Description
Job Summary
We are looking for an experienced and highly skilled Senior Java React.js Developer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java (Spring Boot) along with modern frontend development experience using React.js.
[hr align="center" size="2" width="100%"]
Key Responsibilities
• Design, develop, and maintain robust, scalable, and high-performance applications.
• Build backend services using Java, Spring Boot, and Microservices architecture.
• Develop responsive and dynamic user interfaces using React.js, Redux, and modern JavaScript (ES6+).
• Collaborate with cross-functional teams including product managers, UX designers, and QA engineers.
• Write clean, efficient, and maintainable code following best practices.
• Perform code reviews and mentor junior developers.
• Optimize application performance, scalability, and security.
• Troubleshoot and resolve production issues.
• Participate in Agile/Scrum development processes.
[hr align="center" size="2" width="100%"]
Required Skills & Qualifications
• 8+ years of overall software development experience.
• Strong proficiency in Java, Spring Boot, REST APIs.
• Hands-on experience with Microservices architecture.
• Solid experience in React.js, JavaScript, HTML5, CSS3.
• Experience with state management libraries (Redux, Context API).
• Good understanding of RESTful API integration and asynchronous programming.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with version control tools (Git).
• Experience working in Agile environments.
[hr align="center" size="2" width="100%"]
Preferred Skills
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Cloud platforms (Azure/AWS/GCP).
• Familiarity with GraphQL.
• Experience with unit testing frameworks (JUnit, Jest, Mocha).
• Understanding of security best practices (OAuth, JWT).
[hr align="center" size="2" width="100%"]
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and handle multiple priorities.
• Leadership and mentoring capabilities.
[hr align="center" size="2" width="100%"]
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
[hr align="center" size="2" width="100%"]
Nice to Have
• Experience in enterprise-scale applications.
• Exposure to performance tuning and system design.
• Certification in Java or Cloud technologies.
Responsibilities
Description
Job Summary
We are looking for an experienced and highly skilled Senior Java React.js Developer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong backend expertise in Java (Spring Boot) along with modern frontend development experience using React.js.
[hr align="center" size="2" width="100%"]
Key Responsibilities
• Design, develop, and maintain robust, scalable, and high-performance applications.
• Build backend services using Java, Spring Boot, and Microservices architecture.
• Develop responsive and dynamic user interfaces using React.js, Redux, and modern JavaScript (ES6+).
• Collaborate with cross-functional teams including product managers, UX designers, and QA engineers.
• Write clean, efficient, and maintainable code following best practices.
• Perform code reviews and mentor junior developers.
• Optimize application performance, scalability, and security.
• Troubleshoot and resolve production issues.
• Participate in Agile/Scrum development processes.
[hr align="center" size="2" width="100%"]
Required Skills & Qualifications
• 8+ years of overall software development experience.
• Strong proficiency in Java, Spring Boot, REST APIs.
• Hands-on experience with Microservices architecture.
• Solid experience in React.js, JavaScript, HTML5, CSS3.
• Experience with state management libraries (Redux, Context API).
• Good understanding of RESTful API integration and asynchronous programming.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiarity with version control tools (Git).
• Experience working in Agile environments.
[hr align="center" size="2" width="100%"]
Preferred Skills
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Knowledge of Cloud platforms (Azure/AWS/GCP).
• Familiarity with GraphQL.
• Experience with unit testing frameworks (JUnit, Jest, Mocha).
• Understanding of security best practices (OAuth, JWT).
[hr align="center" size="2" width="100%"]
Soft Skills
• Strong problem-solving and analytical abilities.
• Excellent communication and teamwork skills.
• Ability to work independently and handle multiple priorities.
• Leadership and mentoring capabilities.
[hr align="center" size="2" width="100%"]
Education
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
[hr align="center" size="2" width="100%"]
Nice to Have
• Experience in enterprise-scale applications.
• Exposure to performance tuning and system design.
• Certification in Java or Cloud technologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Responsibilities
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Responsibilities
We are looking for a skilled Databricks Platform Engineer to design, build, and manage our cloud data and AI platform on Azure Databricks. You will be the go-to person for everything Databricks — from ingesting raw data into Delta Lake to deploying production RAG (Retrieval-Augmented Generation) systems that power our AI applications.
You will work closely with data engineers, ML engineers, and product teams to build a scalable, secure, and governed data platform that accelerates AI-driven product development.
