Desktop Support Engineer Responsibilities:
• Responding to client support requests.
• Guide users with simple, step-by-step instructions
• Contacting clients to find out the nature of the problem.
• Conduct remote troubleshooting.
• Troubleshooting hardware and software issues.
• Installing and maintaining hardware and computer peripherals.
• Installing and upgrading operating systems and computer software.
• Knowledge in managing and tracking the Assets
• Troubleshooting networking and connection issues.
• Advising on software or hardware upgrades.
• Providing basic training on computer operation and management.
• Record technical issues and solutions in logs in ticketing tool
• Knowledge on video conferencing devices
• Knowledge of Escalation procedures to appropriate individual based on established guidelines and procedures
• Help create technical documentation and manuals
Desktop Support Engineer Requirements:
• Bachelor’s degree in Computer Science or Information Technology.
• Proven work experience as Desktop Support Engineer or Support Technician.
• Advanced knowledge of computer hardware systems, chipsets, memory modules, peripherals, operating systems, Asset Management, software applications, and remote connection systems.
• Ability to solve complex hardware and software issues.
• Ability to travel and work after hours when necessary.
• Excellent interpersonal skills.
• Good written and verbal communication skills.
Responsibilities
Desktop Support Engineer Responsibilities:
• Responding to client support requests.
• Guide users with simple, step-by-step instructions
• Contacting clients to find out the nature of the problem.
• Conduct remote troubleshooting.
• Troubleshooting hardware and software issues.
• Installing and maintaining hardware and computer peripherals.
• Installing and upgrading operating systems and computer software.
• Knowledge in managing and tracking the Assets
• Troubleshooting networking and connection issues.
• Advising on software or hardware upgrades.
• Providing basic training on computer operation and management.
• Record technical issues and solutions in logs in ticketing tool
• Knowledge on video conferencing devices
• Knowledge of Escalation procedures to appropriate individual based on established guidelines and procedures
• Help create technical documentation and manuals
Desktop Support Engineer Requirements:
• Bachelor’s degree in Computer Science or Information Technology.
• Proven work experience as Desktop Support Engineer or Support Technician.
• Advanced knowledge of computer hardware systems, chipsets, memory modules, peripherals, operating systems, Asset Management, software applications, and remote connection systems.
• Ability to solve complex hardware and software issues.
• Ability to travel and work after hours when necessary.
• Excellent interpersonal skills.
• Good written and verbal communication skills.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Title: DevOps Engineer
Work Mode : Hybrid
Location: Bangalore, India
Job Description:
We are seeking a highly skilled and experienced DevOps Engineer to join our dynamic team in Bangalore. As a DevOps Engineer, you will be responsible for building and managing scalable and secure infrastructure, as well as enabling continuous integration and continuous delivery (CI/CD) processes to enhance our software development and deployment life cycle. The ideal candidate will have hands-on expertise with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure.
Key Responsibilities:
Design, implement, and manage Docker containers and Kubernetes orchestration for microservices-based applications.
Implement and manage CI/CD pipelines to automate testing, building, and deployment processes for scalable and reliable software delivery.
Collaborate with development, QA, and operations teams to ensure smooth deployments and optimize software development processes.
Manage cloud environments (AWS or Azure) and work with infrastructure-as-code tools such as Terraform or CloudFormation to automate cloud resource provisioning.
Build and manage infrastructure using best practices to ensure high availability, security, and scalability.
Troubleshoot and resolve complex infrastructure issues related to application performance, system availability, and network connectivity.
Monitor system performance, analyze logs, and proactively resolve potential issues to ensure uptime.
Ensure compliance with security standards and best practices, including data protection, access management, and vulnerability management.
Implement disaster recovery strategies and ensure effective backup and recovery processes.
Provide technical leadership and mentorship to junior engineers.
Continuously improve processes, identify bottlenecks, and drive automation to enhance efficiency.
Responsibilities
Job Title: DevOps Engineer
Work Mode : Hybrid
Location: Bangalore, India
Job Description:
We are seeking a highly skilled and experienced DevOps Engineer to join our dynamic team in Bangalore. As a DevOps Engineer, you will be responsible for building and managing scalable and secure infrastructure, as well as enabling continuous integration and continuous delivery (CI/CD) processes to enhance our software development and deployment life cycle. The ideal candidate will have hands-on expertise with Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure.
Key Responsibilities:
Design, implement, and manage Docker containers and Kubernetes orchestration for microservices-based applications.
Implement and manage CI/CD pipelines to automate testing, building, and deployment processes for scalable and reliable software delivery.
Collaborate with development, QA, and operations teams to ensure smooth deployments and optimize software development processes.
Manage cloud environments (AWS or Azure) and work with infrastructure-as-code tools such as Terraform or CloudFormation to automate cloud resource provisioning.
