, Helm - GitHub Actions, ArgoCD / Flux - Datadog, PagerDuty - CloudSQL, Cloudflare, IAM, Secrets You're : - A proactive team player & strong individual contributor - Confident yet humble - Curious, driven & always learning - Not afraid to solve deep infrastructure challenges

Job Description : We are on the lookout for a hands-on DevOps / SRE expert who thrives in a dynamic, cloud-native environment! Join a high-impact project where your infrastructure and reliability skills will shine. Key Responsibilities : - Design & implement resilient deployment strategies (Blue-Green, Canary, GitOps) - Manage observability tools : logs, metrics, traces, and alerts - Tune backend services & GKE workloads (Node.js, Django, Go, Java) - Build & manage Terraform infra (VPC, CloudSQL, Pub/Sub, Secrets) - Lead incident responses & perform root cause analyses - Standardize secrets, tagging & infra consistency across environments - Enhance CI/CD pipelines & collaborate on better rollout strategies Must-Have Skills : - 5-10 years in DevOps / SRE / Infra roles - Kubernetes (GKE preferred) - IaC with Terraform & Helm - CI/CD : GitHub Actions + GitOps (ArgoCD / Flux) - Cloud architecture expertise (IAM, VPC, Secrets) - Strong scripting/coding & backend debugging skills (Node.js, Django, etc.) - Incident management with tools like Datadog & PagerDuty - Excellent communicator & documenter Tech Stack : - GKE, Kubernetes, Terraform, Helm - GitHub Actions, ArgoCD / Flux - Datadog, PagerDuty - CloudSQL, Cloudflare, IAM, Secrets You're : - A proactive team player & strong individual contributor - Confident yet humble - Curious, driven & always learning - Not afraid to solve deep infrastructure challenges

Team Member- Digital - Support Services-Digital Job Requirement & Responsibility Hands-on experience of J2EE based applications required. Experience in Spring boot will be an advantage Having Knowledge of Container based applications(Docker & Kubernetes) and microservices will be an advantage Technical knowledge of Application middleware like TIBCO & App server like WAS, Weblogic and Web servers like Apache, Nginx etc. Knowledge of any one appserver and web server is mandatory Experience in Angular 6+ Or React Native Platform is an advantage Hands on Experience in Oracle PLSQL, Knowledge of Azure devops(VSTS) Hands on experience in writing and implementing JUNIT test cases. Hands on experience with atleast one of the operating systems Linux or AIX or any other variant of UIX based systems in course of application development and maintenance Vendor Management Banking & Finance domain knowledge ore related internet facing application experience. Customer facing application experience will be preferred Educational Qualifications Computer Graduation or Engineering Experience Profile 5 to 10 years Salary range: Fixed Variable Target Companies Technology Companies - Infosys, TCS, Oracle Financial etc. Big Merchant/Aggregator or fintech companies

Team Member- Digital - Support Services-Digital Job Requirement & Responsibility Hands-on experience of J2EE based applications required. Experience in Spring boot will be an advantage Having Knowledge of Container based applications(Docker & Kubernetes) and microservices will be an advantage Technical knowledge of Application middleware like TIBCO & App server like WAS, Weblogic and Web servers like Apache, Nginx etc. Knowledge of any one appserver and web server is mandatory Experience in Angular 6+ Or React Native Platform is an advantage Hands on Experience in Oracle PLSQL, Knowledge of Azure devops(VSTS) Hands on experience in writing and implementing JUNIT test cases. Hands on experience with atleast one of the operating systems Linux or AIX or any other variant of UIX based systems in course of application development and maintenance Vendor Management Banking & Finance domain knowledge ore related internet facing application experience. Customer facing application experience will be preferred Educational Qualifications Computer Graduation or Engineering Experience Profile 5 to 10 years Salary range: Fixed Variable Target Companies Technology Companies - Infosys, TCS, Oracle Financial etc. Big Merchant/Aggregator or fintech companies

We are looking to hire a AWS Cloud Tech Lead role and seeking your support to close this position.Tech Lead will be responsible in the design, development and deployment using below skillset. Detailed JD and tracker have been attached for your reference. Sr NoSOJob Title SkillMandatory SkillExpBandCTC BudgetWork ModeLocationRequirement StatusJob TypeClosureComment 1#53917Aws Cloud Tech LeadTechnical, FullstackNode.Js, React.Js, Aws, Docker, Kubernetes, Postgres, Microservices, Auth010+yIS4Upto 35 LacHybridPuneSharedPermanentJun-25High Priority Below pointers to be taken care while sharing and uploading profiles. All candidates should be aware about ITCI on high note. We will not move any profiles ahead if candidate is not aware about ITCI. Request you to upload candidates updated resume for fast track progress. All experience should be relevant and matching as per JD. All project details in the profile is mandatory. Candidate should be holding all documents as per updated profile. Basic hygiene should be done and checked before uploading any profiles. Share only quality and relevant profiles as per details shared above. Look for profiles with immediate, 15 days, 30 days only. Mismatch profile or details will not be entertained or processed for further process. Feedback will be shared immediately, within a day from our end. Attached tracker should be followed in same format for easy track. Need accurate detail in proper font size. 1 weekly call will be scheduled for update and tracking purpose. LinkedIn profile link is mandatory to be shared. Instruction & Guidelines to be informed to the candidate while they attend all level of interviews. Candidate should keep their camera on during the online interview. Place should be well lit and light should be across face. Candidate should have their ID card ready with them. Any Government issued ID card should be fine. Candidate should be in quiet, private, well-lit place, free from possible interruptions. Candidate should ensure that they are able to share screen when required during interview. Candidate to ensure that internet connection is stable, voice is well audible and video quality is good. Candidate can use hand gestures when appropriate. Candidate to close any unnecessary web browser tabs and applications in his device. Look into the camera while speaking. Candidate is expected to dress professionally. I Role & responsibilities Preferred candidate profile