Job Title: Project Manager Location: Kochi Job Type: Full-time Experience: 10+ years Job Summary: We are looking for an experienced Project Manager to lead high-impact projects from initiation to successful delivery. The ideal candidate will have a strong background in Agile and Scrum methodologies, proven expertise in managing large-scale projects, and the ability to drive results in a dynamic environment. Key Responsibilities: Lead and manage complex projects from planning to execution. Develop and implement project plans, resource allocation strategies, and risk management frameworks. Collaborate with stakeholders to ensure project deliverables align with business goals. Drive Agile and Scrum best practices, ensuring effective sprint planning and execution. Manage and motivate cross-functional teams to achieve project milestones. Track project progress, report status updates, and monitor budgets. Identify and mitigate project risks proactively. Build and maintain relationships with external partners, vendors, and stakeholders. Requirements: 10+ years of experience in project management with a focus on Agile and Scrum. Bachelor’s degree in Business Administration, Engineering, Computer Science, or a related field. Certifications in Agile and Scrum (CSM, SAFe, PMI-ACP, or equivalent). Strong expertise in Agile, Scrum, and Lean project management methodologies. Excellent leadership, communication, and stakeholder management skills. Ability to thrive in a fast-paced, collaborative environment. Strong analytical, problem-solving, and decision-making abilities.. Nice to Have: Experience with project management tools like Asana, Jira, Azure DevOps (ADO), and MS Project. Expertise in Agile frameworks such as SAFe, Kanban, or Lean. Experience with budgeting and cost management. What We Offer: Competitive salary and benefits package. Opportunity to work on high-profile projects with industry leaders. A collaborative and dynamic work environment that fosters innovation. Career growth and professional development opportunities. Recognition and rewards for outstanding performance.

Company Description At Qubryx, we are a cloud-first, future-focused technology consulting firm helping organizations accelerate their adoption of best-in-class software development and implementation. We collaborate with clients on their digital strategy, transformation, data, and cloud migration efforts. By providing cutting-edge technology, expertise, and world-class service quality, we consistently deliver best-in-class solutions with an unmatched cost advantage. Join us on our mission to empower digital futures and stay updated with our latest projects, industry insights, and thought leadership. Role Description This is a full-time hybrid role for a Cloud Architect (AWS) with 8+ years of experience, located in Kochi with some work from home acceptable. The Cloud Architect will design and develop cloud solutions, manage infrastructure, lead software development, ensure seamless integration of systems, and architect scalable and reliable cloud infrastructures. The Cloud Architect will collaborate with cross-functional teams to deliver innovative solutions that meet business needs. Qualifications Experience in Solution Architecture and Architecture Knowledge of Infrastructure management Expertise in Software Development and Integration Excellent problem-solving and analytical skills Ability to work in a hybrid work environment Strong communication and leadership skills Relevant AWS certifications are a plus Bachelor's degree in Computer Science, Information Technology, or related field Show more Show less

Job Title: Technical Project Manager Location: Remote/Hybrid Job Type: Full-time Experience: 10+ years Job Summary: We’re hiring a Technical Project Manager who codes, architects, or builds . This is not a passive coordination role. We need someone who can design solutions, write or review code when needed , lead teams hands-on, and ensure delivery is fast, clean, and scalable. If you’ve worked as a developer or solution architect and transitioned into leadership, this is your role. Key Responsibilities: Own technical delivery from start to finish — planning, architecture, sprints, execution, QA, and deployment. Translate business requirements into scalable, secure, cloud-ready technical solutions . Collaborate with engineering teams to design architecture, APIs, cloud infrastructure, and implementation strategies. Drive hands-on reviews, prototyping, PoCs, and support with writing code when needed . Act as the technical escalation point for engineering, DevOps, QA, and product teams. Implement and enforce Agile/Scrum practices that deliver real business value at speed. Create and maintain detailed project plans, technical documentation, and risk logs. Work closely with clients, stakeholders, and leadership to ensure alignment between business and tech. Minimum Requirements: 10+ years of IT experience , with 3+ years in project/delivery management . Strong technical background — prior experience as a developer, solution architect, or tech lead is essential . Must be able to review code, design systems, and understand full-stack architecture (hands-on skills are a huge plus). AWS Cloud Certification (at minimum, AWS Cloud Practitioner; ideally Associate/Professional level). Solid experience with modern stacks (Node.js, Python, Java, .NET, etc.) and frontend frameworks (React, Angular, Vue). Familiar with CI/CD pipelines, containerization (Docker, Kubernetes) , cloud infrastructure (AWS preferred), and DevOps tools. Proficiency in Agile methodologies , with hands-on use of Jira, ADO, or similar tools. Strong communication and stakeholder management abilities — capable of interfacing with both business and engineering leaders. Nice to Have: Familiarity with multi-cloud environments (Azure, GCP). Experience with microservices, serverless design , and enterprise-grade integration. Exposure to product development environments or startup culture. Budgeting and resource allocation experience. What We Offer: Work on impactful projects with engineering autonomy . Team of strong developers and PMs who value tech-first leadership. Performance-based growth with leadership opportunities. Flexible work culture with clear outcomes focus. Show more Show less