Build and manage infrastructure using best practices to ensure high availability, security, and scalability.
Troubleshoot and resolve complex infrastructure issues related to application performance, system availability, and network connectivity.
Monitor system performance, analyze logs, and proactively resolve potential issues to ensure uptime.
Ensure compliance with security standards and best practices, including data protection, access management, and vulnerability management.
Implement disaster recovery strategies and ensure effective backup and recovery processes.
Provide technical leadership and mentorship to junior engineers.
Continuously improve processes, identify bottlenecks, and drive automation to enhance efficiency.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Design, implement, and manage AIops solutions to automate and optimize AI/ML workflows.
· Collaborate with data scientists, engineers, and other stakeholders to ensure seamless integration of AI/ML models into production.
· Monitor and maintain the health and performance of AI/ML systems.
· Develop and maintain CI/CD pipelines for AI/ML models.
· Implement best practices for model versioning, testing, and deployment.
· Troubleshoot and resolve issues related to AI/ML infrastructure and workflows.
· Stay up-to-date with the latest AIops, MLOps, and Kubernetes tools and technologies.
Requirements:
· Proven experience in AIops, MLOps, or related fields.
· Strong proficiency in Python and experience with FastAPI.
· Strong handson expertise on Kubernetes (Or AKS)
· Hands-on experience with MS Azure and its AI/ML services, including Azure ML Flow.
· Proficiency in using DevContainer for development.
· Knowledge of CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
· Experience with containerization and orchestration tools like Docker and Kubernetes.
· Strong problem-solving skills and the ability to work in a fast-paced environment.
· Excellent communication and collaboration skills.
Preferred Skills:
· Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
· Familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar.
· Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
· Understanding of data versioning tools like DVC or MLflow.
· Experience with infrastructure as code (IaC) tools like Terraform or Ansible.
· Proficiency in Azure-specific tools and services, such as:
· Azure Machine Learning (Azure ML)
· Azure DevOps
· Azure Kubernetes Service (AKS)
· Azure Functions
· Azure Logic Apps
· Azure Data Factory
· Azure Monitor and Application Insights
Responsibilities
Design, implement, and manage AIops solutions to automate and optimize AI/ML workflows.
· Collaborate with data scientists, engineers, and other stakeholders to ensure seamless integration of AI/ML models into production.
· Monitor and maintain the health and performance of AI/ML systems.
· Develop and maintain CI/CD pipelines for AI/ML models.
· Implement best practices for model versioning, testing, and deployment.
· Troubleshoot and resolve issues related to AI/ML infrastructure and workflows.
· Stay up-to-date with the latest AIops, MLOps, and Kubernetes tools and technologies.
Requirements:
· Proven experience in AIops, MLOps, or related fields.
· Strong proficiency in Python and experience with FastAPI.
· Strong handson expertise on Kubernetes (Or AKS)
· Hands-on experience with MS Azure and its AI/ML services, including Azure ML Flow.
· Proficiency in using DevContainer for development.
· Knowledge of CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps.
· Experience with containerization and orchestration tools like Docker and Kubernetes.
· Strong problem-solving skills and the ability to work in a fast-paced environment.
· Excellent communication and collaboration skills.
Preferred Skills:
· Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
· Familiarity with data engineering tools like Apache Kafka, Apache Spark, or similar.
· Knowledge of monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
· Understanding of data versioning tools like DVC or MLflow.
· Experience with infrastructure as code (IaC) tools like Terraform or Ansible.
· Proficiency in Azure-specific tools and services, such as:
· Azure Machine Learning (Azure ML)
· Azure DevOps
· Azure Kubernetes Service (AKS)
· Azure Functions
· Azure Logic Apps
· Azure Data Factory
· Azure Monitor and Application Insights
Salary : Rs. 0.0 - Rs. 6,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Qualifications:
• Degree in Computer Science, Information Systems, or related field.
• 6 years of experience in Anaplan.
• Strong analytical, problem-solving, and debugging skills.
• Strong communication and collaboration skills, with the ability to work effectively with business stakeholders, technical teams, and management.
• Ability to work independently and manage multiple projects simultaneously.
