We believe in the strength of people and the collective effort of skilled individuals. Inforizon is all about our talented and aspirational team. We have a well defined and scalable organizational structure with policies that can support the future growth of people. Being a part of the Inforizon family, you will be encouraged to upgrade your existing skills and to actively participate in cultural events. We welcome individuals who want to be in an enriching workspace with great opportunities and scalable future growth.
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Senior AI Engineer - Kochi(6+ years)
Job ID: INFIT001
Hiring / Immediate joiners
Senior AI Engineer
Locations: Kochi
Experience Required: 6+ Years
Send Resume: recruiter@inforizonhr.com/7306892755
Job Title - AI Engineer (Generative AI & Data Products)
About the Role
We are seeking an experienced, product-minded AI Engineer specializing in Generative AI and
Agentic systems to design and build production-grade Data Products. In this role, you will bridge the gap between core backend software engineering and cutting-edge artificial intelligence, transforming complex enterprise data into intelligent, autonomous applications.
The ideal candidate has a strong foundation in data structures, a proven track record of shipping
real-world digital products, and hands-on experience building multi-agent workflows and advanced retrieval systems that solve specific, high-impact business use cases.
Key Responsibilities
• Build GenAI Data Products: Architect and deploy end-to-end data products that leverage
Large Language Models (LLMs) to automate complex workflows, extract insights, and
process large-scale data structures.
• Design Agentic Workflows: Implement autonomous, multi-agent systems capable of
sequential reasoning, tool-calling, and independent decision-making for specific business use cases.
• Advanced Data Ingestion: Design and optimize Retrieval-Augmented Generation (RAG)
pipelines, custom data indexers, and vector database management systems to handle structured and unstructured data.
• Production Engineering: Write clean, production-grade backend APIs and maintain high
availability, security standards, and low latency for deployed AI features.
Required Skills & Qualifications
• Experience: 6+ years of software engineering experience, with a heavy focus on building
and deploying production-scale ML/GenAI systems.
• GenAI & Agentic Expertise: Hands-on experience with LLM orchestration frameworks
(e.g., LangChain, LangGraph, CrewAI) and building practical agent tools.
• Data Product Mindset: Proven experience translating raw data and complex business
rules into user-facing AI applications (e.g., intelligent search, automated compliance,
insight generation).
• Core Tech Stack: Strong proficiency in Python, FastAPI/Flask, SQL, and Vector Databases
(e.g., FAISS, Redis, Pinecone).
• Cloud Infrastructure: Experience deploying applications on cloud platforms (AWS, GCP,
or Azure).Apply Now
AI/ML Architect - Bangalore Fulltime - 8+ years
Job ID: INFIT002
Hiring / Immediate joiners
AI/ML Architect
Locations: Bangalore (On-site)
Experience Required: 8+ Years
Send Resume: recruiter@inforizonhr.com/7306892755
Job Description – AI/ML Architect (Generative AI & Enterprise AI Platforms)
Role Overview
We are seeking a highly experienced and hands-on AI/ML Architect with 8–10 years of experience in Artificial Intelligence, Machine Learning, Data Science, and Enterprise AI Engineering.
The ideal candidate will lead the design, architecture, and delivery of scalable AI/ML and Generative AI solutions across multiple business domains including retail, e-commerce, travel, customer experience, analytics, operations, automation, and enterprise productivity.
This role requires a strong technical leader who can identify business opportunities for AI adoption, define scalable AI strategies, architect production-grade solutions, mentor engineering teams, and drive AI initiatives from concept to deployment.
The candidate should possess strong expertise in Machine Learning, Generative AI, Agentic AI systems, Vector Search, RAG architectures, Cloud AI platforms, and MLOps best practices.
Key Responsibilities
AI/ML Solution Architecture
- Design and implement scalable AI/ML architectures for enterprise-grade applications.
- Lead end-to-end AI solution development including data pipelines, model development, deployment, monitoring, and optimization.
- Build reusable AI platforms, frameworks, and accelerators for organization-wide adoption.
Generative AI & Agentic AI
- Architect and develop Generative AI applications using Large Language Models (LLMs).
- Design Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
- Build AI agent workflows with tool calling, multi-agent orchestration, and MCP-based integrations.
- Develop conversational assistants, coding assistants, automation agents, and enterprise copilots.