Job Title: Full Stack Developer (MERN) – 3+ Years Experience Location: Employment Type: Full-Time Job Overview: We are seeking a Full Stack Developer with at least 3 years of experience in the MERN stack (MongoDB, Express.js, React.js, Node.js) . The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications while ensuring high performance, security, and reliability. Experience with Python and AWS is a plus. Key Responsibilities: Develop, test, and deploy full-stack web applications using MERN stack . Design and implement scalable and secure backend services and RESTful APIs . Collaborate with cross-functional teams to define and deliver high-quality software solutions. Optimize application performance and troubleshoot issues as needed. Ensure best practices in coding, security, and database management . Work with cloud platforms (AWS preferred) for deployment and infrastructure management. Required Skills & Experience: 3+ years of experience in MERN stack development . Strong proficiency in Node.js, Express.js, MongoDB, and React.js . Hands-on experience with RESTful APIs, database design, and microservices architecture . Knowledge of Git, Docker, and CI/CD pipelines for efficient development workflows. Strong problem-solving and debugging skills. Nice to Have: Experience with Python for backend development. AWS Certification or experience with AWS services (Lambda, EC2, S3, etc.). Exposure to DevOps practices and infrastructure as code (Terraform, CloudFormation). Why Join Us? Work with a dynamic team on cutting-edge projects . Opportunities for career growth and continuous learning . Competitive salary and benefits. Show more Show less

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning Location: Remote (India) Job Type: Full-time Experience: 5+ Years Job Summary: We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS. You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team. Key Responsibilities: Predictive Modeling & Machine Learning Develop and deploy machine learning models for forecasting, optimization, and predictive analytics. Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment. Perform model validation, tuning, and performance monitoring. Deliver actionable insights from complex datasets to support strategic decision-making. Data Engineering & Cloud Computing Design scalable and secure ETL pipelines using AWS Glue. Manage and optimize data infrastructure in the AWS environment. Ensure high data integrity and availability across the pipeline. Integrate AWS services to support the end-to-end machine learning lifecycle. Python Programming Write efficient, reusable Python code for data processing and model development. Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch. Maintain documentation and ensure best coding practices. Collaboration & Communication Work with engineering, analytics, and business teams to understand and solve business challenges. Present complex models and insights to both technical and non-technical stakeholders. Participate in sprint planning, stand-ups, and reviews in an Agile setup. Preferred Experience (Nice to Have): Experience with applications in the utility industry (e.g., demand forecasting, asset optimization). Exposure to Generative AI technologies. Familiarity with geospatial data and GIS tools for predictive analytics. Qualifications: Master’s in Computer Science, Statistics, Mathematics, or a related field. 5+ years of relevant experience in data science, predictive modeling, and machine learning. Experience working in cloud-based data science environments (AWS preferred). Show more Show less

