We are seeking a highly intellectual and academic person to join our team as a Fresher Strategic role, this role demands a combination of strategic thinking and practical execution skills to implement our product successfully at client locations and bring high impactful outcomes. Key Responsibilities: Lead the successful deployment and adoption of our product at client sites, ensuring minimal disruption and maximum value. Analyse complex client requirements and business challenges to develop tailored solutions. Engage with clients to align implementation strategies with broader business goals. Collaborate with internal teams and client stakeholders to ensure timely delivery and user satisfaction. Conduct workshops, training sessions, and presentations to facilitate seamless transitions and product understanding. Identify opportunities to improve the product based on client feedback and market insights. Qualifications: Bachelor's or Masters degree in Engineering, Business or related field Recent passouts are prefered Preferred skills: Ability to think critically, adapt quickly, and manage multiple priorities. Intellectual and quick problem solving Exceptional communication and presentation skills. Self-motivated and comfortable working in a fast-paced environment. Strong interpersonal skills. Willingness to travel to client locations as needed. Salary package – 10 LPA

We are looking for a proactive & highly skilled Technical Support Engineer to provide exceptional technical support to overseas projects, working in rotational shifts to ensure 24/7 availability. This role involves troubleshooting complex issues across cloud platforms, networking, application architectures, and DevOps toolchains. The ideal candidate should be self motivated, a collaborator, agile and a continuous learner. Key Responsibilities Provide technical support and troubleshoot issues related to cloud platforms and services such as Fargate , ECS , DynamoDB , BigQuery , SNS etc. Understand the problems by consuming logs and metrics from various sources using the services such as CloudWatch , Prometheus , Grafana , Loki , Alert Managers and Splunk etc. Analyze and resolve networking challenges, including load balancers, API gateways, reverse proxies, ingress controllers, and service-to-service communications. Work on issues related to client-server communications, firewalls, and virtual machines. Collaborate with DevOps teams to manage and troubleshoot toolchains like Docker, Kubernetes, Jenkins, Ingress Controllers etc. Act as the first point of contact for technical queries and escalate issues when necessary. Liaise with development and operations teams to identify root causes and resolve incidents effectively. Document troubleshooting steps, solutions, and maintain a knowledge base for recurring issues. Collaborate with cross-functional teams to implement best practices for monitoring and incident response. Participate in shift handovers and provide timely updates on ongoing issues. Preferred Skills Technical Skills Cloud Platforms and Services Hands on knowledge working with Fargate and ECS for managing and troubleshooting containerized workloads. Proficiency with DynamoDB and BigQuery for analyzing data and take decisions based on the analysis. Hands-on knowledge of SNS for debugging message delivery issues and integration workflows. Monitoring and Logging Tools Proficiency in CloudWatch Logs , Loki , and Splunk for consuming and analyzing logs to identify and resolve issues. Hands-on knowledge with Prometheus and Grafana for analysing metrics using dashboards and monitoring system health. Knowledge of Alert Manager for configuring and managing alert escalation. Ability to interpret metrics from various sources and create actionable insights. Networking and Security Understanding of load balancers (e.g., ALB, NLB) for distributing traffic and troubleshooting connectivity issues. Knowledge in API Gateways like AWS API Gateway or NGINX for managing API traffic. Knowledge of reverse proxies and ingress controllers (e.g., NGINX Ingress , Traefik ) for managing internal/external traffic. Understanding service-to-service communications , including DNS, HTTP/HTTPS, and gRPC protocols. Hands-on knowledge with firewalls , security groups, and IAM roles for secure communications. Troubleshooting skills for VM-related issues in platforms like AWS EC2 or equivalent. DevOps Toolchains Proficiency with Docker for managing container images and runtime debugging. Understanding of Kubernetes concepts of managing deployments, ingress setups, and pod-related issues and related troubleshooting commands and mechanisms. Knowledge of CI/CD pipeline building tools such as Jenkins, GitHub Actions, ArgoCD for building, deploying, and managing automated pipelines. Understanding of Ingress controllers (e.g., NGINX, Traefik) and SSL termination for secure routing. Troubleshooting and Incident Management Strong problem-solving skills to identify root causes using logs, metrics, and system-level debugging. Ability to document detailed troubleshooting steps and solutions for recurring issues. Collaboration and Communication Ability working with cross-functional teams (DevOps, development, and operations) to resolve incidents. Skills in effective and proactive communication to escalate issues and provide updates during shift handovers. Proficiency with tools like Slack, JIRA, Confluence, or Google Workspace for collaboration and issue tracking. Salary Package- 4-6 LPA Experience Required Technical Support Engineer with 0.5 years of experience

