We are looking for a skilled Senior Software Engineer to join our team and play a crucial role in developing and maintaining a robust cellular connectivity platform. This role requires a strong background in Java, Microservices, and cloud technologies to optimize applications for scalability and high performance. What You Will Do: Utilize problem-solving skills to implement creative solutions for complex cellular connectivity platform infrastructure issues. Participate in the full development cycle of complex infrastructure projects, including technical design, implementation, monitoring, and maintenance. Collaborate with a cross-functional Agile team to produce design documents, implement product features, develop and execute testing methodologies, and deploy applications into production. Design, develop, and deliver web and microservice APIs-based applications. Optimize applications for scalability and performance. Who We re Looking For: A self-starter with the ability to make independent decisions. Strong hands-on experience with Java 8 or 11, Kafka, Spring Boot, Spring Framework, REST services, JPA, and SQL. 7+ years of software development experience in the relevant field and technology stack. Must-Have Skills: Strong proficiency in Java, J2EE, Spring, Spring Boot, and Hibernate. Expertise in RESTful APIs. Experience with Data Modeling, SQL, and No-SQL databases. Hands-on experience with AWS, RDS, Docker, Kubernetes, Kafka, and CI/CD pipelines. Experience with distributed caching (Redis), Elasticsearch, and multithreading. Deep understanding of Microservices Architecture and implementation. Strong verbal and written communication skills. Familiarity with source control tools (GitLab, GitHub, BitBucket), Jira, Agile methodologies, and CI/CD processes. Good to Have: Experience with Scala, OpenAPI specification, Completable Future, and Dropwizard. Knowledge of React/Angular or similar JavaScript frameworks. Qualification: Any Degree Experience 7+ Years
We are seeking experienced Python Developer to drive the development of high-performance Data Processing applications. The ideal candidate will have deep expertise in Python and Django Framework, along with a sound understanding of Airflow Process Orchestration. This role requires hands-on technical leadership, ensuring best coding practices, Agile methodologies, and efficient software delivery. Key Responsibilities: Develop and enhance Data Processing applications using PHP and Django Framework. Design and optimize high-performance Airflow Process Orchestration. Ensure code quality, security, and performance optimization. Collaborate with cross-functional teams to define, design, and deploy new features. Maintain Agile workflows, including JIRA board tracking. Participate in code reviews, troubleshooting, and debugging. Stay updated with emerging Python libraries, tools, and best practices. Effectively communicate with stakeholders and project teams. Required Skills & Qualifications: Extensive development experience in Python. 2+ years of experience in Django Framework. Strong in Object Oriented Programming concepts. Experience with PostgreSQL/MySQL. Strong expertise in dB connectors package integration with diverse data stores such as PostgreSQL, MySQL, Redis, CSV, BigQuery etc. Hands-on in Anomaly Detection using Pandas and NumPy. Hands-on in Airflow Process Orchestration. Hands-on in Celery Beat schedulers. Experience with streaming, caching (Redis, Memcached) and message brokering (ActiveMQ). Solid understanding of Data Processing and Data Analytics paradigm. Hands-on developer experience with Agile methodologies and JIRA. Familiarity with version control systems (Git/GitHub/GitLab). Strong problem-solving skills and excellent communication abilities. Nice to Have: Experience in scalable Python based Data Processing architecture/design. Knowledge of CI/CD pipelines, Docker, and cloud deployment. Exposure to Microservice Architecture. Exposure to DevOps practices and Server Management. Qualification: Any Degree Experience 8 + Years
We are seeking an experienced Python Architect to drive the development of high-performance Data Processing applications. The ideal candidate will be a hands-on technical leader with previous experience as either a Technical Lead or Technical Architect, bringing deep expertise in Python, AI/ML, and Airflow Process Orchestration. This role combines technical leadership with hands-on development, ensuring best coding practices, Agile methodologies, and efficient software delivery to create scalable data solutions. Key Responsibilities Develop and enhance Data Processing applications using Python and Django Framework Design and optimize high-performance Airflow Process Orchestration Build, train, test, and optimize ML models using industry best practices Establish and enforce code quality standards, security protocols, and performance optimization Lead and collaborate with