Machine Learning Engineering
- Develop and optimize ML models for:
- Recommendation systems
- Demand forecasting
- Price prediction
- Customer segmentation
- Fraud detection
- Predictive analytics
- Search ranking and relevance
- Behavioral analytics
- Optimization systems
Cloud & Platform Engineering
- Lead AI/ML implementations on cloud platforms, preferably Google Cloud Platform (GCP).
- Work with services such as:
- Vertex AI
- BigQuery
- Cloud Run
- GKE
- Pub/Sub
- Dataflow
- Vertex AI Search
- Cloud Storage
- Vector Search
MLOps & Deployment
- Establish MLOps best practices including:
- Model versioning
- Experiment tracking
- Feature engineering pipelines
- Drift detection
- Monitoring and observability
- Automated retraining workflows
- Deploy scalable AI services using:
- FastAPI / Flask
- Docker
- Kubernetes
- REST APIs
- CI/CD pipelines
- Microservices
Leadership & Collaboration
- Lead and mentor AI/ML engineers, data scientists, and backend engineering teams.
- Collaborate with product, business, and leadership stakeholders to translate business problems into AI-driven solutions.
- Evaluate emerging AI technologies and recommend strategic adoption opportunities.
Required Skills & Qualifications
Experience
- 8–10 years of experience in AI/ML, Data Science, AI Engineering, or related domains.
- Proven experience delivering production-grade AI/ML solutions.
Technical Skills
Programming & ML
- Strong proficiency in Python.
- Experience with:
- NumPy
- Pandas
- Polars
- Scikit-learn
- XGBoost
- TensorFlow
- PyTorch
Machine Learning
- Strong understanding of:
- Regression
- Classification
- Clustering
- Recommendation systems
- Forecasting models
- Anomaly detection
- Ranking systems
- Similarity search
- Optimization techniques
Generative AI
- Hands-on experience with:
- LLM applications
- RAG architecture
- Prompt engineering
- Embedding models
- Semantic search
- Hybrid search
- AI agents
- MCP integrations
- Tool calling workflows
AI Frameworks & Platforms
- Experience with:
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- AutoGen
Vector Databases & Search
- Experience with:
- Pinecone
- Weaviate
- FAISS
- Milvus
- Elasticsearch
- Vertex AI Vector Search
Cloud & Infrastructure
- Strong experience with GCP services and cloud-native architectures.
- Knowledge of:
- Docker
- Kubernetes
- GKE
- Serverless architectures
- Event-driven systems
MLOps
- Experience implementing:
- Model monitoring
- Experiment tracking
- Feature stores
- Model registry
- Logging and observability
- CI/CD for ML systems
Preferred Qualifications
- Experience in retail, e-commerce, finance, analytics, customer service, or enterprise automation domains.
- Experience with:
- Vertex AI Search
- Google Commerce Search
- Dialogflow CX / Google CX Agent
- OR-Tools
- Exposure to enterprise AI governance, scalability, and responsible AI practices.
Expected Outcomes
The AI/ML Architect will be responsible for:
- Defining and driving the organization’s AI strategy and roadmap.
- Delivering scalable and production-ready AI platforms.
- Improving customer experience, personalization, automation, and operational efficiency.
- Enabling enterprise-wide adoption of AI and Generative AI solutions.
- Establishing AI engineering and MLOps best practices across teams.
Apply Now
DevOps Engineer(5+ years)
Job ID: INFIT003
DevOps Engineer – Azure/AWS
Experience: 5+ YearsLocation: Kochi
Job Description:
We are seeking an experienced DevOps Engineer to automate infrastructure deployment and enable efficient software delivery using modern cloud technologies.
Key Responsibilities:
Build and maintain CI/CD pipelines.
Manage cloud infrastructure.
Implement Infrastructure as Code.
Monitor application performance.
Support development teams during deployments.
Required Skills:
Azure DevOps or AWS
Docker
Kubernetes
Terraform
Jenkins/GitHub Actions
Linux Administration
Monitoring tools (Grafana, Prometheus)
Good to Have:
AKS/EKS experience.
Cloud certifications.Apply Now
Senior Full Stack Engineer (AI-Enabled Applications)
Job ID: INFIT004
Senior Full Stack Engineer (AI-Enabled Applications)
Experience: 5–10 YearsLocation: Kochi / Remote
Job Description:
We are hiring a Senior Full Stack Engineer to build scalable enterprise applications with modern front-end technologies and Python-based backend services.
Key Responsibilities:
Develop end-to-end applications.
Design RESTful APIs.
Build responsive front-end interfaces.
Collaborate with cross-functional teams.