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow , PyTorch , scikit-learn , or Keras . Hands-on exposure to self-hosted or managed LLMs , supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy , NLTK , Hugging Face Transformers , and OpenCV , contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django , Flask , or Node.js , and API development (REST or GraphQL). Front-end development experience with React , Angular , or Vue.js , with a working understanding of responsive design and state management. Development and optimization of data storage solutions , using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached . Working knowledge of microservices and serverless patterns , participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark , and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse , using tools such as Airflow , dbt , BigQuery , or Snowflake . Understanding of CI/CD , containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines , including setting up IAM roles , configuring TLS/SSL , and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices , model versioning, and deployment pipelines using MLflow , FastAPI , or AWS SageMaker . Configuration and management of cloud services such as AWS EC2 , RDS , S3 , Load Balancers , and WAF , supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Preferred Skills: Key : Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelors or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA

Job Description: Senior Python Django Developer We are seeking a highly experienced Python Django Developer to join our team. The ideal candidate will have a strong technical background in backend development with proficiency in Python Django, expertise in database setup and administration, and familiarity with frontend technologies. Additionally, the ability to lead projects, manage teams, and collaborate with clients to deliver robust, end-to-end solutions is essential. Key Responsibilities Full-Stack Application Development Build, maintain, and enhance web applications using Python and Django frameworks. Develop and implement responsive and user-friendly interfaces using HTML, CSS, Bootstrap, JavaScript, and jQuery. Design and implement scalable, maintainable backend solutions using Django ORM. Integrate applications with ERPs and various third-party APIs or services. System Architecture and Database Management Design, set up, and optimize database schemas with a focus on scalability and performance. Perform database administration, including backups, monitoring, and troubleshooting. Ensure efficient database query performance and maintenance. Create solutions to meet custom client requirements and ensure seamless implementation. Concurrency and Performance Implement efficient threading and multi-processing techniques to optimize application performance. Production Management Manage and maintain production environments, ensuring uptime, scalability, and performance. Handle deployments and resolve production issues effectively. Cloud Infrastructure Plan and execute infrastructure setup for new projects. Work with AWS services such as EC2, RDS, S3, Load Balancers and WAF for hosting and scaling applications. Client and Team Collaboration Interact directly with clients to understand their needs and deliver solutions that exceed expectations. Lead and mentor a team of developers, ensuring adherence to best practices and timely delivery of projects. Required Skills Backend Proficiency: Advanced knowledge of Django, Python, and Django ORM. Expertise in multi-threading and multi-processing concepts. Strong grasp of database setup, design, administration, optimization, and query performance tuning. Frontend Expertise: Proficiency in HTML, CSS, Bootstrap, JavaScript, and jQuery. Ability to design responsive, user-friendly interfaces integrated with backend solutions. Cloud Expertise: Hands-on experience with AWS EC2, RDS, S3, Load Balancers, and WAF. Problem Solving: Proven ability to design and implement custom solutions based on client requirements. Personal Attributes Leadership: Demonstrated skills in leading teams and managing projects end-to-end. Communication: Strong communication skills for clear client interactions and reporting. Responsibility: Commitment to maintaining production instances and meeting client expectations. Experience Minimum 2+ years of professional experience in Python Django development. Proven experience in database administration and working in production ecosystems managing large-scale deployments. Hands-on experience with frontend development using HTML, CSS, Bootstrap, JavaScript, and jQuery. If you're a full-stack developer passionate about building impactful solutions with strong backend and frontend expertise, wed love to hear from you! Qualifications Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Location : Trivandrum Employment Type : Full Time, Permanent Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure

Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management.

