Looking for experienced Full Stack Developers with strong backend expertise in Java Spring Boot and frontend development using React & TypeScript. The role involves building scalable enterprise applications, microservices, REST APIs, and responsive UI solutions in an agile, cloud-native environment.
Key Responsibilities
Develop and maintain enterprise applications using Java Spring Boot, React, and TypeScript
Design scalable REST APIs and microservices
Build reusable and responsive frontend components
Integrate frontend with backend and external systems
Ensure application performance, security, and scalability
Troubleshoot issues and support production environments
Participate in agile ceremonies, code reviews, and technical discussions
Collaborate with DevOps teams for CI/CD and deployments
Required Skills
6+ years of Full Stack development experience
Strong hands-on experience in Java, Spring Boot, React.js, and TypeScript
Experience with REST APIs and Microservices Architecture
Knowledge of Redux/state management
Experience with PostgreSQL/MySQL and MongoDB
Familiarity with Git and Agile/Scrum methodologies
Good debugging and problem-solving skills
Understanding of authentication and authorization mechanisms
Good to Have
Cloud exposure (AWS/Azure/GCP)
CI/CD, Docker, Kubernetes knowledge
Kafka/event-driven architecture experience
Security best practices and OWASP awareness
Experience with reusable UI architecture
Responsibilities
Looking for experienced Full Stack Developers with strong backend expertise in Java Spring Boot and frontend development using React & TypeScript. The role involves building scalable enterprise applications, microservices, REST APIs, and responsive UI solutions in an agile, cloud-native environment.
Key Responsibilities
Develop and maintain enterprise applications using Java Spring Boot, React, and TypeScript
Design scalable REST APIs and microservices
Build reusable and responsive frontend components
Integrate frontend with backend and external systems
Ensure application performance, security, and scalability
Troubleshoot issues and support production environments
Participate in agile ceremonies, code reviews, and technical discussions
Collaborate with DevOps teams for CI/CD and deployments
Required Skills
6+ years of Full Stack development experience
Strong hands-on experience in Java, Spring Boot, React.js, and TypeScript
Experience with REST APIs and Microservices Architecture
Knowledge of Redux/state management
Experience with PostgreSQL/MySQL and MongoDB
Familiarity with Git and Agile/Scrum methodologies
Good debugging and problem-solving skills
Understanding of authentication and authorization mechanisms
Good to Have
Cloud exposure (AWS/Azure/GCP)
CI/CD, Docker, Kubernetes knowledge
Kafka/event-driven architecture experience
Security best practices and OWASP awareness
Experience with reusable UI architecture
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The EFCC Analyst Operations is responsible for supporting the day-to-day functions of the BSA Compliance Department, ensuring compliance with the Bank Secrecy Act and Anti-Money Laundering regulations. Key responsibilities include conducting investigations on accounts linked to financial crimes, managing a diverse portfolio of tasks, and providing high-level support to the BSA program. Candidates should have experience in financial crimes compliance and strong analytical skills, particularly in Excel.
Responsibilities
The EFCC Analyst Operations is responsible for supporting the day-to-day functions of the BSA Compliance Department, ensuring compliance with the Bank Secrecy Act and Anti-Money Laundering regulations. Key responsibilities include conducting investigations on accounts linked to financial crimes, managing a diverse portfolio of tasks, and providing high-level support to the BSA program. Candidates should have experience in financial crimes compliance and strong analytical skills, particularly in Excel.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Senior Test Automation Engineer role focused on designing, developing, and implementing robust testing solutions for a proprietary Manufacturing Execution System (MES) platform. The ideal candidate will have 5+ years of experience in test design, automation, and performance testing with strong Python proficiency and expertise in API testing. Key responsibilities include creating scalable test frameworks, collaborating with cross-functional teams, and ensuring quality and reliability of MES applications in demanding manufacturing environments. When sourcing candidates, look for: (1) hands-on expertise in test automation frameworks and Python scripting with proven track record in complex automation projects, (2) experience with API testing and performance testing concepts, and (3) familiarity with CI/CD pipelines and agile methodologies.
Responsibilities
Senior Test Automation Engineer role focused on designing, developing, and implementing robust testing solutions for a proprietary Manufacturing Execution System (MES) platform. The ideal candidate will have 5+ years of experience in test design, automation, and performance testing with strong Python proficiency and expertise in API testing. Key responsibilities include creating scalable test frameworks, collaborating with cross-functional teams, and ensuring quality and reliability of MES applications in demanding manufacturing environments. When sourcing candidates, look for: (1) hands-on expertise in test automation frameworks and Python scripting with proven track record in complex automation projects, (2) experience with API testing and performance testing concepts, and (3) familiarity with CI/CD pipelines and agile methodologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Candidate should posses an experience of minimum 2 years.
Provide L2 application support by resolving incidents from L1 within SLA.
Perform in‑depth issue analysis using strong SQL querying skills to analyze data, identify root causes, and validate fixes.
Handle production issues related to data, access, and application workflows.
Coordinate with L3 teams and vendors for complex issues and permanent resolutions.
Document solutions, known errors, and troubleshooting steps.
Responsibilities
Candidate should posses an experience of minimum 2 years.
Provide L2 application support by resolving incidents from L1 within SLA.
Perform in‑depth issue analysis using strong SQL querying skills to analyze data, identify root causes, and validate fixes.
Handle production issues related to data, access, and application workflows.
Coordinate with L3 teams and vendors for complex issues and permanent resolutions.