Ensure code quality and scalability.
Required Skills:
Python
FastAPI/Django
React.js
TypeScript
PostgreSQL
Docker
Git
Good to Have:
Kubernetes
AI integration experience.
Payment gateway integrations.Apply Now
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Data Engineer(8+ years)
Job ID: INFIT001
Senior Data Engineer / Data Platform Consultant (AWS, SageMaker Unified Studio & Life Sciences)
Experience: 8+ years (Minimum)
Work Timings: 11 am to 7 pm IST (flexible upon client calls)
Duration: 3 months (Will extend)
Work Model: Remote (Contractual)
Expected Joining: Immediate
If you're interested, kindly share your profile with recruiter@inforizonhr.comJob Description – Senior Data Engineer / Data Platform Consultant (AWS, SageMaker Unified Studio & Life Sciences)
Position Overview
We are seeking experienced Data Engineering and Data Platform professionals with exposure to Amazon SageMaker Unified Studio (SUS) or comparable cloud-native data and AI platforms. The ideal candidate will have strong hands-on experience with AWS data services and modern data architectures, along with Life Sciences domain knowledge.
Given the evolving nature of SageMaker Unified Studio, candidates with experience in the broader AWS Machine Learning ecosystem, Databricks, and AWS data services will also be considered highly relevant.
The role involves designing, building, and supporting scalable data, analytics, and AI/ML solutions while working closely with business and technical stakeholders.Key Responsibilities
Design, develop, and maintain modern cloud-based data platforms on AWS.
Build and optimize data pipelines, data lakes, and analytics solutions using AWS-native services.
Work with Amazon SageMaker Unified Studio and related AWS AI/ML services to enable data science and machine learning workflows.
Implement data ingestion, transformation, and orchestration solutions across structured and unstructured data sources.
Design and support data lake architectures leveraging modern open table formats such as Apache Iceberg.
Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data and AI solutions.
Implement data governance, security, and access control best practices.
Support performance tuning, monitoring, and optimization of data platforms.
Participate in architecture discussions, client engagements, and technical workshops.
Contribute to the adoption of DataOps, MLOps, and cloud engineering best practices.Required Skills & Experience
8+ years of experience in Data Engineering, Data Platforms, or Cloud Data Solutions.
Strong hands-on experience with AWS data and analytics services, including:
oAWS Glue
oAmazon Athena
oAmazon Redshift
oAmazon S3
oAWS IAM
oAWS Lake Formation (preferred)
Experience building and managing enterprise-scale data lakes and analytics platforms.
Strong SQL and Python development skills.
Experience with ETL/ELT frameworks and data integration pipelines.
Familiarity with Apache Iceberg or other modern table formats.
Understanding of cloud security, data governance, and data access management.
Experience with Amazon SageMaker Unified Studio or the broader AWS Machine Learning ecosystem.
Hands-on experience with:
oAmazon SageMaker
oSageMaker Studio
oSageMaker Pipelines
oMLOps workflows
Experience with Databricks, Spark, or similar modern data platforms.
Knowledge of Data Lakehouse architectures.
Experience with Infrastructure as Code (Terraform, CloudFormation, CDK).
Exposure to CI/CD and DevOps practices.Life Sciences Domain Experience (Preferred)
Candidates with experience in Life Sciences, Pharmaceuticals, Biotechnology, or Healthcare will be preferred.
Relevant experience may include:
Clinical Trials and Clinical Research data
Pharmaceutical R&D platforms
Laboratory and scientific data platforms
Regulatory and compliance-driven data environments
Commercial analytics and patient data solutions
GxP, FDA, EMA, or other regulated data environmentsIdeal Candidate Profile
Experience working with AWS data services and cloud-native analytics platforms.
Familiarity with both Data Engineering and AI/ML platform ecosystems.
Ability to work directly with clients and business stakeholders.
Strong problem-solving and communication skills.
Experience operating in enterprise-scale cloud environments.
Life Sciences domain knowledge combined with AWS data platform expertise is highly desirable.