cross-functional teams to define, design, and deploy new features Maintain and improve Agile workflows, including JIRA board tracking Coordinate and participate in code reviews, troubleshooting, and debugging activities Research and implement emerging Python libraries, tools, and best practices Provide technical guidance and mentorship to development teams Communicate effectively with stakeholders and project teams on technical matters Architect scalable solutions that align with business requirements and technical constraints Required Skills & Qualifications Previous experience as a Technical Lead or Technical Architect Proven experience in designing scalable Python-based Data Processing & Analytics architectures Expertise in Microservice and Event-driven architectures Extensive development experience in Python with strong problem-solving capabilities Minimum 2+ years of experience with Django Framework Advanced knowledge of Object-Oriented Programming concepts Hands-on experience with PostgreSQL/MySQL database systems Demonstrated experience integrating dB connectors package with diverse data stores (PostgreSQL, MySQL, Redis, CSV, BigQuery, etc.) Practical experience with Airflow Process Orchestration Proficiency in data science libraries including Scikit-learn, Pandas, and NumPy Experience implementing and managing Celery Beat schedulers Knowledge of streaming technologies, caching solutions (Redis, Memcached), and message brokering systems (ActiveM Demonstrated experience with Agile methodologies and JIRA Proficiency with version control systems (Git/GitHub/GitLab) Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders Nice to Have Knowledge of Jenkins CI/CD pipelines, Docker, and Cloud deployment strategies Exposure to DevOps practices and Server Management Experience with data visualization tools and techniques Background in performance optimization for large-scale data systems Experience mentoring junior developers Qualification Any Degree Experience 12 + Years
The CV + Edge AI Engineer develops AI solutions for visual understanding, document parsing, and multimodal processing. This role enables new use cases beyond text by integrating image, OCR, and edge-deployable AI capabilities. Key Duties/ Responsibilities Develop OCR and image processing pipelines using OpenCV, Tesseract, or AWS Textract. Train and fine-tune visual models (e.g., YOLOv8, SAM, CLIP) for internal PoCs. Integrate visual AI modules into end-to-end workflows used by LLMs or agents. Optimize models for edge deployments using ONNX, TensorRT, or TFLite. Collaborate with backend and AI teams for data structure alignment. Leadership Skills: Self-driven in visual AI exploration. Effective in prototyping and cross-functional collaboration. Ability to demonstrate impact through PoCs. Required Technical Skills: OpenCV, YOLOv8, SAM, BLIP2, Tesseract. ONNX, TensorRT, AWS Panorama, Jetson Nano. Python, PyTorch/TensorFlow, edge deployment toolchains. Experience with one or more visual AI stacks such as YOLOv8, SAM, CLIP, or equivalent. Capability to structure visual outputs for downstream agent or LLM processing. Qualification: Bachelor s or Masters degree in Computer Science, AI/ML, Data Science, or related fields. Experience 4 + Years
The Innovation Evangelist is responsible for managing the innovation idea funnel, organizing internal enablement initiatives, and partnering with product/pre-sales for marketable solution alignment. This role blends technical awareness with product thinking. Key Duties/ Responsibilities Facilitate the innovation intake process and guide promising ideas through evaluation. Host internal sessions like hackathons, demos, and capability showcases. Translate technical outcomes into business-aligned documentation and presentations. Maintain innovation knowledge base, templates, and contribution guides. Partner with Pre-Sales and Product teams for solution readiness and packaging. Own and deliver internal demo sessions, AI showcase walkthroughs, and knowledge-sharing initiatives. Author structured innovation reports, opportunity briefs, and PoC summaries for leadership. Leadership Skills: Strategic thinking with a strong sense of innovation ROI. Clear communication across technical and non-technical stakeholders. Workshop facilitation and team alignment. Excellent written and verbal communication to simplify complex ideas for varied audiences. Ability to create compelling demos, decks, and documentation that drive understanding and adoption. Required Technical Skills: Familiarity with GenAI workflows, Copilot, LangChain, and prompt design. Documentation platforms like Confluence Prototyping tools like Streamlit/Gradio/Hugging Face Spaces Working knowledge with Jira & Miro Analytics tools like Mixpanel / Google Analytics etc. Qualification: Bachelor s degree in Engineering, MBA or equivalent. 6 8 years in product strategy, consulting, or solution engineering.
