Job Description Design and develop software architectures for libraries tailored to meet the specific requirements of embedded systems, considering factors such as performance, memory constraints, and real-time processing. Collaborate with cross-functional teams, including software engineers, hardware engineers, and product managers, to understand system specifications and requirements for the embedded systems. Define the overall structure, components, and interfaces of the software library to ensure modularity, reusability, and maintainability. Evaluate and select appropriate programming languages, frameworks, and technologies that align with the constraints and capabilities of the embedded systems. Implement best practices for code optimization, data management, and resource utilization to enhance the overall efficiency and performance of the software library. Conduct thorough testing and validation of the software library to ensure its compatibility, reliability, and functionality across different embedded systems. Provide technical guidance and support to the development team during the implementation and integration of the software library into the embedded systems. Document the software architecture, design decisions, and technical specifications to facilitate communication and knowledge sharing within the organization. Stay updated with the latest advancements in embedded systems, software development practices, and industry standards to incorporate relevant technologies and methodologies into the software : Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field and 10-15 years of relevance experience including experience of handling a team of 5-10 peoples. Proven experience in designing and implementing software architectures for embedded systems, preferably with a focus on developing libraries or frameworks. In-depth knowledge of embedded software development, including programming languages like C, C++, and assembly language, as well as familiarity with embedded operating systems. Experience with various software development tools, version control systems, and build automation tools commonly used in the development of embedded systems. Familiarity with hardware components and interfaces commonly used in embedded systems, such as microcontrollers, sensors, and communication protocols. Strong analytical and problem-solving skills to address complex technical challenges and optimize software performance for resource-constrained environments. Excellent communication and collaboration skills to effectively work with cross-functional teams and stakeholders. Ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously in a dynamic and fast-paced Skill Programming Languages Proficiency in C and C++ : These languages are commonly used in embedded systems programming due to their low-level capabilities and efficiency. Assembly Language : Understanding assembly language is crucial for optimizing code and interfacing with hardware at a low level. Real-Time Operating Systems (RTOS) Knowledge of RTOS concepts and experience with popular RTOS platforms such as FreeRTOS, VxWorks, or Micrium. Embedded Systems Architecture Understanding of microcontroller and microprocessor architectures. Familiarity with various embedded system architectures (ARM, MIPS, AVR, etc.). Communication Protocols Expertise in communication protocols like UART, SPI, I2C, CAN, Ethernet, and USB. Experience with wireless protocols such as Bluetooth, Zigbee, and Wi-Fi. Device Drivers Ability to develop and optimize device drivers for peripherals such as sensors, actuators, and communication interfaces. Hardware Interaction Proficient in interfacing software with hardware components. Knowledge of memory mapped I/O and peripheral register access. Software Development Tools Familiarity with integrated development environments (IDEs) such as Keil, IAR, Eclipse, or MPLAB. Experience with debugging tools and techniques, such as JTAG debugging. Modelling And Simulation Experience with modelling languages and tools like UML (Unified Modelling Language) for system design. Simulation tools for testing and validating embedded systems before hardware is available. Security Knowledge Understanding of security considerations in embedded systems, including secure boot, encryption, and secure communication protocols. (ref:hirist.tech) Show more Show less

Job Description Role : Azure Data bricks Developer Overview : Data Engineer having good experience on Azure Databricks and Python Must Have : Databricks, Python, Azure Good to have : ADF Requirements Candidate must be proficient in Databricks Understands where to obtain information needed to make the appropriate decisions Demonstrates ability to break down a problem to manageable pieces and implement effective timely solutions Identifies the problem versus the symptoms Manages problems that require involvement of others to solve Reaches sound decisions quickly Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit Roles Responsibilities Provides innovative and cost effective solution using databricks Optimizes the use of all available resources Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit Learn adapt quickly to new Technologies as per the business need Develop a team of Operations Excellence building tools and capabilities that the Development teams leverage to maintain high levels of performance scalability security and availability Skills The Candidate must have 7-10 yrs of experience in databricks delta lake Hands on experience on Azure Experience on Python scripting Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses Strong experience with relational databases and data access methods especially SQL Knowledge of Azure architecture and design (ref:hirist.tech) Show more Show less

