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.

Opening Summary We are looking for a talented and experienced Full-Stack Tech Lead to join our dynamic team at Technix Technology. The ideal candidate will have a strong background in React.js, Spring Boot, MySQL, and MongoDB, with a passion for developing innovative and efficient web applications. You will be responsible for building and maintaining both the front-end and back-end of our applications, ensuring seamless integration and exceptional user experience. Responsibilities Develop and maintain web applications using React.js for the front-end. Build robust back-end services with Spring Boot. Design and optimize databases using MySQL and MongoDB. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality and organization. Requirements Proficiency in React.js, Spring Boot, MySQL, and MongoDB. Strong understanding of front-end technologies, including HTML5, CSS3, and JavaScript. Experience with RESTful APIs and web services. Familiarity with version control systems like Git. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Good communication skills and the ability to collaborate effectively with team members. Notes Join Technix Technology and contribute to our mission of driving technological innovation. We provide a collaborative work environment, competitive compensation, and opportunities for professional growth. If you are passionate about technology and eager to take on new challenges, we would love to hear from you. Qualification : Bachelor's degree in Computer Science, Information Technology, or arelated 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.

Job Title: Senior Technical Project Manager Opening Summary: We are seeking a Senior Technical Project Manager to lead complex projects, particularly in AI and cloud environments, ensuring smooth execution from planning to delivery. The ideal candidate will have a strong background in Agile project management, technical expertise in cloud and DevOps, and the ability to communicate effectively with both technical and non-technical stakeholders. Responsibilities Project Planning & Execution: Develop and manage Jira project plans, sprints, and tasks, ensure project scope and goals align with project objectives. Agile Leadership: Lead Agile ceremonies including daily stand-ups, sprint planning, and retrospectives, remove blockers, and drive continuous improvement. Stakeholder Management: Collaborate with technical teams, product owners, and clients, provide clear project updates, risk assessments, and mitigation plans. Risk & Issue Management: Identify and mitigate risks early to avoid project delays, track issues in Jira, maintaining transparency across teams. Resource Coordination: Work with Engineering, QA, and DevOps teams to manage resources effectively, balance workloads to ensure timely project completion. Quality Assurance & Delivery: Ensure deliverables meet technical and business requirements, champion process improvements, and conduct post-project retrospectives. Requirements 7+ years of experience in technical project management. Bachelor s degree in Computer Science, Engineering, or related field. Proven expertise in managing multiple projects using Jira. Agile/Scrum certifications (CSM, PMI-ACP) preferred. Familiarity with cloud environments (AWS, GCP, Azure) and DevOps practices. Strong collaboration and communication skills with both executives and engineers. Preferred Qualification Experience with AI/ML projects and data governance. Knowledge of security standards like SOC 2 and GDPR in enterprise environments. Qualification : Bachelors degree in Computer Science, Engineering, or 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.