The Applied AI Scientist will lead the design, tuning, and evaluation of GenAI solutions. This role focuses on creating high-quality, business-relevant AI models, including RAG pipelines, LLM integrations, and prompt optimization strategies. Key Duties/ Responsibilities Design, fine-tune, and evaluate large language model (LLM) pipelines for internal tools and customer-facing use cases. Lead prompt engineering experiments to improve output quality and reduce hallucination. Establish model evaluation frameworks using tools like Promptfoo, Trulens, LangSmith. Collaborate with Enablement and Systems Engineers to integrate AI models into reusable components. Contribute to innovation showcases and internal learning sessions. Design, develop, and evaluate traditional ML models (e.g., classification, regression, clustering) for use cases such as resume matching, anomaly detection, or recommendation systems. Perform feature engineering, preprocessing, and model training on structured datasets using tools like scikit-learn, XGBoost, or TensorFlow. Collaborate with data and engineering teams to operationalize ML models via APIs or batch workflows. Leadership Skills: Strong analytical thinking with the ability to guide AI solution design. Able to mentor engineers on GenAI concepts and best practices. Collaboration across engineering and innovation teams. Required Technical Skills: Proficiency with HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures. Experience with Python, PyTorch, OpenAI API, and model evaluation tools. Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone or equivalent vector store). Prompt evaluation using LangSmith, Promptfoo, or similar frameworks. Qualification: Bachelor s or Master s degree in Computer Science, AI/ML, or related field. Minimum 6 years of industry experience with at least 2 years hands-on with GenAI applications in a production or product-context environment. Experience 6 + Years
We are seeking an experienced SAP Functional Consultant with strong domain knowledge in the manufacturing industry. This role will primarily focus on designing, configuring, and deploying solutions in SAP Business One, while contributing to the evolution of our team s expertise towards SAP S/4HANA for larger and more advanced projects in the future. Key Responsibilities: Lead the design, configuration, and implementation of SAP Business One modules relevant to manufacturing operations, including Production, Inventory, Purchasing, Sales, and Finance. Conduct detailed requirements gathering workshops with business stakeholders and translate business processes into effective ERP solutions. Develop functional specifications for necessary customizations and work closely with technical teams and partners. Configure and test SAP B1 modules according to best practices and approved functional designs. Provide practical expertise on manufacturing industry standards such as BOMs, production orders, MRP, inventory management, and basic costing. Support master data setup, data migration, user acceptance testing (UAT), and end-user training. Provide post-implementation support and continuous improvement recommendations. Collaborate with cross-functional teams to ensure smooth project delivery and alignment with overall business objectives. Must have a solid understanding of SAP Business One core functional areas including Purchasing, Inventory, Production, Sales, and Financials with the ability to design and support processes aligned with traditional SAP domains such as MM, FICO, PP, and SD Assist in defining processes that will lay the foundation for future adoption of SAP S/4HANA. Required Skills & Experience: 6 to 9 years of strong SAP consulting experience, with at least 3 years focused on SAP Business One or equivalent ERP for manufacturing. In-depth understanding of discrete manufacturing processes, including procurement, production planning, inventory control, and quality assurance. Solid understanding of production processes, inventory flows, BOMs, routings, and work centers Strong problem-solving and root-cause analysis skills for SAP-related issues. Proficient in documenting business requirements and translating them into SAP functional solutions. Relevant SAP certifications (B1 or S/4HANA) will be an advantage Preferred Qualifications: SAP certification in relevant modules is a plus. Background in discrete manufacturing industries such as automotive, industrial equipment, or electronics. Familiarity with integration of SAP with MES or plant automation systems. Exposure to Agile or hybrid project delivery methodologies. Soft Skills: Excellent communication and stakeholder management. Analytical thinker with attention to detail. Strong ownership mindset and ability to work independently or in teams. Ability to deliver under tight deadlines and shifting priorities. Experience 10+ Years