Job Description Responsibilities : Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms. Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions. Develop high-level and detailed data architecture and design documentation. Implement data management and data governance strategies, ensuring compliance with industry standards. Architect both batch and real-time data solutions, leveraging cloud native services and technologies. Design and manage data pipeline processes for historic data migration and data integration. Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables. Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies. Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively. Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques. Requirements Minimum of 5 years of experience in a Data Architect role, supporting warehouse and Cloud data platforms/environments (Azure). Extensive Experience with common Azure services such as ADLS, Synapse, Databricks, Azure SQL etc. Experience on Azure services such as ADF, Polybase, Azure Stream Analytics Proven expertise in Databricks architecture, Delta Lake, Delta sharing, Unity Catalog, Data pipelines, and Spark tuning. Strong knowledge of Power BI architecture, DAX, and dashboard optimization. In-depth experience with SQL, Python, and/or PySpark. Hands-on knowledge of data governance, lineage, and cataloging tools such as Azure Purview and Unity Catalog. Experience in implementing CI/CD pipelines for data and BI components (e.g., using DevOps or GitHub). Experience on building symantec modeling in Power BI. Strong knowledge of Power BI architecture, DAX, and dashboard optimization. Strong expertise in data exploration using SQL and a deep understanding of data relationships. Extensive knowledge and implementation experience in data management, governance, and security frameworks. Proven experience in creating high-level and detailed data architecture and design documentation. Strong aptitude for business analysis to understand domain data requirements. Proficiency in Data Modeling using any Modeling tool for Conceptual, Logical, and Physical models is preferred Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs. Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions. Familiarity with Data Fabric and Data Mesh architecture is a plus. Excellent verbal and written communication skills. (ref:hirist.tech) Show more Show less

Job Description ROLE : The ideal candidate will possess strong operational and project management skills, with a proven ability to handle multiple tasks and projects simultaneously. They will have extensive experience in product lifecycle management and process optimization. An analytical mindset with excellent problem-solving abilities is essential, as well as the capability to collaborate effectively with cross-functional teams and external stakeholders. The candidate should be proficient in product management in existing role and should have worked with sales team to help enable new revenue building activities. Responsibilities Operational Oversight : Manage and oversee day-to-day product operations for Delta Power Supplies components/products, including product lifecycle management. Cross-Functional Collaboration : Collaborate closely with teams in R&D, manufacturing, supply chain, and marketing to ensure smooth coordination and execution of product-related activities. Facilitate communication and resolve any operational issues promptly. Product Lifecycle Management : Oversee product lifecycle stages, including product introduction, ramp-up, and phase-out. Ensure smooth product transitions while minimizing operational disruptions. Documentation and Reporting : Maintain accurate, up-to-date documentation regarding product operations. Prepare detailed reports on operational performance, process improvements, and provide strategic recommendations for future actions. Customer and Stakeholder Engagement : Engage with customers and stakeholders to gather feedback, address operational concerns, and ensure customer satisfaction. Use feedback to drive continuous improvements in product operations. Must Have 15+ years of experience in power supply product management or a related field, with a proven track record of managing complex product operations and optimizing processes. Strong problem-solving and analytical skills, with the ability to interpret data and make informed decisions. Demonstrated success in managing product lifecycles and driving operational efficiency. Excellent project management, organizational, and leadership abilities, with a track record of successfully managing cross-functional teams and influencing stakeholders at all levels. Exceptional communication and guidance skills, with the ability to mentor and develop junior team members. We Value Bachelor's degree in Engineering or a related technical field. Experience working in a global organization, with the ability to navigate complex, international operations. Experience mentoring and developing junior team members. Strong attention to detail and the ability to manage multiple competing priorities. Knowledge of product development processes and best practices. Familiarity with data analytics and visualization tools for reporting and decision-making. Power Supply product management knowledge mandatory, preferably from Telecom/Industrial background. If you are a seasoned product leader with a passion for optimizing product lifecycles and driving operational excellence in the power supply industry, we encourage you to apply and join our dynamic team. (ref:hirist.tech)

