Restful Jobs

Principal Java Engineer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Java Expert to join our dynamic team. This is a hybrid role requiring a blend of remote and on-site work. The ideal candidate will possess a deep understanding of Java and related technologies, with a proven ability to design, develop, and deploy robust and scalable applications within an IT / Technology environment. Key Responsibilities The Java Expert will be responsible for a range of tasks including designing and implementing complex Java -based solutions, participating in architectural discussions, and mentoring junior developers. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality code. Required Skills & Qualifications Java : Extensive experience in Java development, including a strong understanding of core Java concepts and best practices. Jakarta EE : Proficiency in utilizing Jakarta EE technologies for building enterprise-grade applications. Domain-Driven Design : Ability to apply Domain-Driven Design principles to create maintainable and scalable software. Cloud-Native Systems : Experience designing and developing Cloud-Native Systems for optimal performance and scalability. Java SE : Solid foundation in Java SE fundamentals. JPA : Proficiency in using JPA for object-relational mapping. CDI : Experience with CDI for dependency injection. EJB : Knowledge of EJB for enterprise Java beans. JAX-RS : Ability to develop RESTful APIs using JAX-RS . Application Servers: Experience with application servers such as WebSphere Liberty , Payara , and WildFly . Microservices Architecture : Deep understanding of Microservices Architecture principles and patterns. Distributed Systems : Experience in designing and implementing Distributed Systems . Cloud Platforms: Experience with cloud platforms including AWS , Azure , and GCP . Containerization: Proficiency in using Docker for containerization. Orchestration: Experience with Kubernetes for container orchestration. Event-Driven Architectures : Ability to design and implement Event-Driven Architectures . Messaging Systems : Experience with Messaging Systems such as Kafka and RabbitMQ . API Design : Strong skills in API Design principles. RESTful : Proficiency in developing RESTful APIs. GraphQL : Knowledge of GraphQL for querying APIs. CI/CD Pipelines : Experience in building and maintaining CI/CD Pipelines . DevOps Practices : Familiarity with DevOps Practices . Version Control: Proficiency in using Git for version control. Automation: Experience with Jenkins for automation. Analytical Skills : Strong Analytical Skills for problem-solving. Problem-solving Skills : Excellent Problem-solving Skills . Debugging Skills : Proficient Debugging Skills . Communication Skills : Effective Communication Skills . Leadership Skills : Demonstrated Leadership Skills . Reactive Frameworks: Experience with reactive frameworks such as Spring WebFlux , Quarkus , and Micronaut . NoSQL Databases : Experience with NoSQL Databases such as MongoDB and Cassandra . In-Memory Data Grids : Knowledge of In-Memory Data Grids such as Hazelcast and Redis . Security Frameworks : Experience with Security Frameworks such as OAuth2 and OpenID Connect . Observability Tools : Familiarity with Observability Tools such as Prometheus , Grafana , and ELK Stack . Experience Required: The ideal candidate will have 7 - 15 years of experience in Java development, demonstrating a high level of proficiency and a proven track record of success in delivering complex projects. This level of experience is expected to include leading technical initiatives and mentoring junior team members. What We Offer Salary: 50 LPA

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking two Artificial Intelligence Senior Associates to join our growing team in Chennai. This role is ideal for a highly motivated individual with a strong foundation in AI/ML and a passion for building innovative solutions within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for contributing to the full lifecycle of AI/ML models, from design and development to deployment and monitoring. This includes collaborating with cross-functional teams to define requirements, build and test models, and ensure their ongoing performance and reliability. Required Skills & Qualifications AI/ML : A strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. This includes experience in model selection, training, and evaluation. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) services for machine learning, including but not limited to GCP AI Platform, Vertex AI, and related tools. GenAI : Experience with Generative AI models and techniques, including understanding of their capabilities and limitations. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into larger systems. MLOps : Solid understanding of MLOps principles and practices, including continuous integration, continuous delivery, and automated testing for machine learning models. Governance : Knowledge of data governance principles and best practices, ensuring responsible and ethical use of AI/ML models. RESTful APIs : Experience designing and implementing RESTful APIs for integrating AI/ML models into applications and services. Microservices : Understanding of microservices architecture and experience building and deploying AI/ML models as microservices . Data Pipelines : Ability to design, build, and maintain robust and scalable data pipelines for ingesting, transforming, and preparing data for AI/ML models. Model Monitoring : Experience in implementing and maintaining model monitoring systems to track performance, detect anomalies, and ensure model reliability. Performance , Drift , Reliability : A keen eye for detail and a commitment to ensuring the performance , minimizing drift , and maximizing the reliability of AI/ML models. Serverless : Experience with serverless computing platforms and their application to AI/ML model deployment. Containerized : Proficiency in containerized deployment using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate effectively with product management teams to define requirements and translate business needs into technical solutions. Reasoning : Strong analytical and reasoning skills to effectively analyze data and solve complex problems. Tool-use : Ability to quickly learn and adapt to new tools and technologies. APIs : Experience working with various types of APIs . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in AI/ML development and deployment. What We Offer Salary :