What you will do
Platform management
• Provision, configure, and manage Azure Databricks workspaces, clusters, and compute policies
• Implement and maintain Unity Catalog for data governance, lineage, and access control across the platform
• Optimize cluster performance, autoscaling, and cost — balancing speed and spend
• Monitor platform health, set up alerting, and troubleshoot job failures and performance bottlenecks
Data engineering and Delta Lake
• Design and build Bronze → Silver → Gold medallion architecture pipelines using Delta Lake
• Ingest structured and unstructured data (CSV, JSON, PDF, APIs) into ADLS Gen2 and Delta tables
• Implement MERGE, schema evolution, Change Data Feed, and partitioning strategies for production tables
• Manage Delta table versions, vacuum, optimize, and Z-order for query performance
ADLS Gen2 and storage
• Configure ADLS Gen2 storage accounts, containers, and hierarchical namespaces
• Set up Service Principal authentication, Key Vault integration, and IAM role assignments
• Design external locations and storage credentials in Unity Catalog for secure data access
CI/CD and DevOps
• Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows using Azure DevOps or GitHub Actions
• Manage Databricks asset bundles (DABs) for version-controlled deployment of jobs, pipelines, and configurations
• Implement environment promotion (dev → staging → prod) with automated testing and rollback strategies
• Use Databricks Repos and Git integration for collaborative notebook development
App deployment on Databricks
• Deploy and manage Databricks Apps, containerized workloads, and model serving endpoints
• Configure Databricks workflows, multi-task jobs, and DLT (Delta Live Tables) pipelines
• Integrate Databricks with external services — Azure OpenAI, Azure AI Search, Event Hubs, and REST APIs
RAG system development
• Build end-to-end RAG pipelines — PDF and document ingestion, chunking, embedding generation, and vector indexing
• Configure and manage Databricks Vector Search endpoints and Delta Sync indexes
• Optimize chunk size, overlap, and embedding strategies for retrieval quality
• Integrate RAG pipelines with LLM inference (Azure OpenAI, llama, or open-source models via Model Serving)
Skills and requirements
Skill area What we expect Level
Azure Databricks Workspace admin, cluster mgmt, Unity Catalog, job orchestration Expert
Delta Lake Medallion architecture, MERGE, CDF, Z-order, schema evolution Expert
ADLS Gen2 Storage accounts, Service Principals, Key Vault, IAM, abfss:// Expert
Unity Catalog Metastore, external locations, storage credentials, RBAC Proficient
CI/CD Azure DevOps / GitHub Actions, Databricks Asset Bundles, DABs Proficient
RAG systems Chunking, embeddings, Vector Search, LLM integration, retrieval eval Proficient
Python / PySpark Data transformation, UDFs, pandas UDFs, Spark optimization Expert
SQL Complex queries, Delta SQL, Unity Catalog SQL, performance tuning Expert
Azure ecosystem Entra ID, Key Vault, AKS, Azure Monitor, Event Hubs Proficient
MLflow Experiment tracking, model registry, model serving Preferred
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
"About The Position
We are looking for an Appian Lead Developer to join our team. You will be interacting
with Support team members as part of their support and enhancement team to help
solve their challenging business problems, create innovative solutions, and implement
innovative ideas to provide true value to the customer.
What You’ll Do
· Design technical solutions / enterprise solutions and lead a small team in
development activities
· Lead Appian support POD and run workshops to break down epics into stories
· Guide Appian developers within a delivery team ensuring proper implementations of
best designs, testing and deployment practices are followed
· Work with developers and architects to ensure the fixes and build meets business
requirements, translating those requirements in to customized solutions using the
Appian platform
· Develop and modularize individual components for reusability
· Perform peer reviews and ensure application quality
· Perform impact analysis, application development and performance management
· Develop components such as complex and nested data store, SAIL interfaces,
queries, and integrations
Expertise You’ll Bring
· Qualifications & Certifications: Bachelor’s degree in Computer Science or related
with 7 - 10 years of professional experience
· Appian Designer certification
· Experience: Minimum of 5+ years, recently working with Appian software
development and designing
· Software architecture and SOA services implementation
· Agile / scrum development methodology using JIRA and Confluence
· Working in Appian 18+ versions
· Working creatively and analytically in a problem-solving environment
· Consulting or client service delivery
· Specialization in functional area (BPM, deployment, etc.) or industry domain
expertise
· Cucumber, Java, SQL
· Appian AI, IDP and other intelligent automation technologies
· Using Git and Jenkins for continuous integration
· Developing different types of records and reports
Soft Skills
• Strong analytical and problem-solving skills for complex troubleshooting.
• Excellent communication and stakeholder management abilities.
• Ability to lead cross-functional teams and mentor Appian team members.
• Self-driven, proactive, and adaptable to fast-paced environments."
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Please share profiles for CISCO ISE, we are planning to do drive on tomorrow.
Hope , you are already working for this demand.
While you share profiles , please mentioned time slot as well.
Skills : Cisco ISE
Location : Any
NP : Immediate
Level : SA and M
Responsibilities
Please share profiles for CISCO ISE, we are planning to do drive on tomorrow.
Hope , you are already working for this demand.
While you share profiles , please mentioned time slot as well.
Skills : Cisco ISE
Location : Any
NP : Immediate
Level : SA and M
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Please share profiles for CISCO ISE, we are planning to do drive on tomorrow.
Hope , you are already working for this demand.
While you share profiles , please mentioned time slot as well.
Skills : Cisco ISE
Location : Any
NP : Immediate
Level : SA and M
Responsibilities
Please share profiles for CISCO ISE, we are planning to do drive on tomorrow.
Hope , you are already working for this demand.
While you share profiles , please mentioned time slot as well.
Skills : Cisco ISE
Location : Any
NP : Immediate
Level : SA and M
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