Reizend is seeking a Cloud/DevOps Engineer to manage the development and production infrastructure. This position requires wide and overall knowledge in Cloud Native Computing Technologies and Cloud managed Services, DevOps, Linux Administration, Patching, Virtualization, Performance Analysis, Performance Tuning, and Networking. 1. Manage the instances of the cloud infrastructure services, data centers and the multiple cloud servers of both development and production ecosystem 2. Build automation scripts for implementing CI/CD, DevOps pipelines 3. Estimate & provision the servers, services and storage based on the product/project requirement 4. Perform or delegate regular backup operations and implement appropriate processes for data protection, disaster recovery and failover procedures. 5. Maintain essential IT operations, including operating systems, security tools, applications, servers, email systems, laptops etc. 6. Maintain a dependable, scalable and a highly available IT infrastructure and networking that is always up and running 7. Implement, maintain and audit security policies 8. Monitor the health and usage of servers and data centers and respond to issues as they arise. Also, carry out routine checkups and audits ensuring processes such as backups and replications are active 9. Troubleshoot issues and provide root cause analysis (RCA) 10. Configuration and support for web hosting both Apache & NGINX.

Flutter developer with 0.5 - 2 years of experience Job Responsibilities Create multi-platform apps for iOS/Android using Flutter development framework. Contribute in all phases of the development life cycle: concept, design, build, deploy, test, release to app stores and support. Diagnose performance issues, fix bugs to increase the functionality of the application Ability to understand business requirements and translate them into technical requirements. Preferred Skills Knowledge and experience in Flutter Framework and DART programming language. Familiarity using IDEs like Android Studio, VS Code and version control tools like Git. Knowledge of Rest APIs and integration of various APIs from third parties. Having additional experience in App development with Native Android or iOS is an advantage. Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.

We are hiring a Technical sales specialist to lead the marketing initiatives for our AI products and services and drive the business growth. This strategic role requires strong leadership, the ability to set and achieve sales targets, and expertise in developing effective marketing campaigns. The ideal candidate will have an excellent communication and negotiation skills, and a results-oriented mind-set. Job Duties and Responsibilities: Develop and implement a strategic sales plan to achieve company sales targets and objectives. Lead team and achieve sales goals. Identify new opportunities and potential clients, actively prospecting and generating leads. Build and maintain strong relationships with key clients, understanding their needs and providing tailored solutions to meet their requirements. Develop, execute, and monitor marketing programs for our AI products and services across a variety of channels in line with the GTM strategy derived. Research the market, analyse trends, and provide advice on defining the organization's marketing strategy to effectively reach the target market. Collaborate with internal teams, including product and sales, to develop and monitor strategic marketing initiatives. Analyse and report on the performance and efficiency of marketing campaigns. Create marketing materials, such as sales and product collateral, while ensuring brand guidelines are met. Work with external agencies and vendors to execute marketing programs. Write, proofread, and edit creative and technical content across different mediums to support marketing initiatives. Provide expert advice on branding, positioning, communications, and other marketing issues. Give direction to marketing efforts, utilizing the most effective methods and tools. Stay updated on emerging trends and share best practices, fostering knowledge and insights.

Experience Required We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities 1. AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. 2. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. 3. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. 4. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. 5. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. 6. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) 7. Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. 8. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Technical Skills Proficient in Python, with strong knowledge of libraries like NumPy, Pandas, SciPy, and Matplotlib for data manipulation and visualization. Expertise in TensorFlow, PyTorch, Scikit-learn, and Keras for building, training, and optimizing machine learning and deep learning models. Hands-on experience with Transformer libraries like Hugging Face Transformers, OpenAI APIs, and LangChain for NLP tasks. Practical knowledge of CNN architectures (e.g., YOLO, ResNet, VGG) and Vision Transformers (ViT) for Computer Vision applications. Proficiency in developing and deploying Diffusion Models like Stable Diffusion, SDX, and other generative AI frameworks. Experience with RLHF (Reinforcement Learning with Human Feedback) and reinforcement learning algorithms for optimizing AI behaviors. Proficiency with Docker and Kubernetes for containerization and orchestration of AI workflows. Hands-on experience with MLOps tools such as MLFlow for model tracking and CI/CD integration in AI pipelines. Expertise in setting up monitoring tools like Prometheus and Grafana to track model performance, latency, throughput, and drift. Knowledge of performance optimization techniques, such as quantization, pruning, and knowledge distillation, to improve model efficiency. Experience in building data pipelines for preprocessing, cleaning, and transforming large datasets using tools like Apache Airflow, Luigi Familiarity with cloud-based storage systems (e.g., AWS S3, Google BigQuery) for efficient data handling in AI workflows. Strong understanding of cloud platforms (AWS, GCP, Azure) for deploying and scaling AI solutions. Knowledge of advanced search technologies such as Elasticsearch for indexing and querying large datasets. Familiarity with edge deployment frameworks and optimization for resource-constrained environments.