Primary Skills: AWS Data Services, AWS Glue, Athena, Redshift, S3, Apache Iceberg, SageMaker Unified Studio (or AWS ML Stack), Databricks
Preferred Domain: Life Sciences / Pharmaceuticals / HealthcareApply Now
OpenText Consultant - 8+ years
Job ID: INFIT002
Job Title: OpenText Consultant
Experience: 8+ Years
Work Mode: Remote
WorkHours: 9:00 AM to 6:00 PM
Duration: 6 months (Will Extend)If you're interested, kindly share your profile with recruiter@inforizonhr.com
Job Description:
We are looking for a skilled OpenText Technical Support & Configuration Specialist to support the implementation, integration, and ongoing maintenance of OpenText within our HR IT landscape, including SAP SuccessFactors and SAP HCM. The ideal candidate will have expertise in OpenText solutions, experience in HR document management, and the ability to troubleshoot and configure the system to ensure seamless operation.
- Implementation & Integration: Support the deployment of OpenText for HR document management, integrating it with SAP SuccessFactors and SAP HCM.
- System Configuration: Configure OpenText solutions to meet business needs, including workflows, metadata, permissions, and document lifecycle management.
- Technical Support & Troubleshooting: Provide 2nd and 3rd-level support, analyze issues, and work with vendors or internal teams to resolve technical problems.
- Maintenance & Upgrades: Manage system updates, patches, and enhancements, ensuring compliance with IT security and regulatory requirements.
- User Training & Documentation: Develop training materials and support end-users by addressing technical queries and best practices.
- Collaboration: Work closely with HR IT teams, business stakeholders, and external vendors to ensure optimal system performance and continuous improvement.
- Compliance & Security: Ensure data security, access control, and compliance with GDPR and other relevant regulations.
Must Have:
- Experience: 3+ years of experience in OpenText implementation, configuration, and support.
- Technical Expertise: Hands-on experience with OpenText Content Server, Extended ECM, or similar OpenText modules.
- HR Systems Knowledge: Understanding of SAP SuccessFactors, SAP HCM, and their document management integration.
- SAP Integration: Experience with APIs, Boomi, SAP CPI, or other middleware solutions is a plus.
- Troubleshooting & Support: Strong analytical and problem-solving skills for resolving system issues.
- Language Skills: Proficiency in English
Preferred
- Certifications in OpenText or SAP-related technologies.
- Experience with cloud-based document management systems.
- Understanding of HR business processes and compliance requirements.
Apply Now
Sharepoint Developer 5+ years
Job ID: INFIT003
Experience: 5+ years
Location: Remote
Immediate joinersKey Responsibilities
- Design, develop, customize, and maintain SharePoint Online and On-Prem solutions.
- Develop custom solutions using SharePoint Framework (SPFx), JavaScript, TypeScript, HTML, and CSS.
- Build and customize web parts, extensions, workflows, and forms.
- Integrate SharePoint with Power Apps, Power Automate, and Power BI.
- Migrate content from legacy systems to SharePoint Online.
- Implement security, permissions, and governance best practices.
- Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
- Troubleshoot and resolve SharePoint-related issues and performance bottlenecks.
- Ensure solutions follow Microsoft best practices and standards.
Required Skills & Qualifications
- 5+ years of experience as a SharePoint Developer.
- Strong hands-on experience with SharePoint Online & SharePoint 2016/2019.
- Proficiency in SPFx, REST APIs, PnP JS, and PowerShell.
- Experience with Power Platform (Power Apps, Power Automate, Power BI).
- Strong knowledge of JavaScript, TypeScript, React, HTML, CSS.
- Experience with Office 365 services and integrations.
- Good understanding of SharePoint architecture, security, and governance.
- Excellent communication skills and ability to work independently in a remote environment.
Good to Have
- Microsoft SharePoint / Power Platform certifications.
- Experience with Azure services (Azure Functions, Logic Apps).
- Prior experience working on contract or remote projects.
Apply Now
AI/ML Engineer 5+ years
Job Title: AI/ML Engineer
Experience: 5+ years
Work Mode: RemoteKey Responsibilities
AI/ML Solution Architecture
- Design and implement scalable AI/ML architectures for enterprise-grade applications.
- Lead end-to-end AI solution development including data pipelines, model development, deployment, monitoring, and optimization.
- Build reusable AI platforms, frameworks, and accelerators for organization-wide adoption.
Generative AI & Agentic AI
- Architect and develop Generative AI applications using Large Language Models (LLMs).
- Design Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
- Build AI agent workflows with tool calling, multi-agent orchestration, and MCP-based integrations.
- Develop conversational assistants, coding assistants, automation agents, and enterprise copilots.
Machine Learning Engineering
- Develop and optimize ML models for:
- Recommendation systems
- Demand forecasting
- Price prediction
- Customer segmentation
- Fraud detection
- Predictive analytics
- Search ranking and relevance
- Behavioral analytics
- Optimization systems
Cloud & Platform Engineering
- Lead AI/ML implementations on cloud platforms, preferably Google Cloud Platform (GCP).