Job Title: Data Engineer – Geospatial Development Location: Kochi (or Remote/Hybrid based on discussion) Job Type: Full Time Experience: 3+ years in Data Engineering with hands-on Geospatial Development Job Summary: We are seeking a highly skilled Data Engineer with experience in geospatial data processing and visualization. The ideal candidate will have strong Python skills along with experience in geospatial platforms like ESRI ArcGIS, QGIS, and Google Earth. You should be comfortable developing map-based interfaces and visualizations using libraries such as GeoPandas, Leafmap, Leaflet, Mapbox, and Folium. This role will also involve developing robust data pipelines, managing spatial data storage, and supporting analytics and insights on geospatial datasets. Key Responsibilities: Design, implement, and optimize spatial and non-spatial data pipelines. Develop interactive geospatial data visualizations and dashboards using modern Python libraries and mapping tools. Work with tools like ESRI ArcGIS, QGIS, and Google Earth to process and analyze geospatial data. Integrate various data sources into geospatial data models and visualization platforms. Leverage Python (GeoPandas, Folium, Leaflet, Mapbox, Leafmap, etc.) for geospatial data transformation and analysis. Manage large spatial datasets in cloud environments (preferably Azure or AWS). Collaborate with data scientists and analysts to deliver geospatial insights. Ensure data integrity, performance, and security in all pipeline operations. Document technical solutions and develop reusable components and templates. Required Skills: 3+ years of experience in Data Engineering and geospatial development. Proficiency in Python with geospatial libraries (GeoPandas, Shapely, Leafmap, Folium, etc.). Hands-on experience with ESRI ArcGIS, QGIS, Google Earth, or similar platforms. Experience with web mapping tools and interfaces (Leaflet, Mapbox). Strong skills in SQL and working with spatial databases (PostGIS, SQL Server with spatial extensions). Solid understanding of coordinate systems, projections, and spatial analysis techniques. Cloud experience with services such as Azure Blob Storage, Azure Data Factory, AWS S3, or Google Cloud Storage. Preferred Qualifications: Familiarity with ETL workflows involving spatial data. Experience with containerization tools (Docker) and CI/CD pipelines. Exposure to Agile methodologies and collaborative team environments. Knowledge of metadata standards and geospatial data governance practices. Bachelor’s or Master’s in Computer Science, GIS, Geomatics, or a related field. Show more Show less

AWS Data Engineer Location: Remote (India) Experience: 3+ Years Employment Type: Full-Time About the Role: We are seeking a talented AWS Data Engineer with at least 3 years of hands-on experience in building and managing data pipelines using AWS services. This role involves working with large-scale data, integrating multiple data sources (including sensor/IoT data), and enabling efficient, secure, and analytics-ready solutions. Experience in the energy industry or working with time-series/sensor data is a strong plus. Key Responsibilities: Build and maintain scalable ETL/ELT data pipelines using AWS Glue, Redshift, Lambda, EMR, S3, and Athena Process and integrate structured and unstructured data, including sensor/IoT and real-time streams Optimize pipeline performance and ensure reliability and fault tolerance Collaborate with cross-functional teams including data scientists and analysts Perform data transformations using Python, Pandas, and SQL Maintain data integrity, quality, and security across the platform Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation Support and monitor pipeline workflows, troubleshoot issues, and implement fixes Contribute to the adoption of emerging tools like AWS Bedrock, Textract, Rekognition, and GenAI solutions Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field 3+ years of experience in data engineering using AWS Strong skills in: AWS Glue, Redshift, S3, Lambda, EMR, Athena Python, Pandas, SQL RDS, Postgres, SAP HANA Solid understanding of data modeling, warehousing, and pipeline orchestration Experience with version control (Git) and infrastructure as code (Terraform) Preferred Skills: Experience working with energy sector dat a or IoT/sensor-based dat aExposure to machine learnin g tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn )Familiarity with big data technologie s like Apache Spark, Kafk aExperience with data visualization tool s (Tableau, Power BI, AWS QuickSight )Awareness of data governance and catalog tool s such as AWS Data Quality, Collibra, and AWS Databre wAWS Certifications (Data Analytics, Solutions Architect ) Show more Show less

AWS Data Engineer Location: Remote (India) Experience: 3+ Years Employment Type: Full-Time About the Role: We are seeking a talented AWS Data Engineer with at least 3 years of hands-on experience in building and managing data pipelines using AWS services. This role involves working with large-scale data, integrating multiple data sources (including sensor/IoT data), and enabling efficient, secure, and analytics-ready solutions. Experience in the energy industry or working with time-series/sensor data is a strong plus. Key Responsibilities: Build and maintain scalable ETL/ELT data pipelines using AWS Glue, Redshift, Lambda, EMR, S3, and Athena Process and integrate structured and unstructured data, including sensor/IoT and real-time streams Optimize pipeline performance and ensure reliability and fault tolerance Collaborate with cross-functional teams including data scientists and analysts Perform data transformations using Python, Pandas, and SQL Maintain data integrity, quality, and security across the platform Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation Support and monitor pipeline workflows, troubleshoot issues, and implement fixes Contribute to the adoption of emerging tools like AWS Bedrock, Textract, Rekognition, and GenAI solutions Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field 3+ years of experience in data engineering using AWS Strong skills in: AWS Glue, Redshift, S3, Lambda, EMR, Athena Python, Pandas, SQL RDS, Postgres, SAP HANA Solid understanding of data modeling, warehousing, and pipeline orchestration Experience with version control (Git) and infrastructure as code (Terraform) Preferred Skills: Experience working with energy sector dat a or IoT/sensor-based data Exposure to machine learnin g tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn) Familiarity with big data technologie s like Apache Spark, Kafka Experience with data visualization tool s (Tableau, Power BI, AWS QuickSight) Awareness of data governance and catalog tool s such as AWS Data Quality, Collibra, and AWS Databrew AWS Certifications (Data Analytics, Solutions Architect Show more Show less