Document solutions, known errors, and troubleshooting steps.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Experience: 8+ years
Responsibilities
• Design the overall system architecture for data ingestion, processing, storage, and visualization
• Define technology stack, integration patterns, and scalability strategies
• Ensure security, performance, and maintainability of the platform
• Guide engineering teams on best practices and architectural decisions
• Conduct code and design reviews, and mentor senior engineers
(AND/OR)
• Design and own the end-to-end architecture of a modular, microservices-based SaaS platform.
• Define and implement a multi-cloud strategy (AWS + Azure + GCP) with Kubernetes, CI/CD, and observability.
• Architect and integrate LLM-based features such as:
• Automated feedback summarization
• Campaign content generation
• Workflow decision support
• Collaborate with product, engineering, and data teams to translate business needs into scalable solutions.
• Ensure security, compliance (e.g., GDPR), and performance across all services.
• Evaluate and integrate open-source tools (e.g., Camunda, OpenBoxes) and enterprise systems (e.g., SAP).
Skills & Experience
• 8+ years in software architecture and backend engineering
• Deep expertise in distributed systems, microservices, and cloud-native design
• Proficiency in Java, Kafka, Kubernetes, and observability tools (e.g., OpenTelemetry, Prometheus)
• Experience with time-series databases, stream processing, and API design
• Strong understanding of DevOps, CI/CD, and infrastructure as code
(AND/OR)
• Proven experience with microservices, event-driven architecture, and API-first development
• Experience with PostgreSQL, MongoDB, and Redis.
• Familiarity with message brokers like Kafka or RabbitMQ.
• Knowledge of OAuth2, JWT, and secure coding practices.
• Deep expertise in AWS/Azure/GCP cloud platforms
• Strong knowledge of Kubernetes, Docker, Terraform, and CI/CD pipelines
• Experience with LLMs (e.g., OpenAI, Hugging Face, LangChain) and prompt engineering
• Familiarity with workflow engines (e.g., Camunda, n8n) and logistics systems (e.g., OpenBoxes)
• Strong understanding of data privacy, security, and compliance frameworks
Responsibilities
Experience: 8+ years
Responsibilities
• Design the overall system architecture for data ingestion, processing, storage, and visualization
• Define technology stack, integration patterns, and scalability strategies
• Ensure security, performance, and maintainability of the platform
• Guide engineering teams on best practices and architectural decisions
• Conduct code and design reviews, and mentor senior engineers
(AND/OR)
• Design and own the end-to-end architecture of a modular, microservices-based SaaS platform.
• Define and implement a multi-cloud strategy (AWS + Azure + GCP) with Kubernetes, CI/CD, and observability.
• Architect and integrate LLM-based features such as:
• Automated feedback summarization
• Campaign content generation
• Workflow decision support
• Collaborate with product, engineering, and data teams to translate business needs into scalable solutions.
• Ensure security, compliance (e.g., GDPR), and performance across all services.
• Evaluate and integrate open-source tools (e.g., Camunda, OpenBoxes) and enterprise systems (e.g., SAP).
Skills & Experience
• 8+ years in software architecture and backend engineering
• Deep expertise in distributed systems, microservices, and cloud-native design
• Proficiency in Java, Kafka, Kubernetes, and observability tools (e.g., OpenTelemetry, Prometheus)
• Experience with time-series databases, stream processing, and API design
• Strong understanding of DevOps, CI/CD, and infrastructure as code
(AND/OR)
• Proven experience with microservices, event-driven architecture, and API-first development
• Experience with PostgreSQL, MongoDB, and Redis.
• Familiarity with message brokers like Kafka or RabbitMQ.
• Knowledge of OAuth2, JWT, and secure coding practices.
• Deep expertise in AWS/Azure/GCP cloud platforms
• Strong knowledge of Kubernetes, Docker, Terraform, and CI/CD pipelines
• Experience with LLMs (e.g., OpenAI, Hugging Face, LangChain) and prompt engineering
• Familiarity with workflow engines (e.g., Camunda, n8n) and logistics systems (e.g., OpenBoxes)
• Strong understanding of data privacy, security, and compliance frameworks
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
This is a senior data science role requiring 8+ years of experience in developing innovative AI/ML models. The position focuses on applying advanced techniques including Markov chains, genetic algorithms, NLP, and computer vision, along with small language model fine-tuning. Key responsibilities involve identifying opportunities, building and testing proof-of-concept models, and creating automated experiments and pipelines. Candidates should have strong Python and PySpark proficiency, SQL/KQL knowledge, and experience with Azure, Databricks, and graph databases. When sourcing, prioritize candidates with: (1) proven track record of developing innovative AI/ML models, (2) ability to rapidly prototype and iterate on PoC solutions, and (3) mindset for continuous learning and experimentation with new technologies.
Responsibilities
This is a senior data science role requiring 8+ years of experience in developing innovative AI/ML models. The position focuses on applying advanced techniques including Markov chains, genetic algorithms, NLP, and computer vision, along with small language model fine-tuning. Key responsibilities involve identifying opportunities, building and testing proof-of-concept models, and creating automated experiments and pipelines. Candidates should have strong Python and PySpark proficiency, SQL/KQL knowledge, and experience with Azure, Databricks, and graph databases. When sourcing, prioritize candidates with: (1) proven track record of developing innovative AI/ML models, (2) ability to rapidly prototype and iterate on PoC solutions, and (3) mindset for continuous learning and experimentation with new technologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