Job Overview:
• Requirements Definition
o Working with business analysts and finance stakeholders (often senior) to gather and interpret financial planning requirements
o Translating requirements into clear functional and/or technical requirements and/or business or technical user stories
o Understanding data requirements and associated calculation logic, translating these requirements into model designs
o Assessing options for the implementation within the Anaplan platform, working with solution architects and other system teams to define the end-to-end solution with the aim of recommending forward-thinking, long-term solutions
• Model Building
o Supporting and enhancing existing models built during the initial implementation, delivering, and maintaining all model components (lists, modules, actions, UX pages, dashboards etc)
o Designing and building new models, including prototypes
o Developing inbound/outbound data feeds to and from the Anaplan data hub
o Developing end-user dashboards, reporting and analytical solutions
o Conceiving and developing Proof of Concept (PoC) models efficiently, where successful expanding them into detailed solution designs for implementation (associated modules, lists/line items, calculations, etc.)
o Unit testing, system and performance testing of model deliverables
o Supporting user acceptance test activities
o Assisting in data validation, migration and deployment of new models
o Providing end-user knowledge transfer, training and support
• Collaboration / Centre of Excellence (CoE)
o Be a key contributor in the creation of an Anaplan CoE with the goal of driving the adoption and maximising utilisation of the Anaplan solution by
Operating as an Anaplan SME – be a trusted point of contact for colleague support
Training, coaching and sharing knowledge with users and peers
Developing processes and standards that will be applied across the CoE, ensuring modellers comply to those processes and standards
o Collaborate with our internal teams to identify areas of opportunity for data
o Continuously identify gaps and opportunities for projects that will streamline workflows and overall processes
• High proficiency to understand and interrogate complex business data requirements, and build feeds and analytical models that will deliver the relevant insights
• Strong mathematical and analytical background with high attention to detail
• Experienced in working globally, across business and technology teams based in the US (West Coast), Japan and Europe (UK)
• Track record of working with high performing technical teams
• Breadth and depth of experience building and running complex software systems and highly scalable/available software
• Excellent written and verbal communication skills
• Confirmed ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
• Willingness to challenge when assessing problems and proposals
Primary Skills –
Your technical experience should include the following or similar tools and technologies:
Essential
• Strong in Finance planning – Consolidation, Reports, New UI, good at Application life cycle management & good to have integration knowledge.
• Anaplan Model Builder Level 3 with demonstrable experience of building complex models in Anaplan for at least 3 years
• Deep understanding of the financial planning business capabilities and processes and their implementation within a major organisation
• In depth expertise in complex data analysis (specifically relating to financial planning)
• Deep understanding of multi-dimensional data modelling and its implementation
• Experience of common BI reporting platforms such as PowerBI and Tableau
• Experience of performing technical platform critical assessments
• Data modelling techniques
• Help accelerate medium-sized initiatives for improving the platform’s front-end UX and performance
• Reviews solutions for best practice and provides recommendations on how to make models more efficient
• Work as part of a team to ensure the effective performance of Financial Planning solutions and their integration with adjacent and tertiary domains/solutions/technologies.
• Continue to learn and grow, building expertise in technical capabilities, standard processes, and methodologies (i.e., agile, continuous delivery
• Share knowledge effectively with the agile team and amongst relevant stakeholders.
• Develops sprint plans, in partnership with peer and dependent TPMs and Tech Leads
• Responsible for gathering and communicating technical outcomes to their ITC peers and validating results.
• Work with peers and technology advisors to design and deliver desired outcomes that optimize value for the enterprise through useful functionality, and efficient operations and extensibility.
• Influence and bring strategic vision to life by working with your team and technology advisors to translate the vision into sprints and delivery plans.
• Strong analytical, problem solving and troubleshooting skills with the ability to exercise objective, mature judgement.
• Results-oriented, motivated, self-starter.
• Strong desire to excel and be committed to gaining exposure to multiple technologies and business functions while further developing your career.
• Desire to work with a truly dynamic and exciting team, with a roll -up your sleevesapproach.
Responsibilities
Key Responsibilities:
Desirable
• Experienced in the implementation of financial planning tools within an organisation – SAP BPC, Oracle EBS/Hyperion, Workday Adaptive, Cognos
• Experience of working with integration technologies – in particular, Sterling Integrator
• Understanding of S/4Hana financial modules and associated data structures
• Prior to working on Anaplan platform has extensive experience of the software delivery process, with a focus on Agile techniques
Model Building • Support and enhance existing models built during the initial implementation, delivering and maintaining all model components (lists, modules, actions, UX pages, dashboards etc)
• Translate incidents or requests into technical fixes and/or solutions
• Unit testing, system and performance testing of model deliverables
• Supporting user acceptance test activities
• Assisting in data validation, migration and deployment of new models
• Providing end-user knowledge transfer, training and support
Collaboration • Work with Product Owners, business analysts and finance stakeholders (often senior) to understand financial planning issues and requests
• Operating as an Anaplan SME – be a trusted point of contact for colleague support
• Where appropriate, training, coaching and sharing knowledge with users and peers
Competencies & Experience • Anaplan MB level 2 required
• Demonstrable experience, working on deployed models
• Experience working with FP&A users / Financial forecasting
• Strong Communication skills – Role is client facing
Key words: ANAPLAN
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