Job Title : Data Engineer Location : Kochi Job Type : Fulltime Experience : 3+ years Job Description We are looking for an experienced Data Engineer to join our team on a contract basis. The ideal candidate will have a strong background in data engineering with hands-on experience in Python, Pandas, and working with Azure Cloud services including Azure Fabric, Azure Data Factory, Azure SQL, and Azure Blob Storage. This role will primarily involve designing and implementing data engineering solutions, building data pipelines, and working with data lakes and some data warehousing. If you have a deep understanding of data modeling and SQL, we would love to hear from you. Key Responsibilities Design, implement, and optimize data pipelines and workflows in Azure Cloud environments. Develop and manage data lakes, ensuring efficient data storage, retrieval, and management. Work with Azure Data Factory and Azure SQL to integrate data sources and build robust, scalable systems. Perform data modeling and optimization for reporting and analytics needs. Use Python and Pandas for data transformation, cleaning, and manipulation. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data security and compliance standards are maintained across all systems. Develop and maintain SQL queries to extract, manipulate, and manage large datasets. Support troubleshooting and debugging efforts for any data-related issues in the pipeline or platform. Create detailed documentation of implemented data solutions and processes. Stay up to date with emerging technologies and tools within the data engineering field. Required Skills Data Engineering experience with a strong focus on cloud-based solutions (Azure). Proficiency in Python and Pandas for data transformation and processing. Hands-on experience with Azure Cloud services like Azure Data Factory, Azure SQL, Azure Blob Storage, and Azure Fabric. Experience working with data lakes and data warehousing solutions. Strong SQL skills for managing and querying large datasets. Data modeling experience with a focus on optimizing data for analytics and reporting. At least 3 years of overall experience in data engineering or related fields. Proven ability to design and implement scalable and efficient data architectures. Strong analytical and problem-solving skills. Preferred Skills Oil and Gas industry experience (Added advantage). Experience with Power BI or other Azure-based analytics tools. Familiarity with data pipeline orchestration and monitoring tools. Knowledge of ETL processes and data integration strategies. Experience in working in an agile environment. Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. (ref:hirist.tech) Show more Show less

Job Title : Generative AI Developer Location : Employment Type : Full-Time Job Overview We are seeking a Generative AI Developer with expertise in AI/ML, deep learning, and large language models (LLMs). The ideal candidate will design, develop, and deploy cutting-edge AI-powered applications, leveraging NLP, computer vision, and generative AI frameworks. If you are passionate about AI and want to work on transformative AI solutions, this role is for you! Key Responsibilities Design, build, and optimize Generative AI models for text, image, and multimodal applications. Work with LLMs, transformers, and diffusion models to create innovative AI-powered solutions. Implement and fine-tune models using frameworks like TensorFlow, PyTorch, and Hugging Face. Develop and integrate AI models into scalable cloud-based applications (AWS, Azure, GCP). Research and apply cutting-edge AI techniques to enhance model performance and efficiency. Collaborate with cross-functional teams to deploy AI solutions in real-world applications. Optimize models for efficiency, accuracy, and low latency in production environments. Required Skills & Experience 3+ years of experience in AI/ML development, with a focus on Generative AI. Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow). Hands-on experience with transformers, LLMs, and generative models (GPT, BERT, Stable Diffusion). Strong understanding of NLP, computer vision, and deep learning architectures. Experience with cloud-based AI services (AWS Sagemaker, Azure AI, Google Vertex AI). Knowledge of MLOps, model deployment, and optimization techniques. Nice To Have Experience with fine-tuning LLMs and prompt engineering. Familiarity with Reinforcement Learning from Human Feedback (RLHF). Exposure to vector databases (FAISS, Pinecone, ChromaDB) for retrieval-augmented generation (RAG). AI certifications (AWS Machine Learning, Google AI, etc.). Why Join Us? Work on state-of-the-art AI innovations. Collaborate with industry-leading AI experts. Opportunities for continuous learning and growth. (ref:hirist.tech) Show more Show less