We are looking for a Senior Full-stack developer to guide a team and contribute to the development of enterprise applications using Node.js. This role requires a combination of strong technical expertise and leadership skills to drive projects successfully while mentoring team members. Key Responsibilities: Take initiatives to improve scalable, high-performance applications demonstrating deep technical expertise. Contribute to the design, development, and deployment of solutions utilizing modern frameworks. Conduct code reviews to ensure best practices are followed and maintain high-quality standards. Collaborate with junior developers and assist in resolving technical challenges related to architecture, performance, and security. Work closely with stakeholders to ensure project timelines and deliverables are met effectively. Implement observability practices, including monitoring, logging, and tracing, to ensure system health and performance. Understand and ensure appropriate deployment and scaling of applications both in cloud and on-prem environments using Kubernetes. Expertise in implementing comprehensive testing strategies (unit, integration, and load testing) and automating deployment processes with CI/CD pipelines. Contribute to the successful delivery of systems that effectively address business needs. Work closely with non-technical stakeholders to ensure solutions are aligned with broader company objectives. Demonstrate exceptional efficiency in solving complex problems and delivering high-quality solutions on time. Leadership Skills: Proven ability to mentor and guide junior team members. Strong problem-solving and attention to detail skills. Excellent communication and collaboration skills within teams and across departments. Proactive in identifying risks, offering solutions, and suggesting improvements to processes. Required Technical Skills: Expert proficiency in Node.js and JavaScript/TypeScript (4+ years). Expertise in modern Node.js frameworks (Express.js). Basic proficiency with Angular for frontend development. Solid experience with relational databases, specifically MSSQL/PostgreSQL. Proficiency in Git version control. Strong understanding of OOP and common design patterns. Experience in REST API design, documentation (e.g., OpenAPI, Swagger). Knowledge of observability tools and best practices (e.g., Prometheus, Grafana, ELK stack) for monitoring, logging, and distributed tracing. Experience with Kubernetes for container orchestration, with knowledge of managing on-prem systems as well as cloud-based deployments. Knowledge of agile development practices and experience with CI/CD pipelines. Familiarity with microservices architecture. Understanding of caching strategies, messaging systems, and performance optimization. Working knowledge on AWS / GCP is a plus Experience working in both on-prem and cloud environments, with a solid understanding of managing infrastructure and services across hybrid cloud architecture is a plus Qualification: Any Degree Experience 6 - 8 Years
We are seeking a Senior Python Backend Developer with extensive experience in FastAPI, databases, and microservices architecture. The ideal candidate will have at least 4 years of backend development experience, demonstrate strong leadership capabilities, and be comfortable collaborating directly with clients to gather requirements and drive the development process. Experience with cloud platforms (AWS, GCP, or Azure) is highly desirable. Key Responsibilities: Design, develop, and maintain robust and scalable backend services using Python and FastAPI. Architect and implement microservices-based solutions, ensuring high availability and performance. Collaborate with front-end developers, DevOps engineers, and QA teams to deliver end-to-end solutions. Design and optimize database schemas, queries, and performance tuning (SQL and NoSQL). Lead a team of developers, mentor junior team members, and oversee code quality through code reviews. Gather and analyze technical and business requirements directly from clients and stakeholders. Contribute to architectural decisions and technology strategy. Ensure adherence to best practices in software development, security, and deployment. Monitor system health, troubleshoot issues, and drive continuous improvement. Required Skills and Qualifications: Minimum 4 years of professional experience in backend development using Python. Strong experience with FastAPI or similar modern Python frameworks (e.g., Flask, Django REST Framework). Deep understanding of RESTful APIs, asynchronous programming, and API versioning. Solid knowledge of relational (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB, Redis). Expertise in designing and building microservices architectures. Familiarity with Docker, CI/CD pipelines, and version control systems (e.g., Git). Strong problem-solving skills and the ability to troubleshoot production issues. Excellent communication skills both verbal and written. Proven ability to lead teams, manage tasks, and deliver projects on time. Insurance domain knowledge is preferred Preferred Qualifications: Experience with cloud services such as AWS, GCP, or Azure. Knowledge of event-driven architectures, message brokers (e.g., RabbitMQ, Kafka). Exposure to infrastructure as code tools (e.g., Terraform, CloudFormation). Prior experience working in Agile/Scrum environments. Experience: 4- 7 Years