- Work with services such as:
- Vertex AI
- BigQuery
- Cloud Run
- GKE
- Pub/Sub
- Dataflow
- Vertex AI Search
- Cloud Storage
- Vector Search
MLOps & Deployment
- Establish MLOps best practices including:
- Model versioning
- Experiment tracking
- Feature engineering pipelines
- Drift detection
- Monitoring and observability
- Automated retraining workflows
- Deploy scalable AI services using:
- FastAPI / Flask
- Docker
- Kubernetes
- REST APIs
- CI/CD pipelines
- Microservices
Leadership & Collaboration
- Lead and mentor AI/ML engineers, data scientists, and backend engineering teams.
- Collaborate with product, business, and leadership stakeholders to translate business problems into AI-driven solutions.
- Evaluate emerging AI technologies and recommend strategic adoption opportunities.
Required Skills & Qualifications
Experience
- 5+ years of experience in AI/ML, Data Science, AI Engineering, or related domains.
- Proven experience delivering production-grade AI/ML solutions.
Technical Skills
Programming & ML
- Strong proficiency in Python.
- Experience with:
- NumPy
- Pandas
- Polars
- Scikit-learn
- XGBoost
- TensorFlow
- PyTorch
Machine Learning
- Strong understanding of:
- Regression
- Classification
- Clustering
- Recommendation systems
- Forecasting models
- Anomaly detection
- Ranking systems
- Similarity search
- Optimization techniques
Generative AI
- Hands-on experience with:
- LLM applications
- RAG architecture
- Prompt engineering
- Embedding models
- Semantic search
- Hybrid search
- AI agents
- MCP integrations
- Tool calling workflows
AI Frameworks & Platforms
- Experience with:
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- AutoGen
Vector Databases & Search
- Experience with:
- Pinecone
- Weaviate
- FAISS
- Milvus
- Elasticsearch
- Vertex AI Vector Search
Cloud & Infrastructure
- Strong experience with GCP services and cloud-native architectures.
- Knowledge of:
- Docker
- Kubernetes
- GKE
- Serverless architectures
- Event-driven systems
MLOps
- Experience implementing:
- Model monitoring
- Experiment tracking
- Feature stores
- Model registry
- Logging and observability
- CI/CD for ML systems
Preferred Qualifications
- Experience in retail, e-commerce, finance, analytics, customer service, or enterprise automation domains.
- Experience with:
- Vertex AI Search
- Google Commerce Search
- Dialogflow CX / Google CX Agent
- OR-Tools
- Exposure to enterprise AI governance, scalability, and responsible AI practices.
Apply Now
Senior Software Engineer
Job ID: INFIT1203
Senior Software Engineer
Department:Service Delivery Automation
Education: B.E/BTech/MCA
Experience: 3-5 yearsKey Responsibilities
● Collaborate with the architecture team to design scalable and maintainable software solutions using the .NET Framework and Elsa Framework.
● Write clean, efficient, and maintainable code using C# and .NET technologies to implement complex software systems and workflows.
● Develop and integrate workflows using the Elsa Framework to streamline and automate business processes.
● Perform code reviews, offer constructive feedback, and mentor junior developers to ensure code quality and best practices are maintained.
● Provide technical leadership and guidance to the development team, staying up-to-date with the latest developments in the .NET ecosystem and Elsa Framework.
● Identify performance bottlenecks and optimize code and workflows for improved system performance.
● Develop and execute unit tests and integration tests to ensure the reliability and robustness of software components.
● Create and maintain comprehensive technical documentation, including system architecture, codebase, and workflow designs.
● Investigate and resolve complex technical issues and provide support for production systems when needed.
● Solve complex technical problems by suggesting new codes/designs or new approaches and deliver within deadlines.
● Sharing the best practices and leveraging the same from other team members.
Technical Competence
● Proven experience as a Senior Software Engineer with a focus on the .NET Framework and Elsa Framework.
● Strong proficiency in C# and the .NET ecosystem, including ASP.NET, Entity Framework, and other related technologies.
● Expertise in designing and implementing workflows using Elsa Framework.
● Expertise in designing and implementing workflows using Elsa Framework. - Solid understanding of software architecture principles and design patterns.
