Troubleshooting Techniques Jobs in Patna

Job Description Job title: Field Service Engineer Your role: Delivery: The FSE would ensure full compliance of Service Delivery Processes and deliver services both effectively and efficiently The FSE would conduct site surveys before taking over the Life Cycle Management of an installed machine The FSE would also provide Demonstration Support for the system in the region The position of a FSE would entail Commissioning and Handing-over of the respective systems projects FSE would participate in Corrective Maintenance and would also maintain and complete the PM Schedules within the stipulated time frame The FSE would implement FCO Selling : As a FSE, Person would actively participate and support in CS Sales Promotion and achievement of overall CS Team Sales Targets FSE would coordinate the process of Spare parts Sales with the Customer Identifying opportunities for System Upgrades and promoting the same to the Customer would also fall within the job s purview The FSE would provide Competition Information about the latest developments and the prevailing market condition to enable the organization to be competitive. Service Administration The FSE would report all necessary information both technical and administration [Call Completion Call Reporting, PM, FCO, Installations] as per the norms The FSE would be responsible for proper handling of parts/ Test & Measuring Instruments to ensure return of all parts with proper documents The responsibility of collecting Customer Overdue Outstanding would lie with the FSE. Customer Satisfaction FSE would also be responsible for timely escalation of certain issues to the concerned FSE and work as a team to provide appropriate. You're the right fit if: 3+ years of exp into Cathlab machines. Experience in Service, Maintenance and installation. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Qualification : Experience in Service, Maintenance and installation.

Opening Summary We are seeking a Senior DevOps Engineer to lead the automation, security, and scalability of our cloud infrastructure. The ideal candidate will have deep expertise in Infrastructure-as-Code (Terraform), container orchestration (Docker, Kubernetes), and CI/CD pipelines (GitLab). They will be responsible for implementing secure cloud environments, managing continuous delivery pipelines, and optimizing system performance to ensure operational excellence. Responsibilities Infrastructure Automation: Build and maintain scalable cloud environments using Terraform to implement Infrastructure-as-Code (IaC) solutions. Containerization and Orchestration: Manage and optimize containerized applications using Docker and Kubernetes for efficient cloud operations. Continuous Integration and Delivery: Implement and maintain continuous delivery pipelines using GitLab CI/CD, focusing on fast and reliable deployments. Network Security: Design and maintain secure cloud network architectures, monitor networks for vulnerabilities, and implement IDS/IPS solutions to safeguard against threats. System Monitoring and Health: Utilize tools like Prometheus and Grafana to track system performance and provide actionable insights for improvements. Operational Excellence: Manage container orchestration and cloud databases, ensuring high availability, fault tolerance, and implementing disaster recovery strategies. Requirements Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in DevOps, cloud engineering, or related fields. Expertise in Terraform, Docker, Kubernetes, and GitLab CI/CD. Strong understanding of cloud architecture, network security protocols, and best practices. Familiarity with security standards such as OWASP, SOC 2, and tools like IDS/IPS and WAF. Preferred certifications: AWS Certified Solutions Architect, Google Cloud Professional Architect, CISSP, or CCSP. Excellent problem-solving and communication skills, with a proven ability to collaborate across teams. Preferred Qualification Cloud architecture certifications such as AWS Certified Solutions Architect, Google Cloud Professional Architect, or equivalent. Security certifications such as CISSP, CCSP, or CompTIA Security+. Experience with IDS/IPS, WAF, and network segmentation in cloud environments. Familiarity with OWASP security standards, SOC 2 compliance, and data governance best practices. Hands-on experience with high availability, fault-tolerant systems, and disaster recovery strategies. Knowledge of serverless technologies and container security tools. Strong troubleshooting skills for optimizing cloud, container, and network operations. Ability to lead and contribute to process improvement initiatives. Experience collaborating with cross-functional teams, including developers, QA, security, and operations teams. Notes Join us to shape the future of secure, scalable cloud solutions and drive innovation in DevOps practices! Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field.