Job Title: Full Stack Developer (MERN) – 8+ Years Experience Location: Employment Type: Full-Time Job Overview: We are seeking a Full Stack Developer with at least 8 years of experience in the MERN stack (MongoDB, Express.js, React.js, Node.js) . The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications while ensuring high performance, security, and reliability. Experience with Python and AWS is a plus. Key Responsibilities: Develop, test, and deploy full-stack web applications using MERN stack . Design and implement scalable and secure backend services and RESTful APIs . Collaborate with cross-functional teams to define and deliver high-quality software solutions. Optimize application performance and troubleshoot issues as needed. Ensure best practices in coding, security, and database management . Work with cloud platforms (AWS preferred) for deployment and infrastructure management. Required Skills & Experience: 8+ years of experience in MERN stack development . Strong proficiency in Node.js, Express.js, MongoDB, and React.js . Hands-on experience with RESTful APIs, database design, and microservices architecture . Knowledge of Git, Docker, and CI/CD pipelines for efficient development workflows. Strong problem-solving and debugging skills. Nice to Have: Experience with Python for backend development. AWS Certification or experience with AWS services (Lambda, EC2, S3, etc.). Exposure to DevOps practices and infrastructure as code (Terraform, CloudFormation). Why Join Us? Work with a dynamic team on cutting-edge projects . Opportunities for career growth and continuous learning . Competitive salary and benefits.

Job Title: Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning Location: Remote (India) Job Type: Full-time Experience: 5+ Years Job Summary: We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS. You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team. Key Responsibilities: Predictive Modeling & Machine Learning Develop and deploy machine learning models for forecasting, optimization, and predictive analytics. Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment. Perform model validation, tuning, and performance monitoring. Deliver actionable insights from complex datasets to support strategic decision-making. Data Engineering & Cloud Computing Design scalable and secure ETL pipelines using AWS Glue. Manage and optimize data infrastructure in the AWS environment. Ensure high data integrity and availability across the pipeline. Integrate AWS services to support the end-to-end machine learning lifecycle. Python Programming Write efficient, reusable Python code for data processing and model development. Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch. Maintain documentation and ensure best coding practices. Collaboration & Communication Work with engineering, analytics, and business teams to understand and solve business challenges. Present complex models and insights to both technical and non-technical stakeholders. Participate in sprint planning, stand-ups, and reviews in an Agile setup. Preferred Experience (Nice to Have): Experience with applications in the utility industry (e.g., demand forecasting, asset optimization). Exposure to Generative AI technologies. Familiarity with geospatial data and GIS tools for predictive analytics. Qualifications: Master’s in Computer Science, Statistics, Mathematics, or a related field. 5+ years of relevant experience in data science, predictive modeling, and machine learning. Experience working in cloud-based data science environments (AWS preferred).

Job Title: Data Engineer – Geospatial Development Location: Kochi (or Remote/Hybrid based on discussion) Job Type: Full Time Experience: 3+ years in Data Engineering with hands-on Geospatial Development Job Summary: We are seeking a highly skilled Data Engineer with experience in geospatial data processing and visualization. The ideal candidate will have strong Python skills along with experience in geospatial platforms like ESRI ArcGIS, QGIS, and Google Earth. You should be comfortable developing map-based interfaces and visualizations using libraries such as GeoPandas, Leafmap, Leaflet, Mapbox, and Folium. This role will also involve developing robust data pipelines, managing spatial data storage, and supporting analytics and insights on geospatial datasets. Key Responsibilities: Design, implement, and optimize spatial and non-spatial data pipelines. Develop interactive geospatial data visualizations and dashboards using modern Python libraries and mapping tools. Work with tools like ESRI ArcGIS, QGIS, and Google Earth to process and analyze geospatial data. Integrate various data sources into geospatial data models and visualization platforms. Leverage Python (GeoPandas, Folium, Leaflet, Mapbox, Leafmap, etc.) for geospatial data transformation and analysis. Manage large spatial datasets in cloud environments (preferably Azure or AWS). Collaborate with data scientists and analysts to deliver geospatial insights. Ensure data integrity, performance, and security in all pipeline operations. Document technical solutions and develop reusable components and templates. Required Skills: 3+ years of experience in Data Engineering and geospatial development. Proficiency in Python with geospatial libraries (GeoPandas, Shapely, Leafmap, Folium, etc.). Hands-on experience with ESRI ArcGIS, QGIS, Google Earth, or similar platforms. Experience with web mapping tools and interfaces (Leaflet, Mapbox). Strong skills in SQL and working with spatial databases (PostGIS, SQL Server with spatial extensions). Solid understanding of coordinate systems, projections, and spatial analysis techniques. Cloud experience with services such as Azure Blob Storage, Azure Data Factory, AWS S3, or Google Cloud Storage. Preferred Qualifications: Familiarity with ETL workflows involving spatial data. Experience with containerization tools (Docker) and CI/CD pipelines. Exposure to Agile methodologies and collaborative team environments. Knowledge of metadata standards and geospatial data governance practices. Bachelor’s or Master’s in Computer Science, GIS, Geomatics, or a related field.