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking a highly motivated and skilled Software Engineer to join our growing team in Chennai. This role, designated as a Core Engineer 0, will focus on developing and maintaining core components of our technology platform. The ideal candidate will possess a strong foundation in software engineering principles and a passion for building scalable and reliable systems. Key Responsibilities This position will involve a range of responsibilities centered around the design, development, and implementation of software solutions. The candidate will collaborate with cross-functional teams to ensure the delivery of high-quality, robust, and scalable applications. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 6 - None years of experience are expected. This level is entry-level and requires a strong foundation in computer science principles and a willingness to learn and grow within a dynamic environment. Programming Languages: Proficiency in Java and Python is essential. Frameworks & Technologies: Demonstrated experience with Angular , Spring Boot , React , and Node.js . Cloud Computing: Solid understanding of GCP (Google Cloud Platform) and experience with GCP Data Engineer and GCP Professional Cloud certifications are highly desirable. Data Technologies: Experience with BigQuery , Dataproc , Apache Beam , Kafka , PostgreSQL , and MySQL . Data Engineering & Analytics: Ability to leverage Data Flow and GCP Data Solutions for data processing and analysis. Strong Analytical Skills are required. API Development: Experience designing and implementing RESTful APIs . DevOps & Automation: Familiarity with CI/CD practices, Infrastructure as Code using Terraform , and version control using GitHub . Data Security & Governance: Understanding of Data Governance principles, RBAC (Role-Based Access Control), Encryption , and Data Masking techniques. Cloud Services: Experience with Cloud Functions and Pub/Sub . Artificial Intelligence & Machine Learning: Basic understanding of AI and ML concepts. Problem-Solving Skills: Exceptional Problem-Solving Skills are crucial for identifying and resolving complex technical challenges. What We Offer Salary:

GCP Data Engineer

SACHA Engineering•

Chennai

•Full-time

Job Summary We are seeking a skilled and experienced GCP Data Engineer to join our growing team in Chennai. This role is critical to building and maintaining our data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organization. The ideal candidate will possess a strong foundation in data engineering principles and a proven ability to work with cloud-based technologies, specifically the GCP platform. Key Responsibilities The GCP Data Engineer will be responsible for the following: Designing, building, and maintaining robust and scalable data pipelines using ETL processes. Developing and implementing data quality checks and validation procedures to ensure data accuracy and reliability. Ingesting data from various sources, including APIs and databases, into our GCP environment. Performing Data Mining and Data Analytics to identify trends and insights. Collaborating with cross-functional teams to understand data requirements and deliver effective data solutions. Utilizing Git version control for code management and collaboration. Developing and maintaining RESTful APIs for data access and integration. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in Data Engineering principles and practices. Strong experience with BI Tools for data visualization and reporting. Expertise in SQL for data querying and manipulation. Solid programming skills in Python for data processing and automation. Experience with API Development , including designing and implementing RESTful APIs . Hands-on experience with GCP services for data storage, processing, and analytics. Familiarity with Data Integration techniques and tools. Understanding of Data Quality principles and methodologies. Experience with Data Ingestion from various sources. Proficiency in using Git version control for collaborative code management. Experience Required: 5 - 10 years of relevant experience in data engineering, demonstrating a strong track record of building and maintaining data pipelines and working with cloud technologies. This level of experience indicates a senior-level role requiring independent problem-solving and the ability to mentor junior team members. What We Offer Salary:

Python Data Analytics

SACHA Engineering•

Chennai

•Full-time

Job Summary We are seeking a skilled Python Data Analytics professional to join our team in Chennai. This role offers an exciting opportunity to contribute to a dynamic environment within the IT / Technology industry. Key Responsibilities This role will involve a range of responsibilities centered around data analysis and reporting, leveraging Python and related technologies to extract meaningful insights from complex datasets. The successful candidate will be expected to demonstrate a strong ability to translate data into actionable recommendations. Required Skills & Qualifications Python : Proficiency in Python programming is essential, including experience in developing and implementing data analysis scripts and algorithms. Data Analytics : A strong foundation in Data Analytics principles and techniques, with the ability to apply these to real-world business problems. Big Data Query : Experience with Big Data Query techniques and tools to efficiently process and analyze large datasets. GCP : Familiarity with GCP (Google Cloud Platform) for data storage, processing, and analysis. Github : Experience using Github for version control and collaborative development. Pandas : Expertise in using Pandas for data manipulation and analysis. NumPy : Proficiency in utilizing NumPy for numerical computations and array processing. SciPy : Knowledge of SciPy for scientific computing and statistical analysis. Dask : Experience with Dask for parallel computing and scaling data analysis tasks. Hadoop : Understanding of Hadoop ecosystem for distributed data storage and processing. Hive : Experience with Hive for querying and analyzing data stored in Hadoop . Spark : Proficiency in using Spark for fast and scalable data processing. Data Retrieval : Ability to retrieve data from various sources and formats. Data Processing : Strong skills in data cleaning, transformation, and preparation for analysis. RESTful Web APIs : Understanding of RESTful Web APIs for data integration and exchange. Data Sources : Ability to connect to and extract data from diverse Data Sources . Windows & Linux : Comfortable working in both Windows and Linux environments. Written Communication Skills : Excellent Written Communication Skills for creating clear and concise reports and documentation. Verbal Communication Skills : Strong Verbal Communication Skills for presenting findings and collaborating with stakeholders. Organizational Skills : Demonstrated Organizational Skills for managing multiple tasks and priorities effectively. Attention to Detail : A meticulous Attention to Detail to ensure data accuracy and integrity. Multi-tasking Skills : Ability to effectively manage and prioritize multiple tasks simultaneously. Reporting Tools : Experience with various Reporting Tools for creating insightful visualizations and dashboards. Metrics : Understanding of key performance indicators ( Metrics ) and their application in data analysis. Visualizations : Ability to create compelling Visualizations to communicate data insights effectively. Software Traceability : Knowledge of Software Traceability principles and practices. Documentation : Ability to create comprehensive and accurate Documentation for data analysis processes and results. Experience Required: The ideal candidate will possess 4 - 8 years of relevant experience in a data analytics role, demonstrating a proven ability to deliver impactful insights and solve complex business problems. This level of experience indicates a level of seniority requiring independent work and mentorship capabilities. What We Offer Salary:

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer 0 Job Summary We are seeking a highly motivated and experienced Software Engineer to join our core engineering team in Chennai. This role requires a strong foundation in software development principles and a passion for building robust and scalable applications. The ideal candidate will possess a blend of technical expertise and a collaborative spirit, contributing to a dynamic and innovative environment. Key Responsibilities The Software Engineer will be responsible for designing, developing, and maintaining high-quality software solutions. This includes collaborating with cross-functional teams to define requirements, implementing efficient and testable code, and participating in code reviews to ensure adherence to coding standards and best practices. The role also involves troubleshooting and resolving software defects, and contributing to the continuous improvement of our development processes. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6 - 6 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independently contributing to complex projects and mentoring junior team members. Programming Languages: Proficiency in Java and JavaScript is essential. Frameworks & Technologies: Demonstrated experience with Angular , Springboot , and Spring Security . Cloud Technologies: Familiarity with Spring Cloud is highly desirable. Web Technologies: Solid understanding of HTML5 and CSS3 for building modern web applications. Architectural Patterns: Strong understanding of Microservices Architecture and the ability to design and implement scalable microservices. API Design: Expertise in RESTful API Design principles and best practices. Messaging: Experience with Asynchronous Messaging patterns and technologies. Version Control: Proficiency in using Git , GitHub , GitLab , or Bitbucket for version control and collaborative development. Analytical Skills: Exceptional Analytical Thinking skills to effectively analyze complex problems and develop creative solutions. Problem-Solving Skills: Proven Problem-Solving Skills to identify, diagnose, and resolve software defects and technical challenges. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•Full-time