The LLM Applications Engineer transforms AI prototypes into modular, secure, and production-ready workflows. This role focuses on orchestrating AI agents, implementing observability, and building toolkits that accelerate internal and external adoption. Key Duties/ Responsibilities Develop agent orchestration using frameworks like LangChain, CrewAI, AutoGen. Build reusable APIs, SDKs, and configuration layers for internal consumption. Implement prompt safety measures and fallback handling using Rebuff, Guardrails AI. Ensure agent workflows are observable and CI/CD friendly. Collaborate with platform and backend engineers for deployment enablement. Leadership Skills: Ownership of agent toolkit delivery. Cross-functional collaboration with platform and AI scientists. Documentation and internal adoption support. Required Technical Skills: Node.js, Python, Docker, REST APIs. LangChain, Rebuff, LCEL, Guardrails, LangSmith. CI/CD tooling, OpenTelemetry, workflow orchestration (Airflow, Prefect). Experience implementing agent safety using Rebuff, Guardrails, or similar tools. Familiarity with one or more orchestration frameworks: LangChain, CrewAI, AutoGen (or equivalents). Qualification: Bachelor s degree in Engineering or related field. 5+ years in backend/devops roles, with 2+ years in AI workflow orchestration.
Job Summary/Overview: We are seeking a highly motivated and experienced Sales Professional with 5-10 years of proven success in technology sales, preferably within the EV domain or IoT, sectors. The ideal candidate will be instrumental in driving the adoption of our EV charger management solution platform and identifying strategic customers for new charging station deployments. Identify, prospect, and qualify new business opportunities within target segments (e.g., fleet operators, commercial properties, public charging networks, municipalities, automotive OEMs, residential developers). Develop and execute comprehensive sales strategies to secure new clients . Navigate complex sales cycles, from initial contact to contract negotiation and close, ensuring alignment with company revenue goals. Present and articulate the unique value proposition of our EV charger management platform, demonstrating how it solves customer pain points related to charging infrastructure operation, monetization, and user experience. Collaborate with pre-sales and technical teams to provide compelling product demonstrations and tailor solutions to meet specific client requirements. Stay abreast of industry trends, and competitor activities in the EV charging space. Build and maintain strong, long-lasting relationships with key decision-makers and stakeholders at prospective and existing client organizations. Act as a trusted advisor, understanding client needs and guiding them through their EV charging infrastructure journey. Manage sales pipeline effectively to ensure accurate forecasting and reporting. Prepare detailed proposals, contracts, and sales presentations. Participate in industry events, conferences, and trade shows to represent the company and generate leads. Collaborate with installation partners and hardware providers to deliver integrated charging station solutions. The candidate should own a two-wheeler and be willing to travel extensively across Kerala Qualifications: Bachelor s degree in business, Marketing, Engineering, or a related field. 5-10 years of progressive sales experience in B2B/B2C technology sales, with a strong preference for backgrounds in EV charging, energy management, IoT, SaaS, or related infrastructure solutions. Demonstrable track record of consistently meeting or exceeding sales targets. Excellent communication, presentation, and negotiation skills. Proven ability to manage complex sales cycles and build robust pipelines. Strong understanding of sales methodologies (e.g., Solution Selling, Challenger Sale). Ability to travel as required to meet clients and attend industry events. Preferred Skills : Network of contacts within relevant industries (e.g., commercial real estate, fleet management, automotive, utilities). Good understanding of the EV charging ecosystem. Experience selling software platforms is a significant plus. Self-motivated, results-driven, and capable of working independently as well as part of a team. Experience Level: 5-10 Years
