Techroots Systems Pvt. Ltd.

4 Job openings at Techroots Systems Pvt. Ltd.
React JS Developer gurugram 2 - 7 years INR 2.0 - 7.0 Lacs P.A. Work from Office Full Time

About the Role: We are inviting applications from React JS who want to be part of our future opportunities talent pool. This is not an immediate vacancy. Selected candidates will be contacted first as soon as suitable projects open up. Key Responsibilities: Develop and maintain front-end applications using React.js and related technologies. Work closely with designers and backend developers to deliver seamless user experiences. Write clean, reusable, and optimized code. Ensure applications are responsive and optimized for performance. Debug and resolve technical issues in a timely manner. Stay updated with the latest React ecosystem developments. Required Skills: Strong proficiency in React.js, JavaScript (ES6+), HTML5, CSS3. Hands-on experience with Redux / Context API, Hooks, REST APIs, and Axios/Fetch. Familiarity with Webpack, Babel, NPM/Yarn. Experience with version control systems like Git. Good understanding of responsive design and cross-browser compatibility Compensation will not be a constraint for the right candidate

Devops Engineer gurugram 2 - 7 years INR 3.0 - 8.0 Lacs P.A. Work from Office Full Time

About the Role: We are inviting applications from DevOps Engineer who want to be part of our future opportunities talent pool. This is not an immediate vacancy. Selected candidates will be contacted first as soon as suitable projects open up. Key Responsibilities: Manage and automate CI/CD pipelines for application deployments. Monitor, troubleshoot, and optimize infrastructure and application performance. Work with Docker and Kubernetes for containerization and orchestration. Implement Infrastructure as Code (IaC) using tools like Terraform/Ansible. Manage cloud environments (AWS, Azure, or GCP). Ensure security, scalability, and reliability of systems. Required Skills: Strong hands-on experience with CI/CD tools (Jenkins, GitLab CI, etc.). Knowledge of Docker, Kubernetes, Terraform/Ansible. Experience with cloud platforms (AWS / Azure / GCP). Good scripting skills in Bash, Python, or Shell scripting. Familiarity with monitoring tools (Prometheus, Grafana, ELK stack). Strong understanding of networking and system administration. Compensation will not be a constraint for the right candidate.

.NET Software Developer gurugram 2 - 6 years INR 2.0 - 7.0 Lacs P.A. Work from Office Full Time

About the Role We are seeking a skilled .NET Developer with strong experience in ASP.NET Core / .NET 8 to join our engineering team in Gurgaon. The ideal candidate will have hands-on expertise in building scalable web applications, APIs, and services with modern development practices. Key Responsibilities Develop, test, and maintain applications using ASP.NET Core /.NET 8 . Build secure and scalable RESTful APIs and microservices. Work with Entity Framework Core and relational databases(SQL Server/PostgreSQL). Collaborate with product, QA, and DevOps teams to deliver high-quality solutions. Write unit and integration tests to ensure code reliability. Implement CI/CD pipelines and work with containerized environments (Docker). Optimize application performance and troubleshoot issues. Participate in design/code reviews and follow Agile development practices Required Skills Strong skills in C#, SQL Server, and PostgeSQL . Good understanding of REST APIs, Background Workers and Services . Experience with Docker and CI/CD tools (Azure DevOps, GitHub Actions, Jenkins). Familiarity with at least one cloud platform ( Azure/AWS ). Strong problem-solving, debugging, and analytical skills

Research Scientist- Sensor Fusion & GNSS-Degraded Navigation gurugram 0 - 5 years INR 18.0 - 30.0 Lacs P.A. Work from Office Full Time

About the Role: This is one of our client requirements We are building a novel perception and localization system that can understand motion and spatial context even when GNSS signals are weak or unavailable. As a Research Scientist (Sensor Fusion & Inertial Navigation), you will lead algorithmic research at the intersection of physics-based modeling, estimation theory, and data-driven learning. Your work will focus on developing accurate, drift-resilient motion inference using inertial, magnetic, barometric, and environmental sensors all within the constraints of consumer-grade hardware. Youll collaborate closely with the AI/ML and systems teams to bridge the gap between classical navigation theory and modern machine learning. Research Focus Areas: Inertial navigation and dead-reckoning under GNSS-degraded or denied conditions. Sensor fusion combining IMU, magnetometer, barometer, Wi-Fi/BLE, and GNSS. Drift modeling, bias correction, and error propagation analysis in MEMS sensors. Design of robust estimators Kalman, Extended/Unscented Kalman, Particle, Complementary, or hybrid physics + ML filters. Development of synthetic and real-world datasets for model benchmarking. Hybrid methods: integrating deep learning with physics-based state estimation. Contribution to patents and academic publications in localization, navigation, and perception. Key Responsibilities: Lead research in sensor fusion algorithms for smartphone-grade or embedded sensors. Formulate mathematical models for bias, drift, and sensor error propagation. Prototype and validate new algorithms using Python, MATLAB, or C++. • Design experiments for indoor and semi-outdoor GNSS-degraded testing. Collaborate with ML engineers to integrate fusion outputs into backend inference pipelines. Write technical documentation, research notes, and white papers. Mentor engineers and guide graduate interns in research methodology. Experience: Demonstrated work in sensor fusion, navigation, SLAM, or state estimation. Solid understanding of inertial navigation mathematics and Kalman filtering frameworks. Experience handling multi-sensor time-series (IMU, magnetometer, barometer). Strong proficiency in Python / MATLAB / C++ for algorithmic research. • Proven track record of publications, patents, or open-source contributions in related fields. Preferred / Bonus Skills: Exposure to Deep Inertial Odometry, IONet, or RoNIN-type architectures. Familiarity with Allan variance, sensor calibration, and temperature-drift analysis. Knowledge of ROS, simulation environments, or motion-capture systems. Interest in combining model-based and data-driven methods for perception. Ability to design and interpret controlled experiments with consumer sensors