Job Description Primarily looking for a Data Engineer (AWS) with expertise in processing data pipelines using Data bricks, PySpark SQL on Cloud distributions like AWS Must have : AWS Data bricks Good-to-have : PySpark, Snowflake, Talend Requirements Candidate must be experienced working in projects involving Other Ideal Qualifications Include Experiences In Primarily looking for a data engineer with expertise in processing data pipelines using Databricks Spark SQL on Hadoop distributions like AWS EMR Data bricks Cloudera etc. Should be very proficient in doing large scale data operations using Databricks and overall very comfortable using Python Familiarity with AWS compute storage and IAM concepts Experience in working with S3 Data Lake as the storage tier Any ETL background Talend AWS Glue etc. is a plus but not required Cloud Warehouse experience Snowflake etc. is a huge plus Carefully evaluates alternative risks and solutions before taking action. Optimizes the use of all available resources Develops solutions to meet business needs that reflect a clear understanding of the objectives practices and procedures of the corporation department and business unit Skills Hands on experience on Databricks Spark SQL AWS Cloud platform especially S3 EMR Databricks Cloudera etc. Experience on Shell scripting Exceptionally strong analytical and problem-solving skills Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses Strong experience with relational databases and data access methods especially SQL Excellent collaboration and cross functional leadership skills Excellent communication skills both written and verbal Ability to manage multiple initiatives and priorities in a fast-paced collaborative environment Ability to leverage data assets to respond to complex questions that require timely answers (ref:hirist.tech)

Job Description The Senior Cloud Engineer will be a key member of the local India team, acting as both a technical leader and a supervisor. Reporting to the Product Owner of the Cloud Team, this role combines deep technical expertise with team leadership to drive the achievement of KION's cloud infrastructure objectives. Key Responsibilities Design, implement, and maintain enterprise-grade cloud infrastructure tailored to business and operational requirements. Lead the local India team of cloud engineers, fostering collaboration, mentorship, and professional growth. Develop strategies for cost optimization and budget control to maximize efficiency in cloud operations. Implement security best practices and policies to protect workloads and ensure compliance with organizational standards. Monitor and troubleshoot cloud environments to ensure high availability, optimal performance, and quick issue resolution. Automate infrastructure deployments using Infrastructure as Code (IaC) for scalability and consistency. Collaborate with cross-functional teams to enhance overall system architecture and integrate innovative solutions. Adhere to and promote the principles of scaled agile methodology, participating in daily standups, retrospectives, and other agile ceremonies. Take ownership of team results, proactively supporting other team members in delivering the committed backlog. Follow and advocate for established development guidelines, tools, and processes to ensure quality and consistency. Qualifications Education : Bachelor's or master's degree in engineering (Electronics, Electrical, Computer Science) or a related field. Experience 10+ years of experience in cloud infrastructure with at least 5 years in a senior or architect role. Demonstrated experience leading teams in agile, cross-functional environments. Expertise in enterprise-grade cloud solutions, preferably on Azure. Technical Expertise Certified in Azure (Azure Solutions Architect Expert, Azure Administrator, Azure Security Engineer). Hands-on experience with AKS. Proficiency in Terraform, CI/CD pipelines (Azure DevOps), and automation tools. Deep understanding of network architecture, security, and cloud governance. Leadership & Communication Skills Proven ability to lead teams, and drive collaboration. Professional proficiency in English. Good communication skills to coordinate effectively with other teams, ensuring successful project implementation. (ref:hirist.tech)

Job Description Hands on experience in Informatica Intelligent Cloud services (IICS) Should be expertise in performance and tuning of Informatica mappings and sessions for better performance and moving the objects from development to production environment. Hands on experience in all aspects of project development life cycle in Data Warehousing. Expertise in Informatica PowerCenter (10.x/9.x/8.x), Mappings, Mapplets, Transformations, Workflow Manager, Workflow Monitor, Repository Manager, FACT Tables, Dimension Tables, Star Schema Modelling, OLTP, OLAP. Extensive experience with Data Extraction, Transformation, and Loading from disparate Data sources into a common reporting and analytical Data Model using Informatica. Should have experience to load data from heterogeneous sources like SAP, Oracle, XML and Flat files etc. Hands on Experience in code migration by Export and Import Object and Deployment Groups Experience with PL/SQL Coding, Normalized Database creation in relational databases like Oracle 12c//11g/10g Experience with UNIX Shell Scripting, PL/SQL, Oracle tuning and Indexes, function-based indexes and optimizing the SQL to improve the performances. (ref:hirist.tech)

Job Summary We are looking for a highly experienced Network Security Lead with deep expertise in routing, switching, Cisco networking equipment, firewalls, SD-WAN, and cybersecurity. This leadership role will be responsible for securing the organization's network infrastructure, ensuring high availability of data center and branch connectivity, and guiding the deployment of advanced network security on Exp in Core Routing, Switching, Cisco SDN with ISE Create & Maintain network Documentation Optimize network performance through continous improvement Troubleshoot network issues & provide timely resolutions. Lead the design, implementation, and management of secure network infrastructure including routing, switching, and firewall policies. Configure, monitor, and troubleshoot Cisco devices (routers, switches, ASA/Firepower firewalls). Manage and optimize SD-WAN solutions across branch and cloud environments. Oversee data centre network architecture, ensuring performance, scalability, and security. Develop and enforce network and cybersecurity policies, standards, and documentation. Coordinate and lead network security incident response and remediation activities. Conduct risk assessments, vulnerability scans, and implement mitigation strategies. Collaborate with cybersecurity teams to integrate threat intelligence and harden network defences. Mentor junior engineers and provide expert guidance on network and security best practices. (ref:hirist.tech)