We are seeking a skilled and detail-oriented Database Engineer with 5 7 years of experience managing and optimizing relational and non-relational database systems. The ideal candidate will have hands-on experience with Cloud, including strong proficiency in MS SQL Server, PostgreSQL, and MySQL. Familiarity with Cassandra or other NoSQL technologies is a strong plus. You will work closely with development, DevOps, and data teams to ensure database reliability, performance, security, and scalability in both cloud and hybrid environments. Key Responsibilities: Design, implement, and maintain scalable database solutions across Cloud SQL on GCP. Administer and optimize MS SQL Server, PostgreSQL, and MySQL databases. Ensure database performance tuning, monitoring, and troubleshooting. Develop and maintain data backup strategies and disaster recovery plans. Collaborate with software engineers and data analysts to design data models and support development activities. Implement database security best practices and manage access controls. Participate in data migration, transformation, and synchronization activities. Create and maintain documentation for data architecture, processes, and procedures. Leverage automation tools for database deployment and maintenance tasks. Skills: 5 7 years of experience as a Database Engineer, Database Administrator, or similar role. Proven expertise in Google Cloud Platform (GCP) Cloud SQL. Strong hands-on experience with MS SQL Server, PostgreSQL, and MySQL. Experience with query optimization, performance tuning, and database profiling tools. Proficient in writing complex SQL queries, stored procedures, triggers, and functions. Good understanding of data integrity, normalization, and relational modeling. Familiarity with CI/CD and automation practices related to database deployment. Good to have: Experience with Cassandra or other NoSQL databases. GCP certification (e.g., Professional Data Engineer, Cloud Database Engineer) is a plus. Knowledge of Kubernetes, Terraform, or Infrastructure-as-Code tools. Exposure to monitoring tools. Experience 5 -7 Years
We are seeking a Principal Data Engineer with over 10 years of experience. In this high-impact role, you will be responsible for defining and driving the data architecture strategy, guiding technical teams, and ensuring robust, scalable, and secure database systems that support business-critical applications. You will work autonomously and directly with stakeholders across engineering, infrastructure, and product leadership, influencing decisions related to GCP Cloud SQL, GKE, relational and non-relational databases (including Cassandra and Couchbase), while also managing complex database challenges. Key Responsibilities: Define and lead the overall data architecture strategy across cloud and hybrid environments, in alignment with business and technical goals. Collaborate directly with leadership to drive key architectural decisions. Provide deep, hands-on expertise in GCP Cloud SQL and containerized database deployment using Google Kubernetes Engine (GKE). Architect and optimize relational database solutions using PostgreSQL, MySQL, and MS SQL Server. Design and implement NoSQL data solutions including Cassandra, Couchbase, and other scalable data stores. Lead end-to-end planning and execution of complex data engineering tasks, including schema design, performance tuning, high availability, and disaster recovery. Handle and coordinate P1 incident responses, conducting root cause analysis and designing long-term mitigation plans. Guide and mentor internal database teams, fostering technical quality and architectural consistency. Automate database provisioning, scaling, and maintenance using modern DevOps and infrastructure-as-code tools. Provide architectural documentation and recommendations for scalability, security, compliance, and cost efficiency. Skills: 10+ years of experience in data engineering and architecture, including hands-on cloud and database infrastructure leadership. Proven expertise in Google Cloud Platform (GCP) especially Cloud SQL and GKE. Strong hands-on background in relational databases: PostgreSQL, MySQL, MS SQL Server Deep knowledge and implementation experience with NoSQL technologies: Cassandra, Couchbase, [optionally MongoDB, Redis, etc.] Experience in independent or consulting roles, capable of working with minimal supervision and maximum ownership. Proven ability to manage and resolve high-severity and communicate resolution paths to leadership. Strong scripting and automation skills (e.g., Python, Terraform, Bash). Familiarity with CI/CD, container orchestration, and observability practices for modern data infrastructure. Background in supporting data compliance, governance, and cost optimization in cloud environments. Why Join Us Work with a team that actually values deep security thinking not checkbox compliance. Experiment with tools, techniques, and platforms to continuously simulate, validate, and improve. Collaborate across teams that respect security as a partner, not a blocker. Build scalable security strategies in a growing, tech-driven organization. Experience 10 + Years