Experience Required 3-6 years Job Summary: We are looking for an experienced and highly skilled Senior Full Stack Developer with a strong command of React.js and Node.js to take a leading role in building complex, scalable, and secure web applications. Youll be expected to contribute to the architecture and development of both frontend and backend systems, mentor junior developers, and collaborate closely with product and design teams. Key Responsibilities: Lead the design, development, and deployment of full-stack applications using React.js (front-end) and Node.js (back-end). Architect robust, secure, and scalable backend systems using Express.js and modern API design principles. Experience working with microservices architecture, serverless frameworks, and distributed systems. Translate business and product requirements into high-quality technical solutions. Write high-performance, reusable, and modular code following industry best practices and coding standards. Oversee database design, manage complex queries, and optimize performance in MySQL and PostgreSQL. Familiarity with build tools like Webpack, Babel, etc., and package managers such as npm or Yarn. Develop and maintain comprehensive test coverage through unit and integration tests. Conduct code reviews, provide mentorship, and enforce clean code practices across the team. Lead troubleshooting and debugging efforts across full-stack environments. Contribute to and maintain CI/CD pipelines to ensure reliable deployment processes. Collaborate cross-functionally with Product Managers, Designers, QA, and DevOps. Ensure applications meet security, accessibility, and performance benchmarks. Advocate for and help adopt emerging technologies and AI developer tools like Cursor AI or Cline. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, or a related field. 5-6 years of hands-on experience in full-stack development with a primary focus on React.js and Node.js or Next JS. Deep understanding of JavaScript (ES6+), HTML5, CSS3, and modern front-end development practices. Strong architectural understanding of web applications, MVC patterns, and modular design. Proficient in MySQL and PostgreSQL, including schema design, indexing, joins, and query optimization. Demonstrated experience with unit testing frameworks (Jest, Mocha, etc.) and test-driven development (TDD). Proficient in version control systems like Git and workflows such as GitFlow. Strong understanding of asynchronous programming, authentication, and authorization protocols (JWT, OAuth). Proven experience in setting up and managing CI/CD pipelines and deployment automation. Preferred Skills Experience with TypeScript in both front-end and back-end environments. Exposure to containerization tools like Docker and experience deploying to cloud platforms (AWS, GCP, Firebase). Familiarity with GraphQL, WebSockets, or event-driven systems. Hands-on experience with AI-powered dev tools (e.g., Cursor AI, Cline, GitHub Copilot). Experience mentoring junior developers and leading sprint-based teams in an Agile environment. Familiarity with monitoring, alerting, and observability tools (e.g., Sentry, New Relic, Prometheus). Exposure to performance profiling and browser-based debugging. Location - Trivandrum Work from office Salary- 6- 12 LPA Job Types: Full-time, Permanent Pay: 600,000.00 - 1,200,000.00 per year Work Location: In person

We are seeking a highly intellectual and academic person to join our team as a Fresher Strategic role, this role demands a combination of strategic thinking and practical execution skills to implement our product successfully at client locations and bring high impactful outcomes. Key Responsibilities: Lead the successful deployment and adoption of our product at client sites, ensuring minimal disruption and maximum value. Analyse complex client requirements and business challenges to develop tailored solutions. Engage with clients to align implementation strategies with broader business goals. Collaborate with internal teams and client stakeholders to ensure timely delivery and user satisfaction. Conduct workshops, training sessions, and presentations to facilitate seamless transitions and product understanding. Identify opportunities to improve the product based on client feedback and market insights. Qualifications: Bachelor's or Masters degree in Engineering, Business or related field Recent passouts are prefered Preferred skills: Ability to think critically, adapt quickly, and manage multiple priorities. Intellectual and quick problem solving Exceptional communication and presentation skills. Self-motivated and comfortable working in a fast-paced environment. Strong interpersonal skills. Willingness to travel to client locations as needed. Salary package – 10 LPA