Job Description Responsibilities : Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms. Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions. Develop high-level and detailed data architecture and design documentation. Implement data management and data governance strategies, ensuring compliance with industry standards. Architect both batch and real-time data solutions, leveraging cloud native services and technologies. Design and manage data pipeline processes for historic data migration and data integration. Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables. Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies. Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively. Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques. Requirements Minimum of 5 years of experience in a Data Architect role, supporting warehouse and Cloud data platforms/environments (Azure). Extensive Experience with common Azure services such as ADLS, Synapse, Databricks, Azure SQL etc. Experience on Azure services such as ADF, Polybase, Azure Stream Analytics Proven expertise in Databricks architecture, Delta Lake, Delta sharing, Unity Catalog, Data pipelines, and Spark tuning. Strong knowledge of Power BI architecture, DAX, and dashboard optimization. In-depth experience with SQL, Python, and/or PySpark. Hands-on knowledge of data governance, lineage, and cataloging tools such as Azure Purview and Unity Catalog. Experience in implementing CI/CD pipelines for data and BI components (e.g., using DevOps or GitHub). Experience on building symantec modeling in Power BI. Strong knowledge of Power BI architecture, DAX, and dashboard optimization. Strong expertise in data exploration using SQL and a deep understanding of data relationships. Extensive knowledge and implementation experience in data management, governance, and security frameworks. Proven experience in creating high-level and detailed data architecture and design documentation. Strong aptitude for business analysis to understand domain data requirements. Proficiency in Data Modeling using any Modeling tool for Conceptual, Logical, and Physical models is preferred Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs. Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions. Familiarity with Data Fabric and Data Mesh architecture is a plus. Excellent verbal and written communication skills. (ref:hirist.tech)

Mandatory Skill : Exp in GCP Architects role with Data Science exposure. Job Title : GCP Architect with AI Expertise About The Role We are looking for a GCP Architect with AI Expertise to lead the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). This role requires deep expertise in cloud infrastructure, AI/ML, networking, and security. You will be responsible for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. If you have a passion for cloud transformation, AI, and solving complex infrastructure challenges, this is the perfect opportunity for you. Key Responsibilities Cloud & AI Solution Architecture : Design and implement scalable, secure, and cost-effective architectures on GCP. Develop AI/ML-driven solutions using Vertex AI, BigQuery ML, TensorFlow, and AutoML. Architect end-to-end data pipelines to support AI model training, deployment, and monitoring. Build high-availability, backup, and disaster recovery solutions in GCP. Infrastructure & Security Implement identity management, IAM policies, security protocols, and network segmentation. Design and automate provisioning of networks, firewalls, ACLs, and access control policies. Ensure compliance with security and governance frameworks for cloud-based AI workloads. Manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Cloud Migration & DevOps Lead large-scale application and network migrations to GCP (Cloud Load Balancing, DNS, CDN, Interconnect, GKE, etc.). Develop Terraform-based infrastructure automation and manage Infrastructure as Code (IaC). Implement CI/CD pipelines for AI/ML workloads using GitHub, Jenkins, and Ansible. Design DevOps solutions with cloud-native tools and containerized workloads on GKE. Technical Leadership & Advisory Provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization. Lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions. Support pre-sales activities, including POCs, RFP responses, and SOW creation. Mentor and provide technical oversight to engineering teams. Serve as a trusted cloud advisor for customers, solving complex cloud infrastructure and AI challenges. Performance Optimization & Analytics Optimize cloud resource usage, cost management, and AI model performance. Conduct cloud usage analytics, security audits, and AI model monitoring. Develop strategies to improve network reliability, redundancy, and high availability. (ref:hirist.tech)