Artificial Intelligence Senior Associate Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in Chennai. This role offers an exciting opportunity to contribute to cutting-edge AI and ML initiatives within a dynamic Technology environment. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI and ML models and systems. This includes collaborating with cross-functional teams to define project requirements, designing and implementing solutions, and ensuring the quality and reliability of deployed models. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms, techniques, and their practical applications. GCP : Proficiency in utilizing Google Cloud Platform ( GCP ) for developing and deploying AI and ML solutions. This includes experience with GCP services such as Vertex AI, BigQuery, and Cloud Storage. GenAI : Experience with Generative AI models and techniques, including understanding of large language models and their applications. AI Agents : Familiarity with the principles and implementation of AI Agents , including their design, development, and integration into existing systems. MLOps : Knowledge of MLOps practices and tools for automating and streamlining the machine learning lifecycle, from model development to deployment and monitoring. RESTful APIs : Ability to design and implement RESTful APIs for integrating AI and ML models with other systems and applications. Microservices : Experience with microservices architecture and its application in building scalable and resilient AI and ML systems. Data Pipelines : Ability to design and implement robust and efficient data pipelines for ingesting, transforming, and preparing data for AI and ML models. Model Monitoring : Experience with model monitoring techniques and tools for tracking model performance and identifying potential issues. Model Governance : Understanding of model governance principles and best practices for ensuring the ethical and responsible use of AI and ML models. Serverless : Familiarity with serverless computing concepts and technologies for building scalable and cost-effective AI and ML applications. Containerized : Experience with containerized deployments using technologies like Docker and Kubernetes . Agile : Experience working in an Agile development environment, with a focus on iterative development and continuous improvement. Product Management : Ability to collaborate with product management teams to define requirements and translate them into technical solutions. Reasoning : Strong analytical and reasoning skills for problem-solving and decision-making in complex situations. Tool-use : Ability to effectively utilize various AI and ML tools and technologies. APIs : Understanding of APIs and their role in integrating AI and ML models with other systems. Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI and ML . What We Offer We offer a competitive compensation package.

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team. This role will focus on leveraging cutting-edge AI/ML techniques to solve complex business challenges within the IT / Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, deployment, and maintenance of AI/ML models and systems. This includes contributing to the full lifecycle of AI projects, from initial conception and design to implementation, testing, and ongoing monitoring. Required Skills & Qualifications AI/ML : A strong understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for data analysis, prediction, and automation. GCP : Proficiency in utilizing Google Cloud Platform (GCP) for developing and deploying AI/ML solutions. This includes familiarity with GCP Services and their integration within a cloud-based environment. GenAI : Experience with Generative AI models and their applications. AI Agents : Knowledge of AI Agents and their implementation. RESTful APIs : Ability to design and integrate with RESTful APIs for seamless data exchange and system interoperability. Microservices : Understanding of Microservices architecture and its application in building scalable and resilient AI systems. MLOps : Experience with MLOps practices to streamline the machine learning lifecycle, including automation, continuous integration, and continuous delivery. Serverless : Familiarity with Serverless computing concepts and their application in building efficient and cost-effective AI solutions. Containerized : Experience with Containerized environments, such as Docker and Kubernetes , for deploying and managing AI applications. Agile : Proven ability to work within an Agile development framework, collaborating effectively with cross-functional teams. Product Management : Understanding of Product Management principles and their application in defining and delivering successful AI -powered products. Reasoning : Ability to apply logical Reasoning to solve complex problems and make informed decisions. Tool-use : Proficiency in utilizing various AI and ML tools and frameworks. APIs : Experience with APIs and their integration. Data Pipelines : Ability to design and implement robust Data Pipelines for efficient data processing and transformation. Model Training : Expertise in Model Training techniques and best practices. Model Deployment : Experience with Model Deployment strategies and tools. Model Versioning : Ability to implement Model Versioning to track and manage different versions of AI models. Model Monitoring : Proficiency in Model Monitoring techniques to ensure the ongoing performance and accuracy of AI models. Model Governance : Understanding of Model Governance principles and their application in ensuring responsible and ethical use of AI . Qualifications : A Bachelor's Degree is required. Experience Required : 3 - 5 years of relevant experience in the field of AI/ML is expected. This level of experience indicates a solid foundation in AI principles and a proven ability to contribute effectively to real-world projects. What We Offer Salary:

Software Engineer (2) - Commodity Engineer 0

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking two experienced Software Engineers to join our team in Bangalore. This role focuses on the development and maintenance of our Pega platform, with a strong emphasis on Commodity Engineer principles. The ideal candidate will possess a strong foundation in software engineering principles and a passion for building robust and scalable solutions. Key Responsibilities This role requires a high level of proficiency in designing, developing, and implementing solutions within the Pega environment. You will be responsible for the entire software development lifecycle, from requirements gathering to deployment and ongoing support. A key aspect of this role will be leveraging Automation Tools and DevOps Practices to ensure efficient and reliable delivery of high-quality software. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 6-8 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and implement complex software solutions, as well as mentor junior team members. Core Technologies: Pega and Pega PRPC Proficiency: Demonstrated expertise in the Pega platform, including Pega Constellation , Ruleset Strategy , Case Architecture , and Integration Architecture . Programming Languages: Strong proficiency in Python , C# , and JavaScript . .NET Development: Experience with .NET Developer , .Net Framework . RESTful Services, JSON, XML, HTTP, API: Ability to design and consume RESTful Services and work with data formats like JSON and XML . Cloud Technologies: Google Cloud Platform: Familiarity with Google Cloud Platform services. Cloud-Native Deployments: Experience with Cloud-Native Deployments , Kubernetes , AKS , and EKS . DevOps & Automation: DevOps Practices: Solid understanding of DevOps Practices , including CI/CD Pipelines and Release Governance . Automation Frameworks: Experience with Automation Frameworks . Pipeline Deployments: Ability to manage Pipeline Deployments and adhere to Merge Governance best practices. Data & Architecture: Data Model: Strong understanding of Data Model concepts. Microservices Architecture: Experience with Microservices Architecture . AI & Machine Learning: AI: Basic understanding of AI principles. GenAI: Exposure to GenAI concepts. Agentic AI: Familiarity with Agentic AI . Domain Knowledge: Banking, Financial Services: Understanding of Banking and Financial Services concepts, including Disputes , Cards , Payments , and Lending . Pega Smart Disputes: Experience with Pega Smart Disputes . Compliance, Regulatory Considerations: Awareness of Compliance and Regulatory Considerations . Other Skills: Analytical Skills: Strong Analytical Skills for problem-solving and data analysis. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. What We Offer Salary:

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking three Software Engineer professionals to join our growing team. This role is ideal for individuals with a strong foundation in software development and a passion for building scalable and robust applications within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The successful candidate will contribute to the development of high-quality Microservices and RESTful APIs , ensuring adherence to coding standards and best practices. Required Skills & Qualifications Education: A bachelor's degree is required. Experience: A minimum of 10 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. Programming Languages: Proficiency in Java and Spring Boot is essential. Cloud Technologies: Demonstrated experience with Google Cloud Platform (GCP) , including Cloud Run , and Red Hat OpenShift . Infrastructure Management: Solid understanding of Infrastructure as Code principles and experience with Terraform . DevOps Practices: Familiarity with CI/CD pipelines and associated tools. Database Management: Experience with SQL and Postgres databases. Software Development Best Practices: A commitment to Code Quality and a strong understanding of Testing methodologies, including Unit Testing and Integration Testing . Architectural Patterns: Experience designing and implementing Distributed Systems . Agile Methodologies: Proven ability to work effectively within an Agile development environment. Collaboration & Communication: Excellent Communication Skills and the ability to engage in effective Cross-functional teamwork . Project Management Tools: Experience using Jira for project tracking and issue resolution. Security Practices: A strong understanding of Security principles, including Encryption and Anonymization techniques. API Development: Experience in designing and implementing APIs . Problem-Solving & Analytical Skills: Exceptional Problem-Solving Skills and Analytical Skills . User Interface: Familiarity with User Interface development. JVM: Understanding of the JVM . Debugging: Proficiency in Debugging and Performance Tuning . What We Offer Salary: (No salary provided)