● Experience with database technologies such as SQL Server.Apply Now
Data Engineer
Job ID: INFIT01
Experience: 6+ years
Location: Remote
Budget: [Specify if needed]Job Summary:
We are looking for an experienced Data Engineer with expertise in Azure Data Factory (ADF), Databricks, and Data Modeling. The ideal candidate should have a strong technical background in data pipeline development, transformation, and optimization, along with excellent communication skills to collaborate with cross-functional teams.
Key Responsibilities:
- Design, develop, and optimize ETL pipelines using Azure Data Factory (ADF).
- Build and maintain scalable data processing solutions in Databricks.
- Implement and manage data models, ensuring efficiency and performance.
- Work with structured and unstructured data, applying best practices in data transformation and modeling.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Ensure data integrity, security, and compliance in alignment with organizational policies.
- Optimize data storage, retrieval, and performance tuning in cloud environments.
- Troubleshoot data pipeline issues and implement improvements.
Technical Skills Required:
- Azure Data Factory (ADF) – Strong experience in developing and managing data pipelines.
- Databricks – Hands-on expertise in building and optimizing Spark-based data transformations.
- Data Modeling – Experience in designing OLAP, OLTP, and dimensional models.
- SQL & NoSQL Databases – Proficiency in handling large datasets.
- Programming Languages – Proficiency in Python, SQL, or Scala for data processing.
- Azure Cloud – Strong understanding of Azure Synapse, Azure Storage, and other data services.
- Big Data Processing – Experience with distributed computing frameworks like Apache Spark.
- CI/CD & DevOps – Familiarity with Azure DevOps, Git, and automation tools for deploying data pipelines.
Soft Skills:
- Strong communication skills – Ability to clearly explain technical concepts to non-technical stakeholders.
- Problem-solving mindset – Analytical approach to troubleshooting and optimizing data workflows.
- Collaboration – Experience working with cross-functional teams.
Preferred (Good to Have) Skills:
- Experience with Power BI or other visualization tools.
- Knowledge of Kafka, Event Hub, or real-time data streaming technologies.
- Certifications in Azure Data Engineering (DP-203) or equivalent.
-
Apply Now
MERN Stack Developer
Job ID: INFIT02
Job Title: MERN Stack Developer (5+ Years Experience)Location: Remote (Candidates from Kerala & Tamil Nadu preferred)
Experience: 5+ years
Job Overview:
We are seeking a highly skilled MERN Stack Developer with a minimum of 5 years of hands-on experience in building and deploying full-stack applications from scratch. The ideal candidate should have strong expertise in React.js, Node.js, AWS, Docker, TypeScript, and CI/CD processes, along with experience in payment integrations.
This is a fully remote role with a preference for candidates from Kerala & Tamil Nadu.
Key Responsibilities:
- Design, develop, and maintain scalable and high-performance applications using MERN stack (MongoDB, Express.js, React.js, Node.js).
- Implement microservices architecture and containerization using Docker.
- Develop and deploy applications on AWS and optimize cloud services.
- Work with TypeScript to ensure robust and maintainable code.
- Set up and manage CI/CD pipelines for automated testing and deployment.
- Handle payment gateway integrations and ensure secure transactions.
- Collaborate with cross-functional teams to deliver high-quality solutions.
- Troubleshoot, debug, and optimize applications for performance.
Required Skills & Qualifications:
- 5+ years of hands-on experience in MERN stack development.
- Strong expertise in React.js, Node.js, Express.js, and MongoDB.
- Experience with AWS services (EC2, S3, Lambda, etc.).
- Proficiency in Docker and containerized deployments.
- Hands-on experience with TypeScript.
- Knowledge of CI/CD pipelines and DevOps workflows.
- Experience in payment integration (Stripe, Razorpay, PayPal, etc.).
- Strong problem-solving skills and ability to work in an agile environment.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience in microservices and serverless architecture.
- Familiarity with GraphQL and WebSockets.
- Previous experience working in remote teams.
Apply Now
Or email us recruiter@inforizonhr.com your Resume for the openings in future.
Benefits
Better Salary
W offer competitive salaries to keep our employees motivated and keep a sense of unity within our company.
Flexibility
Inforizon offer flexible work hours or remote work options, allowing employees to achieve a better work-life balance.
Career Growth
Inforizon invest in our employees' professional growth by providing training, education, and career opportunities.
Recognition
We offer Performance bonuses and extra financial rewards based on individual and teams achievements.
Technology
We help up-to-date tools and technology needed for the job. Equipment and software to facilitate remote work.
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