Job Description Minimum 8+ years of experience is required in Program/Project Management. Experience in SAP S/4HANA E2E Implementation Experience in Activate methodology, tools and accelerators. Build, execute, measure, and continuously optimize strategies to timely deliver the project with high customer satisfaction & quality and within budget. Provide leadership to ensure contract deliverables are met, quality compliance, overhead and other costs are minimized. Represents the program/project in Monthly Operations Reviews with senior leadership. Ensure an appropriate program or project management framework is in place, incorporating customer review process. Controlling changes following approval Demonstrated understanding and proficient use of program/project management tools. Represents the company to the customer, provides program status to customers, gathers ""voice of the customer"" information and customer assessment data to share with the team for use in solution development. Develop and leverage internal and external partnerships and networks to maximize the achievement of business goals. Develop and maintain the long-term vision for the program. Oversees and drives customer service and partnership development. Be accountable to deliver the program/project deliverables on time with utmost quality. Manage and collaborate with cross-functional teams to build and execute integrated, measurable programs. Establish credibility, professionalism, and expertise within the organization as a performer and leader. Conduct audits to ensure to meet the customer quality standards at program level. Update monthly metric tracking and reports. Any certification in Program/Project Management is required. PGMP/PMP/Prince 2/SAP Activate/Scrum Master or any other equivalent" (ref:hirist.tech)

Job Description Hands-on working knowledge around standard AWS services, such as IAM, Cloud formation, EC2, S3, Lambda, VPCs, Load balancing, networking and Monitoring Health of these services using tools/processes and cloud orchestration platform like Kubernetes. Hands-on working knowledge on deploying AWS Cloud Formation scripts, SSL Certificates- Cloud Security in AWS, specifically IAM Roles & Polices, Security Groups and Encryption keys, deploying and managing microservices using Helm Charts Knowledge of Kubernetes and Cluster Management. Hands-on is a plus. Experience in application like Kafka, hazlecast, ELK, Prometheus etc is considered to be plus. Hands-on - Strong scripting skills (e.g. Terraform, PowerShell, Python, Bash, Ruby, Perl etc.) Proven experience assessing clients workloads and technology landscape for Cloud suitability, develop business case and Cloud adoption roadmap Knowledge of best practices and market trends pertaining to Cloud and overall industry to provide thought leadership (whitepapers etc.,) and mentor team to build necessary competency. Experience to build scalable production systems (load balancers, memcached, master/slave architectures) Excellent verbal, written and presentation skills. AWS/ Azure Certifications, CKAD/CKA desirable (ref:hirist.tech)

As a GCP Architect with AI Expertise, you will play a crucial role in leading the design, implementation, and optimization of cloud and AI-driven solutions on Google Cloud Platform (GCP). Your deep expertise in cloud infrastructure, AI/ML, networking, and security will be essential for architecting scalable, secure, and highly available cloud solutions while leveraging AI to drive automation and intelligence across enterprise environments. Your responsibilities will include designing and implementing scalable, secure, and cost-effective architectures on GCP, developing AI/ML-driven solutions using tools such as Vertex AI, BigQuery ML, TensorFlow, and AutoML, and architecting end-to-end data pipelines to support AI model training, deployment, and monitoring. You will also be responsible for building high-availability, backup, and disaster recovery solutions in GCP. In terms of infrastructure and security, you will implement identity management, IAM policies, security protocols, and network segmentation, design and automate provisioning of networks, firewalls, ACLs, and access control policies, and ensure compliance with security and governance frameworks for cloud-based AI workloads. Additionally, you will manage multi-VPC networking, hybrid cloud connectivity, and firewall configurations. Your role will also involve leading large-scale application and network migrations to GCP, developing Terraform-based infrastructure automation, and managing Infrastructure as Code (IaC). You will implement CI/CD pipelines for AI/ML workloads using tools like GitHub, Jenkins, and Ansible, and design DevOps solutions with cloud-native tools and containerized workloads on GKE. As a technical leader and advisor, you will provide strategic guidance on cloud adoption, AI/ML use cases, and infrastructure modernization, lead requirements gathering, solution design, and implementation for GCP cloud-based AI solutions, and support pre-sales activities, including POCs, RFP responses, and SOW creation. You will mentor and provide technical oversight to engineering teams and serve as a trusted cloud advisor for customers, helping them solve complex cloud infrastructure and AI challenges. Furthermore, you will be responsible for optimizing cloud resource usage, cost management, and AI model performance, conducting cloud usage analytics, security audits, and AI model monitoring, and developing strategies to improve network reliability, redundancy, and high availability. If you are passionate about cloud transformation, AI, and solving complex infrastructure challenges, this role presents a perfect opportunity for you to make a meaningful impact in the field of cloud and AI technologies.,