Job Title: Senior React Native Developer Location: Remote (India) / Hybrid (based on discussion) Experience: 5–8 years Job Type: Full-time Job Summary: We are seeking an experienced React Native Developer to join our dynamic team. The ideal candidate will have strong expertise in mobile application development, with a focus on building high-quality, cross-platform apps using React Native. You should have a solid background in JavaScript/TypeScript, mobile app architecture, and best practices in performance and security. Key Responsibilities: Develop and maintain cross-platform mobile applications using React Native. Build pixel-perfect, smooth UIs across both iOS and Android platforms. Integrate third-party APIs and native modules. Collaborate with designers, product managers, and backend engineers to deliver outstanding user experiences. Optimize applications for maximum performance, scalability, and battery efficiency. Participate in code reviews, mentor junior developers, and contribute to team knowledge sharing. Troubleshoot and debug complex application issues. Ensure best practices in code quality, testing, and documentation. Stay updated with the latest trends and advancements in mobile development. Required Skills: 5–8 years of hands-on experience in mobile app development. At least 3+ years of experience specifically in React Native development. Strong proficiency in JavaScript and TypeScript . Deep understanding of mobile app architecture, design patterns, and performance optimization techniques. Experience working with REST APIs, GraphQL, and third-party libraries. Familiarity with native build tools like Xcode, Android Studio, Gradle, etc. Knowledge of mobile app deployment processes for App Store and Google Play Store . Understanding of security best practices for mobile applications. Experience with state management libraries like Redux , Context API , or MobX . Preferred Skills: Experience integrating push notifications and analytics SDKs. Familiarity with tools like Fastlane for CI/CD automation. Exposure to native iOS (Swift/Objective-C) or Android (Kotlin/Java) development. Knowledge of testing frameworks like Jest, Detox, or Appium. Prior experience working in Agile/Scrum teams. Experience with code versioning tools such as Git. Qualifications: Bachelor’s Degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

AWS Data Engineer Location: Remote (India) Experience: 3+ Years Employment Type: Full-Time About the Role: We are seeking a talented AWS Data Engineer with at least 3 years of hands-on experience in building and managing data pipelines using AWS services. This role involves working with large-scale data, integrating multiple data sources (including sensor/IoT data), and enabling efficient, secure, and analytics-ready solutions. Experience in the energy industry or working with time-series/sensor data is a strong plus. Key Responsibilities: Build and maintain scalable ETL/ELT data pipelines using AWS Glue, Redshift, Lambda, EMR, S3, and Athena Process and integrate structured and unstructured data, including sensor/IoT and real-time streams Optimize pipeline performance and ensure reliability and fault tolerance Collaborate with cross-functional teams including data scientists and analysts Perform data transformations using Python, Pandas, and SQL Maintain data integrity, quality, and security across the platform Use Terraform and CI/CD tools (e.g., Azure DevOps) for infrastructure and deployment automation Support and monitor pipeline workflows, troubleshoot issues, and implement fixes Contribute to the adoption of emerging tools like AWS Bedrock, Textract, Rekognition, and GenAI solutions Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field 3+ years of experience in data engineering using AWS Strong skills in: AWS Glue, Redshift, S3, Lambda, EMR, Athena Python, Pandas, SQL RDS, Postgres, SAP HANA Solid understanding of data modeling, warehousing, and pipeline orchestration Experience with version control (Git) and infrastructure as code (Terraform) Preferred Skills: Experience working with energy sector dat a or IoT/sensor-based data Exposure to machine learnin g tools and frameworks (e.g., SageMaker, TensorFlow, Scikit-learn) Familiarity with big data technologie s like Apache Spark, Kafka Experience with data visualization tool s (Tableau, Power BI, AWS QuickSight) Awareness of data governance and catalog tool s such as AWS Data Quality, Collibra, and AWS Databrew AWS Certifications (Data Analytics, Solutions Architect