Job Title: Back-End Developer - Spring Boot Location: Patna Skills Required: Java Programming, Spring Boot, Spring Framework, RESTful APIs, Microservices Architecture, Database Management, MySQL, CI/CD, DevOps Practices Experience Required: Minimum 3 years Educational Qualification: Bachelor s degree in Computer Science, Information Technology, or a related field. Employment Type: Full Time Workplace: Onsite Position Summary We are seeking a skilled and motivated Back-End Developer with expertise in Spring Boot to join our dynamic team. The ideal candidate will possess strong technical skills, experience in building scalable and secure back-end solutions, and a passion for developing high-quality applications. You will collaborate with front-end developers, product managers, and other stakeholders to design and implement the server-side components that power our applications. Key Responsibilities Back-End Development: Develop, test, and maintain back-end applications using Spring Boot and related technologies. API Design & Integration: Design and implement RESTful APIs for seamless integration with front-end applications and external systems. Performance, Scalability & Security: Ensure application performance, scalability, and security in alignment with industry standards. Cross-Functional Collaboration: Collaborate with cross-functional teams to understand project requirements and deliver effective solutions. Database Management: Integrate with databases by creating optimized queries and managing database schemas. Issue Troubleshooting & Resolution: Troubleshoot, debug, and resolve issues in both production and development environments. Code Quality & Best Practices: Write clear, maintainable, and efficient code following best practices and coding standards. CI/CD Implementation: Implement and maintain CI/CD pipelines to streamline deployment processes. Application Performance Monitoring: Monitor and optimize application performance to ensure low latency and high availability. Technology & Trends Updates: Stay updated with the latest trends and technologies in back-end development and the Spring ecosystem. Requirements Education & Experience: Bachelor s degree in Computer Science, Information Technology, or a related field. Proven experience (3+ years) in back-end development using Java and Spring Boot. Core Skills: Strong knowledge of RESTful APIs, microservices architecture, and API design best practices. Proficiency in relational databases like MySQL, PostgreSQL, or Oracle, and exposure to NoSQL databases like MongoDB is a plus. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with Docker, Kubernetes, and containerized applications. Solid understanding of security protocols, authentication methods, and data protection (e.g., OAuth2, JWT). Hands-on experience with version control systems like Git. Experience with CI/CD tools like Jenkins, GitLab CI, or CircleCI. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Preferred Qualifications: Knowledge of front-end technologies like React or Vue.js for better collaboration with front-end developers. Familiarity with message brokers (e.g., RabbitMQ, Kafka). Exposure to monitoring tools like Prometheus, Grafana, or New Relic. Experience in Agile development methodologies. Benefits Opportunity to work on cutting-edge technologies in a fast-paced environment. Supportive and inclusive work culture. Professional development opportunities and access to learning resources. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Opening Summary We are seeking a highly skilled and motivated Machine Learning (ML) Engineer to join our dynamic team. The ML Engineer will design, build, and deploy machine learning models and systems to solve real-world business problems. You will work closely with data scientists, product managers, and software engineers to develop scalable and efficient ML solutions, ensuring the models deliver value while maintaining performance, scalability, and interpretability. Responsibilities Design, develop, and deploy machine learning models and algorithms to address business needs. Build scalable data pipelines to support machine learning workflows. Collaborate with data scientists to transform prototypes into production-ready solutions. Optimize and fine-tune models to improve accuracy, speed, and scalability. Develop APIs to integrate ML models into production applications. Monitor and maintain deployed models, ensuring performance and accuracy over time. Implement best practices for data preprocessing, feature engineering, and model evaluation. Work on advanced ML techniques such as NLP, computer vision, and deep learning as needed. Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Ensure compliance with data governance, security, and privacy standards. Keep up-to-date with the latest advancements in AI/ML technologies and tools. Requirements Proficiency in Python or R for machine learning model development. Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras. Knowledge of cloud platforms (AWS, Azure, GCP) for deploying ML models. Experience with data processing libraries such as Pandas, NumPy, and SQL. Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. Knowledge of NLP, computer vision, or time-series analysis is a plus. Familiarity with version control systems like Git. Experience with MLOps tools such as MLflow, Kubeflow, or Sagemaker. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to explain complex technical concepts to non-technical stakeholders. Strong attention to detail and a commitment to producing high-quality work. Preferred Qualification Experience in developing and maintaining ML pipelines in production. Familiarity with DevOps practices and tools (CI/CD). Knowledge of data governance, security, and compliance in ML systems. Experience working with large-scale datasets and distributed systems (e.g., Spark, Hadoop). Qualification : Bachelor's or Masters degree in Computer Science, Data Science,Mathematics, or a related field.